What is the role of keys in the attention mechanism?

Together, they work in tandem to enable the attention mechanism to effectively process the input embeddings and perform various tasks. Also: keys are responsible for establishing connections and relationships between queries and input embeddings. I'm going to try provide an English text example.

Which key gets the most weights in the attention mechanism?

In the attention mechanism, if a query is most similar to say, key 1 and key 4, then both these keys will get the most weights, and the output will be a combination of value 1 and value 4. F igure 8 shows the steps required to get to the final attention value from the query, keys, and values. Each step is explained in detail below.

What is the attention mechanism?

The Attention mechanism is a neural architecture that mimics this process of retrieval. The attention mechanism measures the similarity between the query q and each key-value k i. This similarity returns a weight for each key value. Finally, it produces an output that is the weighted combination of all the values in our database.