The Sentosa LLM framework combines LLM reasoning with small-model computation for industrial maintenance, reporting improved temperature prediction, energy savings, and faster fault repair in two deployment cases.
Faultexplainer: Leveraging large language models for interpretable fault detection and diagnosis,
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Towards Next-Generation Intelligent Maintenance: Collaborative Fusion of Large and Small Models
The Sentosa LLM framework combines LLM reasoning with small-model computation for industrial maintenance, reporting improved temperature prediction, energy savings, and faster fault repair in two deployment cases.