readme.md

The code is divided by chapters in the chapters folder. Each chapter has its own folder. The code is mostly independent at a chapter level to make it simple to read along when going through the book. We presume that you have all the dependencies and the environment ready - if not please refer to the installation instructions for details.

The chapters correspond to the book of course and are arranged as follows:

• Chapter 1 - Introduction to Generative AI 💾
• Chapter 2 - Introduction to LLMs 👓
• Chapter 3 - Generating Text 📝
• Chapter 4 - Generating Images 🖼️
• Chapter 5 - What else can AI Generate? 🤔
• Chapter 6 - Guide to Prompt Engineering 💬
• Chapter 7 - RAG - The Secret Weapon 🤫
• Chapter 8 - Chatting with your data 💬
• Chapter 9 - Tailoring Models with Model Adaptation and Fine-Tuning 🔌
• Chapter 10 - Application Architecture for Gen AI Apps 👏
• Chapter 11 - Scaling Up: Best Practices for Production Deployment 💽
• Chapter 12 - Evaluations and Benchmarks ✅
• Chapter 13 - Guide to Ethical GenAI: Principles, Practices, and Pitfalls 😇