You just run the same query a bunch of times and see how consistent the answer is.
A lot of people are developing what I’d call superstitions on some way to overcome LLm limitations. I remember someone swearing they fixed the problem by appending “Ensure the response does not contain hallucinations” to every prompt.
In my experience, what you describe is not a reliable method. Sometimes it’s really attached to the same sort of mistakes for the same query. I’ve seen it double down, when instructed a facet of the answer was incorrect and to revise, several times I’d get “sorry for the incorrect information”, followed by exact same mistake. On the flip side, to the extent it “works”, it works on valid responses too, meaning an extra pass to ward off “hallucinations” you end up gaslighting the model and it changes the previously correct answer as if it were a hallucination.
I spent way too long ignoring the park and rides at major events. Then I started paying attention and they always had them and it was always so much nicer. No more excessively long walking, no more mpossible traffic getting in and out.
As long as the event clearly highlights park and ride options, it’s fantastic and has been going on forever. These events pay the bus charter companies to generally provide rides free of charge to the riders.