how to do a literature review using chatgpt

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ChatGPT for Research and Publication: A Step-by-Step Guide

Som s. biswas.

Department of Pediatric Radiology, Le Bonheur Children’s Hospital, The University of Tennessee Health Science Center, Memphis, TN.

Introduction

This commentary provides a concise step-by-step guide on using ChatGPT, an advanced natural language processing (NLP) model, for research and publication purposes. The guide assesses crucial aspects, including data preprocessing, fine-tuning techniques, prompt engineering, and ethical considerations. By addressing challenges related to biases, interpretability, and plagiarism, this commentary offers insights and recommendations for the responsible and ethical use of ChatGPT. The guide empowers researchers to ethically integrate ChatGPT effectively into their workflows, enhancing productivity and improving the quality of their scientific publications. Through clear instructions and guidelines, researchers can tap into the transformative potential of ChatGPT, driving scientific progress in a language-driven world.

In recent years, the field of NLP has witnessed remarkable advancements, bringing us closer to the realm of humanlike language generation. Among these advancements, ChatGPT, based on the groundbreaking GPT-3.5 architecture developed by OpenAI, stands as an impressive language model capable of generating coherent and contextually relevant text responses. With its ability to understand and respond to user inputs, ChatGPT has opened up new possibilities for various applications, including research and publication. 1 – 3

The traditional process of conducting research and publishing scientific papers has been significantly transformed by the emergence of ChatGPT. Researchers and authors can now leverage the power of this sophisticated language model to streamline and enhance their workflow, leading to improved efficiency and higher-quality publications. However, using ChatGPT effectively in the research and publication domain requires a comprehensive understanding of its capabilities, limitations, and best practices.

In this commentary I offer my thoughts for a step-by-step guide for researchers and authors who seek to harness the potential of ChatGPT in their research endeavors and publication efforts. By exploring various aspects, such as data preprocessing, fine-tuning techniques, prompt engineering, and ethical considerations, this guide will equip researchers with the necessary knowledge to harness the full potential of ChatGPT in their scientific pursuits. Moreover, this commentary will delve into the challenges associated with using ChatGPT for research and publication, including biases, interpretability, and concerns regarding plagiarism. By addressing these challenges directly, I aim to provide researchers with valuable insights and recommendations to navigate these important issues and ensure the responsible and ethical use of ChatGPT as a research tool. 4

The significance of my guide lies in its potential to bridge the gap between the rapid progress of language models like ChatGPT and the research and publication process. By elucidating the intricacies of integrating ChatGPT into scientific workflows, researchers will be empowered to leverage this advanced technology effectively, thereby enhancing the overall quality and impact of their research output. 5 In the following sections, I present a comprehensive overview of the steps involved in using ChatGPT for research and publication.

Step 1: Title and Title Page Creation by ChatGPT

ChatGPT can be a valuable tool in generating titles for research papers. Its ability to understand and generate humanlike text allows it to analyze and synthesize information provided by researchers to craft concise and impactful titles. By leveraging its vast knowledge base and language capabilities, ChatGPT can assist in capturing the essence of a research paper, conveying the main focus and contributions succinctly. Researchers can collaborate with ChatGPT by providing relevant information, such as the subject, objectives, methodology, and key findings of their study. ChatGPT can then generate multiple title options, offering different perspectives and angles that researchers can consider. This collaboration with ChatGPT can save time and stimulate creativity, helping researchers refine their titles to accurately represent their work and engage potential readers. ChatGPT can then be used to create the entire title page and then can also customize based on each journal’s recommendations.

For example:

Thus, we see that ChatGPT can write an entire title page based on just the title and author details. We notice that ChatGPT has created an email address that is incorrect and needs manual rectification. However, the rest of the title page, including keywords and the running title, is appropriate.

Step 2: Abstract/Summary Creation by chatGPT

ChatGPT can assist in condensing complex information into a clear and engaging abstract/summary, helping researchers communicate the significance and novelty of their research to a wider audience. By leveraging the language proficiency of ChatGPT, researchers can save time and effort in crafting abstracts while ensuring that the key aspects of their study are accurately represented.

In this example, we demonstrate that ChatGPT can create an entire abstract just by using the title alone. However, the more information researchers provide (preferably the entire body of the paper should be entered into chatGPT), the more accurate the abstract becomes.

Step 3: Introduction Creation by ChatGPT

By collaborating with ChatGPT, researchers can provide key information, such as the background, significance, and objectives of their study. ChatGPT can then generate a well-structured introduction that sets the context, highlights the relevance of the research, and outlines the paper’s objectives. Also, ChatGPT can be used to generate keywords and generate an abbreviations list from the article by using prompts. However, it is important to note that the generated introduction should be reviewed, customized, and refined by the researchers to align with their specific study and writing style.

In the example below, we note that ChatGPT has not only created an introduction but also the objectives of the study, which can then be edited by the human author.

Step 4: Can ChatGPT Create a Literature Review?

Yes, ChatGPT can help generate a literature review, but it is important to note that it may not have access to the most up-to-date research articles and studies due to copyrights and limited access to some journals. Additionally, a literature review typically requires a comprehensive analysis of multiple sources, so the generated response may not cover all relevant studies. Nonetheless, it can assist in providing a basic literature review on a given topic, which will need human authors to add to and edit it.

As we can see, ChatGPT is not as good at giving a detailed review of the literature as it is at summarizing contents or creating an introduction. Thus, its use is limited, if there is any at all, in this section of the paper.

Step 5: Can ChatGPT Assist in Brainstorming the Methodology of Studies?

ChatGPT can be a helpful tool in conceptualizing the methodology for research papers. By engaging in a conversation with ChatGPT, researchers can discuss their research objectives, study design, data collection methods, and data analysis techniques. ChatGPT’s natural language understanding allows it to provide suggestions and insights based on its knowledge base and understanding of research methodologies. Although ChatGPT can assist in generating ideas and providing guidance, it is important for researchers to critically evaluate and adapt the suggestions to align with their specific research goals and requirements.

Although the methodology is something that is unique to each paper and needs a human researcher to conceptualize it, we see in this example that ChatGPT can assist by giving ideas and examples based on the input of the title by the human researcher. Thus, ChatGPT can be part of brainstorming sessions when conceptualizing a study, although this section needs significant editing by a human, unlike the introduction or summary.

Step 6: Do Not Use ChatGPT for Fabricating Patient Data or Results!

This section of the paper must be authentic, and ChatGPT has a limited role, if any, because patient data have to be original. ChatGPT also currently cannot analyze clinical data compared with statistical software, like SPSS Statistics and Base SAS. However, Microsoft appears to be developing an Excel copilot that uses AI to create graphs and plots, and its use needs to be evaluated once it is released to the public. 6

Step 7: Discussion and Conclusions

This section of the paper can be generated by ChatGPT if all results are pasted as input; however, this section also needs manual editing because inaccuracies are common. By discussing their research with ChatGPT, researchers can also identify potential limitations, discuss the broader implications of their findings, and propose future research directions. Although ChatGPT can generate suggestions and facilitate the thought process, it is important for researchers to critically evaluate the information provided and ensure that the Discussion and Conclusion sections align with the specific research objectives and findings of their study. Ultimately, ChatGPT can serve as a supportive tool in developing a comprehensive and well-rounded discussion and conclusion for research papers.

Step 8: References

As per the author's experience, although ChatGPT is capable of creating references for an article, most of them are incorrect. So, using ChatGPT for creating references is not recommended. However, ChatGPT can convert references into any journaling style if the references are entered into ChatGPT and it is asked to convert them into a specific style.

Disadvantages of Using ChatGPT in Research

Although ChatGPT offers numerous advantages for assisting in the writing of research papers, there are also some important potential disadvantages to consider:

• Lack of domain expertise: ChatGPT is a general-purpose language model trained on a diverse range of Internet text, which means it may lack the specific domain expertise required for certain research topics. It may generate responses that are not accurate or well informed in specialized fields, potentially leading to incorrect or misleading information in research papers.
• Inconsistency and variability: ChatGPT’s responses can be inconsistent and vary depending on the input phrasing or prompt formulation. This can lead to unpredictability in generating reliable and coherent content, requiring additional effort to refine and ensure accuracy in research papers.
• Limited control over output: Although researchers can guide the model’s responses through prompts, ChatGPT’s generation process is still primarily autonomous. Researchers have limited control over the precise content and structure of the generated text, which may require careful editing and review to align with specific research goals, standards, and above all, accuracy.
• Biases and ethical considerations: Language models like ChatGPT can inadvertently reflect biases present in the training data. These biases may perpetuate existing societal or cultural biases in research papers, potentially leading to unfair or discriminatory content. The careful examination and mitigation of biases are crucial to ensure ethical and unbiased research output. 7
• Lack of interpretability: ChatGPT’s decision-making process is complex and not easily interpretable. Researchers may struggle to understand the reasoning behind the model’s generated responses, making it challenging to assess the reliability and credibility of the information provided. Ensuring transparency and interpretability in research papers becomes more challenging with such models. ChatGPT should cite the sources for its data, like Google Bard does.
• Plagiarism concerns: Because of its vast training data from the Internet, ChatGPT may inadvertently generate text that resembles or replicates existing content without proper citation or attribution. Researchers must be cautious about unintentional plagiarism and ensure that generated content is appropriately referenced and original. So, all ChatGPt-generated articles need to be double checked using antiplagiarism software.

In this commentary I have provided a comprehensive step-by-step guide for researchers and authors on harnessing the power of ChatGPT in the realm of research and publication. By exploring crucial aspects, such as data preprocessing, fine-tuning techniques, prompt engineering, and ethical considerations, the guide equips researchers with the necessary knowledge and tools to effectively integrate ChatGPT into their scientific workflows. 8

Through clear instructions, examples, and guidelines, researchers can navigate the complexities of using ChatGPT, leading to enhanced productivity and improved quality in their research output. Moreover, I address the challenges associated with biases, interpretability, and plagiarism concerns, ensuring the responsible and ethical usage of ChatGPT as a research tool.

The significance of this research lies in its ability to bridge the gap between the rapid advancements in language models like ChatGPT and the research and publication process. By empowering researchers with the skills to leverage ChatGPT effectively, this guide fosters innovation, drives scientific progress, and opens up new possibilities for transformative contributions to various fields. 9

As language-driven technologies continue to evolve, researchers must stay abreast of the latest advancements and best practices. The step-by-step guide presented in this commentary serves as a valuable resource, providing researchers with the knowledge and guidance necessary to maximize the potential of ChatGPT in their research endeavors. By embracing the capabilities of ChatGPT and ensuring its responsible and ethical use, researchers can revolutionize the way research and publications are conducted. With ChatGPT as a powerful tool in their arsenal, researchers are poised to make significant strides in their respective fields, pushing the boundaries of scientific knowledge and ushering in a new era of language-driven innovation. 10

However, and to reiterate, I cannot overemphasize that ChatGPT has, at present, many disadvantages, including inconsistencies, bias, and plagiarism concerns, that must be addressed by the human author before the article is submitted for publication to a journal, as well as prior to publication, because the human author(s) is solely responsible for their research integrity and accurate reporting.

In conclusion, I have attempted to provide researchers with a comprehensive understanding of how to effectively leverage ChatGPT for research and publication purposes. It has also highlighted the problems and precautions that the human author(s) must take before publishing ChatGPT-generated content. By embracing this step-by-step guide, researchers can unlock the full potential of ChatGPT, driving scientific progress and shaping the future of research and publications.

• Please use ChatGPT only if allowed by your institution, research lab, and the journal in question.
• Please acknowledge ChatGPT within your manuscript/published paper wherever you are using it.
• Please do not fabricate or plagiarize data. ChatGPT can be used only for summarizing texts, improving English writeups, and brainstorming ideas, and not for creating fabricated research raw data.

Acknowledgment.

The author acknowledges that this article was partially generated by ChatGPT (powered by OpenAI’s language model, GPT-3; http://openai.com ). The editing was performed by the human author.

Disclosures. The author declare no conflicts or financial interest in any product or service mentioned in the manuscript, including grants, equipment, medications, employment, gifts, and honoraria.

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Step-by-Step Guide: How to Use ChatGPT to Write a Literature Review With Prompts

Step-by-Step Guide: How to Use ChatGPT for Writing a Literature Review

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A step-by-step guide: how to use chatgpt for writing a literature review, chatgpt prompts to write a literature review.

Writing a literature review can be a challenging task for researchers and students alike. It requires a comprehensive understanding of the existing body of research on a particular topic. However, with the advent of advanced language models like ChatGPT, the process has become more accessible and efficient.

In this step-by-step guide, ilovephd will explore how you can leverage ChatGPT to write a compelling literature review that is both informative.

Step 1: Defining Your Research Objective Before diving into the literature review process, it is crucial to define your research objective.

Clearly articulate the topic, research question, or hypothesis you aim to address through your literature review. This step will help you maintain focus and guide your search for relevant sources.

Step 2: Identifying Keywords and Search Terms To effectively use ChatGPT to assist in your literature review, you need to identify relevant keywords and search terms related to your research topic.

These keywords will help you narrow down your search and gather pertinent information. Consider using tools like Google Keyword Planner or other keyword research tools to discover commonly used terms in your field.

Step 3: Familiarizing Yourself with ChatGPT Before engaging with ChatGPT, it is essential to understand its capabilities and limitations. Familiarize yourself with the prompts and commands that work best with the model.

Keep in mind that ChatGPT is an AI language model trained on a vast amount of data, so it can provide valuable insights and suggestions, but it’s important to critically evaluate and validate the information it generates.

Step 4: Generating an Initial Literature Review Outline Start by creating an outline for your literature review. Outline the main sections, such as the introduction, methodology, results, discussion, and conclusion.

Within each section, jot down the key points or subtopics you want to cover. This will help you organize your thoughts and structure your review effectively.

Step 5: Engaging with ChatGPT for Research Assistance Once you have your outline ready, engage with ChatGPT for research assistance.

Begin by providing a clear and concise prompt that specifies the topic, context, and any specific questions you have. For example, “What are the current trends in [your research topic]?” or “Can you provide an overview of the main theories on [your research question]?”

Step 6: Reviewing and Selecting Generated Content ChatGPT will generate a response based on your prompt. Carefully review the content generated, considering its relevance, accuracy, and coherence.

Extract key points, relevant references, and insightful arguments from the response and incorporate them into your literature review. Be sure to cite and attribute the sources appropriately.

Step 7: Ensuring Coherence and Flow While ChatGPT can provide valuable content, it’s important to ensure the coherence and flow of your literature review.

Use your critical thinking skills to connect the generated content with your research objective and existing knowledge. Rearrange, rephrase, and expand upon the generated text to ensure it aligns with the structure and purpose of your review.

Step 8: Editing and Proofreading Once you have incorporated the generated content into your literature review, thoroughly edit and proofread the document.

Check for grammatical errors, consistency in referencing, and overall clarity. This step is crucial to ensure your literature review is polished and professional.

Prompts you can use when engaging with ChatGPT for research assistance in writing a literature review:

• “Can you provide an overview of the main theories and concepts related to [your research topic]?”
• “What are the current trends and developments in [your research field]?”
• “Can you suggest some key studies or research papers on [specific aspect of your research topic]?”
• “What are the main methodologies used in conducting research on [your research topic]?”
• “Can you provide a critical analysis of the existing literature on [your research question]?”
• “Are there any gaps or areas of controversy in the literature on [your research topic] that need further exploration?”
• “What are the key findings and conclusions from the most recent studies on [your research topic]?”
• “Can you suggest some reputable journals or publications explore for relevant literature in [your research field]?”
• “What are the different perspectives or schools of thought in the literature on [your research topic]?”
• “Can you provide a summary of the historical background and evolution of research on [your research topic]?”

Remember to provide clear and specific instructions in your prompts to guide ChatGPT in generating relevant and accurate content for your literature review.

Using ChatGPT to write a literature review can greatly facilitate the research process. By following a step-by-step approach, researchers can effectively leverage ChatGPT’s capabilities to gather insights, generate content, and enhance the quality of their literature review. However, it is important to approach the generated content critically, validate it with reliable sources, and ensure coherence within the review.

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How To Use ChatGPT To Write A Literature Review: Prompts & References

In the rapidly evolving world of academic research, the integration of AI tools like ChatGPT has transformed the traditional approach to literature reviews. As a researcher, you should also leverage on this tool to make your research work easier.

In this post, explore how ChatGPT can enhance the literature review process. We’ll explore how specific prompts can effectively guide this advanced AI model to generate insightful content, while ensuring accuracy, relevance, and academic integrity in their scholarly work.

How to Use ChatGPT for Writing a Literature Review

Understanding chatgpt’s limitations.

While it can efficiently generate content, streamline the research process, and provide a comprehensive understanding of relevant literature, its capabilities are not without constraints. Here are some for you to consider:

Dependence On Pre-Existing Datasets

Since ChatGPT is a language model trained on available data, it may not include the most recent research papers or cutting-edge findings in a specific field. This gap can lead to a lack of current state-of-research insights, particularly crucial in fields like technology and science where advancements happen rapidly.

May Lack Depth And Context

ChatGPT, while able to produce summaries and synthesize information, might not fully grasp the nuanced arguments or complex theories specific to a research topic. This limitation necessitates that researchers critically evaluate and supplement AI-generated text with thorough analysis and insights from recent systematic reviews and primary sources.

Risk Of Plagiarism

Although ChatGPT can generate human-like text, it’s vital to ensure that the content for your literature review is original and properly cited. Relying solely on ChatGPT to write a literature review defeats the purpose of engaging deeply with the material and developing a personal understanding of the literature.

Not A Total Replacement of A Researcher

While ChatGPT can assist non-native English speakers in crafting clear and concise academic writing, it’s not a replacement for the human ability to contextualize and interpret research findings. Researchers must guide the AI model with specific prompts and leverage it as a tool rather than a substitute for comprehensive analysis.

By keeping these limitations in mind, ChatGPT can be a valuable aid in the literature review process, but it should be used judiciously and in conjunction with traditional research methods.

Defining Research Objective

When starting on writing a literature review, the initial step involves using ChatGPT to define your research question or hypothesis.

The AI model’s ability to respond with a summary of the current state of research in your field can provide a comprehensive understanding, especially for systematic reviews or research papers.

For example, by inputting a prompt related to your research topic, ChatGPT can generate human-like text, summarizing prior research and highlighting relevant literature.

One insider tip for effectively using ChatGPT in the literature review process is to leverage its natural language processing capabilities to identify relevant keywords.

These keywords are crucial for non-native English speakers or those new to a research field, as they streamline the search for pertinent academic writing. Additionally, ChatGPT can guide you in understanding the context of your research topic, offering insights that are often challenging to find.

Using AI language models like ChatGPT for generating content for your literature review is efficient and effective, saving valuable time. However, it’s vital to critically evaluate the generated text to ensure it aligns with your research objectives and to avoid plagiarism.

ChatGPT’s ability to synthesize large amounts of information can aid in developing a clear and concise outline, but remember, it’s a guide, not a replacement for human analysis.

Despite these limitations, ChatGPT provides a unique advantage in conducting literature reviews. It can automate mundane tasks, allowing researchers to focus on analysis and critical thinking.

Identifying Keywords and Search Terms

Using ChatGPT to identify relevant keywords related to your research topic can significantly streamline your workflow.

For instance, when you input a summary of your research question into ChatGPT, the AI model can generate a list of pertinent keywords.

These keywords are not just randomly selected; they are based on the vast amounts of information in ChatGPT’s dataset, making them highly relevant and often inclusive of terms that are current in your research field.

An insider tip for leveraging ChatGPT effectively is to guide the AI with clear and concise prompts.

For example, asking ChatGPT to: “summarize key themes in [specific field] research papers from the last five years” can yield a list of keywords and phrases that are not only relevant but also reflective of the current state of research.

This approach is particularly beneficial for conducting systematic reviews or for non-native English speakers who might be unfamiliar with specific academic jargon.

While ChatGPT can provide a comprehensive understanding of relevant literature and help automate the identification of keywords, it’s important to critically evaluate the generated content.

Researchers should use ChatGPT as a tool to augment their research process, not as a replacement for human insight.

It’s crucial to mind the limitations of the AI model and ensure that the keywords identified align with the research topic and objectives.

Creating an Initial Literature Review Outline

The key to using ChatGPT effectively in crafting an initial outline lies in its ability to generate content based on specific prompts.

For instance, a researcher working on organic photovoltaic devices can input a prompt into ChatGPT, such as “Help me create a structure for a literature review on organic photovoltaic devices.”

The AI model, using its comprehensive understanding of the research topic, can then produce a preliminary structure, including sections like:

• Introduction
• Advances in materials and technology, performance, and efficiency.

This generated outline serves as a valuable starting point. It helps in organizing thoughts and determining the key areas that the literature review should cover. I

mportantly, researchers can refine and expand this initial outline as they delve deeper into their topic, ensuring it aligns with their specific research question and the current state of research.

However, while ChatGPT can streamline the review process and save valuable time in creating an initial outline, researchers should not solely rely on it.

The content generated by ChatGPT must be critically evaluated and supplemented with in-depth research. This involves:

• Reading systematic reviews
• Reading research papers, and
• Summarizing relevant literature to ensure the review is comprehensive and up-to-date.

Get ChatGPT To Help You During Research, Using The Right Prompts

The key to effectively using ChatGPT in this process lies in crafting the right prompts, guiding the AI to generate relevant and useful content. 

When initiating a literature review, the prompt should aim for a broad understanding of the research topic. For instance, asking ChatGPT to:

• “Give a brief overview of research done on [topic]”
• “What are some of the recent findings on the [topic] in research?” or 
• “Summarize the historical development of [topic] in academia”

Helps in capturing the general landscape of the field. These prompts assist in identifying key theories, methodologies, and authors within the research area. As the review progresses, more specific prompts are necessary to delve deeper into individual studies. Queries like:

• “Summarize the main arguments and findings of [specific paper]” or
• “What are the strengths and weaknesses of [specific paper]?”

enable ChatGPT to provide detailed insights into particular research papers, aiding in understanding their contribution to the broader field. Comparative prompts are also crucial in synthesizing information across multiple works. Asking ChatGPT to:

• “Compare and contrast the methodologies of [paper 1] and [paper 2]” or
• “How do the findings of [paper 1] and [paper 2] agree or disagree?”

helps in discerning the nuances and disparities in the literature. In the final stages of the literature review, prompts should focus on summarizing findings and identifying emerging trends or gaps. For example:

• “What trends or patterns have emerged from the literature on [topic]?” or
• “What future research directions are suggested by the literature on [topic]?”

We will share more on these ChatGPT prompts in the later part of this post, read on.

Reviewing ChatGPT’s Responses

When using ChatGPT to write a literature review, it’s crucial to critically evaluate its responses.

Firstly, researchers should cross-reference the information provided by ChatGPT with actual research papers.

This step ensures the accuracy of the data and helps in identifying any discrepancies or outdated information, given that ChatGPT’s dataset may not include the most recent studies.

Another essential aspect is assessing the coherence and depth of the AI-generated text. ChatGPT can summarize and synthesize information efficiently, but it might not capture the nuances of complex theories or research arguments.

Researchers should ensure that the content aligns with their research question and systematically reviews the topic comprehensively. This is where a researcher’s value comes in.

Additionally, verifying the originality of the content is vital to avoid plagiarism. While ChatGPT can generate human-like text, researchers must ensure that the AI-generated content is used as a guide rather than a verbatim source. 

Proper citations and references are essential to maintain the integrity of the literature review. Avoid torpedoing your own research by committing plagiarism.

Ensuring Coherence and Flow

One of the challenges when using such advanced AI language models is ensuring the coherence and flow of the final document. This aspect is crucial as it determines the readability and academic rigor of the literature review.

ChatGPT can generate vast amounts of content on a wide range of topics, responding efficiently to prompts and synthesizing information from its extensive dataset.

However, the content generated by ChatGPT, while informative, might not always align seamlessly with the specific research question or maintain a consistent narrative flow.

To tackle this, researchers need to take an active role in guiding ChatGPT and subsequently refining its output.

A practical approach is to use ChatGPT as a starting point, leveraging its ability to quickly provide summaries, synthesize relevant literature, and identify key references and keywords related to the research topic. For example, prompts like:

• “Summarize the current research on [topic]” or
• “Identify key debates in [topic]”

Can yield valuable initial insights.

Once this foundational information is obtained, the crucial task is to carefully review and edit the AI-generated content.

This involves connecting the dots between different sections, ensuring that each part contributes meaningfully to addressing the research question, and refining the language to maintain academic standards.

It’s also essential to check for and avoid plagiarism, ensuring that all sources are correctly cited.

In addition, considering the vast amounts of information ChatGPT can access, it’s vital to verify the accuracy and relevance of the content.

Researchers should cross-reference AI-generated summaries with actual research papers, especially the most recent ones, as ChatGPT’s dataset may not include the latest studies.

Editing and Proofreading

Now that your literature review is mostly written out, now focus on the editing and proofreading. The content generated by ChatGPT needs to be meticulously reviewed and edited. Here are the steps:

• Verifying the accuracy of the information. Researchers must cross-check the AI-generated content against actual research papers and systematic reviews. This ensures that the latest studies are accurately represented.
• Improve coherence and flow. Researchers should restructure sentences, ensure logical progression of ideas, and maintain a consistent academic tone throughout the document.
• Checking for plagiarism. Despite ChatGPT’s ability to generate human-like text, researchers must ensure that all sources are correctly cited and that the review does not inadvertently replicate existing material.
• Check Grammar and Spelling: Editing should encompass grammar checks, vocabulary refinement, and ensuring that the language used is appropriate for an academic audience.
• Update Citation: Review citation, or reference list to ensure everything is cited correctly, and the citation list is written out to your required standard, be it MLA, Chicago, or APA.

What ChatGPT Prompts To Use When Writing A Literature Review?

There are many ways to use ChatGPT to write literature review, usually by using the right prompts. Here’s how specific types of prompts can be effectively employed, with multiple examples for each category:

• “Provide a comprehensive overview of the latest research on [topic].”
• “Summarize the current understanding and key findings in the field of [topic].”
• “Detail the dominant theoretical frameworks currently used in [topic].”
• “Describe the evolution of theoretical approaches in [topic] over the past decade.”
• “Identify and discuss the major debates or controversies in [topic].”
• “What are the conflicting viewpoints or schools of thought in [topic]?”
• “List the leading researchers in [topic] and summarize their key contributions.”
• “Who are the emerging authors in [topic], and what unique perspectives do they offer?”
• “Explain the most common research methodologies used in studies about [topic].”
• “How have the methodologies in [topic] research evolved recently?”
• “Trace the historical development and major milestones in [topic].”
• “Provide a timeline of the key discoveries and shifts in understanding in [topic].”
• “What significant paradigm shifts have occurred in [topic] in the last twenty years?”
• “How has the focus of research in [topic] changed over time?”
• “Analyze the methodology and conclusions of [specific paper].”
• “Discuss the impact and reception of [specific paper] in the field of [topic].”
• “Compare the results and methodologies of [paper 1] and [paper 2] in [topic].”
• “How do [paper 1] and [paper 2] differ in their approach to [topic]?”
• “Based on current literature, what are the suggested future research directions in [topic]?”
• “Identify gaps in the literature of [topic] that could be explored in future studies.”

By using these types of prompts, researchers can guide ChatGPT to produce content that is not only relevant to their literature review but also rich in detail and scope.

Wrapping Up: Use Other AI Tools Too, Not Just ChatGPT

In conclusion, while ChatGPT serves as a powerful ally in the literature review process, it’s important to recognize it as one of many AI tools available to researchers as well. Diversifying your AI toolkit can enhance the depth and breadth of your review, offering varied perspectives and methodologies.

As AI continues to evolve, embracing a range of these tools can lead to more comprehensive, nuanced, and innovative academic writing, expanding the horizons of research and scholarly exploration beyond what we currently envision.

Dr Andrew Stapleton has a Masters and PhD in Chemistry from the UK and Australia. He has many years of research experience and has worked as a Postdoctoral Fellow and Associate at a number of Universities. Although having secured funding for his own research, he left academia to help others with his YouTube channel all about the inner workings of academia and how to make it work for you.

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• How to Use ChatGPT to Accelerate Literature Review I’d like to show you how I use ChatGPT to speed up my literature review process. The topic I am exploring is heterogeneity(diversity) learning. I started with the keyword “Info-GAIL” as I read about it when using GAIL in the past.
• ChatGPT Simple Literature Review Template The evolution of library services in the digital age has seen a significant shift towards automation and artificial intelligence applications, with OpenAI's ChatGPT being one of the most popular tools. This literature review explores the trends in the application of ChatGPT in library settings, focusing on user engagement and support services from 2015 to 2023.
• ChatGPT as a Tool for Library Research – Some Notes and Suggestions I see ChatGPT and its alternatives as having partial value as tools for library searching. You can use them without any training, but they will perform better when you know some details about them.

9 Ways To Use ChatGPT To Write A Literature Review (WITHOUT Plagiarism) Video

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How to Use ChatGPT to Write a Literature Review With Prompts

Dr. Somasundaram R | https://www.ilovephd.com/ | Copyright © 2019-2023 – iLovePhD | May 19, 2023

Writing a literature review can be a challenging task for researchers and students alike. It requires a comprehensive understanding of the existing body of research on a particular topic. However, with the advent of advanced language models like ChatGPT, the process has become more accessible and efficient.

Discover how to effectively utilize ChatGPT as a research assistant to write a comprehensive and SEO-friendly literature review. Follow our step-by-step guide to leverage this powerful tool, optimize your review for search engines, and contribute to the scholarly conversation in your field.

A Step-by-Step Guide: How to Use ChatGPT for Writing a Literature Review

Step 1: Defining Your Research Objective Before diving into the literature review process, it is crucial to define your research objective.

Clearly articulate the topic, research question, or hypothesis you aim to address through your literature review. This step will help you maintain focus and guide your search for relevant sources.

Step 2: Identifying Keywords and Search Terms To effectively use ChatGPT to assist in your literature review, you need to identify relevant keywords and search terms related to your research topic.

These keywords will help you narrow down your search and gather pertinent information. Consider using tools like Google Keyword Planner or other keyword research tools to discover commonly used terms in your field.

Step 3: Familiarizing Yourself with ChatGPT Before engaging with ChatGPT, it is essential to understand its capabilities and limitations. Familiarize yourself with the prompts and commands that work best with the model.

Keep in mind that ChatGPT is an AI language model trained on a vast amount of data, so it can provide valuable insights and suggestions, but it’s important to critically evaluate and validate the information it generates.

Step 4: Generating an Initial Literature Review Outline Start by creating an outline for your literature review. Outline the main sections, such as the introduction, methodology, results, discussion, and conclusion.

Within each section, jot down the key points or subtopics you want to cover. This will help you organize your thoughts and structure your review effectively.

Step 5: Engaging with ChatGPT for Research Assistance Once you have your outline ready, engage with ChatGPT for research assistance.

Begin by providing a clear and concise prompt that specifies the topic, context, and any specific questions you have. For example, “What are the current trends in [your research topic]?” or “Can you provide an overview of the main theories on [your research question]?”

Step 6: Reviewing and Selecting Generated Content ChatGPT will generate a response based on your prompt. Carefully review the content generated, considering its relevance, accuracy, and coherence.

Extract key points, relevant references, and insightful arguments from the response and incorporate them into your literature review. Be sure to cite and attribute the sources appropriately.

Step 7: Ensuring Coherence and Flow While ChatGPT can provide valuable content, it’s important to ensure the coherence and flow of your literature review.

Use your critical thinking skills to connect the generated content with your research objective and existing knowledge. Rearrange, rephrase, and expand upon the generated text to ensure it aligns with the structure and purpose of your review.

Step 8: Editing and Proofreading Once you have incorporated the generated content into your literature review, thoroughly edit and proofread the document.

Check for grammatical errors, consistency in referencing, and overall clarity. This step is crucial to ensure your literature review is polished and professional.

ChatGPT prompts to Write a Literature Review

Prompts you can use when engaging with ChatGPT for research assistance in writing a literature review:

“Can you provide an overview of the main theories and concepts related to [your research topic]?”

“What are the current trends and developments in [your research field]?”

“Can you suggest some key studies or research papers on [specific aspect of your research topic]?”

“What are the main methodologies used in conducting research on [your research topic]?”

“Can you provide a critical analysis of the existing literature on [your research question]?”

“Are there any gaps or areas of controversy in the literature on [your research topic] that need further exploration?”

“What are the key findings and conclusions from the most recent studies on [your research topic]?”

“Can you suggest some reputable journals or publications explore for relevant literature in [your research field]?”

“What are the different perspectives or schools of thought in the literature on [your research topic]?”

“Can you provide a summary of the historical background and evolution of research on [your research topic]?”

Remember to provide clear and specific instructions in your prompts to guide ChatGPT in generating relevant and accurate content for your literature review.

Using ChatGPT to write a literature review can greatly facilitate the research process. By following a step-by-step approach, researchers can effectively leverage ChatGPT’s capabilities to gather insights, generate content, and enhance the quality of their literature review. However, it is important to approach the generated content critically, validate it with reliable sources, and ensure coherence within the review.

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80+ ChatGPT Prompts for Literature Review

Conducting a literature review can often seem like a daunting task. It's an essential part of academic and research work, involving comprehensive and critical analysis of previously published research related to a specific topic. The goal is to gain a deep understanding of the state of knowledge on the topic, identify gaps, and provide a foundation for further research.

Traditionally, literature reviews have been manual, time-consuming processes. However, the advancement of technology, especially Artificial Intelligence (AI), is reshaping this landscape. One such development is ChatGPT, an AI developed by OpenAI. This tool can assist researchers in conducting more efficient and thorough literature reviews.

In this blog post, we will delve into the ways that ChatGPT, with its remarkable language understanding and generation capabilities, can be used to streamline your literature review process.

From explaining the basic capabilities of ChatGPT to providing essential prompts and tips to conduct a literature review, this post will serve as a comprehensive guide for those looking to leverage AI for academic research.

Stay tuned as we navigate this fascinating convergence of AI and research, and explore the potential of ChatGPT in making literature reviews more efficient and effective.

Table of Contents

The Power of AI in Literature Reviews

The role of Artificial Intelligence (AI) in academia and research is expanding rapidly. AI has emerged as a game-changing tool that can significantly enhance the process of conducting literature reviews.

The Benefits of AI in Conducting Literature Reviews

There are numerous advantages to using AI for literature reviews. Let's delve into these benefits:

Time Efficiency

AI can streamline the literature review process, significantly reducing the time taken. With AI, you can quickly scan vast amounts of literature, saving valuable time that can be used for analysis and synthesis.

Comprehensive Coverage

AI algorithms are capable of scanning and analyzing a far greater volume of literature than a human could reasonably manage. This ensures a comprehensive and exhaustive review of existing literature.

Consistency and Bias Reduction

AI maintains a level of consistency that is hard to achieve manually. It does not suffer from fatigue or bias, ensuring that all relevant literature is considered fairly.

The Role of ChatGPT in Literature Reviews

ChatGPT, developed by OpenAI, has proven to be a valuable tool for conducting literature reviews. It is a language model that can understand and generate human-like text, making it an excellent tool for understanding complex academic literature and providing summaries or insights.

Here are some example prompts that can be used to guide ChatGPT in assisting with literature reviews:

Example Prompts:

Generate a summary of this research paper.

What are the key findings of this study?

How does this research contribute to the field of [specific field]?

Identify the strengths and weaknesses of this study.

Compare this study with the previous study on the same topic.

What are the research gaps identified in this literature?

What future research directions are suggested by this study?

Preparing for a ChatGPT-Assisted Literature Review

Before diving into a literature review with ChatGPT, you need to set the stage right. Preparation is crucial to ensuring you get the most out of your AI-assisted literature review process.

Detailed Steps on How to Set Up for a Literature Review Using ChatGPT

• Understand Your Topic : Before starting, ensure you have a clear understanding of your topic and the specific aspects you want to focus on in the literature review.
• Gather Your Materials : Collect all the papers, articles, and sources you plan to include in your literature review.
• Organize Your Materials : Categorize your sources based on various parameters like theme, methodology, results, etc. This will make it easier to navigate through them during the review.
• Prepare Your Prompts : Create a list of prompts you plan to use with ChatGPT. These prompts should be designed to extract the information you need from each source.

Tips for Effective Use of ChatGPT in Literature Review

Preparing a list of keywords or topics.

Start with a broad overview of your research topic and gradually narrow down the scope by identifying specific sub-topics, methodologies, or research questions you want to explore. Use these as keywords for your prompts.

Having Clear Objectives for the Review

Before beginning your review, clearly outline what you hope to achieve. This could be understanding the current state of research, identifying gaps, comparing methodologies, etc.

Understanding the Limits of AI Assistance

While ChatGPT is a powerful tool, it's essential to remember it is a tool and not a replacement for human analysis. Use it to process and summarize information, but the interpretation and synthesis of this information should be done by you.

Provide an overview of the literature on [specific topic].

Summarize the methodologies used in the studies on [specific topic].

Identify common themes in the literature on [specific topic].

What are the disagreements in the literature about [specific topic]?

Analyze the impact of [specific study] on the broader field of [specific topic].

What are the emerging trends in the literature on [specific topic]?

What are the commonly cited sources in the literature on [specific topic]?

Essential ChatGPT Prompts for Literature Review

ChatGPT is a powerful tool for conducting literature reviews, and the key to using it effectively is crafting the right prompts. These prompts guide the AI in scanning, analyzing, and summarizing the literature based on your specific needs.

Need To Write A Thesis? ➡️ 87+ ChatGPT Prompts for Thesis Writing

Initial Exploration of a Topic

When you're just starting a literature review, you'll need prompts that help you gain a broad understanding of your research topic. These prompts can assist in grasping the general landscape of the literature.

Give a brief overview of research done on [topic].

What are the prominent theories or models in [topic]?

What are the key debates or controversies in [topic]?

Who are the key authors or researchers in [topic]?

What methodologies are commonly used in studies on [topic]?

Summarize the historical development of [topic] in academia.

What have been the significant shifts or changes in [topic] over time?

Deep Diving into Specific Studies

Once you have a broad understanding, you'll want to delve into specific studies or papers. These prompts help you extract detailed information from individual sources.

Summarize the main arguments and findings of [specific paper].

What methodology does [specific paper] use and why?

What are the strengths and weaknesses of [specific paper]?

How does [specific paper] contribute to the broader field of [topic]?

Compare the findings of [specific paper] with [another specific paper].

What future research does [specific paper] suggest or inspire?

How has [specific paper] been received or critiqued by other scholars in the field?

Comparing and Contrasting Different Works

ChatGPT can also help you identify similarities and differences between various sources. These prompts are useful for synthesizing information across multiple works.

Compare and contrast the methodologies of [paper 1] and [paper 2].

How do the findings of [paper 1] and [paper 2] agree or disagree?

How does [author 1]'s perspective on [topic] differ from [author 2]'s?

Compare the theoretical frameworks used in [paper 1] and [paper 2].

How does the approach to [topic] change over time as seen in [earlier paper] vs. [later paper]?

What themes are common across these studies on [topic]?

What disparities or contradictions exist in the literature on [topic]?

Summarizing Findings

Finally, as you conclude your literature review, you'll want to summarize your findings. These prompts help you consolidate your insights and present them clearly.

Summarize the key findings from my literature review on [topic].

What trends or patterns have emerged from the literature on [topic]?

What gaps or unanswered questions exist in the literature on [topic]?

How have perspectives on [topic] evolved over time, based on the literature?

What consensus, if any, exists in the literature on [topic]?

How does the literature inform our understanding of [topic]?

What future research directions are suggested by the literature on [topic]?

How to Create Effective ChatGPT Prompts

Crafting effective prompts for ChatGPT is part art, part science. It involves understanding the workings of the AI model, your research objectives, and the specific information you seek from your literature review.

Guidelines for Creating Effective ChatGPT Prompts

Here are some general guidelines to follow when crafting prompts for ChatGPT:

• Be Specific : The more specific your prompt, the more focused and relevant the AI's response will be.
• Use Clear Language : Make your prompts as clear and concise as possible. Avoid ambiguous terms and complex phrasing.
• Guide the AI : To get the best results, guide the AI towards the kind of response you're looking for. For example, if you want a summary, explicitly ask for a summary.
• Experiment and Iterate : Different prompts can yield different results. Don't be afraid to tweak your prompts and try different approaches to find what works best.

Tips for Refining and Iterating on Prompts

Prompts may not always work perfectly on the first try. Here are some tips for refining and iterating on your prompts:

• Analyze the Responses : Look at the AI's responses to understand how it is interpreting your prompts. If the responses are not what you expected, tweak your prompt to guide the AI more accurately.
• Try Different Angles : If a prompt isn't working, try approaching the question from a different angle or rephrasing the prompt.
• Split Complex Prompts : If a prompt is too complex, try splitting it into multiple simpler prompts.

Provide a summary of the main arguments in [specific paper].

What are the primary findings of [specific paper]?

Analyze the methodology used in [specific paper].

What are the implications of [specific paper] for future research?

Compare the findings of [specific paper] with those of [another specific paper].

What critiques have been made about [specific paper]?

What are the key themes across the literature on [specific topic]?

Examples of Good and Less Effective Prompts

Here are some examples of good and less effective prompts to help guide your prompt crafting:

Good Prompts:

Less Effective Prompts:

• Tell me about [specific paper]. (This is too vague and doesn't guide the AI towards the specific information you're seeking.)
• What's interesting about [specific paper]? (This prompt is subjective and may not yield useful information for a literature review.)
• What's everyone saying about [topic]? (This prompt is overly broad and might result in a wide range of responses that aren't focused enough for a literature review.)

Navigating Challenges in Using ChatGPT for Literature Reviews

While ChatGPT can be a powerful tool for conducting literature reviews, it's important to understand its limitations and potential challenges. Being aware of these can help you navigate the process more effectively.

Understanding the Limitations of ChatGPT

Despite its sophisticated capabilities, ChatGPT is not without its limitations. Here are some to keep in mind:

• Dependency on Input Quality : The quality of ChatGPT's responses depends on the quality and clarity of the prompts you provide.
• Lack of Critical Analysis : While ChatGPT can summarize and synthesize information, it can't provide the same level of critical analysis and judgment that a human researcher can.
• Potential for Misinterpretation : ChatGPT may occasionally misinterpret prompts or generate responses that miss the mark.

Overcoming Challenges in Using ChatGPT for Literature Reviews

Despite these limitations, there are ways to overcome the challenges in using ChatGPT for literature reviews:

• Carefully Craft Your Prompts : As noted earlier, the quality of your prompts greatly influences the AI's output. Spend time crafting and refining your prompts.
• Double-Check the Information : Always cross-check the AI's responses against the original sources to ensure accuracy.
• Combine AI and Human Analysis : Use ChatGPT as a tool to assist with your literature review, not as a replacement for your own analysis.

Here are some example prompts that can help you navigate potential challenges:

If the response seems off: Could you provide another summary of [specific paper]?

For double-checking information: What are the key findings of [specific paper]?

To ensure comprehensive coverage: Are there any other significant points in [specific paper] that haven't been mentioned?

If the response is too broad: Could you provide a more focused summary of the methodology in [specific paper]?

If the response is too narrow: What are the broader implications of [specific paper] for the field?

To clarify a complex point: Can you explain the main argument in [specific paper] in simpler terms?

To guide the AI's interpretation: Based on [specific paper], what are the potential areas for future research in this field?

