AI
Notes and how-tos on building with LLMs — prompting, agents, retrieval, and evaluation. Written to help other engineers ship AI features that hold up in production.
33 articles
RAG is not one technique. It is a design space, and this is the map of it.
Retrieval-augmented generation started as a single idea and turned into a whole family of designs. This is the opening map: naive RAG, the advanced pre- and post-retrieval tricks, the modular mindset, and the five axes every variant moves along. It anchors a five-part series that walks every kind of RAG.
A working engineer's primer on the prompt patterns that actually move accuracy in production LLM systems: system-prompt structure, few-shot, chain-of-thought, structured output, and the anti-patterns that quietly hurt.
A short, intuitive take on Root Mean Squared Error, why squaring makes it punish large misses harder than small ones, and how to read it when judging a regression model.
