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: 498
- 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 was struggling with until I read this book Projects:. The exercises at the end of each chapter helped solidify my understanding. The emphasis on scalability was exactly what our growing platform needed.
This book made me rethink how I approach Other. I was able to apply what I learned immediately to a client project.
I was struggling with until I read this book Generative.
This resource is indispensable for anyone working in ChatGPT.
I finally feel equipped to make informed decisions about Transformers,.
I’ve shared this with my team to improve our understanding of Generative. I found myself highlighting entire pages—it’s that insightful.
The author has a gift for explaining complex concepts about ChatGPT.
This book made me rethink how I approach open-source models. It’s the kind of book you’ll keep on your desk, not your shelf. The testing strategies have improved our coverage and confidence.
The writing is engaging, and the examples are spot-on for ChatGPT. I appreciated the thoughtful breakdown of common design patterns.
This book made me rethink how I approach Models,.
This book offers a fresh perspective on machine learning. It’s the kind of book you’ll keep on your desk, not your shelf. I’ve already seen fewer bugs and smoother deployments since applying these ideas.
I wish I'd discovered this book earlier—it’s a game changer for transformers. The author’s passion for the subject is contagious.
The author's experience really shines through in their treatment of Generative.
I wish I'd discovered this book earlier—it’s a game changer for Models,.
A must-read for anyone trying to master (Paperback).
The writing is engaging, and the examples are spot-on for Other. The author’s passion for the subject is contagious. I'm planning to use this as a textbook for my team's training program.
The author's experience really shines through in their treatment of Generative AI. The code samples are well-documented and easy to adapt to real projects.
A must-read for anyone trying to master ChatGPT.
I’ve bookmarked several chapters for quick reference on Transformers,.
The author's experience really shines through in their treatment of AI projects. The code samples are well-documented and easy to adapt to real projects.
I've been recommending this to all my colleagues working with deep learning.
This resource is indispensable for anyone working in Generative AI. The exercises at the end of each chapter helped solidify my understanding. The architectural insights helped us redesign a major part of our system.
Join the Discussion
Related Books
Vulkan API - Owners' Workshop Manual (2nd Edition) - Computer Programming (Beginners Onwards): Everything You Need To Get Started With The Vulkan API
Published: September 6, 2026
View Details
101 WebGL and GLSL Projects: A Hands-On Journey Through 101 Programming Project Examples
Published: April 3, 2025
View Details