• guitars are real@sh.itjust.works
    link
    fedilink
    English
    arrow-up
    26
    ·
    edit-2
    11 months ago

    Everyone likes to trash machine learning because the power requirements are high, but what they don’t realize is that we’re in the very first days of this technology (well, first couple decades of the technology being around, first few years of it being advanced enough to have anything to show off). Every technology that got bundled together into your phone was equally as useless when it was first invented. Honestly, compared to the development of most other technologies I’ve looked at, the pace of development in AI has been shocking.

    Literally once a week, I see some news story about AI researchers delivering an order of magnitude speedup in some aspect of AI inference. The technique described here apparently allows for a 20x speedup on GPU’s.

    • cybersandwich@lemmy.world
      link
      fedilink
      English
      arrow-up
      10
      ·
      11 months ago

      Whispercpp works off the ML cores on the m series chips. It’s faster than my 1080ti that I have in a server doing the same things–by orders of magnitude. And it sips power.

      Purpose built chips can be super powerful for their specific purposes.