Module 02 · Understanding AI & Generative AI
Module check
16 statements, one from each chapter of the module. Call each one myth or fact. Take it once before the module and again after it: the difference is what the module taught you. Your scores stay in this browser.
- If a vendor calls a product "AI-powered", you know what capability you are buying. From What Exactly Is Artificial Intelligence?
- Automation is older technology that AI will replace. From AI vs Automation
- Machine learning is another name for AI. From AI vs Machine Learning
- There is one official list of the types of AI. From The Major Types of AI
- A model that is right on every training example will do well on new cases. From How Machine Learning Learns
- Deep learning is another word for AI. From Deep Learning — The Executive Mental Model
- An AI assistant learns from every conversation it has. From Training vs Inference
- More data always makes an AI system better. From Data, Models and Compute
- A foundation model is defined by its size. From Foundation Models
- An LLM stores the documents it was trained on and looks answers up in them. From Large Language Models
- Tokens and embeddings are two names for the same thing. From Tokens, Context and Embeddings
- A model that can read images can also create them. From Multimodal AI
- A generative AI system finds a stored answer and sends it back. From How Generative AI Works
- A sufficiently good prompt can make a weak model perform any task. From Prompting and Context Engineering — Executive Mental Model
- RAG gives the model access to the whole enterprise. From RAG and Enterprise Knowledge — Executive Mental Model
- A system that drafts excellent replies to customer emails is an AI agent. From From AI Assistants to AI Agents