Contents
1. Fundamentals
- Introduction to Generative AI and ChatGPT
- Understanding NLP and ChatGPT's language generation capabilities.
- How does ChatGPT differ from other chatbots?
2. ChatGPT Architecture
- Supervised model
- Human reinforcement learning
- Proximal Policy Optimization
3. Applying ChatGPT
- 4 Rules for Working with Generative AI
- 5-question framework for writing a good prompt. Including testing and iteration.
4. Integration of ChatGPT
- Critical thinking regarding ChatGPT business cases
- Ways to integrate ChatGPT into workflows.
5. Limitations, Risks, and Business Guidelines
- Limitations, risks, and business guidelines
- Ethical guidelines and legal considerations
