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Chinchilla
Last discussed Aug 20, 2026
DeepMind's influential scaling law research (published as a paper) showing optimal compute allocation between model size and training data for large language models.
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Going In Deep On Data | YC Paper Club
Shayne Longpre · Aug 20, 2026
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Shayne Longpre
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vs: Extended Chinchilla's 1D scaling law formulation into a multilingual composit...
"You have to fit scaling laws. Those of you that are familiar with Chinchilla probably remember this — you predict the loss based off of the model size and the amount of data you've trained on and you fit it using these parameters. However, if you ..."
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