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A practical guide to building AI products end-to-end. You'll learn how to choose models based on product constraints, decide when fine-tuning is worth it, evaluate with real metrics, and build an agent that works in production. This project is in progress; chapters and code will land in stages.
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add section 1.6: failure modes and mitigation strategies
8bb7332View on GitHubexpand RA examples in ch1-2 (constraints, landscape, baseline sweep)
a4daf02View on GitHub