"How do you ensure the answer you get from an LLM is not a hallucination?" Intent parsing and speech recognition both frequently return inaccurate responses. I

"How do you ensure the answer you get from an LLM is not a hallucination?" Intent parsing and speech recognition both frequently return inaccurate responses. It is true that with an LLM it can return something that is sensible but invented, where other systems typically return less inventive wrong answers. With any of these systems you want to balance the probability of an incorrect interpretation against the impact of the action being taken, and get confirmation based on that. That's pretty normal engineering and UX.