Transformers, Pytorch, Machine Learning, Deep Dives, Data Science.
0.7*d["dog"] + 0.1*d["bear"] This is basically what attention is about : looking at different parts of your data, and blend them to obtain a synthesis as an answer to your query. The relevant part of the code is this one, where we compute the attention weights between the query and the keys logits