• PhilipTheBucket@ponder.cat
    link
    fedilink
    English
    arrow-up
    2
    arrow-down
    1
    ·
    1 年前

    Converting from one format to another, it can do like gangbusters. I wouldn’t trust it to summarize stuff from its training data, it can do a little bit better with summarizing stuff you give it, but just mechanically finding the text and putting it verbatim into a different markup it’s pretty capable with.

    • ComradeMiao@lemmy.dbzer0.com
      link
      fedilink
      English
      arrow-up
      3
      ·
      1 年前

      Even reformatting has caused me issues. My best example is I gave it 100 citations in a non standardized format and asked for MLA. It returned 100 in MLA but randomly 10 of the books were made up. It decided to delete ten I sent at random and make them up instead of just giving me what I sent

      • PhilipTheBucket@ponder.cat
        link
        fedilink
        English
        arrow-up
        2
        arrow-down
        1
        ·
        1 年前

        Oh… yeah, you might have a point. Beyond a certain size of repeated things, it sometimes goes haywire, I’ve seen that.

        • ComradeMiao@lemmy.dbzer0.com
          link
          fedilink
          English
          arrow-up
          2
          ·
          1 年前

          I didn’t consider length! That’s a good point too

          Another goofy example is I asked it a python question using a specific package import . I sent a big chunk of code. It answered using a package I wasn’t even importing breaking everything. It could never figure it out either lol

          • PhilipTheBucket@ponder.cat
            link
            fedilink
            English
            arrow-up
            2
            ·
            1 年前

            Yeah, that kind of thing requires reasoning, and it goes awry almost immediately. It’s still pretty useful for generating snippets of boilerplate or finding stuff in big chunks of code, but I more or less gave up on having it actually create anything nontrivial in code.