AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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CoCal is introduced, which trains a lightweight companion from rollout hidden states and verifier-derived correctness supervision while leaving task optimization unchanged, and shows that CoCal improves confidence estimation without sacrificing task performance, outperforming both RL-based concurrent methods and matche...
EBM-RL (Eye--Brain--Mouth Reinforcement Learning), a decoupled GRPO-based framework that separates observation (), reasoning (), and utterance generation, mimics the human See-Think-Speak process, enabling the model to ground dialogue in visual perception before reasoning and response generation.
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