• anton@lemmy.blahaj.zone
    link
    fedilink
    English
    arrow-up
    0
    ·
    3 months ago

    If you change the tokenizer you have to retrain from scratch, but you can do so with the old, unpolluted data.

    It’s genius if you think about it,* you can waste energy and tell your investors it’s a new better model, while staying upstream from the river you pollute.
    * at least for consultants, compute providers and other middle men.

    • UnseriousAcademic@awful.systems
      link
      fedilink
      English
      arrow-up
      1
      ·
      3 months ago

      I remember one time in a research project I switched out the tokeniser to see what impact it might have on my output. Spent about a day re-running and the difference was minimal. I imagine it’s wholly the same thing.

      *Disclaimer: I don’t actually imagine it is wholly the same thing.