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SEDAC is a next-generation framework that dynamically allocates computation during LLM inference. By using entropy-based gating, it routes predictable tokens through shallow subnetworks and sends ambiguous or high-impact tokens to deeper, specialized paths. Test equipment configuration: RTX 4060 8G, RAM: 48GB
