Speaker unverified: uncertainty

Transcript context

…Do you have any other thoughts on the more synthetic data focused models, kind of like a Nemotron? I think folks were asking if you see that as an interesting direction to kind of having specific synthetic data generation things. I don't know about this model exactly, but I think like LlamaT had better performance overall. I'm very bullish on synthetic data generation, but I think just gets better when you have a better model. I'm not really bullish on having like a model only for synthetic data generation. I understand the need of having like bigger models, but then you can rationalizing, yeah, maybe people will not use them for inference, but to distillate some specific knowledge of synthetic data. That narrative is, I think I totally agree with that, but having a model purely for that and not like good at other things, I don't think it's the case. That makes sense. One of the architecture questions that I forgot to mention in there was, so just the architecture choice of like a very big, you know, 400B dense model, I actually honestly thought that maybe 175 or like, you know, was kind of the peak, you know, whatever can fit on like an H100. So basically I think the common question that people have is like, why no MoE? In a way that Mistral and the others have gone and, you know, it seems like the trend has been MOEs and you guys have bucked the trend there.…

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