A backpropagation algorithm, or backward propagation of errors, is an algorithm that's used to help train neural network models. The algorithm adjusts the network's weights to minimize any gaps -- ...
A community-run open benchmark has produced the first reproducible evidence that transformer language models can be pretrained without backpropagation and achieve validation loss lower than Adam, the ...