AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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SAGE (State-Grounded Abstention-Aware Evaluation), which compiles a workflow specification and per-turn state diff into atomic, schema-grounded criteria and routes each through a cascade of symbolic and encoder/NLI verifiers that abstain rather than guess, aggregating criterion verdicts into a turn-level decision with...
The results establish a passive, data-free provenance signal for compatible open-weight language-model checkpoints, and the projection-pairing signal appears across six language-model families and beyond.
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