AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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LLMs increasingly operate through coding-agent harnesses that inspect repositories, invoke tools, and modify files. Substituting the model behind such an agent can therefore change security-relevant decisions, including whether it verifies changes or recovers safely from failures. Existing LLM fingerprints largely infe...
NetConfArena is presented, an executable benchmark for evaluating LLM agents in closed-loop network configuration, and its findings suggest two future directions: using validated trajectories as supervision signals to improve foundation models, and designing harness mechanisms that make agent execution more reliable an...
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