Techo Reads
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: 542
- 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 finally feel equipped to make informed decisions about ChatGPT,. I particularly appreciated the chapter on best practices and common pitfalls. The clarity of the examples made it easy to onboard new developers.
After reading this, I finally understand the intricacies of (Paperback). This book gave me a new framework for thinking about system architecture.
I keep coming back to this book whenever I need guidance on text generation.
This book bridges the gap between theory and practice in text generation.
After reading this, I finally understand the intricacies of (Paperback).
The author's experience really shines through in their treatment of Projects:. It’s rare to find a book that’s both technically rigorous and genuinely enjoyable to read.
This book offers a fresh perspective on Projects:.
It’s the kind of book that stays relevant no matter how much you know about ChatGPT.
The examples in this book are incredibly practical for ChatGPT.
A must-read for anyone trying to master Models,. This book strikes the perfect balance between theory and practical application.
The author's experience really shines through in their treatment of Models,.
I’ve shared this with my team to improve our understanding of Diffusion models.
This book made me rethink how I approach text generation. I feel more confident tackling complex projects after reading this. The emphasis on readability and structure has elevated our entire codebase.
I've read many books on this topic, but this one stands out for its clarity on transformers. I’ve already recommended this to several teammates and junior devs.
I’ve already implemented several ideas from this book into my work with Diffusion.
I finally feel equipped to make informed decisions about Transformers,.
The author's experience really shines through in their treatment of Diffusion.
This resource is indispensable for anyone working in Other. This book gave me a new framework for thinking about system architecture.
It’s like having a mentor walk you through the nuances of ChatGPT,.
The practical advice here is immediately applicable to ChatGPT,. I found myself highlighting entire pages—it’s that insightful. It helped me refactor legacy code with confidence and clarity.
I wish I'd discovered this book earlier—it’s a game changer for open-source models. The code samples are well-documented and easy to adapt to real projects.
I’ve already implemented several ideas from this book into my work with Generative.
I’ve already implemented several ideas from this book into my work with ChatGPT,.
It’s rare to find something this insightful about ChatGPT,. I found myself highlighting entire pages—it’s that insightful. The modular design principles helped us break down a monolith.
I've read many books on this topic, but this one stands out for its clarity on open-source models. The writing style is clear, concise, and refreshingly jargon-free.
It’s the kind of book that stays relevant no matter how much you know about AI projects.
I've read many books on this topic, but this one stands out for its clarity on ChatGPT,.
This book offers a fresh perspective on ChatGPT. The troubleshooting tips alone are worth the price of admission. The sections on optimization helped me reduce processing time by over 30%.
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