This article provides a detailed mathematical derivation and explanation of Kimi Delta Attention (KDA), a linear attention mechanism used in modern transformer models. It breaks down the state update equations using bra-ket notation to clarify how keys, values, and error terms interact in the attention computation.
Background
Linear attention variants aim to reduce the quadratic complexity of standard self-attention while preserving performance, making them suitable for long-sequence modeling. KDA represents an evolution in this family, incorporating dynamic state updates and residual corrections.
- Source
- Lobsters
- Published
- Jul 29, 2026 at 01:01 AM
- Score
- 7.0 / 10