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#60 – Jaime Sevilla on Trends in Machine Learning

Hear This Idea

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How to Measure the Size of a Data Set?

The traditional way to find this has been thinking about like, okay, if we take like an architecture from 10 years ago. And then you can train the same data set and then see how much less compute do you need with a novel architecture? But I don't think that this is best measure of algorithmic progress. Modern architectures are more efficient when they're on really large scales.

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