The reasoning is by being polite the LLM is more likely to stay on a professional path: at its core a LLM try to make your prompt coherent with its training set, and a polite prompt + its answer will score higher (gives better result) than a prompt that is out of place with the answer. I understand to some people it could feel like anthropomorphising and could turn them off but to me it's purely about engineering.
Edit: wording
> The reasoning is by being polite the LLM is more likely to stay on a professional path
So no evidence.
> If the result of your prompt + its answer it's more likely to score higher i.e. gives better result that a prompt that feels out of place with the answer
Sure seems like this could be the case with the structure of the prompt, but what about capitalizing the first letter of sentence, or adding commas, tag questions etc? They seem like semantics that will not play any role at the end
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I remember studies that showed that being mean with the LLM got better answers, but by the other hand I also remember an study showing that maximizing bug-related parameters ended up with meaner/malignant LLMs.
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