Using LLM for confidence scoring is a bad idea

(rumple.github.io)

14 points | by jimauthors 22 hours ago

2 comments

  • hexapus 17 minutes ago
    I think it's good to continually remind oneself that these are next-word/token-predictors...you can wrap them up in a harness, you can feed them into each other, you can influence the likelyhood of a given word through weights and system prompts...but that's literally all they can do. They can't reason, but they can predict what reasoning looks like.

    None of this means they can't be useful tools, but when they fall down, we should remind ourselves of why that is, and be honest with ourselves about what they could ultimately be capable of.

    • greenflag 14 minutes ago
      What is the difference between reasoning and predicting what reasoning would look like?
      • phyzome 5 minutes ago
        The same as the difference between a thing and a statistical model of a thing.

        They don't always match up.

  • 4b11b4 4 minutes ago
    Yeah, using them for any (most) subjective task is generally incorrect