Adapting Foundation Models for Operator Data Analytics
PROCEEDINGS OF THE 22ND ACM WORKSHOP ON HOT TOPICS IN NETWORKS, HOTNETS 2023(2023)
摘要
The complexity of operator networks and myriad of specialized metrics produced by network function providers present a formidable challenge in retrieving and analyzing operator data, a vital component for network operations. This necessitates specialist intervention, which is time-consuming and limits customization. This paper proposes Data Intelligence for Operators Copilot, a natural language interface for retrieval and analytics tasks on operator data, leveraging foundation models. It addresses the challenges posed by operator data through a novel application of semantic search to effectively provide necessary context regarding specialized metrics. The system has outperformed state-of-the-art natural language interfaces for databases, when applied to an operator-specific benchmark dataset of expert-generated representative queries, with 66% execution accuracy.
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关键词
Foundation models,5G,Operator networks,Data retrieval
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