AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work instantiate this problem in image generation and derive a reinforcement learning framework using multi-turn simulated users to maximize utility recovery under uncertainty and points toward a simple and scalable framework for training language model assistants to better disambiguate user intent by asking more...
This paper argues that AI agents must be evaluated like other behavioral systems: through systematic observation, perturbation, and interpretation of their actions, and proposes a research agenda focused on developing rigorous behavioral tests.
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