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How LLMs Work: Tokens, Embeddings, Attention, and Transformers
A planned lesson connecting tokenization, embeddings, attention, transformer layers, and generated output into one coherent technical mental model.
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AI & LLMs
Language models, agents, retrieval, memory, tools, and guardrails.
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Planned lessons
These lesson records contain reviewed curriculum metadata only. No playable media is included.
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AI Agents Explained: Tools, Memory, RAG, and Guardrails
A planned lesson describing agent loops, tool use, memory, retrieval-augmented generation, and guardrails as distinct system responsibilities.
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