AI Fundamentals and the Generative Ecosystem
Understand the probabilistic nature of LLMs, why hallucinations happen, and how to apply human oversight at work.
Contents of this module
- How does a Large Language Model (LLM) actually "think"?
- The Token Lab: bet against the model
- Check: Trusting AI-Generated Answers
- The Randomness Dial: why the same question gets different answers
- The three faces of hallucination
- Practical Case: The Report with a Nonexistent Citation
- The "Human-in-the-Loop" principle and automation bias
- Module 1 Mastery Assessment
