A non-fine-tuned LLM system that combines Granger causality rankings, retrieved past cases, and prompt engineering produces root-cause explanations for network faults, but the evidence is limited to eight synthetic cases.
Recommending root-cause and mitigation steps for cloud incidents using large language models,
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RCA Copilot: Transforming Network Data into Actionable Insights via Large Language Models
A non-fine-tuned LLM system that combines Granger causality rankings, retrieved past cases, and prompt engineering produces root-cause explanations for network faults, but the evidence is limited to eight synthetic cases.