- ISBN: 9798291798089
- Published: July 10, 2025
- Pages: 345
- 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
- Real-world examples and case studies
- Strategies for fault tolerance and recovery
- Companion website with code samples
- Deployment strategies across environments
- Best practices from industry experts
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
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.
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.
The writing style is engaging without sacrificing depth. I didn’t expect to enjoy it this much.
I was skeptical at first, but this book exceeded my expectations. The real-world examples make all the difference.
The author explains complex concepts in a way that's accessible to beginners but still valuable for experienced devs.
I’ve read dozens of dev books, and this one actually made me excited to refactor legacy code.
I appreciated the balance between theory and implementation. It’s rare to find both done well.
This is now my go-to reference for best practices. The code samples alone are worth the price.
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.
I appreciated the balance between theory and implementation. It’s rare to find both done well.
This is now my go-to reference for best practices. The code samples alone are worth the price.
This is now my go-to reference for best practices. The code samples alone are worth the price.
I was skeptical at first, but this book exceeded my expectations. The real-world examples make all the difference.