June 2025
Intermediate to advanced
338 pages
9h 17m
English
Content preview from Kubernetes for Generative AI Solutions
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GenAIOps: Data Management and the GenAI Automation Pipeline
Generative AI operations (GenAIOps) refers to the set of tools, practices, and workflows designed to deploy, monitor, and optimize a generative AI model through its life cycle. Like MLOps for traditional machine learning (ML) models, GenAIOps focuses on the unique challenges posed by generative AI systems such as foundational models (FMs), large language models (LLMs), and diffusion models. In this chapter, we will cover the key concepts of GenAIOps, such as creating automated data pipelines, data gathering, cleansing, model training, and validation and deployment strategies, along with ongoing monitoring and maintenance. We will also cover topics such as data privacy and model bias, ...
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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.
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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.