Exploring Mamba Architecture and Statespace Revolution

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A detailed conversation between two individuals deeply engaged in Mamba-related AI research, discussing the significance of Mamba architecture in the statespace revolution and the need for collaboration in navigating the vast literature available. The chapter covers topics like transitioning from engineering to machine learning, comparing Mamba with transformers, dynamic computation benefits, scaling properties, and the diverse research areas Mamba is being applied in.

In this first part of a two episode series, Nathan and AI scout Jason Meaux provide a sweeping overview of the first 90 days of Mamba-inspired research. They discuss the mechanistic underpinnings of Mamba architecture, Mamba's context capabilities, multi-modal applications in image segmentation and computer vision tasks, and much more. Try the Brave search API for free for up to 2000 queries per month at https://brave.com/api

RECOMMENDED PODCAST: Autopilot explores the adoption and rollout of AI in the industries that drive the economy and the dynamic founders bringing rapid change to slow-moving industries. From law, to hardware, to aviation, Will Summerlin interviews founders backed by Benchmark, Greylock, and more to learn how they're automating at the frontiers in entrenched industries.

Listen on Spotify: https://open.spotify.com/show/6YQZkKHN7EP2yWedAvSxBC?si=18377c69a2804333

Listen on Apple: https://podcasts.apple.com/ca/podcast/autopilot-with-will-summerlin/id1738163836

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Show Notes and Paper Links: https://docs.google.com/document/d/1NK_a3deVL_aczORmSRw8LyujNPotpO7Kd90sIRj9Qx0/edit?usp=sharing

Nathan's original Mamba Deep Dive

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