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Mamba Linear-Time Sequence Modeling With Selective State Spaces by sgn98312226 is a document available to read on EtoBox.
The paper presents Mamba, a new linear-time sequence modeling architecture that integrates selective state space models (SSMs) to improve upon the limitations of traditional Transformers, particularly in handling long sequences and discrete data modalities. Mamba achieves state-of-the-art performance across various domains, including language, audio, and genomics, while offering significantly faster inference and linear scaling with sequence length. The architecture
- Author
- sgn98312226
- Language
- EN