September 2024
Intermediate to advanced
298 pages
8h 12m
English
book
Building AI Intensive Python Applications
by Rachelle Palmer, Ben Perlmutter, Ashwin Gangadhar, Nicholas Larew, Sigfrido Narváez, Thomas Rueckstiess, Henry Weller, Richmond Alake, Shubham Ranjan
Content preview from Building AI Intensive Python Applications
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Part 3
Optimizing AI Applications: Scaling, Fine-Tuning, Troubleshooting, Monitoring, and Analytics
This set of chapters shares techniques and practices for evaluating your AI application as well as strategies and expert insights for improving your application, avoiding pitfalls, and ensuring that your application continues to function optimally despite rapid technological changes.
This part of the book includes the following chapters:
- Chapter 9, LLM Output Evaluation
- Chapter 10, Refining the Semantic Data Model to Improve Accuracy
- Chapter 11, Common Failures of Generative AI
- Chapter 12, Correcting and Optimizing Your Generative AI Application
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
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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.