Understanding Transformers Part 4: Introduction to Self-Attention

In the

Now, let’s get the positional encoding for both words.

Once these relationships are calculated, they are used to determine how each word is represented.

For example, if “it” is more strongly associated with “pizza”, then the similarity score for pizza will have a larger impact on how “it” is encoded by the transformer.

We have now covered the basic idea of self-attention. We will explore it in more detail in the next article.

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