Nathan hosts Albert Gu, assistant professor at CMU and co-founder of Cartesia AI, to discuss the groundbreaking Mamba architecture. In this episode of The Cognitive Revolution, we explore the state space model revolution, diving into the technical details of Mamba and Mamba 2. Join us for an insightful conversation on the future of AI architectures and their potential to transform the field.

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CHAPTERS:

(00:00:00) About the Show

(00:05:39) State Space Models

(00:13:05) Intuition and inspiration

(00:18:27) Surprises

(00:22:33) Sponsors: Oracle | Brave

(00:24:41) Biological inspiration

(00:25:19) MAMBA breakthrough

(00:30:59) How does the state work?

(00:36:44) What is the size of the state?

(00:39:05) Training vs. Inference (Part 1)

(00:42:04) Sponsors: Omneky | Squad

(00:43:51) Training vs. Inference (Part 2)

(00:43:51) Sequence Models

(00:49:20) Mamba inference

(00:57:53) Mamba2 vs Mamba1

(01:16:05) Overtraining and the future of SSMs

(01:17:44) Training efficiency vs inference efficiency

(01:20:52) Hybrid models

(01:25:04) Scaling Attention Layers

(01:30:23) Optimizing State

(01:34:09) The extrapolation abilities of the SSMs

(01:36:37) Sequence parallelism with Mamba 2

(01:39:20) Why are you publishing all this?

(01:40:46) Cartesia and Together

(01:41:54) Outro

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