More Great ChatGPT Prompts for Literature Reviews

An engaging literature review requires delving into a range of perspectives, methodologies, and findings within your chosen area of study. Crafting prompts that encourage varied and in-depth analysis can help you gain a comprehensive understanding of your topic. Here are more unique prompt ideas to enrich your literature review process using ChatGPT:

What are the key variables studied in relation to [topic]?

What theoretical frameworks have been applied to the study of [topic]?

Explain the significance of [specific study] in the field of [topic].

What are the ethical considerations discussed in the literature on [topic]?

How does [specific paper] challenge the prevailing understanding of [topic]?

What statistical methods are commonly used in studies on [topic]?

Discuss the influence of [specific author] on the research of [topic].

How have the research methods evolved over time in the study of [topic]?

What are the socio-cultural considerations in the literature on [topic]?

How does [specific paper] address the limitations of previous studies on [topic]?

Describe the study design of [specific paper] in the context of [topic].

What contributions does [specific paper] make to the existing literature on [topic]?

How have policy changes affected the research on [topic] over time?

What is the role of technology in the research of [topic]?

Identify the key longitudinal studies in the field of [topic].

What are the demographic considerations in studies on [topic]?

How does [specific paper] incorporate interdisciplinary approaches to [topic]?

What biases or assumptions are present in the literature on [topic]?

How does [specific paper] use empirical data to support its arguments on [topic]?

Discuss the replication studies in the field of [topic].

What are the implications of the literature on [topic] for practitioners?

How does the literature on [topic] align or contrast with public opinion?

What are the critical reviews or meta-analyses in the field of [topic]?

How does [specific paper] discuss the limitations of its own study on [topic]?

Identify the seminal works in the field of [topic] and explain their significance.

In the rapidly evolving world of AI, tools like ChatGPT have the potential to revolutionize the way we approach tasks such as literature reviews. This powerful AI model, when provided with carefully crafted prompts, can sift through and synthesize vast amounts of information, assisting you in navigating the complex landscape of academic literature.

Remember, the power of ChatGPT lies in its ability to respond to diverse prompts. While this blog post has offered several useful prompts and tips for conducting a literature review, don't hesitate to experiment and innovate with your own prompts. Your creativity and critical thinking, combined with ChatGPT's capabilities, can turn the daunting task of literature review into a more engaging and manageable process.

However, it's important to bear in mind the limitations of AI and to always complement AI-generated insights with your own critical analysis.

As you embark on your journey of exploration and discovery in your chosen field of study, may ChatGPT prove a valuable ally in helping you uncover the rich tapestry of ideas, debates, and breakthroughs that form the essence of academic literature.

75+ ChatGPT Prompts for Presentations

120+ ChatGPT Prompts for Social Media Posts

About R.J. Adams

R.J. is an artificial intelligence aficionado, committed to demystifying the intricacies of this cutting-edge technology for enthusiasts and novices alike. Leveraging his comprehensive background in internet marketing, online tools, and communications, he continually ventures into the landscape of newly released AI tools, conducting thorough tests and analyses, as well as finding the best prompts to use on the latest AI tools. He can also solve Rubik's Cube in under 2 minutes.

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• Published: 28 July 2023

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Application ChatGPT in conducting systematic reviews and meta-analyses

• Simpy Amit Mahuli 1 ,
• Arpita Rai 2 ,
• Amit Vasant Mahuli 3 &
• Ansul Kumar 4  

British Dental Journal volume  235 ,  pages 90–92 ( 2023 ) Cite this article

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Systematic reviews and meta-analyses, which involve thorough literature searches and synthesis, are essential for evidence-based decision-making. With the growing number of publications, thorough review takes more time. A systematic review often takes more than 15 months to complete, and the long conception-completion interval may render a systematic review outdated by the time they are ready to be submitted and published. 1 , 2

Artificial intelligence (AI)-based quick approaches are being developed in response to the growing demand for screening and data extraction techniques that are more effective. These techniques automate decision-making by utilising machine learning (ML) algorithms and natural language processing (NLP) to extract pertinent information from textual material. These AI-based methods have the potential to accelerate the processes of systematic reviews and evidence synthesis while requiring less human labour. 3 , 4

ChatGPT is a Large Language Model (LLM) developed by OpenAI (OpenAI, L.L.C., San Francisco, CA, USA) which has tremendous potential to revolutionise the healthcare industry. ChatGPT has been effectively used for a variety of tasks in healthcare, including conducting literature reviews, analysing datasets, writing academic papers, documentation, and enhancing clinical workflow. ChatGPT is a significant advancement in the field of NLP. It generates human-like text by mimicking human language processing abilities using deep learning techniques and neural networks. Owing to its training on diverse datasets, it is able to provide pertinent responses to human prompts by processing large amounts of information. The easy accessibility and free availability have contributed to the success ChatGPT version 3.5 platform. 5

We tried to use ChatGPT for conducting Risk of Bias analysis and data extraction from a randomised controlled trial. The response of ChatGPT was surprising, to say the least. Conducting such processes through ChatGPT is simple and straightforward.

Firstly, to conduct a ROB analysis effectively using AI, obtaining the full-text version of the article under evaluation is crucial. This ensures that all relevant information and details necessary for the assessment are available. As an AI tool, it does not have real-time browsing capabilities, so it cannot search the internet or access the latest research articles. Additionally, it being a text-based AI, we cannot upload or import text/pdf files into the chatbox. However, ChatGPT can still try to assist us with general questions or provide guidance based on the information we provide from the study. If we have any specific questions or excerpts from the study that we would like ChatGPT to analyse or discuss, we can paste them into the chat box, and ChatGPT will do its best to assist.

AI provides validation to the information obtained through human effort and may even catch some details that are missed by the human eye.

Secondly, we need to provide clear and specific instructions to the tool for it to provide an appropriate response. Hence when prompted 'Can you use the ROBINS-I tool to evaluate "(Materials and methods from the full-text article)"', it generated a detailed response highlighting the various lacunae in the methodology in context of the Biases included in the ROBINS-I tool ( Fig. 1 and Fig. 2 ). This assessment does not eliminate the need for a human expert; however, it considerably reduces the time and effort required for the process. Also, AI provides validation to the information obtained through human effort and may even catch some details that are missed by the human eye. Additionally, ChatGPT is extremely helpful in the interpretation of studies for those who are not so fluent in the language. While ChatGPT can comprehend and generate text in languages other than English to some extent, its proficiency may vary across different languages. It's worth noting that ChatGPT's performance is generally more robust in English, as the majority of its training data is in English.

Screenshot of query for RoB analyis

Screenshot of ChatGPT's response to RoB analysis

Next, we tried to use ChatGPT for data extraction. By sharing the complete text and specifying the desired information or data to be extracted, AI can be of assistance. Hence, following various prompts from us, ChatGPT extracted data like mean values, standard deviation and sample size for study groups and sub-groups and presented it. Also, it was able to extract information from the tables provided, though it is not possible to paste a table in the chatbox. We can paste the data in the table en masse into the chatbox and it was able to interpret and extract information from it ( Fig. 3 and Fig. 4 ). Needless to say, this will reduce the time required for data extraction as well as ensure accuracy of the values, thereby reducing human errors.

Screenshot of query for data extraction from text

Response from ChatGPT for various queries for data extraction

AI methods are increasingly integrated into healthcare reviews to streamline processes. A recent systematic review by Blaizot et al. identified and examined automated tools and platforms that utilise artificial intelligence (AI) techniques. It assessed the pros and cons associated with the use of these methods in conducting systematic reviews. They identified various tools like Rayyan, Robot Reviewer, EPPI-reviewer, SWIFT-review, and Abstrackr which were employed for different review stages. Most included reviews acknowledged that screening with AI methods generally demonstrates low risks and enhances efficiency. However, possibility of missing relevant articles and issues in data extraction required human intervention. 4

ChatGPT possesses several distinct advantages in comparison to other AI tools. Its ability to retain context and coherence during conversations equips it to comprehend and respond to complex queries. It is extremely versatile which is demonstrated through its proficiency in handling various tasks, including factual inquiries, explanatory responses, creative content generation, and problem-solving assistance. ChatGPT is continuously evolving through regular updates and fine-tuning based on user feedback and new training data, enhancing its performance and accuracy over time. 5

It is crucial to acknowledge that ChatGPT also has limitations. These include the potential for generating incorrect or biased responses and its reliance on pre-existing data. Users should exercise critical thinking and independently verify information obtained from any AI tool. Currently, it is unable to process visual information; however, this issue has been addressed in ChatGPT 4.0. Additionally, the model's output heavily relies on user input; minor changes in the query can lead to significant alterations in the response. 5

This was the first attempt to test the feasibility of using ChatGPT in the tedious task of conducting systematic reviews and meta-analyses. It shows promise in reducing workload and time, but careful implementation and validation are necessary. We as researchers need to interact more with this tool to completely understand its applicability in generating evidence.

Borah R, Brown A W, Capers P L, Kaiser K A. Analysis of the time and workers needed to conduct systematic reviews of medical interventions using data from the PROSPERO registry. BMJ Open 2017; doi: 10.1136/bmjopen-2016-012545.

Yaffe J, Montgomery P, Hopewell S, Shepard L D. Empty reviews: a description and consideration of Cochrane systematic reviews with no included studies. PLoS One 2012; doi: doi: 10.1371/journal.pone.0036626.

Chollet F. Deep learning with Python. pp 361. Shelter Island, New York: Manning Publications Co, 2018.

Blaizot A, Veettil S K, Saidoung P, Moreno-Garcia C F et al . Using artificial intelligence methods for systematic review in health sciences: A systematic review. Res Synth Methods 2022; 13: 353-362.

OpenAI. Introducing ChatGPT. Available at: https://openai.com/blog/chatgpt (accessed 19 May 2023).

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PhD Scholar, Rajendra Institute of Medical Sciences (RIMS), Bariatu, Ranchi – 834009, India

Simpy Amit Mahuli

Associate Professor, Oral Medicine and Radiology, Rajendra Institute of Medical Sciences (RIMS), Bariatu, Ranchi – 834009, India

Associate Professor, Public Health Dentistry, Rajendra Institute of Medical Sciences (RIMS), Bariatu, Ranchi – 834009, India

Amit Vasant Mahuli

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Mahuli, S., Rai, A., Mahuli, A. et al. Application ChatGPT in conducting systematic reviews and meta-analyses. Br Dent J 235 , 90–92 (2023). https://doi.org/10.1038/s41415-023-6132-y

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Literature Review: Using ChatGPT

• About Literature Reviews
• How to Conduct your Lit Review
• A Few Writing Tips
• A Few Helpful Resources
• A Silly Example
• Using ChatGPT

What is AI, ChatGPT, and large-language modeling?

Artificial intelligence (AI) , in the context of this guide, is the use of datasets to train computer models to emulate human thought processes (IBM, n.d.). It is the emulation itself that may convince information consumers of the supposed "intelligence" of a machine; the more convincing the emulation, the more users are prone to trust the generated information.

ChatGPT is a generative large language model which has gained popularity since late 2021. The name stands for Chat Generative Pre-trained Transformer. GPT models are programmed to mimic the look and feel of engaging in a realistic conversation with another human being; however, bias and inaccuracy remain a considerable risk ( Kocoń, J., 2023).

Large language models (LLMs) are AI models that utilize networked datasets, emulating the neural pathways of the human brain, which assists in the appearance of actual cognition (Birhane et al., 2023).

Birhane, A., Kasirzadeh, A., Leslie, D., & Wachter, S. (2023). Science in the age of large language models. Nature Reviews Physics . https://www.nature.com/articles/s42254-023-00581-4

IBM. (n.d.). What is artificial intelligence (AI)? https://www.ibm.com/topics/artificial-intelligence Retrieved 27 April 2023.

Read more here: Generative AI in the Classroom & Research

What can I use ChatGPT for?

First and most importantly: check with your instructor that using generative AI is allowed for your class! This information should be added in your course syllabus with language indicating whether and to what extent AI can be used on assignments. If you are not sure, ask your instructor first .

From my biased perspective (that of a librarian), here is a brief list of ways you could use ChatGPT (if allowed for your class). This list is not exhaustive of all ideas.

• Keyword generation. Having trouble thinking of other ways to describe a concept? Ask ChatGPT to help!
• Narrowing/broadening your topic. Not getting any results? Getting way too many results? Use ChatGPT to help you brainstorm ways you can adjust your research question so that you can find the most effective sources.
• Setting the right tone. Want to create a patient education document in plain language but not quite sure how to translate the nursing jargon into easy-to-understand statements? ChatGPT can help you think of ways to ensure your tone matches your preferred audience.

What shouldn't I use ChatGPT for?

Because of bias and limitations from human contributions, it is imperative to approach generative AI with caution.

If your instructor has approved the use of ChatGPT or other generative AI in the class, below is a brief list of ways you should NOT use it. Again, this list is not exhaustive.

• Writing your assignments. This may be considered a form of plagiarism as the generated language is not your own original writing. If you use ChatGPT in this way without credit, you may be found in violation of the University's Academic Integrity policies. If you aren't sure, check with your instructor.
• Searching for sources. Do not use ChatGPT in lieu of conducting a literature search through the library resources. ChatGPT has a bad habit of "hallucinating" results; in other words, it will generate answers that sound right but that are not actual sources that exist. ChatGPT is not a search engine or a database.
• Creating accurate citations. ChatGPT is about as good as any other citation generator out there, which is to say that it is hit or miss. ChatGPT may leave off required elements of a citation, invent elements (for instance, generating incorrect DOIs or URLs), and fail to follow citation style formatting requirements. If you use ChatGPT for citation generation, be sure to double- and triple-check every citation thoroughly before submitting your assignment.

Ask a Librarian

Chat with a librarian is available 9-5 Monday-Saturday.

You can also  contact a librarian .

1-888-820-0522 (toll free)

252-744-2230

Or email us:

[email protected]

Provide Feedback on this Guide

Please follow the link below to complete a short survey and provide feedback on this guide.

Research Guide Satisfaction Survey

Should I cite ChatGPT?

Citing ChatGPT and other generative AI will allow your work to remain transparent while also demonstrating ethical considerations. If generative AI is used in research, best practice would dictate to mention the use of this tool in the narrative.

Suggestions for citations may be found below:

• American Psychological Association (APA)
• Chicago Manual of Style
• Modern Language Association (MLA)
• << Previous: A Silly Example
• Last Updated: Jan 12, 2024 1:21 PM
• URL: https://libguides.ecu.edu/lit_reviews

Literature Reviews

• Getting Started
• Choosing a Type of Review
• Developing a Research Question
• Searching the Literature
• Searching Tips
• ChatGPT [beta]
• ChatGPT Resources
• Documenting your Search
• Using Citation Managers
• Concept Mapping
• Writing the Review
• Further Resources

UM's Report on GenerativeAI

The initial report from the U-M Generative Artificial Intelligence Advisory (GAIA) Committee.

—User-friendly Interface that allows faculty, staff and students to engage in chat-based queries and benefit from the expertise of GENAI technology

— U-M GPT, enhances, teaching learning research in collaboration, providing a valuable and equitable resource for the entire university community

— designed to be accessible, including for use with screen readers

— provides access to GPT-3.5 and GPT-4 with no charge

https://chat.openai.com

• The knowledge cutoff for the ChatGPT 3.5 is September 2021 and it has no access to the Internet. Academic users may consider alternatives such as  Semantic Scholar,  Elicit,  Consensus  or other AI-powered tools for doing  real-time  literature reviews.
• Input/ Output length  - ChatGPT-3.5 allows a maximum token limit of 4096 tokens. According to ChatGPT " On average, a token in English is roughly equivalent to 4 bytes or characters. English words are typically around 5 characters long. This means that, very roughly, you could fit around 800 to 1000 English words within 4096 tokens." 
• Notes : (1) According to ChatGPT, the generated responses are non-deterministic by default. So if you run the searches again and get slightly or very different results than the ones listed on this guide, it's likely due to this factor. (2) While ChatGPT or Bing Chat searches offer conversational interaction, they might not be a substitute for the rigor and reliability of traditional academic database searches.  

KEYWORD GENERATION

Write a literature review abstract based on the following keywords: Keywords: Artificial Intelligence, Employment Trends, Skill Development, Future Workforce

Infant death Neonatal mortality  (referring specifically to deaths within the first 28 days of life) Perinatal mortality  (referring to deaths occurring during the period from 22 completed weeks of gestation to 7 completed days after birth) Early childhood mortality  (referring to deaths occurring within the first five years of life) Child mortality  (referring to deaths occurring before the age of 18) [Press the  Regenerate  button to get more.]

• Example -   RELATED WORDS What are the related words of infant mortality?

Neonatal mortality, Post-neonatal mortality, Stillbirths, Low birth weight, Malnutrition, Infectious diseases, Vaccination, Maternal health,  Access to healthcare, Poverty, Social inequality, Sanitation, Hygiene, Water quality, Childbirth complications, Congenital abnormalities, Birth defects, Maternal age, Under-five mortality, Child mortality, Perinatal mortality, Preterm birth, Low birth weight, Sudden infant death syndrome (SIDS), Maternal mortality, Postnatal care, Malnutrition, Immunization, Access to healthcare, Clean water and sanitation, Congenital anomalies, Infant health disparities, Infant mortality rate (IMR), Infant survival.  

(("Infant Death"[Mesh] OR "Sudden Infant Death Syndrome"[Mesh] OR "Infant Mortality"[Mesh] OR "Perinatal Mortality"[Mesh] OR "Neonatal Mortality"[Mesh] OR "Fetal Mortality"[Mesh] OR "Infant Death" OR "Sudden Infant Death Syndrome" OR "Infant Mortality" OR "Perinatal Mortality" OR "Neonatal Mortality" OR "Fetal Mortality") AND ("Risk Factors"[Mesh] OR "Etiology"[Mesh] OR "Prevention and Control"[Mesh] OR "Interventions"[Mesh] OR "Public Health"[Mesh] OR "Health Disparities"[Mesh] OR "Healthcare Disparities"[Mesh] OR "Poverty"[Mesh] OR "Malnutrition"[Mesh] OR "Infection"[Mesh] OR "Congenital Abnormalities"[Mesh] OR "Prematurity"[Mesh] OR "Low Birth Weight"[Mesh] OR "Maternal Education"[Mesh] OR "Maternal Health"[Mesh] OR "Risk Factors" OR "Etiology" OR "Prevention and Control" OR "Interventions" OR "Public Health" OR "Health Disparities" OR "Healthcare Disparities" OR "Poverty" OR "Malnutrition" OR "Infection" OR "Congenital Abnormalities" OR "Prematurity" OR "Low Birth Weight" OR "Maternal Education" OR "Maternal Health"))

Comments and Suggestions: #1 -This search string may not work on all database platforms. For example,  Medline (OVID)  may not be able to run it,  Medline  &  CINAHL (EBSCO)  can run it without any problems while   PubMed  will run it but it will indicate which MeSH terms are not indexed. See PubMed's search  History and Details  under  Advanced . #2 -This is just one possible search string and you may need to adjust it based on your specific research questions and the databases you are using. #3 - It might be easier if you break the task into 3 parts: ask the chatbot give you the synonyms > ask it to give you the thesauri terms > and ask it to combine them.

RESEARCH QUESTION

Increased risk of sudden infant death syndrome (SIDS) Increased risk of premature birth Increased risk of low birth weight Increased risk of respiratory problems in newborns Increased risk of respiratory problems in infants exposed to secondhand smoke Increased risk of developing asthma and other respiratory illnesses later in life for infants exposed to secondhand smoke Please generate a literature review that addresses the research question: 'What are the effects of social media on the mental health of adolescents? [Author's note : If you ask for the specific studies, ChatGPT may generate   non-existent references or false knowledge. To find out   why Large Language Models   hallucinate, check out this WiKi article:  Hallucination (artificial intelligence)   and this blog post -   A Gentle Introduction to Hallucinations in Large Language Models  by Adrian Tam ]

DATABASE RECOMMENDATIONS  

Heath Science  -  Which databases to use to find articles on the EFFECTS OF MATERNAL SMOKING ON INFANT DEATH? PubMed:  This is a database of biomedical literature from the National Library of Medicine. It includes articles from medical journals and other sources on a wide range of health-related topics. Embase:  This is a database of biomedical literature that covers more international and pharmaceutical content than PubMed. It includes articles from medical journals and other sources on a wide range of health-related topics. Cochrane Library : This is a collection of databases that provides systematic reviews and meta-analyses of healthcare interventions, including interventions related to maternal smoking and infant death. Scopus:  This is a multidisciplinary database that covers research from a wide range of fields, including health sciences. It includes articles from scientific journals, books, and conference proceedings. Web of Science:  This is a database that covers research from a wide range of fields, including health sciences. It includes articles from scientific journals, books, and conference proceedings. CINAHL:  This is a database of nursing and allied health literature, including articles on maternal smoking and infant death. [Note: The response above was copied and pasted directly from ChatGPT. No editing was added.] Education  --  I am doing a  meta-analysis  on k-12 STEM education. What databases should I use? ERIC : This is a database of education research and information, including articles from journals, reports, and conference papers. It is a commonly used database for educational research. Education Source : This is a comprehensive database of education research and information, including articles from journals, books, and conference papers. Web of Science:  This is a multidisciplinary database that covers research from a wide range of fields, including education. It includes articles from scientific journals, books, and conference proceedings. Scopus:  This is another multidisciplinary database that covers research from a wide range of fields, including education. It includes articles from scientific journals, books, and conference proceedings. PsycINFO:  This is a database of psychology research, including articles from journals, books, and dissertations. It can be useful for research on STEM education that includes psychological factors. Cochrane Library : This is a collection of databases that provides systematic reviews and meta-analyses of healthcare interventions including interventions related to education.

Example:   ACT-AS-AN-EXPERT PROMPT Here's an alternative way to consolidate all the questions into a single consultation by using this popular Act-As-An-Expert prompt, aka, system message prompt:  I am going to conduct a systematic review on games and mathematics related to K-12 education  I want you to act as a systematic review expert. I will ask you some questions related to my research topic and you advise me on how to do it. 

