Series

Achieve 94% accuracy on CIFAR-10 in just 3.29 seconds using a single NVIDIA A100 GPU, scaling up to 96% in 46.3 seconds with advanced techniques. Integrate strategies like patch-whitening, identity initialization, higher learning rate for biases, Lookahead optimization, multicrop TTA, and alternating flip for augmentation. Utilizing torch.compile for efficient GPU usage, this method significantly speeds up ML experiments and reduces costs, showing a 1.9× speed boost over previous records. Learn how these techniques can generalize across small-scale tasks and contribute to rapid model training.