MoE-Mamba: Advancing State Space Models and MoEs for Superior Machine Learning

The Scalability Challenge of State Space Models (SSMs)

State Space Models (SSMs) and Transformers have emerged as pivotal components in sequential modeling. The challenge lies in optimizing the scalability of SSMs, which have shown promising potential but are yet to surpass the dominance of Transformers.