Transformer models do not contain recurrence or convolution. To enable the model to account for the order of the sequence, it is necessary to inject information about the relative or absolute positions of the tokens within the sequence. This positional information enhances the model's sensitivity to positional variations, allowing it to effectively reason about the … Continue reading Positional Encoding