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Coding with ChatGPT and Other LLMs
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Coding with ChatGPT and Other LLMs
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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 Bard 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)
Preface
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Part 1: Introduction to LLMs and Their Applications
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Chapter 1: What is ChatGPT and What are LLMs?
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Chapter 2: Unleashing the Power of LLMs for Coding: A Paradigm Shift
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Chapter 3: Code Refactoring, Debugging, and Optimization: A Practical Guide
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Part 2: Be Wary of the Dark Side of LLM-Powered Coding
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Chapter 4: Demystifying Generated Code for Readability
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Chapter 5: Addressing Bias and Ethical Concerns in LLM-Generated Code
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Chapter 6: Navigating the Legal Landscape of LLM-Generated Code
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Chapter 7: Security Considerations and Measures
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Part 3: Explainability, Shareability, and the Future of LLM-Powered Coding
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Chapter 8: Limitations of Coding with LLMs
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Chapter 9: Cultivating Collaboration in LLM-Enhanced Coding
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Chapter 10: Expanding the LLM Toolkit for Coders: Beyond LLMs
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Part 4: Maximizing Your Potential with LLMs: Beyond the Basics
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Chapter 11: Helping Others and Maximizing Your Career with LLMs
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Chapter 12: The Future of LLMs in Software Development
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Index
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