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Coding with ChatGPT and Other LLMs
Coding with ChatGPT and Other LLMs

Coding with ChatGPT and Other LLMs: Navigate LLMs for effective coding, debugging, and AI-driven development

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Profile Icon Dr. Vincent Austin Hall
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£23.99 £26.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7 (3 Ratings)
eBook Nov 2024 304 pages 1st Edition
eBook
£23.99 £26.99
Paperback
£33.99
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Free Trial
Renews at £16.99p/m
Arrow left icon
Profile Icon Dr. Vincent Austin Hall
Arrow right icon
£23.99 £26.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7 (3 Ratings)
eBook Nov 2024 304 pages 1st Edition
eBook
£23.99 £26.99
Paperback
£33.99
Subscription
Free Trial
Renews at £16.99p/m
eBook
£23.99 £26.99
Paperback
£33.99
Subscription
Free Trial
Renews at £16.99p/m

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Coding with ChatGPT and Other LLMs

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Key benefits

  • 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

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.

Who is this book 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.

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

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Nov 29, 2024
Length: 304 pages
Edition : 1st
Language : English
ISBN-13 : 9781805127963
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Product Details

Publication date : Nov 29, 2024
Length: 304 pages
Edition : 1st
Language : English
ISBN-13 : 9781805127963
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Concepts :

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Table of Contents

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

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7
(3 Ratings)
5 star 66.7%
4 star 33.3%
3 star 0%
2 star 0%
1 star 0%
Paul Pollock Nov 30, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
"Coding with ChatGPT and Other LLMs" by Dr. Vincent Austin Hall is a standout resource for leveraging AI in software development. This book provides a practical and insightful roadmap for coders of all levels to understand and implement the capabilities of Large Language Models (LLMs).The chapters cover everything from debugging and refactoring to addressing ethical concerns, security risks, and the legal landscape of AI-driven code. What I found particularly impressive was the blend of technical depth with clear explanations, making advanced concepts accessible without oversimplifying.The inclusion of ethical and practical considerations, along with hands-on examples, ensures this book isn’t just about theory—it’s about applying these insights in real-world scenarios. It also offers a forward-thinking perspective on the evolving role of AI in coding and software development.Whether you're a new coder, a seasoned developer, or even a legal professional exploring AI impacts on intellectual property, this book delivers valuable insights. It's a must-read for anyone looking to elevate their skills and embrace the future of AI-enhanced coding. Read more
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Anna Cunningham Nov 29, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The best book on coding with LLMs out there. Contains all the latest developments, would highly recommend Read more
Amazon Verified review Amazon
Om S Dec 22, 2024
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
This book is simple and helpful for anyone learning to use AI tools for coding. It explains how to debug, optimize, and write better code using tools like ChatGPT. The author gives tips to avoid common mistakes and create understandable code. It also covers ethical and legal issues with AI tools, which is very important. A great read for both beginners and experienced coders! Read more
Amazon Verified review Amazon
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