Writing and building practical AI systems focused on evaluation, alignment, ML infrastructure, search, and recommendation.
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A practical guide to designing and implementing AI evaluation systems grounded in seminal research.
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- Reliable evaluation systems for modern AI applications.
- Agents, LLM systems, and practical ML infrastructure.
- Search, recommendation, and machine learning systems in production.
- Book: Evaluation and Alignment: The Seminal Papers
- Blog: Full Stack Machine Learning
- Current interest: Building AI systems that are measurable, reliable, and useful.
- I've been building machine learning systems since 10 B.C. (Before ChatGPT).
- I like turning research ideas into production systems.
- I'm especially interested in the parts of AI that have to work outside of demos.