Explore the cutting-edge research on improving AI reasoning capabilities through advanced topological structures in this 27-minute video from Discover AI. Learn how researchers at Carnegie Mellon University are moving beyond traditional linear Chain-of-Thoughts (CoT) reasoning used in current AI models like o1, o3, and Sonnet 3.7. Discover the potential of Graph-of-Thought reasoning complexities as presented in "SOLAR: Scalable Optimization of Large-scale Architecture for Reasoning" by Chen Li, Yinyi Luo, Anudeep Bolimera, and Marios Savvides. This presentation challenges conventional approaches to AI inference and demonstrates how topological innovations can enhance reasoning performance beyond the current 2-21 minute reasoning timeframes.
Overview
Syllabus
NEW: Topological AI for Reasoning (SOLAR by CMU)
Taught by
Discover AI
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