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Configured GPT to analyze research documents and make researchers' lives easier

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Research GPT

Idea: an AI system using OpenAI API to help process primary source research documents to make preliminary research easier for research projects

Features:

  • Be able to provide information on a specific research topic given a query
  • Provide information on specific research papers given the link

Steps in pipeline:

  • First fetch the text given by the query and find the first top matching research documents
  • Extract the text
  • For research paper summary: run a total summary or a summary on each section of the paper
  • For general topic summary: fetch the documents for the query and run a summary on the abstracts and methods

Technologies Required:

  • Selenium - for browser automation searching
  • Frontend: Next.js
  • Selenium worker: go
  • OpenAI API: express or fastapi

OpenAI API Prompts:

  • Best way to set up as fetching the link, sending the text to OpenAI (chunking if required or separate sections)
  • When checking for general topic: send text and ask for summary in each (bullet point based)
    • Requires some experimentation with the prompts

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Configured GPT to analyze research documents and make researchers' lives easier

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