September 2026
Intermediate
216 pages
5h 33m
English
Content preview from AI Evals in Practice
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Preface
In early 2024, I shipped my first LLM-powered feature to production. It was a summarization pipeline for customer support tickets — straightforward, well-scoped, and impressively effective during development. Within 72 hours of deployment, it had hallucinated a refund policy that did not exist, misattributed a complaint to the wrong product category, and confidently summarized a Spanish-language ticket in English while inventing details that appeared nowhere in the original text.
I had extensive monitoring. Latency dashboards, token-usage graphs, error-rate alerts — the full observability stack. Everything looked green. The system was fast, available, and cheap to run. It was also producing wrong outputs that nobody caught until a support ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.