They're trained (and possibly scripted) to not "know" things or not be able to do things. But at their core, they're going to generate the most plausible conti

They're trained (and possibly scripted) to not "know" things or not be able to do things. But at their core, they're going to generate the most plausible continuation, even if that isn't very plausible (like non-existent functions). I think this can be improved (playing with the temperature in self hosted models depending on the nature of the task e.g.), but it doesn't seem fully solvable with current LLMs.