Browse by topic

Every note belongs to a category. Pick one to see its full list of chapters in the order they were written — or pick across every note at once →.

Storage formats, streaming, object stores, relational databases.

Data preparation, forecasting models, deep learning, foundation models, evaluation, maintenance.

Transformer architecture, the generation loop, prompt engineering, structured outputs, agent patterns.

Embeddings, vector databases, sparse and hybrid retrieval, chunking, reranking, and the search lineage from BoW to E5.

Endogeneity, IV, RDD, panel data, causal ML.