Mamba (deep learning architecture) | Wikipedia Easy Search

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Mamba is a deep learning architecture focused on sequence modeling. It was developed by researchers from Carnegie Mellon University and Princeton University to address some limitations of transformer models, especially in processing long sequences. It is based on the Structured State Space sequence (S4) model.^[1]^[2]^[3]

^ Gu, Albert; Dao, Tri (2023). "Mamba: Linear-Time Sequence Modeling with Selective State Spaces". arXiv:2312.00752 [cs.LG].
^ Chowdhury, Hasan. "The tech powering ChatGPT won't make AI as smart as humans. Others might". Business Insider. Retrieved 13 January 2024.
^ Pandey, Mohit (6 December 2023). "Mamba is Here to Mark the End of Transformers". Analytics India Magazine. Retrieved 13 January 2024.