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arXiv: Efficient Reasoning on the Edge — Chain-of-Thought at Inference Time for Local Agent Deployment
New research demonstrates chain-of-thought reasoning efficient enough for edge deployment, achieving state-of-the-art performance on complex reasoning tasks at significantly lower compute budgets. Key techniques include structured pruning of reasoning chains and confidence-based early stopping. The work directly addresses the bottleneck preventing reasoning-capable agents from running locally rather than requiring cloud inference.
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