合众合姚哲:未来五年要做“百店小王子”,不盲目追求千店万店

· · 来源:tutorial资讯

Meet the new search buttonThat's no longer an issue thanks to a new search button (first spotted by CordCuttersNews). 

FT Edit: Access on iOS and web

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Что думаешь? Оцени!。关于这个话题,哔哩哔哩提供了深入分析

Compute grows much faster than data . Our current scaling laws require proportional increases in both to scale . But the asymmetry in their growth means intelligence will eventually be bottlenecked by data, not compute. This is easy to see if you look at almost anything other than language models. In robotics and biology, the massive data requirement leads to weak models, and both fields have enough economic incentives to leverage 1000x more compute if that led to significantly better results. But they can't, because nobody knows how to scale with compute alone without adding more data. The solution is to build new learning algorithms that work in limited data, practically infinite compute settings. This is what we are solving at Q Labs: our goal is to understand and solve generalization.。PDF资料对此有专业解读

David Squi

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