GREY LITERATURE  

Please show me all the resources that offer grey literature for conducting research in the field of education     ERIC (Education Resources Information Center): https://eric.ed.gov/     OpenGrey: http://www.opengrey.eu/     British Education Index: https://www.ebscohost.com/academic/british-education-index     WorldCat: https://www.worldcat.org/     ProQuest Dissertations & Theses Global: https://www.proquest.com/products-services/pqdtglobal.html     EThOS (Electronic Theses Online Service): https://ethos.bl.uk/     Institutional Repositories of universities and academic institutions (search for specific institution repositories)     American Educational Research Association (AERA): https://www.aera.net/     National Education Association (NEA): https://www.nea.org/     Association for Supervision and Curriculum Development (ASCD): http://www.ascd.org/     RAND Corporation: https://www.rand.org/     National Center for Education Research (NCER): https://ies.ed.gov/ncer/     National Center for Education Statistics (NCES): https://nces.ed.gov/     European Educational Research Association (EERA): https://www.eera-ecer.de/     UNESCO International Institute for Educational Planning (IIEP): http://www.iiep.unesco.org/     Organization for Economic Cooperation and Development (OECD): https://www.oecd.org/education/     Education Development Center (EDC): https://www.edc.org/     National Institute for Educational Policy Research (NIER) - Japan: https://www.nier.go.jp/     Australian Council for Educational Research (ACER): https://www.acer.org/     Canadian Education Association (CEA): https://www.cea-ace.ca/ My topic is about stem education. Which grey literature databases should I use?    STEM Education Research Centre (SERC) Grey Literature Database    National STEM Education Research Repository (NSERR)    National Science Digital Library (NSDL)    STEM Education Resource Center (SERC) GrayLit Network    STEM Education Grey Literature Library

MORE RESOURCES

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• Last Updated: Feb 29, 2024 10:31 AM
• URL: https://guides.lib.umich.edu/litreview

How to Use ChatGPT For Literature Review – Ultimate Guide

Writing literature review with ai.

Literature reviews are the bedrock of academic research, offering a comprehensive view of existing knowledge in a particular field.

The ability to harness the power of AI to assist in this crucial endeavor holds immense significance for scholars, saving time and effort while improving the quality and depth of their reviews.

The article is structured to walk you through the practical steps of using ChatGPT for literature reviews . We will start by understanding the fundamentals of literature reviews and tips and prompts for a more efficient research process.

Steps involved in writing a literature review

Traditional literature review writing often involves substantial time and effort, from searching for relevant papers and synthesizing information to ensuring proper citations. Literature review is conducted in following steps.

• Define your research question or topic
• Conduct a comprehensive literature search
• Review and select sources
• Summarize and categorize the literature
• Analyze and synthesize the literature
• Develop a structure for your literature review
• Write the literature review
• Revise and proofread
• Write a conclusion
• Citations and references

We will dive in how ChatGPT can helps us in each of these steps.

Step-by-Step Guide for Literature Review Writing with ChatGPT

Defining the scope and objectives.

ChatGPT can help you clarify and refine your research question or objective by engaging in a conversation to discuss your topic. It can suggest specific subtopics, keywords, or concepts that might be relevant to your literature review.

Engaging in a Conversation: Begin a conversation with ChatGPT to discuss your research on climate change. This can help you narrow down the scope of your review.

“I’m conducting a literature review on climate change. Can we discuss potential research questions and objectives to make it more specific?”

Suggesting Specific Subtopics: Ask ChatGPT for suggestions on subtopics related to climate change that you can include in your literature review.

“What are some specific subtopics or aspects of climate change that are currently of interest? I want to make sure my literature review covers key areas.”

Exploring Emerging Concepts: Engage with ChatGPT to explore emerging concepts or trends in climate change research that could be included in your objectives.

“Can you highlight any emerging concepts or areas of study within climate change that I should consider incorporating into my literature review?”

Refining Research Objectives: Use ChatGPT to refine your research objectives by asking for clarification or more specific details.

“My initial objective is to study the impact of climate change on agriculture. How can I make this objective more specific and focused?”

Alternative Perspectives: Request ChatGPT’s input on alternative perspectives or viewpoints within climate change research to broaden your scope.

“Are there alternative perspectives on climate change, perhaps from economic, social, or political viewpoints, that I should incorporate into my literature review?”

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Ethical Considerations For Using ChatGPT for Literature Review

AI tools like ChatGPT can be incredibly helpful, but they also come with ethical considerations. Researchers must ensure that the use of AI-generated content aligns with ethical standards. This involves:

• Authorship and Attribution: Clearly attribute AI-generated content to the tool used e.g., Generated with ChatGPT. Avoid presenting AI-generated content as if it were written by a human author.
• Plagiarism and Originality: Ensure that AI-generated content does not inadvertently lead to plagiarism. Verify the originality of the generated text and cite any sources or inspirations appropriately.
• Privacy and Data Security: Respect privacy concerns related to data used with AI tools. Protect sensitive information and follow data protection regulations when collecting or using data.

Best Practices for Using ChatGPT for Literature Review

Human researchers play a central role in the literature review process. AI can assist by accelerating content creation, but it can’t replace the depth of human expertise.

Researchers should leverage AI-generated content as a tool for enhancing their work, not as a substitute for their insights and judgment. Collaborative approaches, where humans work in tandem with AI, offer the best of both worlds.

You can Fine-Tune your ChatGPT experience by keeping following in mind.

• Edit and Refine: Review AI-generated content for clarity, accuracy, and relevance. Edit and rephrase text to align with the overall review’s tone and style.
• Provide Context: Add contextual information or expert insights that AI may not capture.
• Create a Well-Structured Prompt: Craft a detailed and specific prompt for ChatGPT. Clearly communicate the topic, subtopics, and context of your literature review. The more context you give it the better the output. So don’t hesitate and play while formulating your prompts.
• Fine-Tuning: If you are using ChatGPT – 4, then you can fine-tune the AI model. This involves training the model on specific datasets to align it with your research area, improving the quality of generated content.
• Review and Feedback: Regularly review the output and provide feedback to the AI model. This iterative process can help improve the accuracy and relevance of generated content over time.
• Interact with ChatGPT: Engage in a conversational dialogue with ChatGPT. Start with broad questions to gather initial insights and gradually delve into specific areas of interest. Be prepared to ask follow-up questions for deeper analysis.

Related: Best AI Tools For Writing Literature Review

Joe Daniels

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How to Use ChatGPT to Write a Literature Review With Prompts

Are you struggling with writing a literature review for your research paper?

Do you find it challenging to organize your thoughts and present a cohesive and engaging review?

Look no further, as this step-by-step guide will walk you through how to use ChatGPT to write a literature review effortlessly and effectively.

With the assistance of ChatGPT, you can enhance your writing process and create a well-structured literature review that will impress your readers and save your time in research.

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Table of Contents

Step 1: Familiarize Yourself with ChatGPT

To get started, visit the official website of ChatGPT at chat.openai.com

Take a moment to explore the features and functionalities offered by this powerful writing assistant.

You’ll find a user-friendly interface that allows you to interact with the model and generate high-quality content effortlessly.

Step 2: Understanding Prompts

Prompts act as a guiding framework for ChatGPT , providing it with the necessary context to generate accurate and relevant content.

When writing a literature review, you can leverage prompts to direct the AI’s attention towards specific areas or topics you want to cover.

This ensures that the generated text aligns with your intended purpose.

Step 3: Crafting an Effective Prompt

To write a compelling literature review, it’s crucial to formulate an effective prompt.

A well-crafted prompt should be clear, concise, and include specific instructions to guide the AI model.

Craft a prompt according to the requirements of your study. Provide detailed information about what you want to be included in your literature review. You need to give detailed information about the variables that you have used in the study, the relationships between them, and the research hypothesis .

Example: Prompt # 1

Let’s consider an example of a prompt for a literature review on “The Impact of Artificial Intelligence in Healthcare”:

Example: Prompt # 2

Write a literature review of a research paper. Topic: Effects on Stress on digital hoarding behavior of an Employee. The mediating role of procrastination and moderating role of work overload. Variab les: Stress, digital hoarding, procrastination, and work overload. Independent Variable: Stress, Dependent Variable: digital hoarding, Mediator: procrastination, Moderator: work overload. Provide separate definition of each variable. After that explain the relationships between variables. Research Hypothesis: There are 3 hypotheses. H1: Stress has positive influence on digital hoarding. H2: Procrastination is mediating the relationship of stress and digital hording. H3 : Workload moderates the relationship positively of stress and procrastination in an employee. Time_Period: 2015-2023 Include the authors and references in the literature review. Also Include citations. The references should be provided at the end.

By providing a detailed prompt like the one above, you ensure that ChatGPT understands the specific requirements of your literature review, enabling it to generate relevant and insightful content.

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Step 4: Interacting with ChatGPT

Once you have a well-crafted prompt, it’s time to interact with ChatGPT and generate your literature review.

On the website, you’ll find a text input field where you can enter your prompt. Simply copy and paste the prompt we discussed in the previous step into the input field and press the “Generate” button.

ChatGPT will then process the prompt and generate a response in real-time. The generated content will be based on the data it has been trained on and the context provided by the prompt.

Output provided by the ChatGPT

Literature Review

Title: Effects of Stress on Digital Hoarding Behavior of an Employee: The Mediating Role of Procrastination and Moderating Role of Work Overload

Introduction: The rapid advancement of technology and the increasing reliance on digital platforms have transformed the way individuals manage and organize their information. However, this digital age has also given rise to new behavioral patterns, such as digital hoarding, which refers to the excessive accumulation and difficulty in discarding digital files and data. Digital hoarding can have significant consequences for individuals, particularly in a work setting, where it can lead to decreased productivity, increased stress, and impaired decision-making. This literature review aims to explore the effects of stress on digital hoarding behavior among employees, while considering the mediating role of procrastination and the moderating role of work overload.

Definition of Variables:

• Stress: Stress is a psychological and physiological response to external pressures or demands, characterized by feelings of tension, anxiety, and unease. In the context of this research, stress refers to the emotional and cognitive strain experienced by employees in their work environment, which may arise from factors such as excessive workload, time pressure, or interpersonal conflicts.
• Digital Hoarding: Digital hoarding is a behavioral tendency characterized by the excessive accumulation and reluctance to delete or organize digital files, documents, emails, or other forms of electronic data. It represents a disorganized and cluttered digital environment, resulting in difficulties in locating and managing information effectively.
• Procrastination: Procrastination refers to the act of delaying or postponing tasks or activities that need to be accomplished. In the context of this research, procrastination is viewed as a mediator variable, playing a role in the relationship between stress and digital hoarding. It represents a cognitive and behavioral tendency to engage in non-essential activities or tasks that provide temporary relief from stress, leading to the neglect of important tasks, including digital file management.
• Work Overload: Work overload refers to a state in which an individual is faced with an excessive amount of work or tasks that exceed their available resources, including time and energy. As a moderating variable in this study, work overload is expected to influence the relationship between stress and procrastination. High levels of work overload may intensify the impact of stress on procrastination tendencies, exacerbating digital hoarding behavior.

Relationships between Variables: The proposed research hypotheses aim to investigate the relationships among the variables in the context of stress, digital hoarding, procrastination, and work overload.

Hypothesis 1 (H1): Stress has a positive influence on digital hoarding. This hypothesis suggests that higher levels of stress experienced by employees will be associated with increased digital hoarding behavior. Previous studies (Smith et al., 2017; Johnson & Brown, 2019) have indicated a positive relationship between stress and hoarding tendencies, suggesting that individuals may resort to hoarding behaviors as a coping mechanism to manage stress.

Hypothesis 2 (H2): Procrastination mediates the relationship between stress and digital hoarding. This hypothesis posits that procrastination acts as a mediator, partially explaining the relationship between stress and digital hoarding behavior. Research by Roberts and Zomer (2016) has highlighted the role of procrastination in information overload and disorganization, which aligns with the concept of digital hoarding.

Hypothesis 3 (H3): Work overload moderates the relationship between stress and procrastination. This hypothesis suggests that work overload enhances the positive relationship between stress and procrastination. The presence of high workloads can intensify the impact of stress on procrastination tendencies, leading to greater digital hoarding behavior. This is supported by studies conducted by Miller and Brown (2018) and Thompson et al. (2021), which have demonstrated the influence of work overload on procrastination behavior.

Conclusion: This literature review has provided an overview of the effects of stress on digital hoarding behavior among employees, considering the mediating role of procrastination and the moderating role of work overload. The identified research hypotheses (H1, H2, H3) will serve as a foundation for further empirical investigation to deepen our understanding of the complex relationships between these variables. By examining the impact of stress, procrastination, and work overload on digital hoarding behavior, organizations can develop strategies to promote healthier digital practices and enhance employee productivity.

References: Johnson, A. M., & Brown, T. A. (2019). Examining the relationship between stress, anxiety, and hoarding: A systematic review and meta-analysis. Journal of Obsessive-Compulsive and Related Disorders, 23, 100468.

Miller, R. B., & Brown, T. A. (2018). The relationship between work overload and mental health symptoms in firefighters: The moderating role of perceived supervisor support. Journal of Workplace Behavioral Health, 33(3), 213-229.

Roberts, L. D., & Zomer, A. C. (2016). The procrastination–information systems quality link: The mediating role of self-efficacy. Computers in Human Behavior, 65, 167-176.

Smith, C. G., et al. (2017). The relationship between hoarding symptomatology, compulsive buying, and obsessive-compulsive disorder. International Journal of Cognitive Therapy, 10(4), 332-348.

Thompson, M. A., et al. (2021). Work overload and turnover intentions: The mediating role of procrastination and the moderating role of neuroticism. Journal of Vocational Behavior, 128, 103603.

Step 5: Refining and Polishing

After ChatGPT generates the initial response, it’s time to refine and polish the content. Review the output carefully, ensuring that it aligns with the objectives of your literature review.

You can ask ChatGPT to provide much more detailed explanation on the variable which evr you would like.

Its good to provide ChatGPT detailed prompt to get better results. If you provide much detailed prompt, ChatGPT would write literature review according to your needs.

Note: The literature review that you would get is plagiarism-free. This is another benefit of using chatgpt to write literature review.

As an AI-powered writing assistant, ChatGPT provides a starting point for your literature review.

It can help you brainstorm ideas, explore different perspectives, and save time on the initial drafting process. However, it’s essential to remember that human judgment and expertise are still vital in crafting a comprehensive and well-rounded literature review.

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Step 6: Iterative Process

Writing a literature review is often an iterative process. You may need to go through multiple rounds of generating and refining the content until you achieve the desired outcome. Take advantage of ChatGPT’s capabilities to experiment with different prompts , explore diverse angles, and refine your review further.

By leveraging the power of ChatGPT and following this step-by-step guide , you can streamline your literature review writing process and enhance the quality of your work.

ChatGPT is a valuable tool for writing literature reviews. By following the steps outlined in this guide , you can effectively utilize ChatGPT to generate high-quality content for your literature review.

Remember, though, that while ChatGPT is a powerful AI model, it’s essential to review and refine the generated content to ensure it aligns with your specific requirements.

Other articles

Please read through some of our other articles with examples and explanations if you’d like to learn more.

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Using ChatGPT to conduct a literature review

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• 1 Department of Humanities, Czech University of Life Sciences Prague; Prague, Czech Republic.
• PMID: 36879536
• DOI: 10.1080/08989621.2023.2185514

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Introduction

Step 1: title and title page creation by chatgpt, step 2: abstract/summary creation by chatgpt, step 3: introduction creation by chatgpt, step 4: can chatgpt create a literature review, step 5: can chatgpt assist in brainstorming the methodology of studies, step 6: do not use chatgpt for fabricating patient data or results, step 7: discussion and conclusions, step 8: references, disadvantages of using chatgpt in research, acknowledgment., chatgpt for research and publication: a step-by-step guide.

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Som S. Biswas; ChatGPT for Research and Publication: A Step-by-Step Guide. The Journal of Pediatric Pharmacology and Therapeutics 1 October 2023; 28 (6): 576–584. doi: https://doi.org/10.5863/1551-6776-28.6.576

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This commentary provides a concise step-by-step guide on using ChatGPT, an advanced natural language processing (NLP) model, for research and publication purposes. The guide assesses crucial aspects, including data preprocessing, fine-tuning techniques, prompt engineering, and ethical considerations. By addressing challenges related to biases, interpretability, and plagiarism, this commentary offers insights and recommendations for the responsible and ethical use of ChatGPT. The guide empowers researchers to ethically integrate ChatGPT effectively into their workflows, enhancing productivity and improving the quality of their scientific publications. Through clear instructions and guidelines, researchers can tap into the transformative potential of ChatGPT, driving scientific progress in a language-driven world.

In recent years, the field of NLP has witnessed remarkable advancements, bringing us closer to the realm of humanlike language generation. Among these advancements, ChatGPT, based on the groundbreaking GPT-3.5 architecture developed by OpenAI, stands as an impressive language model capable of generating coherent and contextually relevant text responses. With its ability to understand and respond to user inputs, ChatGPT has opened up new possibilities for various applications, including research and publication. 1 – 3  

The traditional process of conducting research and publishing scientific papers has been significantly transformed by the emergence of ChatGPT. Researchers and authors can now leverage the power of this sophisticated language model to streamline and enhance their workflow, leading to improved efficiency and higher-quality publications. However, using ChatGPT effectively in the research and publication domain requires a comprehensive understanding of its capabilities, limitations, and best practices.

In this commentary I offer my thoughts for a step-by-step guide for researchers and authors who seek to harness the potential of ChatGPT in their research endeavors and publication efforts. By exploring various aspects, such as data preprocessing, fine-tuning techniques, prompt engineering, and ethical considerations, this guide will equip researchers with the necessary knowledge to harness the full potential of ChatGPT in their scientific pursuits. Moreover, this commentary will delve into the challenges associated with using ChatGPT for research and publication, including biases, interpretability, and concerns regarding plagiarism. By addressing these challenges directly, I aim to provide researchers with valuable insights and recommendations to navigate these important issues and ensure the responsible and ethical use of ChatGPT as a research tool. 4  

The significance of my guide lies in its potential to bridge the gap between the rapid progress of language models like ChatGPT and the research and publication process. By elucidating the intricacies of integrating ChatGPT into scientific workflows, researchers will be empowered to leverage this advanced technology effectively, thereby enhancing the overall quality and impact of their research output. 5   In the following sections, I present a comprehensive overview of the steps involved in using ChatGPT for research and publication.

ChatGPT can be a valuable tool in generating titles for research papers. Its ability to understand and generate humanlike text allows it to analyze and synthesize information provided by researchers to craft concise and impactful titles. By leveraging its vast knowledge base and language capabilities, ChatGPT can assist in capturing the essence of a research paper, conveying the main focus and contributions succinctly. Researchers can collaborate with ChatGPT by providing relevant information, such as the subject, objectives, methodology, and key findings of their study. ChatGPT can then generate multiple title options, offering different perspectives and angles that researchers can consider. This collaboration with ChatGPT can save time and stimulate creativity, helping researchers refine their titles to accurately represent their work and engage potential readers. ChatGPT can then be used to create the entire title page and then can also customize based on each journal’s recommendations.

For example:

Thus, we see that ChatGPT can write an entire title page based on just the title and author details. We notice that ChatGPT has created an email address that is incorrect and needs manual rectification. However, the rest of the title page, including keywords and the running title, is appropriate.

ChatGPT can assist in condensing complex information into a clear and engaging abstract/summary, helping researchers communicate the significance and novelty of their research to a wider audience. By leveraging the language proficiency of ChatGPT, researchers can save time and effort in crafting abstracts while ensuring that the key aspects of their study are accurately represented.

In this example, we demonstrate that ChatGPT can create an entire abstract just by using the title alone. However, the more information researchers provide (preferably the entire body of the paper should be entered into chatGPT), the more accurate the abstract becomes.

By collaborating with ChatGPT, researchers can provide key information, such as the background, significance, and objectives of their study. ChatGPT can then generate a well-structured introduction that sets the context, highlights the relevance of the research, and outlines the paper’s objectives. Also, ChatGPT can be used to generate keywords and generate an abbreviations list from the article by using prompts. However, it is important to note that the generated introduction should be reviewed, customized, and refined by the researchers to align with their specific study and writing style.

In the example below, we note that ChatGPT has not only created an introduction but also the objectives of the study, which can then be edited by the human author.

Yes, ChatGPT can help generate a literature review, but it is important to note that it may not have access to the most up-to-date research articles and studies due to copyrights and limited access to some journals. Additionally, a literature review typically requires a comprehensive analysis of multiple sources, so the generated response may not cover all relevant studies. Nonetheless, it can assist in providing a basic literature review on a given topic, which will need human authors to add to and edit it.

As we can see, ChatGPT is not as good at giving a detailed review of the literature as it is at summarizing contents or creating an introduction. Thus, its use is limited, if there is any at all, in this section of the paper.

ChatGPT can be a helpful tool in conceptualizing the methodology for research papers. By engaging in a conversation with ChatGPT, researchers can discuss their research objectives, study design, data collection methods, and data analysis techniques. ChatGPT’s natural language understanding allows it to provide suggestions and insights based on its knowledge base and understanding of research methodologies. Although ChatGPT can assist in generating ideas and providing guidance, it is important for researchers to critically evaluate and adapt the suggestions to align with their specific research goals and requirements.

Although the methodology is something that is unique to each paper and needs a human researcher to conceptualize it, we see in this example that ChatGPT can assist by giving ideas and examples based on the input of the title by the human researcher. Thus, ChatGPT can be part of brainstorming sessions when conceptualizing a study, although this section needs significant editing by a human, unlike the introduction or summary.

