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: 426
- 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
It’s the kind of book that stays relevant no matter how much you know about deep learning. I was able to apply what I learned immediately to a client project. The performance gains we achieved after implementing these ideas were immediate.
The author has a gift for explaining complex concepts about machine learning. 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 ChatGPT,.
I’ve already implemented several ideas from this book into my work with Generative. The diagrams and visuals made complex ideas much easier to grasp. I’ve started incorporating these principles into our code reviews.
After reading this, I finally understand the intricacies of Other. I found myself highlighting entire pages—it’s that insightful.
This book offers a fresh perspective on ChatGPT,.
I’ve already implemented several ideas from this book into my work with ChatGPT.
This book made me rethink how I approach text generation. Each section builds logically and reinforces key concepts without being repetitive.
This book made me rethink how I approach Generative.
This book made me rethink how I approach machine learning.
I’ve shared this with my team to improve our understanding of Models,. The author anticipates the reader’s questions and answers them seamlessly.
The author has a gift for explaining complex concepts about transformers.
I've been recommending this to all my colleagues working with (Paperback).
This is now my go-to reference for all things related to Projects:.
The author has a gift for explaining complex concepts about machine learning. Each section builds logically and reinforces key concepts without being repetitive. The architectural insights helped us redesign a major part of our system.
This book completely changed my approach to Projects:. The pacing is perfect—never rushed, never dragging.
I wish I'd discovered this book earlier—it’s a game changer for deep learning.
It’s like having a mentor walk you through the nuances of deep learning.
I keep coming back to this book whenever I need guidance on transformers.
It’s rare to find something this insightful about Generative. The author's real-world experience shines through in every chapter.
This book completely changed my approach to transformers.
I finally feel equipped to make informed decisions about AI projects.
It’s the kind of book that stays relevant no matter how much you know about open-source models.
This book gave me the confidence to tackle challenges in Models,. The code samples are well-documented and easy to adapt to real projects. We’ve adopted several practices from this book into our sprint planning.
A must-read for anyone trying to master Generative AI. I’ve already recommended this to several teammates and junior devs.
A must-read for anyone trying to master Transformers,.
The writing is engaging, and the examples are spot-on for Projects:.
I've been recommending this to all my colleagues working with Projects:.
A must-read for anyone trying to master transformers. I was able to apply what I learned immediately to a client project.
This is now my go-to reference for all things related to text generation.
The insights in this book helped me solve a critical problem with deep learning.
I've been recommending this to all my colleagues working with Models,. This book gave me a new framework for thinking about system architecture.
The author has a gift for explaining complex concepts about Generative AI. The practical examples helped me implement better solutions in my projects. I've already seen improvements in my code quality after applying these techniques.
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