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Karpathy's LLM-wiki aims to structure agent knowledge beyond RAG

Andrej Karpathy's LLM-wiki project is a valuable step towards providing structured knowledge for AI agents, moving beyond simple Retrieval-Augmented Generation (RAG). However, the current markdown format lacks enforcement, potentially leading to ambiguity in the structured data that agents rely on. AI

IMPACT Highlights the need for robust knowledge structuring for AI agents, suggesting current methods like markdown may be insufficient.

RANK_REASON The item is a social media post discussing a concept related to AI agents and knowledge structuring, referencing a project by a known figure in the field.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Karpathy's LLM-wiki aims to structure agent knowledge beyond RAG

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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · smeldr ·

    Agents need structured knowledge, not raw RAG. Karpathy's LLM-wiki is a good start. But markdown has no enforcement. What happens when the structure is ambiguou

    Agents need structured knowledge, not raw RAG. Karpathy's LLM-wiki is a good start. But markdown has no enforcement. What happens when the structure is ambiguous? # ai # selfhosting # eutech # llm # agents