DeepMind Uncovers Key to Boosting Transformer Architecture Accuracy: A Review of Non-Softmax Alternatives
In an era where the transformer architecture continues to revolutionize machine learning, Google DeepMind has made another substantial discovery aimed at enhancing the performance of these cognitive models. Their recent research centered on investigating the point-wise softmax alternatives in transformer architectures has unearthed a significant facet; splitting by sequence length is pivotal for precise accuracy.…