Asking a Large Language Model How YouTube Works
Read OriginalThis article details a technical experiment where the author uses OpenOrca's Platypus2 13B LLM, integrated via LangChain and pgvector in PostgreSQL, to ask questions and analyze Google's Procella paper about YouTube's database architecture. It includes step-by-step setup instructions for the environment, tools, and dependencies required to run the LLM and perform vector similarity searches on the technical document.
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