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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Preface
YOU ARE THE TECHNICAL LEAD of the next generation of your organization’s flagship system and you just came out of a strategy meeting. “The system must be artificial intelligence (AI) based” was a clear message from that meeting. Additionally, someone suggested that it be based on a foundation model (FM).
You were already uncomfortable with the responsibility of being technical lead for the next-gen version. Building software systems that do not rely on AI is already difficult. Now you are being asked to add a technology with which you are unfamiliar. Not to worry—this book is for you. We have three chapters that deal with AI techniques and one specifically on FMs.
Your next thought is that you should add someone to the team who is familiar ...
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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.