Explained, AI, Transformers, Llm, Research.
on that later. After self-attention, the decoder also follows with an “add and normalization” step, just like the encoder. This step helps stabilize the learning by normalizing the data, making sure the transformations don’t push the values too far off the scale. The cross-attention layer is the