Table of Contents

1. A Brief Overview of ML and AI
2. Evolution of Machine Learning
3. Development of Generative Models
4. Rise of GPT and Transformer-Based Models
5. Transformer-based Models in Prompt Engineering
6. Transformer Architecture Concepts
7. The Prompt Ecosystem
8. Prompt Types In-Depth
9. Understanding Tokens
10. Efficiency in Prompt Engineering
11. Critical Role of Syntax
12. Techniques and Strategies for Prompt Engineering
13. Challenges of Quality Prompts
14. Tools and Platforms for Prompt Engineering
15. Ethics in Artificial Intelligence
16. Finances of Prompts and Cost Management
17. Future Directions and Challenges of AI and ML
18. Legal Framework for Artificial Intelligence
19. Practical Examples of Chatbots and AI Systems