Moving beyond traditional backpropagation for transformer pretraining opens up fascinating avenues for alternative learning dynamics and architectural efficiency.
Moving beyond traditional backpropagation for transformer pretraining opens up fascinating avenues for alternative learning dynamics and architectural efficiency.