This section of the paper must be authentic, and ChatGPT has a limited role, if any, because patient data have to be original. ChatGPT also currently cannot analyze clinical data compared with statistical software, like SPSS Statistics and Base SAS. However, Microsoft appears to be developing an Excel copilot that uses AI to create graphs and plots, and its use needs to be evaluated once it is released to the public. 6  

This section of the paper can be generated by ChatGPT if all results are pasted as input; however, this section also needs manual editing because inaccuracies are common. By discussing their research with ChatGPT, researchers can also identify potential limitations, discuss the broader implications of their findings, and propose future research directions. Although ChatGPT can generate suggestions and facilitate the thought process, it is important for researchers to critically evaluate the information provided and ensure that the Discussion and Conclusion sections align with the specific research objectives and findings of their study. Ultimately, ChatGPT can serve as a supportive tool in developing a comprehensive and well-rounded discussion and conclusion for research papers.

As per the author's experience, although ChatGPT is capable of creating references for an article, most of them are incorrect. So, using ChatGPT for creating references is not recommended. However, ChatGPT can convert references into any journaling style if the references are entered into ChatGPT and it is asked to convert them into a specific style.

Lack of domain expertise: ChatGPT is a general-purpose language model trained on a diverse range of Internet text, which means it may lack the specific domain expertise required for certain research topics. It may generate responses that are not accurate or well informed in specialized fields, potentially leading to incorrect or misleading information in research papers.

Inconsistency and variability: ChatGPT’s responses can be inconsistent and vary depending on the input phrasing or prompt formulation. This can lead to unpredictability in generating reliable and coherent content, requiring additional effort to refine and ensure accuracy in research papers.

Limited control over output: Although researchers can guide the model’s responses through prompts, ChatGPT’s generation process is still primarily autonomous. Researchers have limited control over the precise content and structure of the generated text, which may require careful editing and review to align with specific research goals, standards, and above all, accuracy.

Biases and ethical considerations: Language models like ChatGPT can inadvertently reflect biases present in the training data. These biases may perpetuate existing societal or cultural biases in research papers, potentially leading to unfair or discriminatory content. The careful examination and mitigation of biases are crucial to ensure ethical and unbiased research output. 7  

Lack of interpretability: ChatGPT’s decision-making process is complex and not easily interpretable. Researchers may struggle to understand the reasoning behind the model’s generated responses, making it challenging to assess the reliability and credibility of the information provided. Ensuring transparency and interpretability in research papers becomes more challenging with such models. ChatGPT should cite the sources for its data, like Google Bard does.

Plagiarism concerns: Because of its vast training data from the Internet, ChatGPT may inadvertently generate text that resembles or replicates existing content without proper citation or attribution. Researchers must be cautious about unintentional plagiarism and ensure that generated content is appropriately referenced and original. So, all ChatGPt-generated articles need to be double checked using antiplagiarism software.

In this commentary I have provided a comprehensive step-by-step guide for researchers and authors on harnessing the power of ChatGPT in the realm of research and publication. By exploring crucial aspects, such as data preprocessing, fine-tuning techniques, prompt engineering, and ethical considerations, the guide equips researchers with the necessary knowledge and tools to effectively integrate ChatGPT into their scientific workflows. 8  

Through clear instructions, examples, and guidelines, researchers can navigate the complexities of using ChatGPT, leading to enhanced productivity and improved quality in their research output. Moreover, I address the challenges associated with biases, interpretability, and plagiarism concerns, ensuring the responsible and ethical usage of ChatGPT as a research tool.

The significance of this research lies in its ability to bridge the gap between the rapid advancements in language models like ChatGPT and the research and publication process. By empowering researchers with the skills to leverage ChatGPT effectively, this guide fosters innovation, drives scientific progress, and opens up new possibilities for transformative contributions to various fields. 9  

As language-driven technologies continue to evolve, researchers must stay abreast of the latest advancements and best practices. The step-by-step guide presented in this commentary serves as a valuable resource, providing researchers with the knowledge and guidance necessary to maximize the potential of ChatGPT in their research endeavors. By embracing the capabilities of ChatGPT and ensuring its responsible and ethical use, researchers can revolutionize the way research and publications are conducted. With ChatGPT as a powerful tool in their arsenal, researchers are poised to make significant strides in their respective fields, pushing the boundaries of scientific knowledge and ushering in a new era of language-driven innovation. 10  

However, and to reiterate, I cannot overemphasize that ChatGPT has, at present, many disadvantages, including inconsistencies, bias, and plagiarism concerns, that must be addressed by the human author before the article is submitted for publication to a journal, as well as prior to publication, because the human author(s) is solely responsible for their research integrity and accurate reporting.

In conclusion, I have attempted to provide researchers with a comprehensive understanding of how to effectively leverage ChatGPT for research and publication purposes. It has also highlighted the problems and precautions that the human author(s) must take before publishing ChatGPT-generated content. By embracing this step-by-step guide, researchers can unlock the full potential of ChatGPT, driving scientific progress and shaping the future of research and publications.

Please use ChatGPT only if allowed by your institution, research lab, and the journal in question.

Please acknowledge ChatGPT within your manuscript/published paper wherever you are using it.

Please do not fabricate or plagiarize data. ChatGPT can be used only for summarizing texts, improving English writeups, and brainstorming ideas, and not for creating fabricated research raw data.

The author acknowledges that this article was partially generated by ChatGPT (powered by OpenAI’s language model, GPT-3; http://openai.com ). The editing was performed by the human author.

Disclosure. The author declare no conflicts or financial interest in any product or service mentioned in the manuscript, including grants, equipment, medications, employment, gifts, and honoraria.

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Prompting Is the New Programming

Table of Contents ___________________________________________ - What is a prompt - What is Prompt Engineering - Notes about ChatGPT3.5 and Bing Chat - Examples of Prompts for Academic Research - How to Write Prompts for Image Generation ___________________________________________

A prompt is a set of instructions used to ask a language model to perform a task. Tasks can take many forms including text generation, image creation, translation, summarizing, writing and so on. A prompt might consist of a few words, a single sentence or even extended paragraphs. Prompt Engineering involves crafting instructional prompts for AI in order to produce the most useful outcomes. It usually comprises two primary elements: the system prompt, which establishes the static context through role specification, and the dynamic context , which provides additional context tailored to a specific task. System Prompt: Static Context -- is the initial context given to a language model. It frames the overall topic and the goal of the task. It serves as the starting point. It usually explains the roles of both AI and the User in the task. With a given role the AI model knows whether it should act as a knowledgeable assistant or any other specific character.

User : I am a college student preparing for a debate on artificial intelligence's impacts on employment. Please provide a step-by-step guide to help me get started.     AI : Certainly. ...              Or try this one: User: I am preparing a college debate on AI's impacts on job market. My argument is that AI will lead to job loss. Please provide an outline down to second-level headings .   AI: Certainly. ...  

Query: Specification   -- is the prompt that further guides the AI's response by providing specific queries or additional context, scope and boundaries or other details related to the initial system prompt. They can refine or redirect the focus of the conversation.

User : Please find some academic papers on the various ways that AI is affecting the job market. Compile a list of primary opposing viewpoints: AI leads to job reduction, and AI has the potential to generate new employment opportunities.

AI: Of course! . ......

Example: Illustration -- Providing example inputs can help the model understand the desired patterns or formats for its responses. Example inputs may include the use of examples, demonstrations of the expected behavior, a set of relevant keywords or descriptors, the abstract of an interested article, a reference text and so on.

User : I found this paper very helpful. Reference: AI Impact On The Labor Force at Https://arxiv.org/abs/2302.xxxx. Please find a few more studies like this one.

AI: Sure. ......

Outcome: Output Indicator -- Provide any specific expectations or parameters for the response such as the depth of analysis, level of detail, number of words in the output or other requirements.

User : Assist me to finalize the gathered data. Divide them into four parts: Opening Statement, Supporting Arguments, Possible Counterarguments, and Conclusion restating our main points and emphasizing why our team's stance is more convincing.

AI: Absolutely!. ......

Testing, Fine Tuning and Effectiveness

The process of prompt creation often involves lots of testing and refining of prompts, and the effectiveness of prompt techniques may differ depending on the particular task, language model, plugins / extensions/ sources employed and the user's prompt engineering experience.

______________________________________________________________________________________ Facts about ChatGPT

• Word limits of ChatGPT3.5. Maximum input and output length is 4096 tokens, roughly 800 words. See the Glossary page of this guide. Important, if you receive truncated responses or not meaningful replies, it might be due to token constraints.
• When crafting a prompt, use plain English and be specific about what you want the tool to do.
• Providing background information , context, or examples can be helpful.
• Divide a complex concept into smaller prompts.
• Ask ChatGPT to ACT AS AN EXPERT to explain a complex concept step by step.
• See the zero-shot, one-shot and few-shot prompting technique s and examples at the bottom of this guide.
• If you want to change to a totally unrelated topic, click on NEW CHAT . But if you do want to keep the previous conversations together in one chat, you could use a prompt like " Ignore the previous conversations. Let me ask you a new question...."
• Use Bing Cha t if current contents are required. ChatGPT 3.5 is not connected to the real-time contents in the Internet.
• In July 2023, ChatGPT 3.5 rolled out a new capability: Custom Instruction . This allows users to change settings to tailor ChatGPT's replies according to their preference, be it formal or informal tone, desired response length, or maintaining neutrality as per their choice and so on. https://openai.com/blog/custom-instructions-for-chatgpt .
• See the Plugins / Extensions page for how to perform a combined search using Google , Google Scholar and ChatGPT . In this search, ChatGPT prompt crafting is not needed. Just do a keyword search in Google and let the Chrome extensions do the rest.

______________________________________________________________________________________  

Typical Categories of Prompts Utilized in Generative AI Tools ACTION PROMPTS  - To perform a specific task

• Can you write / explain / summarize / provide / analyze  / compose / re-write  /translate ...
• Give me a table summarizing some of the key differences between Web of Science and Scopus.
• Rephrase this sentence: .....  / Expand the idea based on the following descriptors .....

WH PROMPTS - (what, when, where, who, which, whose, why, how...)

• What are the leading causes /factors / impacts / definitions / benefits of /challenges, barriers, issues with /.....
• What would be a good image to use for my talk about plagiarism?
• How to search / cite / code / convert (the data into a table) ...

PROMPTS TO SET A SPECIFIC CONTEXT - Generating responses to specific situations or hypothetical scenarios.

• Summarize the plot of ... in one short paragraph.
• Create a list of five ChatGPT features that can be used to promote ...
• I will have a debate about the use of standardized testing in schools. Can you help me find some arguments in favor of this practice, as well as some counterarguments?
• I am doing a literature review on the use of AI in education: "We aim to explore the existing body of research on the use of AI in education. From adaptive learning platforms to AI-powered tutoring systems. Our review seeks to examine the effectiveness of AI-driven educational interventions, identifying challenges, and uncovering the implications for educators and learners alike."  [Note: this context specifies the topic, the scope, the types of technologies and outlines the research areas.]

IMAGE GENERATION

• Create some images of college students in science labs . See one example .
• Launch Microsoft Edge > Bing > Chat > then enter your prompts.
• How to credit this image? See Bing's recommendations: " The images I generate are original creations and do not require citation. However, if you would like to give credit, you can simply mention that the image was generated by Bing."

PROMPTS THAT POSE MULTIPLE QUERIES

Can you tell me about the current state of genetic engineering research? What are some recent breakthroughs, and what ethical considerations have been raised in relation to these advancements?

ACT-AS-AN-EXPERT PROMPT          - Specify a role for ChatGPT to take a question. This is also known as system message prompting.

• EXAMPLE - I am going to conduct a systematic review on games and mathematics related to K-12 education. I want you to act as a systematic review expert . I will ask you some questions and you advise me on how to do each in detail. [ Note: You may ask one question at a time.]

My first question is "which databases should I use?"  My second question is "what are the relevant subject terms, descriptors and key words?" My third question is "how to do data extraction?" ............ Please note that the above prompts are merely for illustrative purposes. Actual questions may contain more specific instructions. As an example, for the first question , Could you provide guidance on how to identify relevant publications? Specifically, can you furnish a list of the primary databases and grey literature sources related to my topic? See other act-as-an-expert examples on Awesome ChatGPT Prompts at https://github.com/f/awesome-chatgpt-prompts

STYLE PROMPTS - Experimenting with different writing styles or tones.

• Generate a persuasive argument in an authoritative tone , convincing readers to ...
• Write a social media post in a humorous style about...

PROMPT THAT INCORPORATES A QUOTATION

Use quotation marks "...." or  ">" symbol to indicate a direct quote. You could also use colon mark (:) or hyphen mark (-) for a short quotation.

RELATIONSHIP PROMPTS

• Fish oil and depression...
• Other words like correlation, comparison, pros & cons, differentiate, differences, similarities, vs, the effects of A on B...

DIVIDING A COMPLEX CONCEPT INTO SUBSET PROMPTS

Rather than asking for the complete History of the American Civil War, you could consider creating separate paragraph prompts for different aspects such as the causes of the war, the timeline, the battles and casualties, the ending and resolution, and so on.

FINDING SIMILAR ARTICLES OR PAGES

Find similar articles like this one - [then paste in the abstract ] Note - Use Bing chat to find papers since real-time web contents are required.

SUMMARIZE / SYNTHESIZE + REFERENCE TEXT

• Use Bing chat for this task.
• Use a basic prompt like " Please summarize . ..." or add a REFERENCE TEXT that provides the necessary information about what you want it to focus or how the summary or resolution should look like. The reference could be a quote, an excerpt, a partial sentence, a conversation, an abstract, a code snippet and so on.
• Formula: Specify a role > assign a task > provide a reference text.

You are an expert researcher, given the following article, please discuss its key findings. Reference: How Large Language Models are Transforming Machine-Paraphrased Plagiarism at https://arxiv.org/abs/2210.03568

You are a programmer troubleshooting code issues. Given the following code snippet, provide a solution for fixing its code errors. Reference: [Enter the codes] . Please read this article and summarize it f or me - "Who Should I Trust: AI or Myself? Leveraging Human and AI Correctness Likelihood to Promote Appropriate Trust in AI-Assisted Decision-Making" and then find 5 similar studies and please also summarize each for me.

See more examples under Bing Chat on the main page.

PRELOADED PROMPTS

Certain tools may already include preloaded prompts. For instance, the Chrome ChatGPT Sidebar extension presents the following prompt options for users to select such as Summarize, Grammar, Explain, { } Explain Codes, Rewrite, and Translate. You could also add your own prompts on the template provided.

ZERO SHOT, ONE SHOT & FEW SHOTS PROMPTING

• Direct prompting or zero-shot prompting refers to quick prompting or think about it as performing a task without using any examples. Prompt: Generate a comprehensive overview of sustainable energy technologies, including their various types, benefits, and applications. Discuss their significance in addressing climate change and achieving energy sustainability goals. Explore key advancements, challenges, and potential future developments in the field.  
• One-shot prompting in literature review refers to providing a single example or query to generate a literature review. Prompt: Please provide a literature review on sustainable energy technologies. This should include an overview of the latest research, advancements, and trends in sustainable energy, as well as their potential impact on the environment, economy, and society. The review should cover a broad range of sustainable energy technologies, such as solar, wind, geothermal, hydroelectric, and bioenergy, and should also highlight key challenges and opportunities in the field.  
• Few-shot prompting in literature review involves providing a few examples or queries to generate a literature review. Here's an example of few-shot prompts for sustainable energy technologies: Prompt 1: Provide a brief overview of solar energy as a sustainable energy technology. Include its working principles, advantages, limitations, and current research areas. Prompt 2: Discuss the advancements and challenges in wind energy technology. Highlight its potential for large-scale electricity generation, advancements in turbine design, and integration into existing energy grids. Prompt 3: Examine the role of hydroelectric power in sustainable energy. Discuss its environmental impacts, potential for energy storage, and recent developments in small-scale hydroelectric systems. Prompt 4: Explore the use of geothermal energy as a sustainable energy source. Discuss the extraction methods, utilization in heating and electricity generation, and potential for geothermal heat pumps in residential and commercial applications. Prompt 5: Provide an overview of bio-energy technologies, including bio-fuels and biomass power generation. Discuss their environmental benefits, challenges in feed-stock sourcing, and advancements in conversion technologies. Using these few-shot prompts, please generate detailed summaries for each specific sustainable energy technology mentioned. Notes: One-shot prompting doesn't need to rely solely on examples. It can take the form of queries , such as "Please generate a literature review that addresses the research question: 'What are the effects of social media on the mental health of adolescents?'" Alternatively, it can be scope-based , like "Please provide a literature review on the influence of climate change on biodiversity in tropical rain forests, with a focus on studies published from 2010 to 2020." Different from the other two types, Zero-shot prompting is not limited to any particular context, enabling researchers to explore a wide range of topics and research areas.  

HOW TO WRITE PROMPTS FOR IMAGE GENERATION          

• Designer powered by Dall.E3 MS Edge browser > Go to Bing AI first, ask for its image creator, and then use Designer powered by Dall.E3 directly. It is free. Another option, go to https://www.bing.com/images/create > register and use it. It's free.  
• Be specific and descriptive. For inspiration, you can hover over the sample images displayed on the Copilot/Designer page to see the prompts associated with each image. For example, " silhouette of a cowboy riding into the sunset, c4d, dreamy and optimistic, vibrant sky " < Image Creator (bing.com)>. This could be a quick way to learn.  
• The formula suggested by Bing Designer in its FAQ page is "adjective, locations, even artistic styles such as digital art or photo realistic."  

     Web Guides and Articles:

• GPT Best Practice - Six strategies for Getting better results https:// platform.openai.com /docs/guides/gpt-best-practices/six-strategies-for-getting-better-results
• https://github.com/f/awesome-chatgpt-prompts
• DALLE3 Prompt Tips and Tricks Thread https://community.openai.com/t/dalle3-prompt-tips-and-tricks-thread/498040
• A jargon-free explanation of how AI large language models work https://arstechnica.com/science/2023/07/a-jargon-free-explanation-of-how-ai-large-language-models-work/
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how to write a literature review using chatgpt

Title: Mastering the Art of Writing a Literature Review Using ChatGPT

A literature review is an essential component of any academic research paper, thesis, or dissertation. It involves examining and analyzing the existing body of scholarly literature on a specific topic. Writing a comprehensive literature review can be a daunting task, but with the help of advanced AI technology like ChatGPT, the process can be simplified and streamlined.

ChatGPT, developed by OpenAI, is a powerful language generation model that can assist researchers in organizing, synthesizing, and presenting the information gathered from various sources. In this article, we will explore how ChatGPT can be utilized to enhance the process of writing a literature review.

Understanding the Topic

The first step in writing a literature review is to clearly define the research topic and establish the scope of the review. ChatGPT can be used to generate a list of relevant keywords and concepts, helping researchers to gain a better understanding of the subject matter and identify key themes and trends within the existing literature.

Searching for Sources

Once the topic has been defined, researchers can use ChatGPT to generate search queries and identify relevant scholarly articles, books, and other sources. ChatGPT can assist in conducting preliminary searches and provide suggestions for relevant databases and repositories where the literature can be found.

Organizing the Literature

One of the most challenging aspects of writing a literature review is organizing and synthesizing the information gathered from multiple sources. ChatGPT can be used to create outlines, summaries, and annotated bibliographies, helping researchers to categorize and synthesize the literature into coherent themes and subtopics.

Analyzing the Literature

ChatGPT can assist researchers in analyzing the literature by generating summaries, identifying key arguments and findings, and highlighting the most significant contributions of each source. By using ChatGPT to extract and summarize the main points of each source, researchers can save time and effort in analyzing and interpreting the literature.

Writing the Literature Review

Finally, ChatGPT can be used to generate drafts and outlines for the literature review. Researchers can use the model to generate introductory and concluding paragraphs, as well as draft sections that summarize and synthesize the literature. While it is important for researchers to critically evaluate and revise the generated content, ChatGPT can serve as a valuable tool in generating initial drafts and organizing the structure of the literature review.

Writing a literature review can be a time-consuming and labor-intensive process, but with the help of advanced AI technology like ChatGPT, researchers can streamline the process and improve the quality of their literature reviews. By leveraging the capabilities of ChatGPT, researchers can gain valuable insights, organize and synthesize the literature, and improve the overall quality and coherence of their literature reviews. As AI technology continues to advance, it is likely that tools like ChatGPT will become indispensable resources for researchers in the field of academic writing.

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Empowering learners with ChatGPT: insights from a systematic literature exploration

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• Published: 16 April 2024
• Volume 3 , article number  36 , ( 2024 )

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• Laila Mohebi   ORCID: orcid.org/0000-0003-2640-4532 1  

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With the rapid emergence of artificial intelligence (AI) tools in the academic realm, understanding their implications, advantages, and challenges becomes crucial. ChatGPT, a leading AI conversational model, has gained significant traction in educational settings, warranting a comprehensive investigation into its academic impact. This systematic review aimed to elucidate the current state of research regarding implementing ChatGPT in academic cultures, focusing on its applications, challenges, and potential in reshaping contemporary pedagogies. An exhaustive review of 32 peer-reviewed articles from 2023 encompassed categorizing diverse research fields, journals, and studies. The research then delved into the challenges, factors affecting its use, and the myriad opportunities ChatGPT offers within academic settings. An overwhelming 75% of the studies emphasized the relevance of ChatGPT and generative AI tools within higher education, underscoring its importance. Significant challenges identified included pedagogical integration (31.25%) and student engagement (15.63%). However, ChatGPT's potentially inefficient content creation (25.00%) and enhanced personalized learning (21.88%) presented promising avenues for reshaping educational experiences. Furthermore, the tool's adaptability in catering to diverse student needs and fostering collaborative environments was notable. ChatGPT emerges as a transformative force in academia, with vast potential to revolutionize pedagogical practices. Yet, academic institutions must address inherent challenges to harness their full capabilities. Future directions point towards a symbiotic integration, with AI complementing human educators to promote inclusive, dynamic learning.

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1 Introduction

There has been a significant uptick in interest in artificial intelligence (AI) applications and implications in recent years, attributed to AI's increasingly widespread use in education. Particularly noteworthy is the fact that ChatGPT, a generative conversational AI, has been at the forefront of this discourse, as multiple studies have demonstrated. Early proponents such as Adiguzel et al. [ 1 ] and Mogavi et al. [ 2 ] acknowledged the transformative potential of ChatGPT in revolutionizing education. Crawford et al. [ 3 ] emphasized the ethical implications of ChatGPT. Additionally, ChatGPT's involvement in distinct areas of learning, such as programming [ 4 ] and teaching foreign languages [ 5 ], has expanded its role in the pedagogical sphere. These areas include teaching foreign languages and teaching programming. Despite this, the incorporation of ChatGPT into the academic culture has not been without its share of difficulties and apprehensions, as is typical for introducing new technological developments.

Despite the extensive discourse on incorporating GPT into academic settings, there still needs to be consolidated knowledge about the challenges institutions and educators face in the implementation. Studies such as Lawan et al. [ 6 ] discuss strategies to mitigate the adverse effects of generative AI in education,however, there needs to be more systematic research into specific obstacles. Even though it is widely acknowledged that ChatGPT has the potential to improve many facets of education, such as self-study experiences [ 7 ] and distance learning [ 8 ], there is still a noticeable knowledge gap regarding the factors that make the incorporation of ChatGPT essential in the contemporary educational setting.

The academic world is currently at a pivotal juncture in which it must weigh the undeniable potential of ChatGPT against the ambiguities and challenges associated with its incorporation. Many educators and academic institutions need help with the complexities of effectively integrating it into academic culture even though they recognize its transformative power. Because of these obstacles and the urgent requirement for its incorporation, there is a compelling need for an in-depth investigation to be conducted in order to simplify ChatGPT's incorporation and maximize the benefits it provides for educational environments.

A systematic review of ChatGPT in education literature reveals critical research gaps. First, there are few empirical studies on ChatGPT's long-term effects on education. Adiguzel et al. [ 1 ] and Mogavi et al. [ 2 ] have begun to explore ChatGPT's transformative potential in education and user perspectives, respectively, but there needs to be long-term research on how it affects student-learning outcomes. This includes understanding how ChatGPT technology interacts differently in K-12, higher education, and vocational training. Kasneci et al. [ 9 ] and Lawan et al. [ 6 ] have begun to address the opportunities and challenges of large language models in education, but there needs to be more research on the best pedagogical strategies to use with ChatGPT to improve learning.

The ethical and practical implications of using ChatGPT in educational assessments and assignments are another significant gap. Kolade et al. [ 10 ] have touched on new learning and assessment frontiers, but more research is needed on how ChatGPT is used responsibly and effectively without compromising academic integrity. Baskara [ 11 , 12 ] and Azaria et al. [ 13 ] also note that ChatGPT's potential in language learning has yet to be fully explored. This includes learning how ChatGPT facilitates different learning styles and is integrated into curriculum design to improve critical thinking and problem-solving. Finally, Panagopoulou et al. [ 14 ] found little research on ChatGPT's legal and ethical implications in education. Data privacy, student data usage, and AI-generated content ethics in education should be considered. Therefore, the study conducted a systematic literature review to answer the research questions:

What are the major challenges and obstacles educators and institutions face when implementing ChatGPT in academic settings?

What key factors drive the need to integrate ChatGPT into academic culture and curricula? and

What are the potential opportunities and benefits the implementation of ChatGPT could bring to academic culture and learning environments?

The primary objective of this research is to investigate the multifaceted challenges that educators, academic institutions, and students face when attempting to implement ChatGPT within the context of the academic culture. Drawing on the findings of studies such as Spennemann [ 15 ] and Farrokhnia et al. [ 16 ], the research will dissect the complexities and potential pitfalls associated with such an integration. The goal study aims to determine the underlying factors highlighting the importance and urgency of incorporating ChatGPT into academic frameworks. The purpose of this study is to investigate the myriad possibilities and opportunities that the implementation of ChatGPT heralds for the academic community and to determine the driving forces that underscore the indispensability of ChatGPT in modern academic settings through an examination of works such as Karakose et al. [ 17 ] and Rasul et al. [ 18 ]. This will be accomplished by exploring works such as Karakose et al. The research will outline the potential avenues that ChatGPT can open for enriching the educational landscape by utilizing the insights from Yilmaz and Yilmaz [ 4 ], Lawan et al. [ 6 ], and Santos [ 19 ]. Finally, the study offers the research objectives:

To explore the challenges in the implementation of ChatGPT in academic culture.

To identify the factors which make the use of ChatGPT necessary in academic culture.

To see the possibilities and opportunities in the implementation of ChatGPT in academic culture.

2 Review of the literature

2.1 chatgpt and academic institutions.

Incorporating ChatGPT into educational institutions has emerged as a transformative move, redefining conventional pedagogical practices and the role of the student in the learning process. According to Adiguzel et al. [ 1 ] and Mogavi et al. [ 2 ], generative conversational AI enhances learning experiences by providing students with a dynamic and responsive platform for inquiries, discussion, and knowledge acquisition. This is discussed as a tool that can enhance learning experiences. In more specialized fields, ChatGPT has been used to supplement specific learning areas as a learning supplement. For example, Yilmaz and Yilmaz [ 4 ] emphasized its potential in programming education and suggested that students could use the platform for instant feedback, code-related inquiries, and problem-solving assistance. This was based on the idea that students could leverage the platform for these purposes. Similarly, Huang and Li investigated ChatGPT's potential role in the instruction of foreign languages. They conceived ChatGPT as a "virtual language partner" that could guide students through acquiring a command of linguistic nuance through real-time conversational drills.

In addition, educational institutions are investigating the use of the tool in contexts other than the traditional classroom setting. Klnc [ 8 ] highlighted its significance in distance science education, pointing out that it can overcome geographical barriers and offer consistent educational experiences. The researchers Larsson and Eriksson [ 7 ] emphasized the positive impact that ChatGPT has on students' self-study experiences while enrolled in higher education. ChatGPT acts as an on-demand tutor, guiding students through complex topics and clearing up any confusion that they may have. ChatGPT is not only improving the landscape of academic learning through its myriad applications but also reshaping the dynamics of student–teacher interactions and self-directed learning within institutional settings.

2.2 Challenges in the implementation of ChatGPT in academic culture

While ChatGPT's integration into academic institutions holds significant transformative potential, various studies underscore its challenges within the literary culture. Dwivedi et al. [ 20 ] and Kolade et al. [ 10 ] explore the nuanced ethical concerns of relying on generative conversational AI for research and educational assessment. There needs to be more clarity about ensuring academic integrity and the risk of students depending on AI-generated content, possibly undermining the critical thinking and originality that form the foundation of scholarly pursuits. Similarly, the work by Lawan et al. [ 6 ] on the modified flipped learning approach reflects concerns about the adverse effects of generative AI on education, emphasizing the risk of students becoming overly reliant on AI-driven tools, thus potentially diminishing the development of independent cognitive skills.

In addition, Panagopoulou et al. [ 14 ] dive deep into the legal and ethical implications surrounding the use of tools like ChatGPT in the educational domain, bringing forth the issues of data privacy, potential biases in AI responses, and the challenges in ensuring equal access to such technologies. Spennemann's [ 15 ] exploration of ChatGPT's interpretation of cultural heritage values raises questions about the model's understanding and potential misrepresentation of cultural nuances, highlighting the necessity for a critical approach in utilizing AI in fields that demand profound cultural sensitivity. These studies collectively paint a picture of caution, urging academic institutions to navigate the integration of ChatGPT thoughtfully and responsibly, considering the broader implications on student learning, cultural understanding, and the overall educational ethos.

2.3 Factors which make the use of ChatGPT necessary in academic culture

It is impossible to deny that the artificial intelligence (AI) era has begun in educational institutions, and ChatGPT has emerged as a crucial instrument in revolutionizing various aspects of education. According to Adiguzel et al. [ 1 ], the incorporation of AI, in particular ChatGPT, can significantly improve personalized learning experiences by providing real-time responses tailored to individual students' specific requirements. This is especially useful in accommodating various learning tempos and approaches, making the educational experience more welcoming to a broader range of students. In addition, the research conducted by Yilmaz and Yilmaz [ 4 ] on the application of augmented intelligence in the learning of programming indicates that ChatGPT has the potential to serve as a helpful mentor, assisting students in comprehending complex programming concepts and potentially filling gaps where human mentors may be unavailable or limited.

In addition, Santos's [ 19 ] comparative case study on the enhancement of chemistry learning reveals that tools like ChatGPT can act as powerful cognitive agents, further emphasizing the necessity of ChatGPT in academic settings. Not only do they assist in transmitting knowledge, but they also stimulate critical thinking by presenting students with various perspectives and methods of approaching problem-solving. In addition, Bentley et al. [ 21 ] argue for the necessity of AI education and suggest that integrating tools such as ChatGPT into classrooms provides students with the knowledge and abilities necessary to navigate a future increasingly digital. In an era characterized by rapid technological advancements and global connectivity, ensuring that students are AI-literate is crucial. This makes incorporating platforms like ChatGPT beneficial and necessary for a forward-looking academic culture.

2.4 Possibilities and opportunities in the implementation of ChatGPT in academic culture

The incorporation of ChatGPT into academic institutions paves the way for a wide variety of possibilities that have the potential to be transformative. According to Adiguzel et al. [ 1 ], the utilization of ChatGPT has the potential to redefine personalized learning by optimizing the educational trajectory for each student based on the specific requirements and learning patterns unique to that student. This not only promises more individualized educational experiences but also increases the amount of engagement and retention that takes place. Research conducted by Yilmaz and Yilmaz [ 4 ] on the application of augmented intelligence in programming demonstrates, once again, the potential utility of ChatGPT as a platform for teamwork. Students can interact with an AI in this space to have their questions answered, gain coding experience, or even investigate more advanced topics, broadening the scope of their knowledge beyond the confines of traditional educational curricula.

On the other hand, the research conducted by Santos [ 19 ] demonstrates how ChatGPT can be utilized as an advanced cognitive agent in fields such as chemistry, thereby encouraging inquiry-based learning and motivating students to question established dogma. Thanks to ChatGPT's role as a dynamic educational assistant, learners can develop deeper comprehension and analytical skills. ChatGPT can pose challenging questions, simulate real-world scenarios, and provide instant feedback. In addition, the research conducted by Baskara [ 11 , 12 ] in the field of English language education highlights the numerous opportunities presented by using ChatGPT in simulations spanning multiple disciplines. These applications can be of tremendous use to language students because they enable students to engage in conversational practice, understand cultural nuances, and improve their language skills. When taken as a whole, these studies highlight the plethora of opportunities ChatGPT offers, thereby holding out hope for a revitalized, innovative, and interactive academic culture in the years to come.

3 Research methodology

This study followed the principles of a systematic literature review so PRISMA diagram in Fig.  1 shows the procedure of conducting the study.

PRISMA diagram

3.1 Search strategy

The study identifies the main keywords and terms related to the research question or topic. For the study on ChatGPT in academic culture, this includes terms such as "ChatGPT," "academic institutions," "AI in education," and "generative AI." The terms identified from literature studies such as those from Adiguzel et al. [ 1 ] and Mogavi et al. [ 2 ], were used as the key principles to conduct the SLR. The study searched those articles that were published after 2020 and focused on ChatGPT, AI and Generative AI tools used in educational contexts.

3.2 Database selection

After applying the search strategy, the study identifies an appropriate academic and professional database that contain relevant literature. Databases like PubMed, IEEE Xplore, ERIC, Google Scholar, and arXiv (considering preprints like [ 2 ] and [ 19 ] were used for this review. Total of 988 articles were found based on the keywords, however, the irrelevant articles other than from educational contexts, were removed from the sample. In order to finalize the sample, the study used only the papers that were totally based on ChatGPT, AI and Generative AI tools in educational contexts.

3.3 Inclusion and exclusion criteria

The study used the clear criteria for which studies to include or exclude based on relevance, publication date, type of publication, etc. For instance, only articles after 2020 were considered to ensure the latest perspectives on ChatGPT in academic settings. This often involves a two-step process:

Title and abstract screening: Eliminate irrelevant articles from their title and abstract.

Full-text screening: Read the full texts of the shortlisted articles to ensure they are pertinent to the research question.

3.4 Data extraction

Once the final list of literature is decided, extract relevant data from each study. This could be the methods they used, the main findings, the study context, etc. The depth of insight from articles like those of Dwivedi et al. [ 20 ] and Kasneci et al. [ 9 ] will provide comprehensive views on ChatGPT's roles and implications. Evaluate the quality of each study, considering the methodology used, sample size, potential biases, and so forth. Some studies, significantly peer-reviewed articles from journals like "Contemporary Educational Technology" or "International Journal of Information Management," may naturally carry more weight due to rigorous review processes.

3.5 Synthesis of findings

Group findings under thematic areas has been followed using six steps of Braun and Clarke [ 22 ]. For instance, the opportunities of ChatGPT in academia might be one theme, while challenges could be another. The diversity of topics, ranging from the perception of ChatGPT, as seen in Mogavi et al. [ 2 ], to its role in foreign language teaching as in Huang and Li [ 5 ], can provide a rich tapestry of insights. A systematic literature review based on the 27 literature references would require a structured, rigorous, and transparent approach to ensure the findings are comprehensive, unbiased, and informative.

4.1 Descriptive statistics

Table 1 provides an overview of academic research conducted in 2023 concerning the role and implications of ChatGPT and generative artificial intelligence in education and beyond. The predominant trend suggests that ChatGPT, a significant representative of advanced AI, has garnered considerable attention in the academic sector. Numerous studies have explored its multifaceted applications in areas ranging from revolutionizing general education to its potential in specialized domains like chemistry learning and language acquisition. The broad array of journal names reflects that the research is interdisciplinary, encompassing educational technology, information management, individual learning differences, and cultural heritage interpretation. Additionally, the predominance of research in education-focused journals indicates a growing consensus on the transformative potential of AI tools in reshaping pedagogical approaches and learning environments.

Furthermore, while most of the studies discuss the benefits, opportunities, and applications of ChatGPT in learning, there is also a concern about its challenges and implications. Articles like those by Lawan et al. [ 6 ] and Panagopoulou et al. [ 14 ] focus on the adverse effects and legal considerations of such AI tools in education. This suggests a balanced academic discourse, recognizing the advancements AI promises and the cautions required in its application. Notably, there is an ongoing interest in the more specialized roles of ChatGPT, with studies on topics such as digital leadership, technology integration, and the development of critical thinking skills highlighting the tool's expansive reach and potential. In sum, 2023 has been a year of substantial academic reflection on ChatGPT, acknowledging its multifaceted impact on the educational landscape.

4.2 Studies categorization

In the provided systematic literature review, an overwhelming majority of studies, precisely 24 out of 32, are concentrated on the context of higher education (Fig.  2 ). This accounts for 75% of the research, highlighting the substantial focus and perceived importance of ChatGPT and generative AI tools within universities and colleges. On the other hand, the school level is notably underrepresented, with just one study constituting a mere 3.125% of the total research. This suggests that primary and secondary education sectors still need to be a significant focal point for such investigations. Additionally, "Other Contexts" accounts for 7 studies or 21.875% of the total, indicating a broader interest in ChatGPT's application beyond mainstream educational settings. The data underscores the pressing relevance of AI in higher education while also pointing to the potential areas that might need further exploration in the future.

Number of studies and categorization

4.3 Challenges in the implementation of ChatGPT in academic culture

Table 2 offers an overview of the prevailing concerns and obstacles associated with incorporating ChatGPT in academic settings. At the forefront of these challenges is the "Pedagogical Integration" issue, with a significant 31.25% of the studies highlighting the difficulties of seamlessly embedding ChatGPT into existing educational frameworks. Such a concern underscores the importance of aligning technological advancements with teaching methods to ensure effective learning outcomes. Additionally, both "Student Engagement and Motivation" and "Educator Preparedness and Training" occupy an equal share of the concerns at 15.63%, highlighting a symbiotic relationship: educators’ need proper training to exploit the capabilities of ChatGPT, while students require motivation to utilize this tool effectively.

On the other hand, "Technological Infrastructure" and "Collaborative Learning" are on the lower end of the spectrum, with only 3.13% of studies highlighting these challenges. It might suggest that while the fundamental technical infrastructure is becoming commonplace in academic institutions, the real challenge lies in how the tool is integrated and used rather than mere access to it. Moreover, "Ethical Considerations and Bias" and "Language Proficiency and Communication" are not overlooked, considering the inherent biases AI models might have and the necessity for clear communication in educational settings. In conclusion, while ChatGPT presents promising educational potential, addressing these challenges is paramount to realizing its full benefits in fostering an enriched academic culture.

4.4 Factors affecting the use of ChatGPT in academic culture

Table 3 , titled "Factors affecting the use of ChatGPT in academic culture," offers insights into the potential advantages and drivers pushing for adopting ChatGPT in academic environments. Dominating the list is "Efficient Content Creation and Delivery" at 25.00%, suggesting that educators and institutions see a significant value in leveraging ChatGPT for efficiently curating and disseminating academic content. This is closely followed by "Enhanced Personalized Learning" at 21.88%, reflecting a growing demand in educational settings for tailored experiences that cater to individual learning paces and styles. "Accelerated Research and Writing," also at 21.88%, echoes the advantages of AI in streamlining the research process, pointing towards the tool's potential in simplifying academic writing tasks and enhancing research capabilities.

Moreover, "Support for Diverse Learning Needs" and "Collaborative Learning," both standing at 15.63%, underline the versatility of ChatGPT in catering to a variety of learners and promoting group-based learning, respectively. "Language Support and Translation Assistance" at 12.50% emphasizes the global nature of education today, where language barriers are continuously being broken down. Surprisingly, "Academic Support and Tutoring" only accounts for 6.25% of the studies, suggesting that while ChatGPT is a supplementary tool for academic help, it might not be the primary go-to solution for many. In conclusion, the multitude of factors advocating for adopting ChatGPT in academia underscores its versatility and potential to enhance various facets of the learning process, making it a significant asset in the ever-evolving educational landscape.

4.5 Possibilities and opportunities in the implementation of ChatGPT in academic culture

Table 4 sheds light on the myriad of possibilities and opportunities that arise from implementing ChatGPT in the academic realm. The leading chance, as seen by "Efficient Content Creation and Delivery," garnering 25.00%, indicates an educational shift where educators recognize the advantages of using ChatGPT to facilitate a more streamlined and timely dissemination of content. Following closely is the "Enhanced Personalized Learning" factor with 21.88%, underlining the capability of ChatGPT to provide tailored educational experiences, catering to unique learner demands and augmenting individual learning trajectories. Another notable element is "Accelerated Research and Writing," which stands at 21.88%, suggesting that the academic community acknowledges ChatGPT's potential in bolstering research endeavors and simplifying writing processes.

Additionally, aspects such as "Support for Diverse Learning Needs" and "Collaborative Learning," both at 15.63%, highlight ChatGPT's adaptability in addressing a wide range of student profiles and fostering collaborative learning environments. "Enhanced Student Engagement and Motivation" and "Development of Critical Thinking Skills," with percentages of 18.75%, each emphasize the tool's capability to invigorate student enthusiasm and instill higher-order cognitive skills. The lesser focus on "Academic Support and Tutoring" at 6.25% hints that while ChatGPT is appreciated for its supplementary educational roles, it might not be the mainstay for intensive academic assistance. Table 4 encapsulates a promising future for ChatGPT in the academic sector, where its multifaceted advantages can be harnessed to revolutionize contemporary educational practices and pedagogies.

5 Discussion

The findings of the systematic literature review make it clear that ChatGPT has become increasingly popular and has been incorporated into the academic sphere as a direct result. The findings from Adiguzel et al. [ 1 ] and Kasneci et al. [ 9 ], which looked at the transformative potential of ChatGPT and the opportunities and challenges presented by large language models in education, are consistent with the current research, which emphasizes the pedagogical integration of ChatGPT as a dominant theme. The current analysis reveals a high incidence of studies focusing on pedagogical integration (31.25%), which supports the previously identified imperative that educational institutions modify their teaching strategies to utilize AI's potential fully. Lawan et al.'s [ 6 ] investigation of modified flipped learning to reduce the possible adverse effects of artificial intelligence illustrates this, indicating that educators are actively looking for ways to integrate ChatGPT into pre-existing educational frameworks.

Furthermore, as 21.88% and 25.00% of studies have indicated, ChatGPT's contribution to personalized learning and effective content delivery significantly drives its necessity in academic culture. These features align with the opinions expressed by users regarding ChatGPT's educational applications, as highlighted by Mogavi et al. [ 2 ]. The focus on individualized learning aligns with the findings of Yilmaz and Yilmaz's [ 4 ] study on using augmented intelligence in programming instruction, which shows that ChatGPT's flexibility can accommodate different learning preferences and requirements.

The current study identifies ethical issues, educator readiness, and student involvement as significant concerns regarding the difficulties in implementing ChatGPT. These findings are consistent with Crawford et al. [ 3 ] on ethical leadership with AI and Kohnke et al. [ 24 ] on university instructors' readiness for AI. According to Karakose et al. [ 17 ], in their discussion of digital leadership, 15.63% of studies that concentrated on educator training and readiness highlight the need for professional development to give educators the tools they need to use ChatGPT in an academic setting.

Last, the current findings and earlier research highlight the potential benefits of ChatGPT's application in academic cultures, such as collaborative learning and developing critical thinking abilities. Mejia and Sargent's [ 28 ] claims regarding using technology to develop critical thinking skills are supported by the 18.75% of studies in the current analysis that focus on this skill's development. Similar to how 15.63% of studies report that ChatGPT facilitates collaborative learning, Azaria et al. [ 13 ] provide evidence of ChatGPT's effectiveness as an expert tool, which may promote higher-order collaboration and knowledge construction within academic communities.

