Dec 3, 2020

Shrinking massive neural networks used to model language

Posted by in category: robotics/AI

Deep learning neural networks can be massive, demanding major computing power. In a test of the “lottery ticket hypothesis,” MIT researchers have found leaner, more efficient subnetworks hidden within BERT models. The discovery could make natural language processing more accessible.

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