AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Large language models (LLMs) are increasingly used as interactive agents and simulators, yet it remains unclear whether they can recover latent sequential structure beyond surface action frequencies. This distinction is critical for behavioral simulation, where actions are often shaped by prior context rather than marg...
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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