Mamba
A state-space model architecture that achieves transformer-like performance on long sequences while maintaining linear, rather than quadratic, scaling.
Think of It Like This
Like a super-reader who can process an entire book linearly without ever needing to look back at previous pages to understand the plot.
Mamba utilizes a hardware-aware selection mechanism that allows it to filter out irrelevant information and selectively remember crucial context. Unlike traditional attention, it does not require a massive KV cache during inference. This makes it a highly promising architecture for efficiently processing extremely long contexts.