AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Results show that executable reliability depends on the complete agent system rather than on the reasoning model alone, and that simulation-aware harnessing provides a path toward physics-informed verification and future full application-level and engineering verification and validation implementation.
This work extends MOOSEnger with a harness focused on locally-hosted models that retrieves contextual knowledge from the MOOSE repository, validates and diagnoses the resulting input through interaction with the simulation executable environment, and extracts and stores lessons in a persistent memory.
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