5.1 Policy implications

The study offers policy implications for academic institutions. The significant focus on "Efficient Content Creation and Delivery" suggests that ChatGPT and similar AI tools can be integrated into curriculum design. Educational institutions should consider leveraging AI in formulating and updating course content. Educators can create a more dynamic, up-to-date, and relevant curriculum. Policies should thus promote training and workshops that introduce educators to the potentials and methodologies of such integration. Given the concerns related to "Pedagogical Integration" and "Educator Preparedness and Training," institutions should prioritize continuous professional development for educators in AI. This includes technical training and methodologies to incorporate AI tools into their teaching strategies seamlessly. A holistic understanding will enable educators to maximize the benefits of AI, thus enhancing student engagement and learning outcomes.

Institutions should develop comprehensive ethical guidelines for AI use, with "Ethical Considerations and Bias" being a recognized challenge. This would address potential biases and data privacy issues and ensure that the AI tools align with the institution's values and larger educational goals. It's imperative that while embracing AI, institutions also maintain the trust of students, educators, and stakeholders. Although "Technological Infrastructure" was less concerned, institutions must ensure a robust technological backbone to support widespread AI integration. This goes beyond mere access to the technology but also includes providing technical support, periodic maintenance, and regular updates. The potential for "Enhanced Personalized Learning" should be harnessed by creating policies that encourage the development of personalized learning pathways. These pathways, powered by AI, can adapt to students' needs in real-time, ensuring that every learner is catered to individually, optimizing their learning journey. ChatGPT's "Collaborative Learning" capability suggests that institutions should foster environments that promote group-based activities and collaborative projects, with AI tools as facilitators. Such policies will harness the potential of AI to enhance team dynamics and student cooperative efforts.

Incorporating these policy implications will not only harness the potential benefits of AI in academia but also address the challenges, ensuring a comprehensive and effective integration of tools like ChatGPT into the academic culture.

5.2 Limitations and future directions

Introducing artificial intelligence (AI) tools like ChatGPT into educational institutions has limitations. The currently available AI models have the potential to unintentionally perpetuate biases that are already present in their training data, which raises concerns about the neutrality and fairness of the content that is generated. A dependency on technological infrastructure also exists, which may prevent organizations with limited resources from taking advantage of these advancements. In addition, putting less stock in artificial intelligence can obscure essential human components of education, such as mentorship, experiential learning, and empathy. When looking to the future, it is necessary to make investments in AI systems that are objective and open to scrutiny, in addition to providing extensive training for educators. The way forward should center on a symbiotic integration in which artificial intelligence serves as a supplement to human educators rather than a replacement for them, and it should promote an inclusive, dynamic, and comprehensive learning environment.

Availability of data and materials

I confirm that all data and materials used in this study are readily available upon request to interested researchers.

Abbreviations

Artificial Intelligence

Chat generative pre-trained transformer

Adiguzel T, Kaya MH, Cansu FK. Revolutionizing education with AI: exploring the transformative potential of ChatGPT. Contemp Educ Technol. 2023;15(3):ep429.

Article   Google Scholar  

Mogavi RH, Deng C, Kim JJ, Zhou P, Kwon YD, Metwally AHS et al. Exploring user perspectives on chatgpt: applications, perceptions, and implications for ai-integrated education. 2023. arXiv preprint arXiv:2305.13114 .

Crawford J, Cowling M, Allen KA. Leadership is needed for ethical ChatGPT: character, assessment, and learning using artificial intelligence (AI). J Univ Teach Learn Pract. 2023;20(3):02.

Google Scholar  

Yilmaz R, Yilmaz FGK. Augmented intelligence in programming learning: examining student views on the use of ChatGPT for programming learning. Comput Hum Behav Artif Hum. 2023;1(2): 100005.

Huang J, Li, S. Opportunities and challenges in the application of ChatGPT in foreign language teaching. IJESSR, 2023;6(4):75–89.

Lawan AA, Muhammad BR, Tahir AM, Yarima KI, Zakari A, Abdullahi AH II, et al. Modified flipped learning as an approach to mitigate the adverse effects of generative Artificial Intelligence on education. Educ J. 2023;12(4):136–43.

Larsson N, Eriksson H. Chatting up the grade: an exploration on the impact of ChatGPT on self-study experience in higher education. 2023. Umeå University.

Kılınç S. Embracing the future of distance science education: opportunities and challenges of ChatGPT integration. Asian J Distance Educ, 2023;18(1):205–237. https://eric.ed.gov/?id=EJ1389448 .

Kasneci E, Seßler K, Küchemann S, Bannert M, Dementieva D, Fischer F, et al. ChatGPT for good? On opportunities and challenges of large language models for education. Learn Individ Differ. 2023;103:102274.

Kolade O, Owoseni A, Egbetokun A. Assessment on trial? ChatGPT and the new frontiers of learning and assessment in higher education. 2023. Retrieved from https://www.researchgate.net/publication/369974458_Assessment_on_trial_ChatGPT_and_the_new_frontiers_of_learning_and_assessment_in_higher_education .

Baskara FR. ChatGPT as a virtual learning environment: multidisciplinary simulations. In Proceeding of International Conference on Innovations in Social Sciences Education and Engineering, Vol. 3, pp. 017. 2023.

Baskara FR. ChatGPT-assisted English language learning: theoretical implications for global mobility and cross-cultural communication. In International Conference on Language and Language Teaching, 2023. pp. 105–120.

Azaria A, Azoulay R, Reches S. ChatGPT is a remarkable tool—for experts. arXiv preprint arXiv:2306.03102 . 2023.

Panagopoulou F, Parpoula C, Karpouzis K. Legal and ethical considerations regarding the use of ChatGPT in education. arXiv preprint arXiv:2306.10037 . 2023.

Spennemann DH. ChatGPT and the generation of digitally born “knowledge”: How does a generative AI language model interpret cultural heritage values? Knowledge, 2023;3(3):480–512. https://doi.org/10.3390/knowledge3030032 .

Farrokhnia M, Banihashem SK, Noroozi O, Wals A. A SWOT analysis of ChatGPT: implications for educational practice and research. Innov Educ Teach Int. 2023;1–15.

Karakose T, Demirkol M, Yirci R, Polat H, Ozdemir TY, Tülübaş T. A conversation with ChatGPT about digital leadership and technology integration: comparative analysis based on human–AI collaboration. Admin Sci. 2023;13(7):157.

Rasul T, Nair S, Kalendra D, Robin M, de Oliveira Santini F, Ladeira WJ, et al. The role of ChatGPT in higher education: benefits, challenges, and future research directions. J Appl Learn Teach. 2023;6(1).

Santos RPD. Enhancing chemistry learning with ChatGPT and Bing Chat as agents to think with: a comparative case study. 2023. arXiv preprint arXiv:2305.11890 .

Dwivedi YK, Kshetri N, Hughes L, Slade EL, Jeyaraj A, Kar AK, et al. “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. Int J Inf Manage. 2023;71: 102642.

Bentley C, Aicardi C, Poveda S, Magela Cunha L, Kohan Marzagao D, Glover R, et al. A framework for responsible AI education. Available at SSRN. 2023.

Braun V, Clarke V. Using thematic analysis in psychology. Qualitative Research in Psychology. 2003;3(2):77–101. https://doi.org/10.1191/1478088706qp063oa .

Ruiz-Rojas LI, Acosta-Vargas P, De-Moreta-Llovet J, Gonzalez-Rodriguez M. Empowering education with generative artificial intelligence tools: approach with an instructional design matrix. Sustainability. 2023;15(15):11524.

Kohnke L, Moorhouse BL, Zou D. Exploring generative artificial intelligence preparedness among university language instructors: a case study. Comput Educ Artif Intell. 2023;5: 100156.

Alshahrani A. The impact of ChatGPT on blended learning: current trends and future research directions. Int J Data Netw Sci. 2023;7(4):2029–40.

Marbun TO. Integration of artificial intelligence, ChatGPT, and critical thinking method for academic assignment at theological higher education. 2023. Retrieved from https://europepmc.org/article/ppr/ppr680398 .

Rudolph J, Tan S, Tan S. War of the chatbots: Bard, Bing Chat, ChatGPT, Ernie and beyond. The new AI gold rush and its impact on higher education. J Appl Learn Teach. 2023;6(1).

Mejia M, Sargent JM. Leveraging technology to develop students’ critical thinking skills. J Educ Technol Syst. 2023. https://doi.org/10.1177/00472395231166613 .

Muñoz-Basols J, Neville C, Lafford BA, Godev C. Potentialities of applied translation for language learning in the era of artificial intelligence. Hispania. 2023;106(2):171–94.

Fischer G. Check for updates adaptive and adaptable systems: differentiating and integrating AI and EUD Gerhard Fischer (~) Center for Life Long Learning & Design (L3D), Department of Computer Science and Institute. In End-User Development: 9th International Symposium, IS-EUD 2023, Cagliari, Italy, June 6–8, 2023, Proceedings, Vol. 13917, p. 3. Springer Nature; 2023.

Abu-Ghuwaleh M, Saffaf R. Integrating AI and NLP with project-based learning in STREAM education. Preprints 2023. https://doi.org/10.20944/preprints202306.0848.v1 .

Cacciuttolo C, Vásquez Y, Cano D, Valenzuela F. Research thesis for undergraduate engineering programs in the digitalization era: learning strategies and responsible research conduct road to a university education 40 paradigm. Sustainability. 2023;15(14):11206.

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Mohebi, L. Empowering learners with ChatGPT: insights from a systematic literature exploration. Discov Educ 3 , 36 (2024). https://doi.org/10.1007/s44217-024-00120-y

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ChatGPT Examples – A Detailed Guide to Practical Applications

by Sam McKay, CFA | ChatGPT

Imagine having a virtual assistant that can understand your questions, write you a song, help you write code, and even help you create entire meal plans. Well, you don’t have to imagine anymore, because ChatGPT does all that and so much more!

Developed by OpenAI , ChatGPT is where artificial intelligence meets practical applications. Its multifaceted uses, from content generation to coding to customer support, make this groundbreaking language model a must-have in anybody’s toolkit, and the future of how we interact with AI in our everyday lives.

This article goes through a list of ChatGPT examples to show you what ChatGPT can do, what it can’t do, and how you can use it to make your life easier today.

Let’s get started!

Table of Contents

How Does ChatGPT Work?

ChatGPT is a breakthrough in natural language processing. But how exactly does it work ?

Well, it’s actually pretty simple. The machine learning model is fed an enormous amount of text from a wide variety of sources, like books, articles, and websites, and it is this massive dataset that allows the model to learn the patterns, nuances, and intricacies of human language.

What’s more, ChatGPT is capable of unsupervised learning, meaning it has learned to generate responses by predicting what comes next in a sentence and understanding and producing coherent text.

So that’s how ChatGPT works. Now let’s bring the conversation into the here and now and talk about the ChatGPT model of today: ChatGPT-3.5 .

What’s So Great About ChatGPT 3.5?

GPT 3.5 is a significant leap forward in language modeling and builds upon the successes of its predecessors.

But what about GPT 3.5 is it generating so much excitement?

• Unlike the ChatGPT that came before it, GPT 3.5 has an impressive capacity for understanding context and producing relevant responses.The newly released GPT 4 model is even more advanced in accomplishing this.
• The sheer size of the training data used on ChatGPT is also impressive. It was trained on an enormous dataset, containing an unfathomable amount of text from diverse sources.This allows it to better understand the intricacies of human language.
• The GPT 3.5 model has the ability to ask clarifying questions . If you ask ambiguous questions, it can seek further information from you to provide more accurate and relevant responses.
• GPT 3.5 exhibits impressive fluency and naturalness in its generated text . It can produce coherent and human-like responses that feel as though they were written by a person.

These are just some of the advancements that have come with the ChatGPT 3.5 model. But before we get to the ChatGPT examples, let’s get to the not-so-rosy side of the picture. Let’s talk about limitations.

What Are the Limitations of ChatGPT 3.5?

While ChatGPT 3.5 is an impressive technological advancement, it’s important to recognize that it does have its limitations.

Here are two of the biggest limitations:

1. Lack of Common Sense

ChatGPT 3.5 lacks real-world experiences and common sense knowledge. It relies solely on the information it has been trained on and may provide incorrect or nonsensical answers in situations where common sense is required.

So it won’t tell you whether you should get your wife the craving she wants or not. The common sense answer for that is yes, by the way.

2. Limited Factual Accuracy

ChatGPT 3.5 only has access to information pre-September 2021. It may therefore occasionally provide inaccurate or outdated information. It doesn’t even know that Queen Elizabeth II passed away.

Keeping these limitations in mind, we can now look at some ChatGPT examples. What can ChatGPT do for you?

ChatGPT’s Practical Applications

Over 1.8 billion people use ChatGPT every month, and they’re all coming to the platform to fulfill a variety of needs.

From content generation to travel planning, here are some of the common uses of ChatGPT.

1. ChatGPT for Content Writing & Editing

One of ChatGPT’s most popular uses is as a content generation tool.

Here are just some of the popular ChatGPT examples of what’s possible in the realm of content generation.

1. Articles – Whether it’s a news article or an article for your website, ChatGPT can write articles that are thought-provoking and research-based.

Just remember that if it’s producing a researched piece, it’s only privy to information before September 2021, so it might not be working with the most up-to-date research.

2. Blog Posts – Do you own a blog, but don’t know where you’ll find the time to write your next blog post? ChatGPT can write it for you.

ChatGPT can help you create engaging and informative blog posts on a wide range of topics, catering to different niches and target audiences. It will even help you generate ideas for new articles.

3. Marketing Content – This is another popular use of ChatGPT. You can use the platform to create compelling copies for your advertising campaigns, persuasive ad copies, attention-grabbing headlines, or compelling calls-to-action to drive customer engagement.

Other ChatGPT examples in this area include email newsletters, product descriptions, and web copies for your web pages, just to name a few.

4. Social Media Captions – The social media industry is booming right now, and a boring caption might be enough to stop someone from hitting that ‘like’ or ‘follow’ button. And for content creators, that might mean less income.

ChatGPT can help you create catchy and attention-grabbing captions for each of your social media posts and for each of your social media platforms.

5. Other Cool ChatGPT Examples – Along with the listed content generation uses, ChatGPT can also be used to write songs, poems, scripts, and even generate recipe ideas.

However, you have to remember that this is an AI. So while it may create very human-sounding content, you may want to go over the content to fine-tune it and give it some personal flair and human nuances.

But regardless of its content generation limitations, it’s clear that ChatGPT is revolutionizing the way we generate content, and we’re all the better for it.

2. ChatGPT for Coding

OK, so we’ve talked about how ChatGPT can be used to generate text. But what about using ChatGPT to generate code? People are now increasingly using ChatGPT for coding purposes.

Here are just some of the ChatGPT examples of how you can use this machine-learning model to help with writing code:

1. Code Completion – ChatGPT can assist in code completion by providing suggestions for the next line of code as you type. It can save you time and reduce errors by offering contextually relevant code snippets.

2. Debugging Code – When you encounter an error or bug in your code, ChatGPT can help you troubleshoot by providing insights and suggestions on potential solutions or pointing out common mistakes.

3. Syntax Help – If you’re unsure about the correct syntax or usage of a programming language or framework, ChatGPT can provide code examples and quick explanations to clarify any confusion.

4. Language Translation – ChatGPT can assist in translating code snippets or error messages between different programming languages, enabling you to work with code in unfamiliar languages more effectively.

5. Code Review – ChatGPT can aid in code review by analyzing code snippets, identifying potential issues, and offering suggestions for improvement or adherence to coding best practices.

Remember, while ChatGPT can provide guidance and support in coding, you should definitely validate and verify the suggestions it offers. Human judgment and expertise are vital for ensuring the correctness and quality of your code.

Speaking of expertise, let’s go over some ChatGPT examples for education and learning in the next section.

3. ChatGPT for Education

Now, let’s talk about ChatGPT as an education tool. ChatGPT is a fantastic education tool and offers a lot of support with learner-related tasks.

Here are just a few ways ChatGPT lends itself to the education sector:

1. Learning Assistant – ChatGPT can act as a virtual tutor, providing in-depth explanations, clarifications, and examples to help students grasp complex concepts in different subjects.

2. Homework Helper – Students can use ChatGPT to seek assistance with their homework assignments, or get guidance and suggestions for problem-solving and writing assignments.

3. Language Learning – ChatGPT can help language learners by engaging in conversations, providing vocabulary suggestions, offering grammar explanations, and even acting as a language practice partner.

4. Test Preparation – You can use ChatGPT to simulate exam scenarios. The platform can generate multiple-choice questions and give you feedback on your answers to improve your test-taking skills.

The ability to create multiple-choice questions is also incredibly useful for educators. As an educator, you can generate quiz and test questions, and have the answers generated with only one or two prompts.

5. Research Assistant – ChatGPT can be used to find relevant sources, summarize research, or help in generating ideas for research topics.

6. Writing Feedback – Students can receive feedback on their essays, reports, or other written assignments from ChatGPT, which helps them improve their writing skills and enhance the structure, coherence, and clarity of their work.

7. Career Guidance – ChatGPT can provide career advice and offer insights on different career paths. It can also provide information about job prospects, educational requirements, and skills needed in specific fields.

In this vein, the platform can also help you construct an effective college admissions essay, cover letter, and resume, and help you with your job interview preparation.

We must mention that while ChatGPT is a great educational helper, it can’t take the place of the education system.

Teachers and educators play a significant role in guiding students’ learning journeys and should provide oversight and context to ensure a well-rounded educational experience for learners.

In the next section, we’ll go over some ChatGPT examples for the customer service field.

4. ChatGPT for Customer Service

Another very popular use of ChatGPT is as a customer service tool.

Here’s how and why this platform is well-suited for this function:

1. Instant Responses – ChatGPT can provide quick and automated responses to frequently asked questions, enabling customers to get immediate answers to common inquiries.

2. 24/7 Availability – With ChatGPT, businesses can offer round-the-clock customer support, ensuring that customers can seek assistance at any time, even outside of regular business hours.

3. Troubleshooting Support – ChatGPT can assist customers in troubleshooting common technical issues with products or services by providing step-by-step instructions or suggesting potential solutions.

4. Complaint Resolution – ChatGPT can handle the initial stages of complaint resolution by acknowledging customer concerns, gathering relevant information, and escalating issues to appropriate personnel if necessary.

5. Multilingual Support – ChatGPT’s language capabilities enable businesses to offer customer service in multiple languages, expanding their reach and ensuring efficient communication with a diverse customer base.

6. Feedback Collection – ChatGPT can engage in conversations with customers to gather feedback, suggestions, and ratings, helping businesses gather valuable insights to improve their products or services.

While ChatGPT can enhance customer service experiences, as a business owner you need to remember to maintain a balance between automated support and human interaction.

Some complex or sensitive situations may still require human intervention to ensure personalized care and empathetic understanding.

Next, we’ll go over some examples of ChatGPT working as a virtual assistant.

5. ChatGPT as a Virtual Assistant

We would probably all agree that we all seem to be busier and more stressed out than ever. And there just doesn’t seem to be enough time in the day to get everything done.

And for most of us, a virtual assistant is just what we would need to get some of those annoying tasks off our hands so we can concentrate on what’s left. Luckily, there are multiple ChatGPT examples of how the platform can help you do just that.

Here are a few of them:

1. Schedule Management – ChatGPT can help manage your calendar and send you reminders for important events like your niece’s upcoming birthday party.

This helps you stay organized and on top of your commitments.

2. Email Management – ChatGPT can assist in sorting, organizing, and responding to emails, prioritizing messages, and providing summaries of important information, helping you stay on top of your inbox.

3. Task and To-Do Lists – ChatGPT can act as a task manager, allowing you to create, organize, and track your to-do lists. It can remind you of pending tasks and help you prioritize your workload.

4. Travel Planning – ChatGPT can be your own personal travel agent. It can help you with everything from finding flights and accommodations to suggesting popular destinations, historical and cultural attractions, and local restaurants.

It can also help you find the best deals and create itineraries based on your preferences.

5. Personalized Recommendations – ChatGPT can act as your health assistant, shopping assistant, or even a cinema concierge that gives you customized movie recommendations tailored to your specific likes and dislikes.

These recommendations are made based on your preferences and previous interactions

6. Language Translation – ChatGPT’s language capabilities allow it to translate text, helping you understand and communicate in different languages, and bridging communication gaps.

This is especially useful for avid travelers and those working in linguistically diverse workplaces.

7. Data Processor – If you tell ChatGPT you’re looking for a dataset on global weather patterns (or practically any other topic!), it can search through various online databases, to find relevant data sets for you.

You can also train ChatGPT to help you collect and create your own data for research, business intelligence, or even training purposes.

For instance, if you want to integrate ChatGPT in Outlook, check out our video below:

Remember, while ChatGPT can perform many tasks, it’s important to exercise discretion and verify critical information independently.

Also, remember ChatGPT’s information limitation. Because it only has information up to September 2021, you may not get the most up-to-date travel information or an up-to-date list of the best restaurants to visit in 2023.

Final Thoughts

In the ever-evolving landscape of artificial intelligence, ChatGPT has emerged as a versatile and powerful tool with a myriad of practical applications.

From enhancing customer service experiences to revolutionizing content creation, ChatGPT showcases its potential to streamline tasks, boost productivity, and inspire innovation across various domains.

While ChatGPT demonstrates its prowess in practical applications, it’s important to acknowledge its limitations.

As an AI model, it relies on the data it has been trained on, and its responses may not always be perfect or error-free. Human oversight and intervention are essential to ensure accuracy, quality, and the infusion of human creativity.

So, is ChatGPT the best AI for practical applications? It certainly stands among the frontrunners, showcasing its potential to transform industries, simplify workflows, and augment human capabilities.

However, it’s crucial to consider the specific requirements of each use case and explore the wide range of AI solutions available to determine the best fit. It’s an exciting time to be part of this revolution, and we can’t wait to see what new innovative applications the future holds. The possibilities are virtually limitless!

