I'm building an AI assistant that will *actually* be useful. This video covers the ArXiv paper scraping component, using a graph approach where each paper's references become "children" in the graph. We actually use LLMs (OpenAI's text-davinci-003 in this case) to transform the messy references into a clean format that we then use in a Google search and extract paper information from.
We're currently focusing on the AI assistant's ArXiv "researcher" component. The idea here is to have a literal research assistant to help me research ideas and the latest in LLMs, AI, NLP, vector search, etc
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https://github.com/aurelio-labs/arxiv-bot
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