Mamba
Summary
Mamba is a selective state space model architecture that uses input-dependent recurrent dynamics and hardware-aware parallel scans to make attention-free sequence modeling competitive with Transformers.
Role In The Wiki
Mamba is the baseline background model for selective SSMs and efficient recurrent sequence mixers. It is most relevant as an architecture and systems source rather than as direct evidence about numeric time-series forecasting.