A naukri.com initiative
Arxiv
1d
46
Image Credit: Arxiv
TransMamba: Flexibly Switching between Transformer and Mamba
- TransMamba is a framework that combines Transformer and Mamba models for efficient long-sequence processing.
- TransMamba uses shared parameter matrices to switch between attention and state space model (SSM) mechanisms.
- The framework includes a Memory converter to bridge Transformer and Mamba models for seamless information flow.
- Experimental results demonstrate that TransMamba achieves superior training efficiency and performance compared to baselines.
Read Full Article
2 Likes
For uninterrupted reading, download the app