Coding with ChatGPT and Other LLMs

Navigate LLMs for effective coding, debugging, and AI-driven development

Dr. Vincent Austin Hall

• Publisher: Packt Publishing
• Year: 2024
• eBook ISBN: 9781805127963
• Topic: Computer Science
• Subtopic: Artificial Intelligence (AI) & Semantics
• Index: Computer Science

Leverage LLM (large language models) for developing unmatched coding skills, solving complex problems faster, and implementing AI responsibly

Key Features

• Understand the strengths and weaknesses of LLM-powered software for enhancing performance while minimizing potential issues
• Grasp the ethical considerations, biases, and legal aspects of LLM-generated code for responsible AI usage
• Boost your coding speed and improve quality with IDE integration
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

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.

What you will learn

• Utilize LLMs for advanced coding tasks, such as refactoring and optimization
• Understand how IDEs and LLM tools help coding productivity
• Master advanced debugging to resolve complex coding issues
• Identify and avoid common pitfalls in LLM-generated code
• Explore advanced strategies for code generation, testing, and description
• Develop practical skills to advance your coding career with LLMs

Who this book is for

This book is for experienced coders and new developers aiming to master LLMs, data scientists and machine learning engineers looking for advanced techniques for coding with LLMs, and AI enthusiasts exploring ethical and legal implications. Tech professionals will find practical insights for innovation and career growth in this book, while AI consultants and tech hobbyists will discover new methods for training and personal projects.

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Table of contents

• Coding with ChatGPT and Other LLMs
• Contributors
• About the reviewers
• Preface
• Part 1: Introduction to LLMs and Their Applications
• 1
• 2
• 3
• Part 2: Be Wary of the Dark Side of LLM-Powered Coding
• 4
• 5
• 6
• 7
• Part 3: Explainability, Shareability, and the Future of LLM-Powered Coding
• 8
• 9
• 10
• Part 4: Maximizing Your Potential with LLMs: Beyond the Basics
• 11
• 12
• Index
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