PAT: Optimizing LLM Decoding with Prefix-Aware Attention and Multi-Tile Kernel

This research explores a novel approach to accelerate the decoding process in Large Language Models (LLMs) using Prefix-Aware Attention and a resource-efficient multi-tile kernel. The paper likely details improvements in inference speed and resource utilization, offering valuable insights for LLM deployment.