Researchers from CMU and Princeton Unveil Mamba: A Breakthrough SSM Architecture Exceeding Transformer Efficiency for Multimodal Deep Learning Applications

In contemporary machine learning, foundation models, vast models pretrained on copious amounts of data and then modified for downstream tasks, have become a successful paradigm. Sequence models, which operate on arbitrary sequences of inputs from a broad range of domains, including language, pictures, voice, audio, time series, and genomes, are frequently the foundation of these […]

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