Mamba’s Performance in DNA, Audio, and Speed Benchmarks
hackernoon.comMamba proves its strength in long-range dependencies, outperforming HyenaDNA in DNA sequence modeling and surpassing state-of-the-art speech generation models. Selective SSMs also demonstrate superior efficiency in AI training benchmarks.
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3 Selective State Space Models and 3.1 Motivation: Selection as a Means of Compression
3.2 Improving SSMs with Selection
3.3 Efficient Implementation of Selective SSMs
3.4 A Simplifed SSM Architecture
3.5 Properties of Selection Mechanisms
4 Empirical Evaluation and 4.1 Synthetic Tasks
4.4 Audio Modeling and Generation
4.5 Speed and Memory Benchmarks
6 Conclusion, Acknowledgments and References
A Discussion: Selection Mechanism
B Related Work and B.1 S4 Variants and Derivatives
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