RAR uses shadow inference plus a stored library of large-model reasoning hints to continuously shift requests from an expensive LLM to a cheaper one.
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Real-time Adapting Routing (RAR): Improving Efficiency Through Continuous Learning in Software Powered by Layered Foundation Models
RAR uses shadow inference plus a stored library of large-model reasoning hints to continuously shift requests from an expensive LLM to a cheaper one.