Programming, Artificial Intelligence, Machine Learning, Data Science, Python.
attention_mask is used to mask out future positions. We add the input embeddings to the attention output and apply dropout using dropout1. This is the residual connection. We apply layer normalization to the residual output using layer_norm1. We pass the normalized output through the feedforward