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Generative AI with Python and PyTorch

You're reading from   Generative AI with Python and PyTorch Navigating the AI frontier with LLMs, Stable Diffusion, and next-gen AI applications

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Product type Paperback
Published in Mar 2025
Publisher Packt
ISBN-13 9781835884447
Length 450 pages
Edition 2nd Edition
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Authors (2):
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Joseph Babcock Joseph Babcock
Author Profile Icon Joseph Babcock
Joseph Babcock
Raghav Bali Raghav Bali
Author Profile Icon Raghav Bali
Raghav Bali
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Toc

Table of Contents (18) Chapters Close

Preface 1. Introduction to Generative AI: Drawing Data from Models 2. Building Blocks of Deep Neural Networks FREE CHAPTER 3. The Rise of Methods for Text Generation 4. NLP 2.0: Using Transformers to Generate Text 5. LLM Foundations 6. Open-Source LLMs 7. Prompt Engineering 8. LLM Toolbox 9. LLM Optimization Techniques 10. Emerging Applications in Generative AI 11. Neural Networks Using VAEs 12. Image Generation with GANs 13. Style Transfer with GANs 14. Deepfakes with GANs 15. Diffusion Models and AI Art 16. Other Books You May Enjoy
17. Index

Who this book is for

Generative AI with Python and PyTorch, Second-Edition is for industry professionals like data scientistsand machine learning engineers. Researchers, developers and AI enthusiasts with an interest in generative modeling and application of state-of-the-art architectures on real-world datasets. This book is also apt for Pytorch beginners with intermediate-level deep learning related skills looking to expand their knowledge-base and gain experience by applying concepts to real world problems. Basic Proficiency in python and deep learning is all that is required to get started with this book.

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