Do hours of Research Literature review in minutes using AI tool (PART 2): Fast Citations, References
TLDRThis video demonstrates how to rapidly generate a literature review using AI tools, showcasing a 5,000-word review completed in a week. The process involves using sspace to gather over 30 articles from databases like Science Direct and Semantic Scholar, then utilizing Chat GPT to write the review with accurate citations and references. The tutorial covers installing necessary tools, gathering articles, and training Chat GPT to write a literature review with correct citations, ensuring an ethical and efficient research paper production method.
Takeaways
- 📚 Utilize AI tools to rapidly generate literature reviews by gathering and analyzing research articles.
- 🔍 Employ databases like ScienceDirect, Semantic Scholar, and others for comprehensive article collection.
- 🤖 Integrate SSpace and Chat GPT for reading articles and writing the literature review with accurate citations.
- 📝 Use Mlay as a reference manager to organize and cite sources effectively within the literature review.
- 🛠️ Install necessary tools like Mlay's Chrome plugin and Word plugin for seamless article management and citation.
- 🔗 Ensure all citations and references are correctly formatted to maintain academic integrity.
- 📈 Paraphrase the generated content to avoid plagiarism and pass AI detection with the help of AI tools.
- 📝 Save articles and abstracts in a systematic way to train Chat GPT for writing the literature review.
- 📁 Organize collected data into folders or categories for easy access and reference during the writing process.
- 📝 Provide clear instructions to Chat GPT, including the research topic and the command to start writing.
- 📑 Use Mlay Word plugin to add bibliography and fine-tune citations in the final document.
Q & A
What is the main topic of the literature review generated by the AI tool?
-The main topic of the literature review is 'Optimizing for the Future: Strategies for Improving Energy Efficiency in Supercomputing Architectures'.
How many articles were gathered for the literature review?
-Over 30 articles were gathered using various free research article databases for the literature review.
What AI tool was used to write the literature review?
-Chat GPT was used to write the literature review, incorporating citations and references provided by the user.
What is the role of the mlay reference manager in this process?
-The mlay reference manager is used to manage, organize, and cite the gathered articles and resources accurately within the literature review.
How does the mlay Chrome plugin assist in the research process?
-The mlay Chrome plugin helps in downloading articles from various research databases and adding them to the mlay reference manager for citation purposes.
What are the steps to install the mlay reference manager and its plugins?
-The steps include downloading the reference manager from its website, installing the extension by following on-screen prompts, creating an account, and signing in to use the tool.
How does the user ensure the literature review is plagiarism-free and not flagged by AI detectors?
-The user ensures this by using the gathered data and articles to train Chat GPT, paraphrasing the content, and using mlay to add correct citations and bibliography.
What is the significance of saving articles and their abstracts in a notebook?
-Saving articles and their abstracts in a notebook helps in training the AI to write the literature review by providing relevant data and references for the topic.
How does the user train Chat GPT to write the literature review?
-The user trains Chat GPT by uploading the saved references, notes from sspace, and information from the Word document, instructing it to write according to the given topic and references.
What is the final step in the process after the literature review is written?
-The final step is to fine-tune the document using the mlay Word plugin to add correct citations and bibliography, ensuring the document is well-organized and plagiarism-free.
How can the user expand the document to include more paragraphs and reach a desired word count?
-The user can instruct Chat GPT to expound more on each section with at least two more paragraphs, using the provided references and citations, to achieve the desired length.
Outlines
📚 Rapid Literature Review Generation
This paragraph details a method for swiftly creating a literature review of over 5,000 words within a week. The process involves collecting more than 30 articles from databases like Science Direct and Semantic Scholar using the tool S-Space. It then describes how to use Chat GPT to draft the article, incorporating citations from the gathered resources. The author emphasizes the accuracy of the references and the ability to paraphrase the content to avoid plagiarism detection. The paragraph concludes with a brief guide on installing necessary tools like M-Lay, a reference manager, and Chrome and Word plugins for article management.
🔍 Comprehensive Article Data Collection
The second paragraph focuses on the data collection phase for the literature review. It explains how to use M-Lay's web importer to download articles and add them to the reference manager. The process includes using S-Space to find relevant articles, saving abstracts, and training Chat GPT with the gathered data. The author provides instructions for searching additional articles on platforms like Science Direct and Semantic Scholar, and emphasizes the importance of saving articles and abstracts for use in training Chat GPT to write the literature review with proper citations.
📝 Writing and Citing with AI Assistance
The final paragraph outlines the steps to instruct Chat GPT to write the literature review based on the collected data. It describes how to provide Chat G PT with a command to start writing, ensuring that the AI uses the provided references and citations. The author guides on how to expand the document by asking Chat GPT to add more paragraphs and details. The paragraph concludes with instructions on fine-tuning the document using the M-Lay Word plugin to correct citations and add a bibliography, resulting in a well-structured and properly cited literature review.
Mindmap
Keywords
💡AI tool
💡Literature review
💡Citations
💡References
💡Plagiarism
💡Paraphrase
💡MLay
💡SSpace
💡ScienceDirect and Semantic Scholar
💡Bibliography
💡Chat GPT
Highlights
AI tool can generate literature reviews of over 5,000 words in one week.
Over 30 articles were gathered using databases like Science Direct and Semantic Scholar.
Chat GPT was used to write the article and add citations with the help of user-provided resources.
The entire paper is written by Chat GPT with accurate references and citations.
The method allows for ethical writing of literature reviews with correct citations 20 times faster.
Free paraphrasing ensures the paper won't be flagged by AI detectors or plagiarism checkers.
M-Lay reference manager and Chrome plugin are used for downloading and organizing articles.
M-Lay Word plugin and S-Space are essential tools for the process.
Installation of the necessary tools takes no more than 2 minutes.
Creating accounts for the tools is straightforward and user-friendly.
S-Space is used to find top articles and summaries related to the research topic.
Articles are saved to a notebook for training AI to write the best article.
M-Lay web importer is used to download articles for citations and training Chat GPT.
Gathering data from various sources is crucial for feeding into Chat GPT to generate a perfect article.
Chat GPT is trained with gathered data to write a literature review following the references.
The process includes writing, modifying, and proceeding with each paragraph as per user command.
The final document is fine-tuned using the M-Lay Word plugin for perfect citations and bibliography.
The literature review is completed in a few days, ensuring perfection and adherence to citation rules.
A solution for making the paper plagiarism-free and avoiding AI detection will be provided in the next video.
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