2024
Block Transformer: Global-to-Local Language Modeling for Fast Inference
NeurIPS 2024poster
We introduce the Block Transformer which adopts hierarchical global-to-local modeling to autoregressive transformers to mitigate the inference bottlenecks associated with self-attention. Self-attention requires the key-value (KV) cache of all previous sequences to be retrieved from memory at every d…