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This book is a comprehensive guide to evaluation engineering for artificial intelligence systems, written for machine learning engineers and AI practitioners who need to build trustworthy, production-ready AI applications. You will learn how to design rigorous evaluations, choose appropriate metrics, run statistically sound model comparisons, detect regressions before they reach users, evaluate agents and retrieval-augmented systems, test for safety and robustness, and build scalable evaluation infrastructure that integrates into your development pipeline. Every concept is explained with real-world examples, annotated Python code using modern frameworks, case studies from industry, and guidance drawn from the latest research. By the end, you will have a complete mental model of evaluation engineering as a first-class discipline and the practical skills to implement it in your own systems.

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Kick off your book project, get started with GhostAI, get better at marketing, or spend the day doing all three! Free live workshops on Zoom. Saturday, June 27, 2026.

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