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Jeff – Jev-compatible 0.8B decision models, trained at home, ~30 ms

575 points · 225 comments · firelex

  1. m11a · · focus · HN ↗
    It sounds like Jev is not a generative model. If true, I don’t understand these clones which fine-tune a generative model, which appears to not be what Jev is doing.
    1. blueblazin · · focus · HN ↗
      I think you may be confusing autoregressive and generative. But that can just mean it's a BERT-like encoder model that outputs a single vector for the given input tokens. To make it sound even more "novel" you can say it's a bidirectional encoder-only transformer model which modern LLMs are not and sell that as something revolutionary.
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