Evals for AI Engineers. Systematically Measuring and Improving AI Applications Shreya Shankar, Hamel Husain
- Autorzy:
- Shreya Shankar, Hamel Husain
- Wydawnictwo:
- O'Reilly Media
- Ocena:
- Stron:
- 240
- Dostępne formaty:
-
ePubMobi
Opis
książki
:
Evals for AI Engineers. Systematically Measuring and Improving AI Applications
Stop using guesswork to find out how your AI applications are performing. Evals for AI Engineers gives you a practical framework for systematically testing, measuring, and improving AI applications, especially those built with LLMs. Written by Shreya Shankar and Hamel Husain, AI engineers with extensive experience across 35+ AI products and cutting-edge research, this book focuses on the techniques teams actually need to build reliable AI systems in production.
Ideal for software engineers, technical product managers, and technical leads, this hands-on guide shows you how to build an evaluation process that improves alongside your product.
- Find and prioritize failures through systematic error analysis and representative test sets
- Build trustworthy evaluations using code based checks, LLM judges, human feedback, and synthetic data
- Improve production systems over time by monitoring regressions and optimizing quality, latency, and cost
Szczegóły książki
- ISBN Ebooka:
- 979-83-416-6069-4, 9798341660694
- Data wydania ebooka :
-
2026-10-12
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- Język publikacji:
- angielski
- Rozmiar pliku ePub:
- 5.8MB
- Rozmiar pliku Mobi:
- 5.8MB
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