101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback)

101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback)

4.7 (55 reviews)
Generative AIDiffusion modelsChatGPTtransformersLLMsmachine learningdeep learningtext generationAI projectsopen-source models

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

Drew Williams
Drew Williams
Site Reliability Engineer at GitHub
19 days ago

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.

Sage Garcia
Sage Garcia
Mobile Developer at Amazon
12 months ago

This book made me rethink how I approach Other. I was able to apply what I learned immediately to a client project.

Rowan Walker
Rowan Walker
Mobile Developer at Pinterest
9 months ago

I was struggling with until I read this book Generative.

Emerson Nguyen
Emerson Nguyen
Full Stack Developer at Pinterest
20 days ago

This resource is indispensable for anyone working in ChatGPT.

Rowan Mitchell
Rowan Mitchell
QA Analyst at IBM
1 months ago

I finally feel equipped to make informed decisions about Transformers,.

Elliot Hall
Elliot Hall
Innovation Lead at Shopify
7 months ago

I’ve shared this with my team to improve our understanding of Generative. I found myself highlighting entire pages—it’s that insightful.

Parker Miller
Parker Miller
Data Scientist at Snap Inc.
22 days ago

The author has a gift for explaining complex concepts about ChatGPT.

Skyler Wright
Skyler Wright
AI Researcher at Twitter
3 months ago

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.

Blake Davis
Blake Davis
ML Engineer at Spotify
24 days ago

The writing is engaging, and the examples are spot-on for ChatGPT. I appreciated the thoughtful breakdown of common design patterns.

Charlie Smith
Charlie Smith
Site Reliability Engineer at Shopify
11 days ago

This book made me rethink how I approach Models,.

River Baker
River Baker
Senior Developer at Microsoft
20 days ago

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.

Reese Carter
Reese Carter
Technical Writer at GitHub
11 days ago

I wish I'd discovered this book earlier—it’s a game changer for transformers. The author’s passion for the subject is contagious.

Noel Williams
Noel Williams
Systems Architect at Netflix
7 months ago

The author's experience really shines through in their treatment of Generative.

Jamie Williams
Jamie Williams
QA Analyst at Snap Inc.
25 days ago

I wish I'd discovered this book earlier—it’s a game changer for Models,.

Kai Young
Kai Young
Security Engineer at Tesla
1 days ago

A must-read for anyone trying to master (Paperback).

Skyler Nguyen
Skyler Nguyen
Systems Architect at Shopify
29 days ago

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.

Parker Johnson
Parker Johnson
Tech Lead at Twitter
1 months ago

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.

Quinn Torres
Quinn Torres
Full Stack Developer at Nvidia
12 months ago

A must-read for anyone trying to master ChatGPT.

Dakota Nguyen
Dakota Nguyen
Security Engineer at Stripe
12 months ago

I’ve bookmarked several chapters for quick reference on Transformers,.

Noel Baker
Noel Baker
Systems Architect at Twitter
11 months ago

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.

Riley Scott
Riley Scott
Software Engineer at Nvidia
16 days ago

I've been recommending this to all my colleagues working with deep learning.

Reese Nguyen
Reese Nguyen
Platform Engineer at Nvidia
5 days ago

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.

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