Evals for AI Engineers
$169.36
- Paperback
225 pages
- Release Date
31 October 2026
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 |

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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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