Mamba-Palooza: 90 Days of Mamba-Inspired Research with Jason Meaux: Part 2
Nathan and Jason Meaux continue their deep dive into Mamba-inspired research, exploring its impact on computer vision, context length, and hybrid SSMs in biology. Part two of a comprehensive look at this groundbreaking AI technology.
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In this second 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 discusstMamba's application to computer vision, experiments in extending effective context length, the potential problem of internal rotting states, and the use of hybrid SSMs in biology. Try the Brave search API for free for up to 2000 queries per month at https://brave.com/api
LINKS:
Show Notes and Paper Links: https://docs.google.com/document/d/1NK_a3deVL_aczORmSRw8LyujNPotpO7Kd90sIRj9Qx0/edit?usp=sharing
Nathan's original Mamba Deep Dive: https://www.youtube.com/watch?v=X5F2X4tF9iM
Part 1 of Mamba-Palooza: https://youtu.be/Bg1LQ_jWliU
Statespace.info: https://www.statespace.info/
X/SOCIAL:
@labenz (Nathan)
SPONSORS:
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TIMESTAMPS:
(00:00) - Episode Start
(00:01:14) - Nathan and Jason’s Bet
(00:04:51) - U-Mamba
(00:15:10) - Sponsors: Oracle | Omneky
(00:06:08) - Swin U-Mamba
(00:18:59) - Vision Mamba
(00:24:30 - VMamba
(00:27:26) - VM-UNet
(00:30:37) - Sponsors: Brave | On Deck
(00:35:15) - SegMamba
(00:36:59) - Vivim