🤖 Hands-On Large Language Models

Reverse-engineered from the book's free GitHub repo — read the chapter, turn it into a "small blackboard" slide deck, then quiz on it. No GPU required for now; the code panels use small original Python snippets that run right in the browser.

Roadmap: language models to prompting to embeddings/search to RAG to agents/MCP

The track's roadmap — every chapter opens with this image, moving the "you are here" marker.

📖 Source: Hands-On Large Language Models (Alammar & Grootendorst). Local repo clone at ~/workplace/personal/Hands-On-Large-Language-Models.

🖤 Each chapter opens with a blackboard slide deck (Back/Next navigation, one idea per page) before the quiz — see ai-02/course-goals.txt for the AI image-prompt template this whole track follows.

Chapters 📖

🧠 ai-02 Ch.1 — Introduction to Language Models

🔢 ai-03 Ch.2 — Tokens & Token Embeddings

✍️ ai-04 Ch.6 — Prompt Engineering

🔍 ai-05 Ch.8 — Semantic Search & RAG

🤖 ai-06 NEW Ch.7 — Chains, Memory & Agents