Out with Transformers? Mamba’s Selective SSMs Make Their Case
Mamba’s selective SSMs excel in sequence modeling, outperforming LTI SSMs in synthetic tasks and competing ...
Mamba’s selective SSMs excel in sequence modeling, outperforming LTI SSMs in synthetic tasks and competing ...
Scaling laws guide language model improvements, with Transformer++ and Mamba showing strong results. Training recipes ...
AI models like Transformer++, HyenaDNA, and Mamba are pushing boundaries in DNA and audio modeling. ...
Selection mechanisms refine AI’s approach to gating and hypernetworks, enabling structured state space models (SSMs) ...
Mamba enhances SSMs with a selection mechanism for context-aware reasoning, outperforming Transformers in long-context tasks ...
Mamba proves its strength in long-range dependencies, outperforming HyenaDNA in DNA sequence modeling and surpassing ...