AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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OmniConfess is introduced, a training-free method for mitigating omni-modal hallucinations that fixes a candidate response and re-scores it at token resolution under controlled channel-wise evidence interventions, producing a structured token-by-channel confession that reveals the response's evidential dependence.
CogEvol, a family of models trained specifically for Learning Environment Generation: turning a course brief into a finished learning artifact (structured-JSON slides or self-contained interactive HTML pages) in a single pass, lowering the unit cost of AI-native education at scale.
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