101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback)
Book Details
  • ISBN: 9798291798089
  • Published: July 10, 2025
  • Pages: 287
  • Publisher: TechPress Publications

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

4.3/5(42 reviews)

A comprehensive guide to modern development practices and cutting-edge technologies that will transform your approach to software engineering.

Key Features
  • Interview-ready implementation insights
  • Strategies for fault tolerance and recovery
  • Best practices from industry experts
  • Real-world examples and case studies
  • Scalable patterns
  • Scenarios for scaling teams and systems in tandem

101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback) is an essential resource for developers looking to master modern software development practices. Through clear explanations and practical examples, this book covers everything from fundamental concepts to advanced techniques.

Whether you're a beginner looking to build a solid foundation or an experienced developer seeking to update your skills, this book provides valuable insights that you can immediately apply to your projects.

  1. Introduction to Modern Development Practices
  2. Core Concepts and Fundamentals
  3. Advanced Techniques and Patterns
  4. Real-World Applications
  5. Best Practices and Optimization
  6. Future Trends and Technologies
  7. Appendix: Additional Resources
Author
Author

With over 15 years of experience in software development and education, The author has worked with leading tech companies and universities to develop cutting-edge curriculum and training programs.

Community Reviews

Finley Allen
Finley Allen
3.9/5
10 months ago

I’ve read dozens of dev books, and this one actually made me excited to refactor legacy code.

Reese Griffin
Reese Griffin
4.2/5
27 days ago

This is now my go-to reference for best practices. The code samples alone are worth the price.

Riley Barnes
Riley Barnes
4.7/5
30 days ago

I appreciated the balance between theory and implementation. It’s rare to find both done well.

Blake Coleman
Blake Coleman
4.7/5
1 months ago

As a senior developer, I found this book refreshing. It covers advanced topics without being overly academic.

Lennon Barnes
Lennon Barnes
3.5/5
20 days ago

As a senior developer, I found this book refreshing. It covers advanced topics without being overly academic.

Marley Baker
Marley Baker
4.2/5
3 days ago

The section on API design alone saved me hours of refactoring. Brilliantly structured.

Rowan Carter
Rowan Carter
3.7/5
9 months ago

Finally, a technical book that respects your time. No fluff, just solid engineering wisdom.

Peyton Allen
Peyton Allen
3.8/5
26 days ago

This helped me rethink how I approach scalability and modularity in my projects.

Drew Clark
Drew Clark
3.9/5
6 months ago

It’s not just a book—it’s a toolbox. I keep coming back to it during code reviews and planning sessions.

Morgan Walker
Morgan Walker
4.5/5
9 months ago

This book completely changed my approach to coding. The examples are practical and easy to follow.

Elliot Green
Elliot Green
3.6/5
12 months ago

Clear, concise, and packed with actionable advice—this book is a must-read for any serious developer.

Peyton Jennings
Peyton Jennings
4.5/5
11 months ago

The author explains complex concepts in a way that's accessible to beginners but still valuable for experienced devs.

Sage Walker
Sage Walker
4.1/5
1 months ago

The writing style is engaging without sacrificing depth. I didn’t expect to enjoy it this much.

Shiloh Anderson
Shiloh Anderson
4.2/5
4 months ago

The writing style is engaging without sacrificing depth. I didn’t expect to enjoy it this much.

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