March 2025
Intermediate to advanced
320 pages
8h 31m
English
book
Engineering AI Systems: Architecture and DevOps Essentials
by Len Bass, Qinghua Lu, Ingo Weber, Liming Zhu
Content preview from Engineering AI Systems: Architecture and DevOps Essentials
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3
AI Background
All [AI] models are wrong, but some are useful.
—George Box
. . . particularly LLMs.
—Ingo Weber
IN THIS CHAPTER, we introduce the foundational concepts of AI, with a particular emphasis on model selection and preparation required for training these models.
Models are ubiquitous in both science and engineering. But, as George Box noted, they are always inaccurate. The inaccuracy stems from the abstraction embodied in a model. Many details are not included in any model, and this lack of detail both facilitates reasoning about the behavior of the entity being modeled and serves as a cause of error. In an AI system, the choice of the AI techniques is one of the most important design decisions. It has a major influence on the quality ...
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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.