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// QUANTITATIVE RESEARCH · AI · MARKETS

Signal from noise.

Notes on AI, quantitative trading and financial technology — written from the trenches, not the sidelines.

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2026.07.30 // LLM FOR DUMMIES // 9 MIN

LLM for Dummies #3 — Attention: How Words Learn to Look at Each Other

Parts 1 and 2 turned text into lonely points in space. Attention is the mechanism that lets every token look at every other token and decide whom to listen to — the idea the Transformer is named after, and the reason long context windows cost quadratic money.

2026.07.26 // LLM FOR DUMMIES // 8 MIN

LLM for Dummies #2 — Embeddings: Meaning Is a Place, Not a Definition

Part 1 left us with a list of opaque numbers. Now the magic starts: every token becomes a point in a space with thousands of dimensions, where distance is similarity and directions are concepts. This is the idea powering semantic search, recommendations, RAG — and the input layer of every LLM.

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