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Coding with ChatGPT and Other LLMs

Coding with ChatGPT and Other LLMs

By : Dr. Vincent Austin Hall
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Coding with ChatGPT and Other LLMs

Coding with ChatGPT and Other LLMs

4 (4)
By: Dr. Vincent Austin Hall

Overview of this book

Keeping up with the AI revolution and its application in coding can be challenging, but with guidance from AI and ML expert Dr. Vincent Hall—who holds a PhD in machine learning and has extensive experience in licensed software development—this book helps both new and experienced coders to quickly adopt best practices and stay relevant in the field. You’ll learn how to use LLMs such as ChatGPT and Gemini to produce efficient, explainable, and shareable code and discover techniques to maximize the potential of LLMs. The book focuses on integrated development environments (IDEs) and provides tips to avoid pitfalls, such as bias and unexplainable code, to accelerate your coding speed. You’ll master advanced coding applications with LLMs, including refactoring, debugging, and optimization, while examining ethical considerations, biases, and legal implications. You’ll also use cutting-edge tools for code generation, architecting, description, and testing to avoid legal hassles while advancing your career. By the end of this book, you’ll be well-prepared for future innovations in AI-driven software development, with the ability to anticipate emerging LLM technologies and generate ideas that shape the future of development.
Table of Contents (19 chapters)
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1
Part 1: Introduction to LLMs and Their Applications
5
Part 2: Be Wary of the Dark Side of LLM-Powered Coding
10
Part 3: Explainability, Shareability, and the Future of LLM-Powered Coding
14
Part 4: Maximizing Your Potential with LLMs: Beyond the Basics

Summary

In this chapter, we saw that we need to be aware of legal liabilities, follow regulations, and even stay up to date with changing regulations when using LLMs to get code. Different countries allow or disallow the copyright of AI-generated materials such as code. There are many jurisdictions, and they have different interpretations of how to manage AI and AI code, although there are some similarities, such as how they look at the risks of AI and require more transparency and clarity. Regulations are starting to appear, in the EU and other places. There is always the need to keep watching the news.

Keep thinking about what AI should be allowed to do, and talk to others about it, especially your lawmakers.

In the next chapter, we’ll uncover the security concerns associated with using LLMs, how to be ready for threats, and how to guard against them.

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Programming languages
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Coding with ChatGPT and Other LLMs
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