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I built non-autoregressive decision models with RL a year ago

1363 points · 319 comments · nandakishor_ml

  1. prometheus1992 · · focus · HN ↗
    I think the main gripe that people had with Jev and Typesafe was the language used when they launched. To me personally it seemed like a parody/con/shady at first.

    "Breakthrough", "our research went in another direction" , "Two years in stealth", "System One thinking model", "Jev can't hallucinate", "RLCD","We are doing very cool stuff, but we will have to hire you to tell you", - these are some of the things that they said on their website on the launch blog.

    I had used versions of bert to achieve the same functionality years ago. But to me it seems like they were able to trick the VCs with "can't hallucinate" etc.

    To the above author, kudos for sharing your work and making it open. Something like this shouldn't be closed in the first place when it has been available for so many years

    1. yojo · · focus · HN ↗
      Is this equivalent though? The Laya article ends with “ Treat Laya as a fast foundation model to specialize, not as an omniscient zero-shot oracle.”

      I have a dozen different things at work that are currently using LLMs as classifiers for different questions. I don’t have the time, data, or resources to fine tune a model for each of them.

      I haven’t had a chance to plug in Jev yet (waiting on approvals), but if it has the general intelligence claimed in the press release, then Laya is in no way comparable for my use case, and whatever TypeSafe has done is a substantial innovation over the Laya paper.

      1. dwa3592 · · focus · HN ↗
        hey, you might wanna try this? - <a href="https:&#x2F;&#x2F;github.com&#x2F;deepanwadhwa&#x2F;OpenDecision" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;deepanwadhwa&#x2F;OpenDecision

        it&#x27;s very similar to jev&#x27;s api and runs locally - if you like it, you can try jev for your actual usecases.

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