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Karpathy's LLM Wiki needs new 'mine' operation for deeper expertise

By PulseAugur Editorial · [1 sources] ·

Andrej Karpathy's LLM Wiki framework, while effective at storing declarative knowledge (facts and definitions), has limitations in capturing deeper forms of expertise. The author argues that true expertise involves not just knowing facts, but also understanding reasoning paths, practical execution with mistakes, and interactive guidance strategies. By analyzing tutoring sessions and psychological research, the author identifies four types of knowledge: declarative, procedural, experiential, and interactional. The current LLM Wiki primarily stores declarative knowledge, necessitating a new 'mine' operation to extract the other three crucial types of knowledge related to decision-making and guidance. AI

IMPACT Highlights the limitations of current LLM knowledge representation and suggests a path toward more sophisticated AI reasoning and guidance capabilities.

RANK_REASON The item is an opinion piece by a credible voice (Andrej Karpathy) analyzing a framework and proposing improvements.

Read on dev.to — LLM tag →

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

Karpathy's LLM Wiki needs new 'mine' operation for deeper expertise

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The item is an opinion piece by a credible voice (Andrej Karpathy) analyzing a framework and proposing improvements.
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · blaze ·

    A Four-Type Framework for LLM Wiki by karpathy

    <h1> Why Knowledge Alone Doesn't Create Judgment </h1> <p>Karpathy's LLM Wiki is brilliant. You dump raw material in, an LLM extracts concepts and links them together, and you get a personal knowledge base that actually works.</p> <p>I built one. 100+ pages. It's great.</p> <p>Bu…

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