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Reducing the carbon footprint of artificial intelligence
- gigama 6y ago"The researchers invented an AutoML system that trains only a single, large 'once-for-all' (OFA) network that serves as a 'mother' network, nesting an extremely high number of subnetworks that are sparsely activated from the mother network. OFA shares all its learned weights with all subnetworks — meaning they come essentially pretrained. Thus, each subnetwork can operate independently at inference time without retraining."