Transformers, Deep Learning, Machine Learning, Editors Pick, Data Science.
of creating positional embeddings, the main idea is that we have another set of embeddings which represent the position of each token in the input sequence, which are combined with our token embeddings. The other issue is that tokens can have different meanings depending on the tokens that surround