Mini toolsDefinition
A technique used in transformer models to incorporate sequence order information into position-independent attention mechanisms. It adds position-dependent signals to input embeddings.
Detailed Explanation
Positional encoding adds information about token positions in a sequence using sinusoidal functions or learned embeddings. This is crucial for transformer models which otherwise have no inherent way to understand sequence order. The encoding allows the model to consider both the content and position of tokens when processing sequences.
Use Cases
Transformer models Language processing Speech recognition Sequential data processing
