Multimodal AI Assistant Boosts Network Config: 96.6% Accuracy, 26× Labor Cut

The paper presents NLI2Conf, an intent‑driven network configuration model that fuses configuration files, topology and performance data via a multimodal interface, using large language and graph neural models to align natural‑language intents with forwarding and performance constraints, achieving 96.6% accuracy and a 26‑fold reduction in manual effort.

Graph Neural NetworkLarge Language ModelNLI2Conf

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Multimodal AI Assistant Boosts Network Config: 96.6% Accuracy, 26× Labor Cut