Nudge In Right Direction
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: 522
- 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
This book gave me the confidence to tackle challenges in Projects:. I’ve already recommended this to several teammates and junior devs. The debugging strategies outlined here saved me hours of frustration.
It’s rare to find something this insightful about transformers. I especially liked the real-world case studies woven throughout.
I've read many books on this topic, but this one stands out for its clarity on ChatGPT.
The insights in this book helped me solve a critical problem with ChatGPT,.
This book gave me the confidence to tackle challenges in machine learning.
I wish I'd discovered this book earlier—it’s a game changer for ChatGPT. The tone is encouraging and empowering, even when tackling tough topics. I'm planning to use this as a textbook for my team's training program.
I was struggling with until I read this book Transformers,. The troubleshooting tips alone are worth the price of admission.
This book completely changed my approach to (Paperback).
This book gave me the confidence to tackle challenges in ChatGPT,. It’s packed with practical wisdom that only comes from years in the field.
The clarity and depth here are unmatched when it comes to ChatGPT.
The author has a gift for explaining complex concepts about Transformers,.
I’ve shared this with my team to improve our understanding of Diffusion.
I’ve already implemented several ideas from this book into my work with Diffusion models. The author's real-world experience shines through in every chapter. The architectural insights helped us redesign a major part of our system.
The author's experience really shines through in their treatment of ChatGPT,. I’ve already recommended this to several teammates and junior devs.
This is now my go-to reference for all things related to Models,.
After reading this, I finally understand the intricacies of Models,.
The practical advice here is immediately applicable to deep learning. The author anticipates the reader’s questions and answers them seamlessly. This is exactly what our team needed to overcome our technical challenges.
It’s the kind of book that stays relevant no matter how much you know about deep learning. I feel more confident tackling complex projects after reading this.
The insights in this book helped me solve a critical problem with Diffusion.
I've read many books on this topic, but this one stands out for its clarity on Generative AI. I was able to apply what I learned immediately to a client project.
The practical advice here is immediately applicable to Other.
I've read many books on this topic, but this one stands out for its clarity on Diffusion.
After reading this, I finally understand the intricacies of Transformers,.
This is now my go-to reference for all things related to text generation. This book strikes the perfect balance between theory and practical application. I’ve bookmarked several sections for quick reference during development.
Join the Discussion
Related Books
WebGPU and WGSL by Example: Fractals, Image Effects, Ray-Tracing, Procedural Geometry, 2D/3D, Particles, Simulations
Published: March 18, 2024
View Details
WebGPU Programming Guide: Interactive Graphics & Compute Programming with WebGPU & WGSL
Published: September 28, 2024
View Details
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