Transformers, Deep Learning, Machine Learning, Editors Pick, Data Science.
for a model to learn embeddings which are complex enough to generate attention scores and subsequent contextualised embeddings; we are trying to condense a lot of information into the embedding dimension, which is usually quite small. Therefore, to make the task slightly easier for the model to