758: The Mamba Architecture: Superior to Transformers in LLMs — with Jon Krohn (@JonKrohnLearns)

Jon Krohn explores the groundbreaking Mamba architecture, the latest challenger to the Transformer model's dominance in the AI landscape, going through the key insights from the "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" paper, authored by leading researchers at Carnegie Mellon and Princeton. Learn why the tech community is buzzing about Mamba's ability to efficiently handle long input sequences - a task that has traditionally bogged down Transformer models with computational inefficiencies. Jon also explores how Mamba's selective information …

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