• gaylord_fartmaster@lemmy.world
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    8 months ago

    If we had that, LLMs could just improve themselves directly, bypassing any need for prompt engineering in the first place.

    Yep, exactly, and it’s been studied and put in to practice effectively already.

    Prompt tuning is not the only way to fine tune the output of an LLM, and since the goal for most is going to be to make them usable by anyone, that’s going to be the least desirable route.

    • Blóðbók@slrpnk.net
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      8 months ago

      I know LLMs are used to grade LLMs. That isn’t solving the problem, it’s just better than nothing because there are no alternatives. There aren’t enough humans willing to endlessly sit and grade LLM responses.

      • realharo
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        8 months ago

        Yes there are, in addition to the thumbs up/down buttons that most people don’t use, you can also score based on metrics like “did the person try to rephrase the same question again?” (indication of a bad response), etc. from data gathered during actual use (which ChatGPT does use for training).

        • Blóðbók@slrpnk.net
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          8 months ago

          Firstly, I’m willing to bet only a minority of users regularly use those buttons. Secondly, you’re talking about the most popular LLM(s) out there. What about all the other LLMs almost nobody is using but are still being developed/researched? Where do they find humans willing to sit and rate all the garbage their LLM puts out?