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Re:The illusion of state in state-space models by yobbo on Friday June 07, 2024 @02:27PM (#40611466)
The difference to RNNs is that the state in SSMs is a linear combination of previous inputs, which makes it possible to parallelise training in various ways.

Gates and non-linearities in RNNs allow the state to be "any" function of previous inputs.

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