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 5
Security, privacy, and accuracy concerns
Up to this point, this book has predominantly explored techniques and frameworks for harnessing the full capabilities of LLMs. While this has been instrumental in conveying their power, the book has thus far neglected certain critical aspects that must not be overlooked when working with these language models. These often-overlooked facets encompass the realms of security, privacy, incorrect output generation, and efficient data management. Equally important are concerns that relate to evaluating the quality of the content generated by these models and the need to moderate or restrict access when dealing with potentially sensitive or inappropriate content.
This chapter delves deeply into these ...
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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.