AI Engineering
Retrieval, LLM features, and the evaluation that keeps them honest.
What this covers
RAG pipelines
LLM features in existing products
Evaluation harnesses
Cost control, caching and fallbacks
Related past works
Related articles
- How much it costs to run AI in your app
- AI hallucination: why your AI makes things up, and how to cut it down
- How to get an AI chatbot that answers from your company's documents
- How to know if your AI feature gives the right answers
- My first RAG, part 2: I built generation. One endpoint sang. The other lied about people needing the bathroom.
- My first RAG
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