AI State Space Models
Albert, Erik, and Nathan discuss the evolution of state space models in AI, highlighting the efficiency gains in materializing states during training and inference. The conversation delves into the clever algorithmic techniques used in modern models like Mamba to optimize memory usage and scalability.In this clip
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The State Space Model Revolution, with Albert Gu
Related Questions
How do state space models work in the context of the episode Mamba, Mamba-2, and Post-Transformer Architectures for Generative AI with Albert Gu - 693 and the clip Trends in Stateful Models?
How do state space models work in the context of the episode Mamba, Mamba-2 and Post-Transformer Architectures for Generative AI with Albert Gu - 693 and the clip Trends in Stateful Models?
How do state space models work in the context of the episode Mamba, Mamba-2 and Post-Transformer Architectures for Generative AI with Albert Gu - 693 and the clip State Space Models?