Quick test, small models
The universal cover of a doughnut
，这一点在safew官方下载中也有详细论述
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.
Also introductory talks are available, e.g. Balancing Coupling in Software Design - Vlad Khononov - DDD Europe 2023 https://www.youtube.com/watch?v=KTy4rqgPOjg
，更多细节参见PDF资料
Названо число отправившихся на СВО фигурантов уголовных дел15:00
Крупнейшая нефтяная компания мира задумалась об альтернативе для морских перевозок нефти14:56，更多细节参见电影