June 2026
Intermediate to advanced
454 pages
10h 8m
English
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11
Bulletproof Testing and Debugging Strategies
The previous chapter explored data management in AI applications, covering database selection, efficient storage strategies, and privacy. We analyzed SQL and NoSQL options, modeling techniques, and optimized data access for performance and scalability.
This chapter will guide you in understanding the critical importance of robust testing and debugging strategies in the development of AI-powered applications. We'll explore foundational testing principles, specific techniques for validating AI features, and end-to-end testing for complex AI-driven workflows. Finally, we'll examine how to identify and mitigate risks by testing edge cases and failure scenarios, ensuring your AI applications are resilient ...
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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.