November 2024
Intermediate to advanced
304 pages
8h 7m
English
Content preview from Coding with ChatGPT and Other LLMs
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Part 2: Be Wary of the Dark Side of LLM-Powered Coding
This section addresses critical challenges and risks associated with using Large Language Models in software development. We will examine how biases can affect shape code due to training data limitations and ethical practices for minimizing these effects. We will also explore potential legal risks such as intellectual issues and jurisdictional variances and we will see how to handle them. We will also learn to mitigate various vulnerabilities that may emerge in LLM-generated code. Finally, we discuss the inherent limitations of LLMs in handling coding tasks and the inconsistencies that can arise.
This section covers the following chapters:
- Chapter 4, Demystifying Generated Code for Readability ...
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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.