Classical QA assumes the same input always produces the same output. LLMs break that assumption: outputs are samples from a distribution, and pass criteria shift as you read more of them. After this module you can explain exactly what changed, and keep evals, monitoring, and guardrails straight when your team uses them interchangeably.