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: 344
- 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 offers a fresh perspective on text generation. It’s rare to find a book that’s both technically rigorous and genuinely enjoyable to read. It’s helped me mentor junior developers more effectively.
The author has a gift for explaining complex concepts about Transformers,. It’s packed with practical wisdom that only comes from years in the field.
It’s like having a mentor walk you through the nuances of Models,.
This book gave me the confidence to tackle challenges in open-source models. It’s the kind of book you’ll keep on your desk, not your shelf. The clarity of the examples made it easy to onboard new developers.
This book made me rethink how I approach Other. This book strikes the perfect balance between theory and practical application.
This book made me rethink how I approach transformers.
I finally feel equipped to make informed decisions about ChatGPT,. The pacing is perfect—never rushed, never dragging.
I've been recommending this to all my colleagues working with Other.
This helped me connect the dots I’d been missing in open-source models.
I've read many books on this topic, but this one stands out for its clarity on Generative.
I've read many books on this topic, but this one stands out for its clarity on Projects:. The troubleshooting tips alone are worth the price of admission.
It’s the kind of book that stays relevant no matter how much you know about ChatGPT,.
This book made me rethink how I approach Other.
I keep coming back to this book whenever I need guidance on text generation.
The author's experience really shines through in their treatment of deep learning. The author anticipates the reader’s questions and answers them seamlessly. The real-world scenarios made the concepts feel immediately applicable.
A must-read for anyone trying to master transformers. It’s packed with practical wisdom that only comes from years in the field.
This book made me rethink how I approach ChatGPT,.
This book bridges the gap between theory and practice in ChatGPT,. The troubleshooting tips alone are worth the price of admission. It’s helped me write cleaner, more maintainable code across the board.
I keep coming back to this book whenever I need guidance on Generative AI. The exercises at the end of each chapter helped solidify my understanding.
I’ve shared this with my team to improve our understanding of Models,.
The author has a gift for explaining complex concepts about AI projects.
Join the Discussion
Related Books
WebGPU API - Owners' Workshop Manual - Computer Programming (Beginners Onwards): Everything You Need To Get Started With Programming Using WebGPU API And WGSL Shader Language
Published: April 28, 2024
View Details
WebGPU Shader Language Development: Vertex, Fragment, Compute Shaders for Programmers
Published: May 9, 2024
View Details