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"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

Mamba-Palooza: 90 Days of Mamba-Inspired Research with Jason Meaux: Part 2

Mar 30, 2024
01:20:47
Snipd AI
AI scout Jason Meaux and Nathan discuss Mamba-inspired research in computer vision, extending context length, internal rotting states, and hybrid SSMs in biology. They highlight Vision Mamba model, innovative AI approaches in medical imaging, and graph sequence modeling with Mamba for predicting amino acids. The podcast explores the potential of DNA in drug discovery, Gemini 1.5 Pro model, and magic.dev's architecture for AI advancements.
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Podcast summary created with Snipd AI

Quick takeaways

  • Utilizing multi-scan approaches in vision tasks enhances efficiency and accuracy by processing sequences in parallel or sequence.
  • Training AI models on longer sequences improves performance, requiring interventions like modifying hyperparameters to address memory constraints.

Deep dives

Vision Section: The power of multi-scan approaches and sequence representations

The podcast delves into the world of vision, showcasing the importance of using multi-scan approaches to represent different data structures as sequences. By breaking down how these scans are processed in parallel or in sequence, the potential to handle various tasks efficiently and accurately is highlighted. The conversation emphasizes that everything needs to be viewed as a sequence, opening up possibilities for diverse applications like image segmentation and video analysis, all supported by the flexibility of representation structures.

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