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

Summary

In this chapter, we covered errors in code and debugging, refactoring code, testing, and explaining code, as well as a note on data protection. We’ve covered some of why you want to document well and test well. We were introduced to agents and had a review of virtual software companies.

In Chapter 4, we’ll look at demystifying generated code for readability. This will include generating more readable code, summarizing code for understanding, and generating documentation.

Bibliography

Berman: How To Install ChatDev: An Entire AI Tech Team Building Your Apps (re-upload), Matthew Berman, https://youtu.be/yoAWsIfEzCw
Brownlee_17Stats: 17 Statistical Hypothesis Tests in Python (Cheat Sheet), Jason Brownlee, https://machinelearningmastery.com/statistical-hypothesis-tests-in-python-cheat-sheet/, read 1st March 2024
ChatDev: ChatDev, Chen Qian et al., https://github.com/OpenBMB/ChatDev
ChatDev_paper: Experiential Co-Learning, Chen Qian et al...

The rest of the chapter is locked

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

Table of Contents (19) Chapters

Summary

Unlock this book and the full library FREE for 7 days

Authors (2)

Personalised recommendations for you