Generative AI with Python and PyTorch, Second Edition: Hands-on projects and cutting-edge techniques using generative adversarial networks and LLMs

Welcome to Packt Early Access. We’re giving you an exclusive preview of this book before it goes on sale. It can take many months to write a book, but our authors have cutting-edge information to share with you today. Early Access gives you an insight into the latest developments by making chapter drafts available. The chapters may be a little rough around the edges right now, but our authors will update them over time.

You can dip in and out of this book or follow along from start to finish; Early Access is designed to be flexible. We hope you enjoy getting to know more about the process of writing a Packt book.

1. Chapter 1: An Introduction to Generative AI: ""Drawing"" Data from Models
2. Chapter 2: Building Blocks of Deep Neural Networks
3. Chapter 3: The Rise of Methods for Text Generation
4. Chapter 4: NLP 2.0: Using Transformers to Generate Text
5. Chapter 5: Foundations of LLMs
6. Chapter 6: Open Source LLMs
7. Chapter 7: Prompt Engineering
8. Chapter 8: LLM Toolbox/Ecosystem
9. Chapter 9: LLM Optimisation Techniques
10. Chapter 10: Emerging Applications in Generative AI
11. Chapter 11: Neural Networks Using VAEs
12. Chapter 12: Image Generation with GANs
13. Chapter 13: Style Transfer with GANs
14. Chapter 14: Deepfakes with GANs
15. Chapter 15: Diffusion Models and AI Art