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Previously, we might use machine learning in a few sub-components of a system. Now we actually use machine learning to replace entire sets of systems, rather than trying to make a better machine learning model for each of the pieces.

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Jeff Dean

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Some things are easier to parrellelize than others. It’s pretty easy to train up 100 models and pick the best one. If you want to train one big model but do it on hundreds of machines, that’s a lot harder to parallelize.

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There’s a lot of potential for machine learning all around the world. We’re seeing it in academia, at other companies, in government.

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May 3, 2024

There’s a lot of potential for machine learning all around the world. We’re seeing it in academia, at other companies, in government.

Previous

May 3, 2024

Some things are easier to parrellelize than others. It’s pretty easy to train up 100 models and pick the best one. If you want to train one big model but do it on hundreds of machines, that’s a lot harder to parallelize.

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