Hallucination — Model Hallucination
Definition: Confident, fluent output from a model that is factually wrong. The single biggest reason AI features ship and then quietly get rolled back — and the reason grounding, retrieval, and evals are non-negotiable.
Example
The legal team killed the launch the moment one demo hallucinated a citation — we shipped six weeks later with retrieval grounding bolted on.
When you'll hear it
Hallucination shows up most often in AI strategy reviews, model evaluation discussions, and product roadmap meetings. When someone uses it, they're usually referring to model hallucination — and they expect the room to already know what that means.
FAQs
What does Hallucination stand for?
Hallucination stands for Model Hallucination.
What does Hallucination mean in AI and machine-learning?
Confident, fluent output from a model that is factually wrong. The single biggest reason AI features ship and then quietly get rolled back — and the reason grounding, retrieval, and evals are non-negotiable.
Where will I hear Hallucination used at work?
Hallucination comes up most often in AI strategy reviews, model evaluation discussions, and product roadmap meetings. It's used as shorthand for model hallucination, so people assume you already know the term.