AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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A common rank-displacement audit at three scopes is introduced at three scopes: facts supported by the edited parameter, other correct answers to the target query, and correct answers across queries with the same relation.
A 998-case diagnostic is introduced that independently varies visual evidence, commonsense priors, and external text, and probes when this failure arises by moving the information boundary around a context-blind visual witness.
MANTA, a framework for Multi-Agent Network Topology Adaptation that enables communication structures to self-evolve at inference time, is introduced and shows that inference-time self-improvement can extend to the architecture of collaboration itself.
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