The catalog
3 books, the most recent release first.
How a language model works, built one part at a time: next-word prediction, tokens, embeddings, a neural model, attention and the transformer, training a small model on a CPU, choosing words, what an open model holds inside, and how instruction tuning changes it.
Edition 2026.10.4 · Examples passed Oct 25, 2026 · 86 of 86 examples pass
How search engines find and rank results, and how to measure whether a change helps: lexical, semantic and hybrid retrieval, reranking with learned models and LLMs, and judgments from people and LLMs, on a real product catalog.
Edition 2026.10.5 · Examples passed Oct 25, 2026 · 132 of 132 examples pass
Governing a data platform with code that runs in CI: a catalog where every table has an owner and every column a classification, personal data found automatically, lineage from pipelines, access policies as tested Rego enforced as row filters and column masks, retention, consent and erasure that remove data, an audit trail, and the same rules for data that trains or grounds AI.
Edition 2026.10.1 · Examples passed Oct 23, 2026 · 108 of 108 examples pass
