Transformers, Deep Learning, Machine Learning, Editors Pick, Data Science.
activations for each sequence, preventing them from becoming too large or too small during training; which can lead to gradient-related issues like vanishing or exploding gradients. This stability is crucial for effectively training very deep transformer models. Skip connections: Like in ResNet