Summarize Articles: Free AI tools for Research Paper Understanding
TLDRThis video introduces two free AI tools, 'Size.Space' and 'Explain Paper', that simplify the process of reading and understanding academic papers without the need for subscription fees. 'Size.Space' offers features like literature review, data extraction, and AI co-pilot reading, while 'Explain Paper' provides unlimited text explanations to aid comprehension. Both tools are praised for their ease of use and ability to save time by summarizing and clarifying complex research content.
Takeaways
- πΈ Many AI tools for reading academic papers require a subscription, which can be costly.
- π Two free AI tools are Size.Space and ExplainPaper, which help in understanding academic papers without a subscription.
- π Size.Space offers a dashboard with features like literature review, data extraction from PDFs, AI co-pilot reading, and paraphrasing.
- π Size.Space's 'Extract Data from PDFs' feature allows users to upload a PDF and receive a summarized abstract and conclusions.
- π€ The AI co-pilot in Size.Space can answer questions, provide explanations, and help with understanding highlighted text in a paper.
- π ExplainPaper works similarly to the co-pilot in Size.Space, offering explanations and follow-up questions for free.
- π When using ExplainPaper, users can adjust the level of explanation complexity to match their understanding, from a middle schooler to an expert.
- π Both tools allow users to highlight and interact with text, making it easier to digest complex academic content.
- π Size.Space has limitations on usage, but the speaker has not encountered issues with the library becoming too full.
- π For a deeper understanding, start with the abstract, skim the paper, and use the co-pilot or ExplainPaper for sections that need clarification.
- π Currently, both Size.Space and ExplainPaper are free, but users should be aware that this may change as businesses often seek monetization.
Q & A
What is the main issue discussed in the transcript regarding AI tools for reading academic papers?
-The main issue discussed is the cost associated with many AI tools that claim to help with reading academic papers, which often require a subscription or payment, making them inaccessible for some users.
What are the two free AI tools for reading academic papers mentioned in the transcript?
-The two free AI tools mentioned are 'Size.Space' and 'Explain Paper', which offer features like summarizing papers, extracting data from PDFs, and providing explanations for highlighted text.
What feature of Size.Space does the transcript highlight as particularly useful?
-The transcript highlights the 'Extract data from PDFs' feature of Size.Space, which allows users to upload a PDF and receive a summary and conclusions.
How does the AI co-pilot feature in Size.Space assist users in understanding academic papers?
-The AI co-pilot feature allows users to upload a paper, highlight sections they want to understand better, and then ask the AI to summarize, explain, or provide related papers, helping to clarify complex information.
What is the purpose of the 'Read with AI co-pilot' feature in Size.Space?
-The purpose of the 'Read with AI co-pilot' feature is to provide users with a way to interact with the text of an academic paper, asking questions and getting explanations to better understand the content.
What does the transcript suggest as a starting point for reading an academic paper using the AI co-pilot?
-The transcript suggests starting with the abstract of the paper and then skimming the document, highlighting sections that are unclear, and using the AI co-pilot to get explanations for those sections.
How does Explain Paper differ from Size.Space in terms of functionality?
-Explain Paper offers similar functionalities to the co-pilot in Size.Space, such as providing explanations for highlighted text, but it does not include additional features like data extraction from PDFs or paraphrasing.
What is the advantage of using Explain Paper over Size.Space if a user runs out of credits in Size.Space?
-Explain Paper is completely free and offers unlimited explanations, making it a useful alternative when a user has exhausted their credits in Size.Space.
How does the transcript describe the process of using Explain Paper to understand an academic paper?
-The transcript describes the process as starting with skimming the abstract, highlighting sections for explanation, and then asking Explain Paper to provide a simplified explanation suitable for the user's comprehension level.
What is the importance of summarizing academic papers according to the transcript?
-Summarizing academic papers is important as it saves time and allows users to quickly grasp the key points of a paper without having to read the entire document.
What additional resources does the transcript mention for those interested in further learning about academic papers and AI tools?
-The transcript mentions an 'effus Academia course' with downloadable resources and book recommendations, and a video discussing the potential end of traditional academic papers due to AI tools.
Outlines
π Frustrations with Subscription-based AI Academic Tools
The speaker expresses frustration with the cost of AI tools for reading academic papers, mentioning several services with their subscription fees. They critique the complexity of some services and the high costs, which they find excessive. The speaker then introduces two free AI tools, Size.Space and Explain Paper, which they use for summarizing and understanding academic papers without a subscription.
π Introducing Size.Space and Explain Paper for Academic Reading
The speaker provides a detailed walkthrough of using Size.Space, highlighting its features such as literature review, data extraction from PDFs, AI co-pilot reading, and paraphrasing. They demonstrate uploading a PDF and using the 'too long; didn't read' summary feature, as well as the AI co-pilot for explanations and follow-up questions. The speaker also introduces Explain Paper, emphasizing its free, unlimited explanations and the ability to ask questions in context. They suggest starting with abstracts and skimming, then using these tools for deeper understanding, and conclude by recommending these tools for saving time and simplifying academic reading.
Mindmap
Keywords
π‘AI tools
π‘Subscription
π‘Academic papers
π‘Literature review
π‘Data extraction
π‘AI co-pilot
π‘Paraphrasing
π‘Summarization
π‘Explain Paper
π‘Abstract
π‘Follow-up questions
Highlights
Reading academic papers can be a daunting task, but there are AI tools available to assist.
Many AI tools for reading papers require a subscription fee, which can be prohibitive.
OpenReads, ChatPDF, Humata, Lateral, Paperbrain, and Unriddle are mentioned as subscription-based tools.
The speaker introduces two free AI tools for academic paper reading: Size.Space and ExplainPaper.
Size.Space offers a dashboard with various features including literature review and data extraction from PDFs.
Size.Space's 'Extract Data from PDFs' feature allows users to upload a paper for quick summarization.
AI Co-Pilot in Size.Space helps in reading papers by answering questions and providing explanations.
The speaker recommends starting with the abstract and skimming the paper, then using AI Co-Pilot for unclear sections.
ExplainPaper offers free, unlimited explanations and follow-up questions on highlighted text.
ExplainPaper simplifies complex academic language to make it understandable for different levels of expertise.
Both Size.Space and ExplainPaper provide an efficient way to summarize and understand academic papers without a subscription.
The speaker emphasizes the importance of using these tools for quick summaries and deeper dives into papers.
The video also discusses the potential end of traditional academic papers due to the development of AI tools.
The speaker provides a course link in the description for further academic reading assistance.
The video concludes with a call to action to check out the mentioned tools for free academic paper reading.
There is mention of a potential change in the availability of these free tools due to monetization strategies.
The speaker suggests that these tools can save hours of reading time by simplifying and summarizing academic content.
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