NetBuddy paper
We published our preliminary work at the core of SEMLA on arXIV. Abstract. This paper explores opportunities to utilize Large Language Models (LLMs) to make network configuration human-friendly, simplifying the configuration of network devices and minimizing errors. We examine the effectiveness of these models in translating high-level policies and requirements (i.e., specified in natural … Continue reading “NetBuddy paper”