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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

Refactoring code

What does it mean to refactor code?

Code refactoring is changing the factoring without changing the functionality. This includes changing the code’s design, structure, or exact implementation.

Changing the factoring means changing the code, making it cleaner, easier to maintain, perform better, and not duplicate code. The trigger might be code smells. Code smells are redundant code, large functions, or classes, having to change code in a multitude of locations when you need to change one thing.

Refactoring is done by making many small changes to avoid creating new bugs

[Wiki_refactoring, ChatGPT]. However, refactoring can involve major changes too.

Let’s get ChatGPT to make some purposefully bad code to compress time series data with discrete cosine transforms, DCT. DCT is the sort of compression used in the best and most widely used data compression algorithms. It is lossy compression, so the signal might be partially lost, not just the...

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Coding with ChatGPT and Other LLMs
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