The following are the answers to the questions given at the end of each chapter.
Chapter 1, A Primer on Transformers
The steps involved in the self-attention mechanism are given here:
First, we compute the dot product between the query matrix and the key matrix and get the similarity scores.
Next, we divide by the square root of the dimension of the key vector.
Then, we apply the softmax function to normalize the scores and ...
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