AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Reliable evaluation of large language models (LLMs) is essential for their development and deployment, yet is often costly, risky, and difficult to perform safely online. We study off-policy evaluation for LLMs, where limited human-labeled data from a behavior model are used to evaluate a newer target LLM. This setting...
This work introduces online contextual matrix games and proposes OnGameLearn, an online learning algorithm that efficiently balances exploration and exploitation across both player actions and contexts and effectively navigates the intertwined challenges of strategic and contextual decision-making.
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