Attention to Mamba: A Recipe for Cross-Architecture Distillation
37 points by zerop
State Space Models (SSMs), including Mamba, are gaining traction as alternatives to Transformer models because they consume less memory. This shift suggests a growing interest in more efficient architectures for machine learning tasks, potentially leading to improved performance in various applications.