Once you’ve trained your large language model on the entire written output of humanity, where do you go? Here’s Ilya Sutskever, ex-OpenAI, admitting to Reuters that they’ve plateaued: [Reuters] The…

I’m usually the one saying “AI is already as good as it’s gonna get, for a long while.”

This article, in contrast, is quotes from folks making the next AI generation - saying the same.

  • @[email protected]English
    1•1 month ago

    I don’t think Qwen was trained with distillation, was it?

    It would be awesome if it was.

    Also you should try Supernova Medius, which is Qwen 14B with some “distillation” from some other models.

    • @[email protected]English
      1•1 month ago

      Hmm. I just assumed 14B was distilled from 72B, because that’s what I thought llama was doing, and that would just make sense. On further research it’s not clear if llama did the traditional teacher method or just trained the smaller models on synthetic data generated from a large model. I suppose training smaller models on a larger amount of data generated by larger models is similar though. It does seem like Qwen was also trained on synthetic data, because it sometimes thinks it’s Claude, lol.

      Thanks for the tip on Medius. Just tried it out, and it does seem better than Qwen 14B.

      • @[email protected]English
        1•1 month ago

        Llama 3.1 is not even a “true” distillation either, but its kinda complicated, like you said.

        Yeah Qwen undoubtedly has synthetic data lol. It’s even in the base model, which isn’t really their “fault” as its presumably part of the web scrape.