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BigBird is a transformer-based neural network architecture designed to efficiently process long sequences by extending the standard attention mechanism with sparse attention patterns. It enables scalable natural language processing and other sequence modeling tasks.
A Sparse Transformer is a variant of the Transformer neural network architecture that employs sparse attention mechanisms to reduce computational complexity, enabling efficient processing of long sequences.
The Routing Transformer is a variant of the Transformer architecture designed to improve efficiency in handling long sequences by routing tokens dynamically to sparse attention patterns. It reduces computational complexity while maintaining performance in natural language processing tasks.