<ul><li>State Space Models (SSMs) have been widely used in AI sequence modeling for their ability to model temporal dependencies.</li><li>This paper discusses how selective state space models can improve the efficiency of AI sequence modeling.</li><li>The authors propose a selective mechanism that allows for better compression and more efficient implementation of SSMs.</li><li>Empirical evaluations show that selective SSMs perform well in various tasks, including language modeling and DNA modeling.</li></ul>

How State Space Models Improve AI Sequence Modeling Efficiency

Discover more