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Master AI reliability: Test, measure, and enhance your AI applications systematically.
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Evals for AI Engineers

$169.36

  • Paperback

    225 pages

  • Release Date

    31 October 2026

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Summary

Stop using guesswork to find out how your AI applications are performing. Evals for AI Engineers equips you with the proven tools and processes required to systematically test, measure, and enhance the reliability of AI applications, especially those using LLMs. Written by AI engineers with extensive experience in real-world consulting (across 35+ AI products) and cutting-edge research, this practical resource will help you move from assumptions to robust, data-driven evaluation.

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Book Details

ISBN-13:9798341660724
Author:Shreya Shankar, Hamel Husain
Publisher:O'Reilly Media
Imprint:O'Reilly Media
Format:Paperback
Number of Pages:225
Release Date:31 October 2026
Dimensions:178mm x 232mm
A-Format
B-Format
Evals for AI Engineers by Shreya Shankar - ISBN: 9798341660724
178 × 232 mm
C-Format
A4
mm / in
About The Author

Shreya Shankar

Shreya Shankar is an ML Systems Researcher and PhD candidate at UC Berkeley. Her focus is on practical tools for building reliable ML systems, particularly in LLM evaluation and data quality. Her research, including work on aligning LLM evaluations with human preferences (“Who Validates the Validators?”), has been published in top venues and deployed in production environments.

Hamel Husain is a Machine Learning Engineer with 20 years’ experience, including roles at companies like Airbnb and GitHub where he contributed to early LLM research and led popular open-source ML tools. Currently an independent consultant, Hamel has extensive hands-on experience helping numerous companies build and evaluate real-world AI products.

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