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Clef: Open-weight decision models, and new RL fine-tuning platform

637 points · 217 comments · jasondavies

  1. yipinwong · · focus · HN ↗
    A question someone not trainined in AI/ML field, Is a decision model that easy to crete that there are floods of these JEV alternatives already?

    Or are companies/people already building this based on say an arXiv docs? n

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    The pricing is ... hm more expensive but not at the point I won't give it a try due to the embeded vision encoding

    1. nico · · focus · HN ↗
      The basics are pretty simple. And depending on what your specific need is, the model can be really really basic, fast and super effective (ie. run on a mobile device and process thousands of requests in <100ms)

      I've been playing with this for the last year or so. Started with a personal email classifier, also did benchmarks with some public datasets, then created a couple classifiers that could play Doom, and now I've been trying out some other experiments, like a request proxy/router to automatically choose a classifier and fallback to LLM to handle unseen requests

      Jev did a great job at creating hype, but also at shaping the concept and space of "decision engine" or "decision model". People were already doing this with LLMs, which is very inefficient for most tasks like that, and the Jev guys figured there was a market there. It seems like they were right, and now there's a rush to flood the space, taking advantage of the hype window

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