Abstract: Always-on AI sensor applications–based on deep neural networks (DNNs)–with sparse inference require low power consumption during both computing and idle phases. In-memory computing (IMC) ...
RULER (Relative Universal LLM-Elicited Rewards) eliminates the need for hand-crafted reward functions by using an LLM-as-judge to automatically score agent trajectories. Simply define your task in the ...
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