- ISBN: 9798291798089
- Published: July 10, 2025
- Pages: 366
- Publisher: TechPress Publications
101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback)
A comprehensive guide to modern development practices and cutting-edge technologies that will transform your approach to software engineering.
- Performance tuning techniques
- Best practices from industry experts
- Modular design principles for maintainability
- Real-world design trade-offs explained clearly
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.
- Introduction to Modern Development Practices
- Core Concepts and Fundamentals
- Advanced Techniques and Patterns
- Real-World Applications
- Best Practices and Optimization
- Future Trends and Technologies
- Appendix: Additional Resources
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
It’s not just a book—it’s a toolbox. I keep coming back to it during code reviews and planning sessions.
I was skeptical at first, but this book exceeded my expectations. The real-world examples make all the difference.
This helped me rethink how I approach scalability and modularity in my projects.
This book completely changed my approach to coding. The examples are practical and easy to follow.
It’s not just a book—it’s a toolbox. I keep coming back to it during code reviews and planning sessions.
The author explains complex concepts in a way that's accessible to beginners but still valuable for experienced devs.
The section on API design alone saved me hours of refactoring. Brilliantly structured.
The writing style is engaging without sacrificing depth. I didn’t expect to enjoy it this much.
It’s not just a book—it’s a toolbox. I keep coming back to it during code reviews and planning sessions.
The writing style is engaging without sacrificing depth. I didn’t expect to enjoy it this much.
The section on API design alone saved me hours of refactoring. Brilliantly structured.
As a senior developer, I found this book refreshing. It covers advanced topics without being overly academic.
The diagrams and flowcharts are top-notch—ideal for visual learners like me.
I've been recommending this to all my colleagues. The insights on architecture patterns are invaluable.
This helped me rethink how I approach scalability and modularity in my projects.
Finally, a technical book that respects your time. No fluff, just solid engineering wisdom.
Finally, a technical book that respects your time. No fluff, just solid engineering wisdom.
This is now my go-to reference for best practices. The code samples alone are worth the price.
Finally, a technical book that respects your time. No fluff, just solid engineering wisdom.
I’ve read dozens of dev books, and this one actually made me excited to refactor legacy code.
The diagrams and flowcharts are top-notch—ideal for visual learners like me.
I’ve read dozens of dev books, and this one actually made me excited to refactor legacy code.
I was skeptical at first, but this book exceeded my expectations. The real-world examples make all the difference.
Clear, concise, and packed with actionable advice—this book is a must-read for any serious developer.
It’s not just a book—it’s a toolbox. I keep coming back to it during code reviews and planning sessions.
Finally, a technical book that respects your time. No fluff, just solid engineering wisdom.