Kimi Linear: An Expressive, Efficient Attention Architecture

Kimi Linear is making waves in the field of attention architectures by introducing a hybrid linear attention model that surpasses traditional full attention methods in various scenarios. This breakthrough is significant because it not only enhances performance in short and long contexts but also scales effectively in reinforcement learning applications. The innovative Kimi Delta Attention module, which builds on Gated DeltaNet, offers a more refined gating mechanism, allowing for better utilization of resources. This advancement could lead to more efficient AI models and applications across different domains.