When I search this topic online, I always find either wrong information or advertising lies. So what is actually something that LLMs can do very well, as in being actually useful and not just outputing a nonsensical word salad that sounds coherent.

Results

So basically from what I’ve read, most people use it for natural language processing problems.

Example: turn this infodump into a bullet point list, or turn this bullet point list into a coherent text, help me with rephrasing this text, word association, etc.

Other people use it for simple questions that it can answer with a database of verified sources.

Also, a few people use it as struggle duck, basically helping alleviate writers block.

Thanks guys.

  • NotAnArdvark@lemmy.ca
    0·
    6 days ago

    I use it to review my meeting notes.

    • “Based on the following daily notes, what should I follow-up on in my next meeting with #SomeTeamTag?”
    • “Based on the following daily notes, what has the #SomeTeamTag accomplished the past month?”
    • etc.

    I’m not counting on it to not miss anything, but it jogs my memory, it does often pull out things I completely forgot about, and it lets me get away with being super lazy. Whoops, 5 minutes before a meeting I forgot about? Suddenly I can follow up on things that were talked about last meeting. Or, for sprint retrospectives, give feedback that is accurate.

    • zqps@sh.itjust.works
      0·
      6 days ago

      While this is something LLMs are decent at, I feel this is only of value if your notes are unstructured, and it presents infosec concerns.

      • NotAnArdvark@lemmy.ca
        0·
        6 days ago

        I guess my notes are unstructured, as in they’re what I type as I’m in the meeting. I’m a “more is better” sort of note taker, so it’s definitely faster to let AI pull things out.

        Infosec … I guess people will have to evaluate that for themselves. Certainly, for my use case there’s no concern.