Thread

1. Oras · 1789820747 · focus · HN ↗

   I played around with Jev last night and did it for classification tasks that I used Gemini 2.5 flash lite with.

   It’s a bit faster and bit cheaper, but this is compared to LLM. The consistency was nice to see, BUT, as someone who trained NLP models prior to LLMs, it’s just BERT with more data. I can see why people would want ready made one shot classifier, and I can see the value of sending multiple classifier in one call, but I wouldn’t call it breakthrough. And I believe many labs will replicate it in no time and might have it as part of their harness.

   I see it as a wake up call for the tech community to go back to basics for most tasks instead of relying solely on generic LLMs.

   1. astrostl · 1789834282 · focus · HN ↗

      > it’s just BERT with more data

      Let's take that as a given. Is BERT with more data not useful?

      > I can see why people would want ready made one shot classifier, and I can see the value of sending multiple classifier in one call, but I wouldn’t call it breakthrough

      Are those things that people want less useful because of what someone else calls it?

      > I see it as a wake up call for the tech community to go back to basics for most tasks instead of relying solely on generic LLMs.

      Maybe, or maybe to use Jev, which is useful?

      Whether something is overmarketed or undermarketed, novel or derivative, it does not change its function.

      1. Oras · 1789836616 · focus · HN ↗

         I made it clear that it is useful and I can see many people using it including myself. My point is it’s not a breakthrough.

         1. tomrod · 1789841281 · focus · HN ↗

            If nothing else, it's a popularity breakthrough to have people excited about it.

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