- ISBN: 9798291798089
- Published: July 10, 2025
- Pages: 441
- 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.
- Modular design principles for maintainability
- Security considerations for distributed systems
- Scenarios for scaling teams and systems in tandem
- Visual diagrams for complex flows
- Real-world examples and case studies
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.
This book completely changed my approach to coding. The examples are practical and easy to follow.
The writing style is engaging without sacrificing depth. I didn’t expect to enjoy it this much.
The writing style is engaging without sacrificing depth. I didn’t expect to enjoy it this much.
I've been recommending this to all my colleagues. The insights on architecture patterns are invaluable.
Finally, a technical book that respects your time. No fluff, just solid engineering wisdom.
Clear, concise, and packed with actionable advice—this book is a must-read for any serious developer.
I've been recommending this to all my colleagues. The insights on architecture patterns are invaluable.
Every chapter feels like a mentorship session with someone who’s been in the trenches.
I appreciated the balance between theory and implementation. It’s rare to find both done well.
It’s not just a book—it’s a toolbox. I keep coming back to it during code reviews and planning sessions.
This is now my go-to reference for best practices. The code samples alone are worth the price.