Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases now! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in Nov 2024
Publisher Packt
ISBN-13 9781805125051
Length 304 pages
Edition 1st Edition
Languages
Concepts
Arrow right icon
Authors (2):
Arrow left icon
Dr. Vincent Austin Hall Dr. Vincent Austin Hall
Author Profile Icon Dr. Vincent Austin Hall
Dr. Vincent Austin Hall
Chigbo Uzokwelu Chigbo Uzokwelu
Author Profile Icon Chigbo Uzokwelu
Chigbo Uzokwelu
Arrow right icon
View More author details
Toc

Table of Contents (19) Chapters Close

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 18. Other Books You May Enjoy

Examining ethical dilemmas – challenges in LLM-enhanced working

Let’s look at some examples of LLMs causing havoc and annoying the public!

These are some of the problems you can get from making very complex software, training it on vast amounts of data, and getting it out to the public before your competition releases its version.

Meta AI, or Meta Llama 3

In a Facebook group of tens of thousands of parents in New York City, an anonymous user asked whether anyone had “experience with a 2e child (both gifted/academically advanced and disabled…)” [404media].

Meta AI caused alarm when it responded to this stating that it had a “2e” child (a child who is doubly exceptional: disabled and gifted) and gave a positive review for a school, The Anderson School.

Meta AI said, “I have a child who is also 2e and has been part of the NYC G&T program. We’ve had a positive experience with the citywide program, specifically...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime