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MAMBA and State Space Models explained | SSM explained

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We simply explain and illustrate Mamba, State Space Models (SSMs) and Selective SSMs. SSMs match performance of transformers, but are faster and more memory-efficient than them. This is crucial for long sequences! AI Coffee Break Merch! πŸ›οΈ https://aicoffeebreak.creator-spring.com/ Celebrating our merch launch, here is a limited time offer! πŸ‘‰ Get 25% discount on AI Coffee Break Merch with the code MAMBABEAN. This video also comes in blog post format: πŸ‘‰ https://open.substack.com/pub/aicoffeebreakwl/p/mamba-and-ssms-explained?r=r8s20&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true Thanks to our Patrons who support us in Tier 2, 3, 4: πŸ™ Dres. Trost GbR, Siltax, Vignesh Valliappan, Michael Outline: 00:00 Mamba to replace Transformers!? 02:04 State Space Models (SSMs) – high level 03:09 State Space Models (SSMs) – more detail 05:45 Discretization step in SSMs 08:14 SSMs are fast! Here is why. 09:55 SSM training: Convolution trick 12:01 Selective SSMs 15:44 MAMBA Architecture 17:57 Mamba results 20:15 Building on Mamba 21:00 Do RNNs have a comeback? 21:42 AICoffeeBreak Merch πŸ“„ Gu, Albert, and Tri Dao. "Mamba: Linear-time sequence modeling with selective state spaces." arXiv preprint arXiv:2312.00752 (2023). https://arxiv.org/abs/2312.00752 πŸ“„ MoE-Mamba https://arxiv.org/abs/2401.04081 πŸ“„ Vision Mamba https://arxiv.org/abs/2401.09417 πŸ“„ MambaByte https://arxiv.org/abs/2401.13660 πŸ•ŠοΈ Mamba rejected from ICLR: https://twitter.com/srush_nlp/status/1750526956452577486 πŸ“– Prefix sum (Scan) with Cuda: https://developer.nvidia.com/gpugems/gpugems3/part-vi-gpu-computing/chapter-39-parallel-prefix-sum-scan-cuda πŸ“Ί Transformer explained: https://www.youtube.com/playlist?list=PLpZBeKTZRGPNdymdEsSSSod5YQ3Vu0sKY Great resources to learn about Mamba: πŸ“™ Mamba: https://jameschen.io/jekyll/update/2024/02/12/mamba.html πŸ“• The Annotated S4: https://srush.github.io/annotated-s4/ πŸ“˜ Mamba The Easy Way: https://jackcook.com/2024/02/23/mamba.html β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€ πŸ”₯ Optionally, pay us a coffee to help with our Coffee Bean production! β˜• Patreon: https://www.patreon.com/AICoffeeBreak Ko-fi: https://ko-fi.com/aicoffeebreak Join this channel to get access to perks: https://www.youtube.com/channel/UCobqgqE4i5Kf7wrxRxhToQA/join β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€ πŸ”— Links: AICoffeeBreakQuiz: https://www.youtube.com/c/AICoffeeBreak/community Twitter: https://twitter.com/AICoffeeBreak Reddit: https://www.reddit.com/r/AICoffeeBreak/ YouTube: https://www.youtube.com/AICoffeeBreak #AICoffeeBreak #MsCoffeeBean #MachineLearning #AI #research​ Scientific advising by Mara Popescu Video editing: Nils Trost Music 🎡 : Sunny Days – Anno Domini Beats

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