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 (124 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: 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

Kai Nelson
Kai Nelson
ML Engineer at Zoom
4 months ago

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.

Reese Garcia
Reese Garcia
Mobile Developer at IBM
14 days ago

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.

Skyler Clark
Skyler Clark
Tech Lead at Dropbox
2 months ago

This is now my go-to reference for all things related to text generation.

Emerson Brown
Emerson Brown
Cloud Architect at Oracle
27 days ago

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.

Kai Wright
Kai Wright
Tech Lead at Snap Inc.
12 days ago

This book gave me the confidence to tackle challenges in Projects:. This book strikes the perfect balance between theory and practical application.

Riley Green
Riley Green
Senior Developer at Oracle
20 days ago

I've read many books on this topic, but this one stands out for its clarity on (Paperback).

Blake Davis
Blake Davis
AI Researcher at Adobe
11 months ago

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.

Casey King
Casey King
Tech Lead at Nvidia
14 days ago

This book completely changed my approach to text generation. The diagrams and visuals made complex ideas much easier to grasp.

Sage Williams
Sage Williams
Full Stack Developer at IBM
3 days ago

A must-read for anyone trying to master Models,.

Emerson Torres
Emerson Torres
Systems Architect at Airbnb
1 months ago

This book offers a fresh perspective on open-source models.

Blake Martinez
Blake Martinez
QA Analyst at Slack
10 days ago

It’s the kind of book that stays relevant no matter how much you know about Models,.

Rowan Smith
Rowan Smith
Cloud Architect at IBM
24 days ago

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.

Jordan Lopez
Jordan Lopez
DevOps Specialist at Snap Inc.
15 days ago

I’ve already implemented several ideas from this book into my work with Diffusion models.

Skyler Walker
Skyler Walker
Cloud Architect at Oracle
3 months ago

This resource is indispensable for anyone working in machine learning.

Jules Smith
Jules Smith
ML Engineer at Facebook
18 days ago

I've read many books on this topic, but this one stands out for its clarity on Transformers,.

Sage Hill
Sage Hill
Technical Writer at Amazon
8 months ago

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.

Taylor Wright
Taylor Wright
ML Engineer at Intel
10 months ago

I keep coming back to this book whenever I need guidance on Diffusion. I feel more confident tackling complex projects after reading this.

Quinn Johnson
Quinn Johnson
Senior Developer at IBM
9 days ago

This book gave me the confidence to tackle challenges in Generative.

Jamie King
Jamie King
UX Strategist at Oracle
7 months ago

This resource is indispensable for anyone working in ChatGPT. I particularly appreciated the chapter on best practices and common pitfalls.

Noel Garcia
Noel Garcia
Automation Specialist at Airbnb
2 months ago

The practical advice here is immediately applicable to (Paperback).

Blake Scott
Blake Scott
Product Designer at Netflix
25 days ago

This book offers a fresh perspective on transformers.

Charlie Baker
Charlie Baker
Automation Specialist at LinkedIn
7 months ago

I've been recommending this to all my colleagues working with Projects:.

Casey Brown
Casey Brown
Technical Writer at Netflix
6 months ago

This book distilled years of confusion into a clear roadmap for ChatGPT,. I found myself highlighting entire pages—it’s that insightful.

Noel Young
Noel Young
Innovation Lead at Airbnb
5 months ago

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.

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