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"Ah, such a clear and easy prompt for me to follow. Thank you, user." There might be a tiny ghost in an LLM machine, but it's very unlikely that it has the deg
by exo-pla-net 3y ago
"Ah, such a clear and easy prompt for me to follow. Thank you, user."
There might be a tiny ghost in an LLM machine, but it's very unlikely that it has the degree of self-awareness required to assess whether or not a prompt was, in its own experience, unambiguous. It's a reflection of its training data, and it has no or little sense of self.
- professoretc 3y agoBut it could, perhaps, compute something like the degrees of freedom the prompt allowed. If, in choosing how to complete the prompt, it had to choose between a huge number of different responses, perhaps that's an indication that the prompt is not precise enough? (Of course, even the most precise prompt is still going to allow for a huge number of variations in response, so you'd have to scale the actual numbers down quite a bit for them to be useful.)