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We've got proven that by trading off 2-D knowledge for scale[^reference-sixty] and by picking out predictive options from the center on the network, a sequence transformer may be aggressive with top rated convolutional nets for unsupervised image classification.Sophia is interviewed in exactly the same fashion like a human, hanging up conversation