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Coding with ChatGPT and Other LLMs

You're reading from Coding with ChatGPT and Other LLMs Navigate LLMs for effective coding, debugging, and AI-driven development

Product type Paperback

Published in Nov 2024

Publisher Packt

ISBN-13 9781805125051

Length 304 pages

Edition 1st Edition

Languages

Python

Concepts

GPT/LLMs

Authors (2):

Dr. Vincent Austin Hall

Chigbo Uzokwelu

View More author details

Table of Contents (19) Chapters

Preface

1. Part 1: Introduction to LLMs and Their Applications

2. Chapter 1: What is ChatGPT and What are LLMs? FREE CHAPTER

3. Chapter 2: Unleashing the Power of LLMs for Coding: A Paradigm Shift

4. Chapter 3: Code Refactoring, Debugging, and Optimization: A Practical Guide

5. Part 2: Be Wary of the Dark Side of LLM-Powered Coding

6. Chapter 4: Demystifying Generated Code for Readability

7. Chapter 5: Addressing Bias and Ethical Concerns in LLM-Generated Code

8. Chapter 6: Navigating the Legal Landscape of LLM-Generated Code

9. Chapter 7: Security Considerations and Measures

10. Part 3: Explainability, Shareability, and the Future of LLM-Powered Coding

11. Chapter 8: Limitations of Coding with LLMs

12. Chapter 9: Cultivating Collaboration in LLM-Enhanced Coding

13. Chapter 10: Expanding the LLM Toolkit for Coders: Beyond LLMs

14. Part 4: Maximizing Your Potential with LLMs: Beyond the Basics

15. Chapter 11: Helping Others and Maximizing Your Career with LLMs

16. Chapter 12: The Future of LLMs in Software Development

17. Index

Why subscribe?

18. Other Books You May Enjoy

Bibliography

Amari: “Learning Patterns and Pattern Sequences by Self-Organizing Nets of Threshold Elements”, S. I. Amari https://ieeexplore.ieee.org/document/1672070 in IEEE Transactions on Computers, vol. C-21, no. 11, pp. 1197-1206, Nov. 1972, doi: 10.1109/T-C.1972.223477
keywords: {Associative memory, brain model, concept formation, logic nets of threshold elements, self-organization, sequential recalling, stability of state transition}
AnswerIQ: “25+ Google Bard Statistics 2024 (Usage, Traffic & Cost)”, Paul Rogers: https://www.answeriq.com/google-bard-statistics/ 6th Jan 2024
Brownlee_LLMs: “What are Large Language Models”, Adrian Tam: https://machinelearningmastery.com/what-are-large-language-models/
Brownlee_BLEU: “A Gentle Introduction to Calculating the BLEU Score for Text in Python”, Jason Brownlee, https://machinelearningmastery.com/calculate-bleu-score-for-text-python/
Brush: “History...

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Coding with ChatGPT and Other LLMs

Published in: Nov 2024

Publisher: Packt

ISBN-13: 9781805125051

© 2024 Packt Publishing Limited All Rights Reserved

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Authors (2)

Dr. Vincent Austin Hall

Dr. Vincent Austin Hall

Dr. Vincent Austin Hall is a computer science lecturer at Birmingham Newman University and CEO of Build Intellect Ltd, an AI consultancy. Build Intellect works closely with ABT News LTD, based in Reading, England. He holds a physics degree from the University of Leeds, an MSc in biology, chemistry, maths, and coding from Warwick, and a PhD in machine learning and chemistry, also from Warwick, where he developed licensed software for pharma applications. With experience in tech firms and academia, he's worked on ML projects in the automotive and medtech sectors. He supervises dissertations at the University of Exeter, consults on AI strategies, coaches students and professionals, and shares insights through blogs and YouTube content.

See other products by Dr. Vincent Austin Hall

Chigbo Uzokwelu

Chigbo Uzokwelu

Chigbo Uzokwelu

See other products by Chigbo Uzokwelu

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