AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Recent efforts to scale tool-use post-training have largely centered on the synthesis of executable environments, which constitute only one component of a broader agentic interaction system comprising the environment, task, agent harness, and evaluator. Scaling environments in isolation, however, does not guarantee com...
Human-written agent skills encode rich workflows for real-world problem solving, but are typically used as external inference-time instructions rather than internalized as reusable model capabilities. We introduce \texttt{SkillGym}, a framework that transforms these skills into executable, verifiable training environme...
This work proposes \textsc{AutoMem}, a text-gradient recursive self-improvement framework for task-adaptive memory architecture search that consistently discovers task-adaptive memory architectures that outperform the strongest human-designed memory baselines.
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