Artificial Intelligence, Deep Learning, Machine Learning, Neural Networks, Math.
Conceptual Framework: Sparse attention reduces computational demands by limiting the number of interactions between tokens. Locality-Sensitive Hashing groups tokens into buckets where only intra-bucket interactions are computed, thereby sparsifying the attention matrix. Mathematical Formulation: