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Ollaya – Ollama for open-source, Jev-style decision models

618 points · 145 comments · Ardakilic

  1. alex7o · · focus · HN ↗
    Guys I have a real q, what is the difference between an instruct based re-ranker and laya/jev I just don't see it.

    Edit: One is that jev/laya are tuned to have better probabilities, but a reranker can be fine tuned to do that as well. And jev/laya use RLCD?

    1. avereveard · · focus · HN ↗
      Calibrated probability across multi task with zero shot I guess. A reranker is single task and tuning it make it even more narrow. And I guess some piping to make multiclass efficient since you cannot mask logprob for independent questions in the same output space without throwing calibration away.
      1. alex7o · · focus · HN ↗
        If you mean that I can compare the probilities between different tasks fair. This is a thing you can not do with a reranker. This sounds cool but not the amount of hype we got cool
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