- ISBN: 9798291798089
- Published: July 10, 2025
- Pages: 317
- 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.
- Step-by-step walkthroughs of core components
- Modular design principles for maintainability
- Companion website with code samples
- Best practices from industry experts
- Security considerations for distributed systems
- Real-time data flow and event-driven design
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.
As a senior developer, I found this book refreshing. It covers advanced topics without being overly academic.
Clear, concise, and packed with actionable advice—this book is a must-read for any serious developer.
I appreciated the balance between theory and implementation. It’s rare to find both done well.
The section on API design alone saved me hours of refactoring. Brilliantly structured.
This helped me rethink how I approach scalability and modularity in my projects.
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.
I’ve read dozens of dev books, and this one actually made me excited to refactor legacy code.
The author explains complex concepts in a way that's accessible to beginners but still valuable for experienced devs.
This helped me rethink how I approach scalability and modularity in my projects.