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Abdalsamad Keramatfar · Follow 4 min read · -- Positional encoding is a type of representation used to specify the position of a token in transformer models. The need for positional encodings arises from the removal of recurrence in RNNs, which makes transformers more efficient. While there are many variants of positional encodings, this post aims to explain my understanding of this concept as introduced in the Attention is All You Need paper.
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