This CRAZY Paper on Mamba has got some REAL Juice!!!

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🔗 Links 🔗

Paper - https://arxiv.org/pdf/2402.01032.pdf

Abstract:

Transformers are the dominant architecture for se- quence modeling, but there is growing interest in models that use a fixed-size latent state that does not depend on the sequence length, which we refer to as “generalized state space models” (GSSMs). In this paper we show that while GSSMs are promising in terms of inference-time efficiency, they are limited …

abstract architecture efficiency generalized inference modeling paper show space state terms transformers