Mamba-2 (state space with selective scan)
Mamba-2 (state space with selective scan) is a computational framework or methodology designed to optimize state space analysis by incorporating selective scanning techniques. It aims to improve efficiency in exploring large or complex state spaces by focusing on relevant subsets.