Question: What function does self - attention serve in Transformer models? It compresses the input sequence into a fixed - size representation. It allows the model

What function does self-attention serve in Transformer models?
It compresses the input sequence into a fixed-size representation.
It allows the model to selectively attend to different parts of the input sequence and compute the weighted sum of values based on similarity.
It captures syntactical and semantic meaning in the input sentence.
It converts words into word embeddings.

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