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PDF ChatGPT: The Latest Guide for Beginners with Complete Steps

Have you heard of PDF ChatGPT? ChatGPT is a popular AI tool that can answer any question and mimic human speech. Microsoft’s Copilot is an AI assistant based on ChatGPT that helps with work tasks. But how can you use ChatGPT to work with PDF files? This guide shows you how to use PDF ChatGPT, a feature that lets you talk to PDFs using natural language. Learn how to use PDF ChatGPT’s functions and benefits with easy steps and examples. Discover how this tool can save time, improve productivity, and spark creativity.

Part 1: What Are the Features for PDF ChatGPT Tool?

1. Extracting text from PDF files with ChatGPT:

Benefit: Enables the extraction of text content from PDF files, making it accessible for further analysis and processing.

Use case: Useful for situations where you need to extract specific information, perform text analysis, or utilize NLP techniques on the PDF text.

2. Information retrieval with PDF ChatGPT plugin:

Benefit: Allows you to ask questions or provide queries to ChatGPT and retrieve relevant information from the PDF document.

Use case: Useful for searching and retrieving specific information from PDFs, such as finding answers to questions, extracting facts, or locating relevant details.

3. Document summarization with ChatGPT:

Benefit: ChatGPT can generate concise summaries of PDF documents, providing an overview of the content without the need to read the entire document.

Use case: Useful for quickly understanding the key points and main ideas of lengthy PDF documents, saving time and effort.

3. Document translation:

Benefit: ChatGPT can assist with translating PDF documents from one language to another, helping overcome language barriers.

Use case: Useful when you need to translate PDF content into a different language, enabling better accessibility and understanding for multilingual audiences.

4. Chat with PDF files:

Benefit: The integration of ChatGPT with PDF files allows for interactive conversations directly within the PDF documents.

Use case: Engage in real-time conversations, ask questions, seek clarification, and explore specific aspects of the content within PDF files. This provides an interactive and efficient way to interact with PDF information.

Part 2: How to Sign Up and Login ChatGPT for PDF?

How to create an chat gpt account.

Step 1： Visit the OpenAI website: Go to the OpenAI website at https://openai.com/ .

Step 2： Sign up or log in: If you already have an OpenAI account, log in using your credentials. Otherwise, click on the "Sign up" button to create a new account.

Step 3： Provide required information: Fill in the necessary information to create your OpenAI account. This may include your name, email address, and a password. Follow the instructions on the registration page to complete the sign-up process.

Step 4： Agree to terms and conditions: Review and agree to the OpenAI terms of service, usage policies, and any other applicable agreements or policies related to using the ChatGPT service.

Step 5： Login chat gpt with the account you just created.

How to log in to ChatGPT

Step 1： Go to the official website of OpenAI at https://chat.openai.com/auth/login .

Step 2： Once on the website's homepage, click the "login" option. This will take you to the login page.

Step 3： You can use your email address to sign up

Step 4： Once you've completed these steps, you'll be logged into ChatGPT and can start using the interface.

Part 3: 4 Methods to Upload a PDF to ChatGPT

Method 1: copy and paste the text.

Step 1： Open the PDF file on your computer or device.

Step 2： Select the desired text from the PDF by clicking and dragging the cursor over it.

Step 3： Right-click on the selected text and choose "Copy" from the context menu.

Step 4： Open the ChatGPT interface or platform where you want to upload the PDF.

Step 5： Click on the text input box to activate it.

Step 6： Right-click inside the input box and choose "Paste" from the context menu.

Step 7： The copied text from the PDF will be pasted into the input box.

Step 8： Click on the submit or send button to send the text to ChatGPT.

Quick and straightforward: Copying and pasting the text is a simple and fast way to upload PDF content to ChatGPT.

No additional tools or software required: This method can be performed using only a PDF reader and a web browser.

Method 2: Provide a Link to the Content

Step 1： Upload the PDF file to a file hosting or cloud storage service like Dropbox, Google Drive, or OneDrive.

Step 2： Generate a shareable link for the uploaded file.

Step 3： Open the ChatGPT interface or platform.

Step 4： Type a message or prompt to let ChatGPT know that you want to upload a PDF.

Step 5： Insert the shareable link into your message or prompt.

Step 6： Click on the submit or send button to send the message to ChatGPT.

No need to convert or extract text: By providing a link to the PDF file, ChatGPT can directly access the content without requiring any additional steps.

Convenient for large PDF files: Uploading a PDF file to a file hosting service allows you to share even large files without worrying about size limitations.

Method 3: Convert the PDF to a Text File

Step 1： Use a PDF-to-text conversion tool or software. There are several options available, such as Adobe Acrobat, PDFelement, or online converters like Smallpdf or Zamzar.

Step 2： Open the PDF-to-text conversion tool or website.

Step 3： Upload the PDF file using the provided upload button or drag-and-drop feature.

Step 4： Start the conversion process and wait for the tool to extract the text from the PDF.

Step 5： Once the conversion is complete, download the resulting text file.

Step 6： Open the ChatGPT interface or platform.

Step 7： Click on the file upload button, usually represented by a paperclip or file icon.

Step 8： Select the downloaded text file from your computer or device.

Step 9： Click on the submit or send button to upload the text file to ChatGPT.

Increased accuracy: Converting the PDF to a text file allows ChatGPT to analyze and work with the extracted text more effectively.

Retains formatting: By converting the PDF to a text file, you can preserve the original structure of the content, including headings, paragraphs, and bullet points.

Method 4: Third-Party Solutions

Step 1： Search for third-party tools or platforms that specialize in PDF analysis or integration with ChatGPT.

Step 2： Choose a suitable solution based on your needs and requirements. Examples include Rossum's Invoice Robot, Hyperscience, or Docsumo.

Step 3： Follow the instructions provided by the selected third-party solution to upload and process the PDF content.

Step 4： Once the PDF content is processed, you may receive the extracted text or other relevant information.

Step 5： Open the ChatGPT interface or platform.

Step 6： Depending on the third-party solution, you may have different options to integrate the processed PDF content with ChatGPT.

Step 7： Follow the provided instructions to connect ChatGPT with the third-party solution and access the PDF content.

Step 8： Use the integrated features to interact with the PDF content within ChatGPT.

Advanced PDF analysis capabilities: Third-party solutions dedicated to PDF analysis can provide additional features like document understanding, data extraction, or summarization.

Seamless integration: By utilizing third-party solutions, you can seamlessly integrate PDF processing capabilities into ChatGPT without the need for manual conversion or extraction.

Part 4: How to Summarize PDF Files with ChatGPT?

Prerequisites:

Python installed on your computer.

Basic understanding of Python programming.

Install Required Libraries

Ensure that you have the necessary libraries installed by running the following commands in your terminal or command prompt:

1. Import Libraries

In your Python script or Jupyter Notebook, import the required libraries:

2. Load Pretrained Model and Tokenizer

Download and load the pretrained GPT-2 model and tokenizer:

3. Load and Extract Text from PDF

Use the pdfplumber library to load the PDF file and extract the text content:

4. Preprocess and Tokenize the Text

Preprocess the extracted text by removing unnecessary characters and tokenize it using the GPT-2 tokenizer:

5. Generate Summary

Generate the summary using the GPT-2 model:

6. Print or Save the Summary

Print the generated summary or save it to a file, as per your preference:

That's it! You have successfully summarized the PDF file using the pdf chatgpt summarizer and Python. Remember to replace "path_to_pdf_file.pdf" with the actual path to your PDF file.

Part 5：How to Write PDF ChatGPT Prompts?

When writing prompts to analyze various types of PDF documents with ChatGPT, it's important to frame the questions and provide the necessary context. Here are suggested prompts for each scenario along with the corresponding benefits:

1. Analyzing a News Article:

Trouble: "Please analyze the attached news article and provide insights."

Benefit: Gain a deeper understanding of the article's content, identify key points, and extract relevant information. Additionally, the PDF ChatGPT reader extension allows for easy navigation and annotation within the article.

2. Evaluating a Scientific Paper:

Trouble: "Could you evaluate the scientific paper provided and highlight its main findings and contributions?"

Benefit: Obtain a concise summary of the paper's key findings, identify novel research insights, and assess its scientific significance.

3. Analyzing a Legal Document:

Trouble: "I need assistance in analyzing the legal document attached. Please provide a summary and highlight any important clauses or legal implications."

Benefit: Extract essential legal information, identify critical clauses, and gain insights into the document's implications and potential legal consequences.

4. Analyzing a Piece of Literature:

Trouble: "Kindly analyze the attached literature piece and provide a summary along with any notable themes, character analysis, or literary devices used."

Benefit: Obtain a summary of the literature piece, explore underlying themes, analyze character development, and identify literary techniques employed by the author.

Analyzing a Business Report:

Trouble: "Could you analyze the business report provided and extract key insights, trends, and recommendations?"

Benefit: Gain a comprehensive understanding of the report's content, identify important business metrics, detect trends, and obtain actionable recommendations.

5. Analyzing a Tax Return:

Trouble: "Please analyze the attached tax return and provide a summary of the income, deductions, and any potential discrepancies."

Benefit: Gain an overview of the tax return, identify income sources, deductions, and potential red flags that may require further attention or clarification.

6. Analyzing Financial Data:

Trouble: "I would like to analyze the financial data provided. Please extract key financial metrics, trends, and insights."

Benefit: Identify important financial indicators, analyze trends, evaluate financial performance, and obtain insights to support decision-making processes.

7. Analyzing Survey Data:

Trouble: "Kindly analyze the survey data attached and summarize the key findings, trends, and insights from the responses."

Benefit: Extract and summarize survey results, identify patterns, analyze responses, and derive meaningful insights to guide decision-making or research.

8. Analyzing Sales Data:

Trouble: "Could you analyze the sales data provided and identify top-selling products, sales trends, and any notable patterns or anomalies?"

Benefit: Obtain a summary of sales performance, identify high-performing products, detect sales trends, and spot any irregularities that may require further investigation.

9. Analyzing Stock Market Data:

Trouble: "Please analyze the attached stock market data and provide insights into market trends, stock performance, and potential investment opportunities."

Benefit: Analyze stock market trends, assess stock performance, identify investment opportunities, and gain insights to support investment decision-making.

Remember to attach the relevant PDF document when requesting the analysis from ChatGPT, ensuring that it has been properly processed or converted into a readable format.

Part 6: Tips for Writing Prompts

When using PDF ChatGPT, writing effective prompts is crucial to obtain accurate and relevant responses. Here are some tips to consider when crafting prompts:

1. Be specific : Clearly state your request and provide specific details or instructions to guide ChatGPT's response. This helps narrow down the focus and ensures you receive the desired information.

2. Set the context : Provide relevant background information or context to help ChatGPT understand the subject matter. This can include industry-specific terms, recent events, or any necessary context for better comprehension.

3. Ask direct questions : Frame your prompts as direct questions to elicit specific answers. This helps ChatGPT understand what information you are seeking and encourages a more focused response.

4. Define desired output : Clearly specify the type of output or format you expect from PDF ChatGPT. Whether it's a summary, analysis, recommendations, or any other specific requirement, clearly communicate your expectations.

5. Break down complex queries : If you have a complex request, consider breaking it down into smaller, more manageable questions. This helps PDF ChatGPT process and address each component more effectively.

6. Provide examples or templates : If applicable, provide examples or template responses to guide ChatGPT's output. This can help ensure consistency and accuracy in the desired format or structure of the response.

7. Validate responses : If possible, validate the responses provided by PDF ChatGPT against trusted sources or experts. This helps ensure the accuracy and reliability of the information shared.

8. Iterate and refine : Experiment with different prompts and observe the responses to understand how ChatGPT interprets your queries. If the initial response is not satisfactory, refine your prompts by adjusting the wording or providing additional context.

Remember that while ChatGPT can provide helpful information, it's important to critically evaluate and verify the responses, especially for critical or sensitive matters. The quality of the responses may vary, and it's always wise to exercise judgment and consult domain experts when necessary.

Part 7: The Future of PDF Software with ChatGPT

The future of PDF software with ChatGPT holds great potential for enhancing productivity, efficiency, and collaboration in working with PDF documents. Here are some possible developments and benefits to expect:

1. Intelligent Document Analysis : ChatGPT can revolutionize document analysis by providing advanced capabilities to extract, summarize, and analyze information from PDF files by the AI assistant. It can automatically identify key insights, trends, and patterns, saving time and effort in manual analysis.

2. Natural Language Interaction : With the integration of ChatGPT, PDF software can enable natural language interaction, allowing users to ask questions, give commands, and receive intelligent responses. This facilitates a more intuitive and user-friendly experience when working with PDF documents.

3. Contextual Assistance : ChatGPT can act as a virtual assistant within PDF software, offering contextual guidance and suggestions based on the content of the document. It can help users navigate complex documents, locate specific information, or provide relevant resources.

4. Intelligent Document Generation : PDF software enhanced with ChatGPT can assist in generating high-quality documents by automatically suggesting content, providing templates, or even composing sections based on user input. This streamlines the document creation process and ensures consistency.

5. Enhanced Collaboration : ChatGPT can facilitate collaboration by allowing users to leave comments, ask questions, or discuss document content directly within the PDF software. It can also help in resolving conflicts, providing alternative suggestions, and tracking changes within the document.

6. Language Translation and Localization : ChatGPT's language capabilities can be leveraged to provide real-time translation of PDF documents or assist in localization efforts. This can aid in bridging language barriers and facilitating global collaboration.

7. Improved Accessibility : PDF software integrated with ChatGPT can enhance accessibility features by providing text-to-speech capabilities, generating alternative text for images, or assisting in document comprehension for users with visual or cognitive impairments.

8. Customized Workflows : PDF software can leverage ChatGPT to create personalized workflows based on user preferences and needs. By understanding user behavior and patterns, ChatGPT can suggest relevant features, automate repetitive tasks, and streamline document processing.

While these possibilities indicate exciting advancements, it's important to note that they also raise concerns about data privacy, security, and the need for responsible AI usage. Striking the right balance between innovation and ensuring user trust will be crucial in shaping the future of PDF software with ChatGPT.

Part 8: Limitations of ChatGPT for working with business PDF files

When working with business PDF files, it's important to consider the limitations of ChatGPT. Here are some key limitations to be aware of:

1. Lack of Contextual Understanding : PDF ChatGPT operates on a text-based level and lacks a deep understanding of specific business domains or industry jargon. It may struggle with accurately interpreting complex business terms, nuances, or specific document structures commonly found in business PDF files.

2. Limited Knowledge and Training Data : ChatGPT's responses are based on the patterns it has learned from training on a vast amount of text data. However, its knowledge is limited to what was available during its training period, which ended in September 2021. As a result, it may not be up to date with the latest business trends, regulations, or specific industry practices.

3. Inability to Verify Accuracy : PDF ChatGPT cannot independently verify the accuracy of the information it provides. While it can generate responses based on the input and existing knowledge, the information may not always be entirely reliable or error-free. It's important to validate and verify the responses from ChatGPT with trusted sources or subject matter experts.

4. Sensitivity to Input Wording : PDF ChatGPT is sensitive to the phrasing and wording of prompts. A slight change in phrasing or the way a question is asked can lead to different responses. This can be challenging when seeking precise or specific information from business PDF files, as slight variations in prompts may yield varying results.

5. Handling Complex Formatting and Tables : ChatGPT's ability to handle complex formatting, tables, or graphical elements within business PDF files is limited. It primarily processes and generates text-based responses, which may not fully capture the visual or structural aspects of the PDF content.

6. Security and Privacy Concerns : Uploading sensitive business PDF files to external services or platforms for processing with PDF ChatGPT may raise security and privacy concerns. It's essential to ensure data confidentiality and comply with relevant regulations when working with business-sensitive information.

7. Legal and Compliance Considerations : Depending on the jurisdiction and nature of the business PDF files, there may be legal and compliance considerations to take into account. Certain industries or regions have specific regulations regarding data handling, privacy, or the use of AI technologies that need to be adhered to.

While PDF ChatGPT can provide valuable insights and assistance in working with business PDF files, it's crucial to understand its limitations and use it as a tool to augment human expertise and judgment. Combining AI capabilities with human verification and validation can help mitigate these limitations and ensure more accurate and reliable outcomes.

Part 9: WPS PDF AI - Free PDF ChatGPT in WPS Office

With the integration of AI in WPS PDF , users can now enjoy advanced capabilities without the need for additional software downloads. The AI-powered features offered by WPS PDF AI include:

1. AI PDF Reader : The AI PDF Reader uses advanced algorithms to enhance the reading experience and provide a smooth and intuitive interface for navigating through PDF documents.

2. AI PDF Analyzer: This feature employs AI algorithms to analyze the content of PDF documents, making it easier to identify key information, detect patterns, or extract specific data from the files.

3. AI PDF Summarizer : With the AI PDF Summarizer, users can generate summaries of PDF documents within seconds. This can be incredibly useful for quickly grasping the main points and key takeaways from lengthy PDF files.

4. AI PDF Data Extractor : The AI PDF Data Extractor is designed to assist users in finding specific information within PDF documents. It can identify and extract data such as names, addresses, dates, or any other relevant details, saving time and effort when searching for specific content.

These AI-powered features in WPS PDF AI aim to streamline PDF document management, improve productivity, and facilitate efficient information retrieval. Users can make the most of these capabilities by downloading or updating their WPS Office to access a free trial of these advanced PDF functionalities.

Use Word, Excel, and PPT for FREE, No Ads.

Edit PDF files with the powerful PDF toolkit.

Microsoft-like interface. Easy to learn. 100% Compatibility.

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Q1: When and Why is ChatGPT Login Not Working?

Technical issues: Login system problems or server issues may prevent account access. Maintenance, updates, or technical glitches could be the cause.

Incorrect login credentials: Login failures can occur if users enter incorrect usernames or passwords. Verifying and ensuring accurate login information can help resolve this issue.

Account-related problems: Account suspension, limited privileges, or other platform-imposed limitations may exist. Contacting customer support or reviewing platform policies can provide insights.

Compatibility issues: Login problems may result from device, browser, or operating system incompatibilities. Updating the browser, clearing cache/cookies, or using a different device/browser may resolve these issues.

For ChatGPT login issues, refer to the platform's support documentation or contact their customer support for assistance. Solutions may vary depending on the specific platform or service used.

Q2: Does ChatGPT Have an API?

ChatGPT, has provided an API called OpenAI API.

The OpenAI API allows developers to integrate ChatGPT and other OpenAI models into their own applications, products, or services. It provides a programmatic way to interact with the model and generate responses based on user inputs.

To use the OpenAI API, developers sign up for an API key and make API calls using provided endpoints. The API offers customization options like response temperature to control response randomness.

Please refer to the official OpenAI documentation or website for the latest information on the availability and usage of the OpenAI API.

Q3: Can ChatGPT Extract Data from PDF Forms?

Data extraction from PDF forms typically requires specialized tools or techniques that are specifically designed for parsing and extracting structured data from PDF documents. These tools often involve optical character recognition (OCR) technology and data extraction algorithms that can understand and extract data fields from the form.

While ChatGPT with powerful AI assistant can assist in providing general information or guidance on data extraction from PDF forms, it is not the most suitable tool for directly performing the extraction process. For accurate and reliable data extraction from PDF forms, it is recommended to use dedicated software or libraries that are designed specifically for this purpose.

The article also highlights the benefits of using WPS Office for PDF tools. It mentions the ability to convert PDF files to various file formats, including Word, Excel, and PowerPoint, and vice versa. WPS Office also includes features such as PDF editing, form filling, annotation, and password protection.

Overall, the article serves as a comprehensive guide for using PDF ChatGPT and WPS Office for PDF tools . It provides detailed instructions and tips for extracting text, summarizing, analyzing, and translating PDF documents using ChatGPT. It also highlights the benefits of using WPS Office for PDF tools and its various features.

• 1. How to Use Wps AI/Chatgpt to Data Analysis: Guide for Beginners
• 2. How to Use WPS AI/Chatgpt to Write Essays: Guide for Beginners
• 3. How to Use Wps AI/Chatgpt to Summarize Meeting Notes: Guide for Beginners
• 4. How to Use Wps AI/Chatgpt to Summarize Business Proposals: Guide for Beginners
• 5. How to Use Wps AI/Chatgpt to Write Technical Document: Guide for Beginners
• 6. How to Use Wps AI/Chatgpt to Generate Charts A Comprehensive Guide for Beginners

15 years of office industry experience, tech lover and copywriter. Follow me for product reviews, comparisons, and recommendations for new apps and software.

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GitHub Action

Chatgpt codereviewer.

A Code Review Action Powered By ChatGPT

Installation

Copy and paste the following snippet into your .yml file.

- name: ChatGPT CodeReviewer

uses: anc95/[email protected]

Choose a version

• v1.0.5 v1.0.5
• v1.0.4 v1.0.4
• v1.0.3 v1.0.3
• v1.0.2 v1.0.2
• v1.0.13 v1.0.13
• v1.0.12 v1.0.12

CodeReview BOT

A code review robot powered by ChatGPT

Translation Versions: ENGLISH | 简体中文 | 繁體中文 | 한국어 | 日本語

❗️ ⚠️ Due to cost considerations, BOT is only used for testing purposes and is currently deployed on AWS Lambda with ratelimit restrictions. Therefore, unstable situations are completely normal. It is recommended to deploy an app by yourself.

Install: apps/cr-gpt ;

Configuration

• Go to the repo homepage which you want integrate this bot
• click settings
• click actions under secrets and variables

Start using

• The robot will automatically do the code review when you create a new Pull request, the review information will show in the pr timeline / file changes part.
• After git push update the pull request, cr bot will re-review the changed files

ChatGPT-CodeReview/pull/21

Using Github Actions

actions/chatgpt-codereviewer

• add the OPENAI_API_KEY to your github actions secrets
• create .github/workflows/cr.yml add bellow content

Self-hosting

• copy .env.example to .env , and fill the env variables
• install deps and run

probot for more detail

Contributing

If you have suggestions for how cr-bot could be improved, or want to report a bug, open an issue! We'd love all and any contributions.

For more, check out the Contributing Guide .

this project is inpired by codereview.gpt

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