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  "text": "We’ve been thinking a lot about scaling laws, wondering if there is a more effective way to scale FLOPs without increasing parameters.\n\nTurns out the answer is YES – by looping blocks of layers during training. We find that predictable scaling laws exist for layer looping, allowing us to use looping to achieve the quality of a Transformer twice the size.\n\nOur scaling laws suggest that for a fixed parameter budget, data and looping should be increased in tandem!\n\n🧵👇",
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