State Space Models: Mamba and the Post-Transformer Architecture
Mamba-3 achieves 4% better performance than Transformers with 7x faster inference. Learn SSM foundations, selective mechanisms, and hybrid architectures for efficient inference.
Mamba
S-Mamba: Scalable Selective State Space Models for Modern AI
S-Mamba extends the Mamba architecture with scalable selective state space models. Learn how this innovation enables efficient processing across language, vision, and time series applications.
State Space Models (SSM) and Mamba: The Post-Transformer Architecture
Explore state space models and Mamba architecture—a linear-time sequence modeling approach that challenges Transformers with efficient long-range dependency handling.