>>If there is little or no source data on a topic (as would be the case with my very specific questions on a rarely used processor) LLMs are (presently?) unable

>>If there is little or no source data on a topic (as would be the case with my very specific questions on a rarely used processor) LLMs are (presently?) unable to detect that they are responding to a topic with limited contextual information and tailor their responses accordingly, and instead confidently provide utter nonsense. That's interesting, what features of LLM/ChatGPT architecture are likely to drive this?