Çubuk: Deep learning scaling laws apply to quantum mechanics and materials
Doğuş Çubuk (Doj Chubuk) · Can AI revolutionize materials discovery? · Sep 19, 2024 · at 35:49
Doğuş Çubuk, a research scientist at Google DeepMind, discusses how deep learning model performance scales predictably with dataset size across physics and materials science.
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“The more training data you put into LLMs, the better results you get, and how much better your results are actually predictable. It's kind of like a power law. This comes back from, you know, a paper from Baidu Research from back in 2016, I think, and it seems to apply to all kinds of deep learning, including quantum mechanics and material science.”
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