This Machine Learning Paper from Microsoft Proposes ChunkAttention: A Novel Self-Attention Module to Efficiently Manage KV Cache and Accelerate the Self-Attention Kernel for LLMs Inference

Developing large language models (LLMs) in artificial intelligence represents a significant leap forward. These models underpin many of today’s advanced natural language processing tasks and have become indispensable tools for understanding and generating human language. However, these models’ computational and memory demands, especially during inference with long sequences, pose substantial challenges. The core challenge in […]

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