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I will work on this last.
New architectures are
necessary for the next
generation of AI.
Our founding team met as PhDs at Stanford AI Lab, where we invented State Space Models or SSMs, a fundamental new primitive for training large-scale foundation models that are higher quality and more efficient.
Over the past four years, we’ve built the theory behind SSMs and scaled it up to achieve state-of-the-art results in modalities as diverse as text, audio, video, images, and time-series data.
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