Mamba: A Generalized Sequence Model Backbone for AI
hackernoon.comMamba enhances SSMs with a selection mechanism for context-aware reasoning, outperforming Transformers in long-context tasks like DNA and audio modeling. Future directions include scaling to LLaMa-sized AI models.

Table of Links
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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