Geometric Theory Unveils Agentic Behavior in LLMs

The ArXiv article proposes a geometric framework for understanding the behavior of agentic loops within Large Language Models, offering a novel perspective on emergent properties. The use of geometric principles suggests a potentially rigorous approach to analyzing and predicting these complex dynamics.

• •Applies geometric principles to model agentic behavior in LLMs.
• •Focuses on understanding the trajectories of agentic loops.
• •Potentially offers a new framework for analyzing LLM dynamics.