[choilive]

Theres actually even more subtlety here, in all of your examples the "knowledge" should theoretically be embedded nearby each other in the same vector space, so regardless of the style of language used, semantically they should all pull from similar weights, and thus give similar answers. This is one of the reasons why LLMs are so powerful.. because they seemingly understand the semantic relationships of words so regardless if the prompt is posed casually or formally it should give similar answers in terms of factuality. I agree with you that LLMs today should be primarily used for more creative output.

[bsenftner]

That assumes that street slang discussions, using entirely different conceptualizations of ideas, would indeed be embedded nearby one another. Plus, both the street slang and ordinary language will tend to treat the information in a less precise, a less concept discriminating manner (meaning the subtle distinctions between issues may be lost in their discussions). In my tests, I find one indeed needs to use the subject matter expert for precise treatment of formal knowledge and generated answers that are more accurate.