What this chapter covers
Machine learning explained to a manager: learning from examples, classification, clustering, prediction, and how models are evaluated. From deep learning to large language models: tokens, embeddings, context, why models hallucinate. Retrieval Augmented Generation and company knowledge. Agents: models that plan, use tools and act, with humans in the loop. Where AI works and where it does not: the jagged frontier.
What changes with AI
This is the chapter where AI is the subject.
Seen in class
- The same question answered without and with company documents (RAG), with the passages used highlighted.
- An agent at work from the terminal: the plan, each tool call, the moment it stops and waits for a person, the log it leaves.
Materials and practice
SlidesAvailable after class
HandoutAvailable after class
Self-CheckQuiz and exam practiceExerciseA worked case with solution