State Space Model
A mathematical framework for modeling sequence data that defines how a hidden internal state evolves continuously over time based on incoming inputs.
Think of It Like This
Like a complex weather simulation predicting tomorrow's storm by mathematically updating today's exact pressure and temperature readings.
SSMs, particularly modern variants like Mamba, have emerged as powerful alternatives to Transformers. They process sequences efficiently with a linear time complexity and a constant memory footprint, entirely avoiding the quadratic scaling of the attention mechanism. They excel at processing extremely long audio or text sequences.