#60 – Jaime Sevilla on Trends in Machine Learning
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Using ML Models to Scale Up Machine Learning Systems
Up until 2010, what you observed is that the amount of compute use from machine learning models increased just in line with this Moore's law. Then we have a second era starting around 2010 morning where it increases faster and the memory of the doubling time of compute use. Around that time, our paper found a six month doubling time. That means like every year, the amount of computing used to train this state of the art machine learning systems is like four times as much.
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