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Papers GPT

If you're interested in learning how to use GPT to answer questions about a variety of data sources (such as scientific papers, Google Docs, GitHub repositories, etc.), you might want to check out the PapersGPT demo created by Jesse Zhang. PapersGPT is a web application that allows you to connect to a data source on…


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What is Papers GPT?

Jesse Zhang is a software program engineer and entrepreneur who based Lowkey, a gaming startup acquired by Niantic in 2021. He now works on Niantic's social crew and is concerned in some funding by means of Sequoia Scouts and Neo. He has a background in engineering (primarily networking and machine studying) and arithmetic, and studied pc science at Harvard College. He additionally enjoys enjoying basketball, tennis, board video games, and video video games (he defeated The Grandmaster in Teamfight Ways). He additionally wrote a query on AMC 10 in 2021. He has a private web site the place he showcases a few of his cool initiatives and experiments with numerous applied sciences. On this weblog publish, I will offer you a short overview of how PapersGPT works and what sorts of questions you possibly can ask it. I will additionally present you some examples of knowledge sources and solutions that PapersGPT can generate. If you need to be taught extra about PapersGPT or Jesse Zhang, you possibly can go to his web site at or observe him on Twitter @thejessezhang.


It is a demonstration of feeding various data sources into GPT to enable it to access deeply customized knowledge. It supports different types of data such as scientific papers, Google Docs, GitHub repositories, etc. It features a terminal-themed Q&A interface that allows users to ask questions about data sources and get answers from GPT. This is a creative and educational project that demonstrates the potential of GPT and natural language processing.


It requires users to have their own OpenAI API key, which may not be easy or affordable for everyone. It may not answer all questions accurately or comprehensively, depending on the quality and quantity of data sources and the limitations of GPT. If users enter sensitive or copyrighted data into GPT and share the answers publicly, it may bring some ethical or legal issues. Due to the design and layout of the interface, it may not work properly on mobile devices or smaller screens.