Perhaps I’m misunderstanding the law or article, but wasn’t the author implying that the act of inference on an LLM model itself is a sort of “statistical experiment”:
> In probability theory, the law of large numbers (LLN) is a theorem that describes the result of performing the same experiment a large number of times.
And so the mean in this case is “perceived like a real human”?
> In probability theory, the law of large numbers (LLN) is a theorem that describes the result of performing the same experiment a large number of times.
And so the mean in this case is “perceived like a real human”?