MoBA (Mixture of Block Attention) is an innovative solution of attention mechanism developed by MoonshotAI specifically for the long context processing needs of large language models. The technology realizes efficient processing of long sequence data by splitting the complete context into multiple blocks so that each query token can intelligently focus on the most relevant Key-Value block. Compared with the traditional full-attention mechanism, MoBA adopts the parameter-free top-k gating technique as its core innovation, which can accurately filter the most informative content blocks without adding training parameters.
This technology has been successfully applied to the actual business scenarios of Kimi intelligent assistant, which significantly improves the efficiency of the model in processing long text tasks.The value of MoBA is reflected in two aspects: on the one hand, it optimizes the consumption of computational resources under the premise of maintaining the model performance without loss; on the other hand, it realizes the flexible switching between the full-attention and sparse-attention modes, which provides an adaptive solution for the needs of different scenarios.
This answer comes from the articleMoBA: A Large Language Model for Long Context Processing by KimiThe
