Table of Contents

1. Fundamentals of Generative AI

1. Define "Artificial Intelligence" and its scope.
2. Summarize the historical development of artificial intelligence.
3. Describe how the capabilities of AI are evaluated.
4. Differentiate between weak (narrow) AI and strong (general) AI.
5. Explain the concept of "machine learning."
6. Describe "artificial neural networks" and their role in AI.
7. Outline the basic functionality of generative AI systems.
8. Define the term "Large Language Model" (LLM).
9. List current application areas for generative AI technologies.

2. Basics of ChatGPT

1. Provide an overview of OpenAI as a company.
2. Explain the purpose and functionality of OpenAI’s GPT models.
3. Discuss the meaning of "General", "Pretrained", and "Transformer" in GPT.
4. Describe how ChatGPT relates to the underlying GPT models.
5. Summarize the development of GPT versions: GPT, GPT-2, GPT-3, GPT-3.5, GPT-4, GPT-4o, and o1.
6. Highlight the potential differences between ChatGPT, Microsoft Copilot, and other generative AI tools.