AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Evaluation on four scenarios from the literature shows a consistent 10 × reduction in the code a modeler must write, relative to the executable PythonPDEVS code that CellScript generates automatically, with code generation time remaining constant regardless of grid size.
A neuro-symbolic framework combining LLM-driven elicitation constrained by a rule-based reasoner fed by an ontology-compliant knowledge graph is proposed and results indicate that the framework reliably prevents hallucinations from propagating into formal specifications.
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