How Far Can Lightweight LLMs Go in Intent-to-SLO Translation?

2026-11-06来源 arXiv cs.NIEnglish
arXiv:2611.07982v1 Announce Type: new Abstract: Intent-based networking (IBN) promises QoS provisioning in which the network derives the configuration from operator-stated goals. Its first step, translating a natural-language intent into enforceable service-level objectives (SLOs) grounded in a live snapshot of the network state, increasingly relies on large language models (LLMs). These large models add cost and energy to the management loop and typically require multi-GPU, cloud-hosted infrastructure. Can lightweight open LLMs take over this step dependably? We answer this question with a five-dimensional evaluation of ten LLMs with

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