April 2024
Intermediate to advanced
256 pages
8h 52m
English
book
Programming Large Language Models with Azure Open AI: Conversational programming and prompt engineering with LLMs
by Francesco Esposito
Content preview from Programming Large Language Models with Azure Open AI: Conversational programming and prompt engineering with LLMs
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Chapter 4
Mastering language frameworks
In real life, most of the techniques explored in the previous chapter are not typically implemented from scratch, but rather are used through dedicated frameworks. The most commonly used frameworks are LangChain and Haystack, with Microsoft Semantic Kernel (SK) and Microsoft Guidance gaining ground. Additionally, LlamaIndex (or GPTIndex) is mostly used for the retrieval pipelines to ingest and query data. There are also low-code development platforms, like Microsoft Azure Machine Learning Prompt Flow, for streamlining the flow of prototyping, experimenting, iterating, and deploying LLM and AI applications.
This chapter covers the theory behind and practices for LangChain, Semantic Kernel (SK), and Guidance, ...
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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.