101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback)
A comprehensive guide to mastering Generative AI, Diffusion models, ChatGPT and more.
Book Details
- ISBN: 9798291798089
- Publication Date: July 10, 2025
- Pages: 591
- Publisher: Tech Publications
About This Book
This book provides in-depth coverage of Generative AI and Diffusion models, offering practical insights and real-world examples that developers can apply immediately in their projects.
What You'll Learn
- Master the fundamentals of Generative AI
- Implement advanced techniques for Diffusion models
- Optimize performance in ChatGPT applications
- Apply best practices from industry experts
- Troubleshoot common issues and pitfalls
Who This Book Is For
This book is perfect for developers with intermediate experience looking to deepen their knowledge of Generative AI and Diffusion models. Whether you're building enterprise applications or working on personal projects, you'll find valuable insights and techniques.
Reviews & Discussions
I've been recommending this to all my colleagues working with transformers. It’s rare to find a book that’s both technically rigorous and genuinely enjoyable to read. The clear explanations make complex topics accessible to developers of all levels.
I've read many books on this topic, but this one stands out for its clarity on (Paperback). The practical examples helped me implement better solutions in my projects.
This is now my go-to reference for all things related to text generation.
The author's experience really shines through in their treatment of Generative AI. The author’s passion for the subject is contagious. The clarity of the examples made it easy to onboard new developers.
This book gave me the confidence to tackle challenges in Projects:. This book strikes the perfect balance between theory and practical application.
I've read many books on this topic, but this one stands out for its clarity on (Paperback).
This book distilled years of confusion into a clear roadmap for AI projects. The author's real-world experience shines through in every chapter. The clear explanations make complex topics accessible to developers of all levels.
This book completely changed my approach to text generation. The diagrams and visuals made complex ideas much easier to grasp.
A must-read for anyone trying to master Models,.
This book offers a fresh perspective on open-source models.
It’s the kind of book that stays relevant no matter how much you know about Models,.
It’s like having a mentor walk you through the nuances of Generative AI. This book strikes the perfect balance between theory and practical application.
I’ve already implemented several ideas from this book into my work with Diffusion models.
This resource is indispensable for anyone working in machine learning.
I've read many books on this topic, but this one stands out for its clarity on Transformers,.
A must-read for anyone trying to master open-source models. I’ve already recommended this to several teammates and junior devs. The modular design principles helped us break down a monolith.
I keep coming back to this book whenever I need guidance on Diffusion. I feel more confident tackling complex projects after reading this.
This book gave me the confidence to tackle challenges in Generative.
This resource is indispensable for anyone working in ChatGPT. I particularly appreciated the chapter on best practices and common pitfalls.
The practical advice here is immediately applicable to (Paperback).
This book offers a fresh perspective on transformers.
I've been recommending this to all my colleagues working with Projects:.
This book distilled years of confusion into a clear roadmap for ChatGPT,. I found myself highlighting entire pages—it’s that insightful.
The examples in this book are incredibly practical for open-source models. I’ve already recommended this to several teammates and junior devs. This is exactly what our team needed to overcome our technical challenges.
Join the Discussion
Related Books