‹ BackHN Continuity

Thread

Ember-1

589 points · 249 comments · gmays

  1. nico · · focus · HN ↗
    > The problem: thinking models think too much

    This is partly the appeal of Jev et al; having a quick model for simple tasks, that doesn’t require that much thinking

    It’s amazing all the workflows that models like that can unlock. And yes, classifiers and other ML models have been around for a while for these types of tasks, but Jev has made it easy and cheap to play and experiment. This in turn, is incentivizing people to try them for a bunch of stuff, unlocking creativity and producing a lot of new cool (and eventually potentially very useful) applications

    1. demibabs · · focus · HN ↗
      What are the useful applications of Jev so far? Not to sound dismissive, I just haven’t seen what people are using it for yet.
      1. grosswait · · focus · HN ↗
        LLMs can be too creative and often too verbose. Sometimes there is a right answer and a way to get there with the understanding of language, but despite using structured outputs, the model insists on inventing variations not in the schema or coming up with something completely different. A model like Jev that can not do those things, and can give the same output every time with given the same input, and be able to measure probabilities has many use cases.
Open on Hacker News to reply ↗

Unofficial Hacker News client; not affiliated with Y Combinator.