AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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CALICO is presented, a human-centered, codebook-aligned annotation workflow that treats prompts as editable, versioned, and optimizable artifacts and integrates codebook parsing, prompt generation, result inspection, prompt versioning, natural language human feedback, and label-supervised prompt optimization through ex...
This work proves a PAC-Bayes bound guaranteeing that a dictionary extracted from successful trajectories has bounded expected description length on future successful behavior, and introduces ReuseRL, which grounds agentic RL in the Minimum Description Length (MDL) principle.
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