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 7
Chat with your data
After exploring the use of Azure OpenAI APIs for a simple example that only involved prompt engineering, it’s time for a more complex use case. In this chapter, you will learn how to build a corporate chatbot that responds based on a document database that you will construct. Initially, this database will contain unstructured or semi-structured documents, but you will see how to extend the demo to use structured data in the last section of the chapter.
To achieve this, you will use an orchestrator to apply the RAG pattern, with the final section covering some of its possible extensions. You will construct the orchestrator using LangChain and will use Streamlit—a user-friendly web framework for developing what are ...
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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.