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Shifting from monolithic expert selection to fine-grained path composition, PCoMoE boosts inference speed by 1.31x while enhancing accuracy by 10%.
Agentic AI's fragility stems from relying on LLMs for system control, but Arbiter-K flips the script by using a deterministic kernel to govern the LLM, achieving up to 95% unsafe action interception.
