June 2025
Intermediate to advanced
338 pages
9h 17m
English
Content preview from Kubernetes for Generative AI Solutions
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4
GenAI Model Optimization for Domain-Specific Use Cases
This chapter will start building on the basic concepts of GenAI that were introduced in Part 1 and cover options for optimizing general-purpose foundational models (FMs) for domain-specific use cases, such as chatbots and personalized recommendations. We will explore specific techniques, including retrieval-augmented generation (RAG) and fine-tuning methods, offering an in-depth understanding of how these approaches can be used to enhance model performance for targeted applications. Additionally, we will focus on the key concepts and functionalities of the Transformer architecture and the LangChain framework so that we can implement these techniques in K8s in the next chapter.
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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.