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#60 – Jaime Sevilla on Trends in Machine Learning

Hear This Idea

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Scaling Up Performance of ML Models

The availability of even high quality data historically hasn't been a major bottleneck on scaling up performance of ML models. For the very top models, these days focusing on context, they are kind ofData sets that are being used are short of like a trillion words and training data. And it seems likely that we're going to hit the limits at, uh, around, some, somewhere in this decade.

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