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This book teaches engineers how to build reliable evaluation systems for small and locally deployed language models. You will learn to measure performance accurately, compare models across hardware and runtimes, interpret results without being misled by benchmarks, and make evidence-based deployment decisions for real-world workloads. The guide combines rigorous experimental methodology with example code so you can independently establish an evaluation laboratory and produce trustworthy, reproducible results.

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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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