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Human-AI Collaboration for Multi-Line Task Adjustment Using Local Large Language Models and a Digital Twin

US & West · yesterday

Automation systems must adapt to changing tasks, equipment states, and staffing conditions while providing evidence for human review. This study presents a multi-line task-adjustment system integrating a local large language model, a digital twin, and human decision-making.

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Original headline: Human-AI Collaboration for Multi-Line Task Adjustment Using Local Large Language Models and a Digital Twin

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Human-AI Collaboration for Multi-Line Task Adjustment Using Local Large Language Models and a Digital Twin

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When quantum meets AI: NUS brings together international experts to turn frontier technologies into real-world solutions

Цифровые двойники, единая интеграционная платформа и роботы. Правительство утвердило программу развития угольной промышленности России

AI-Moderated Interviews for Digital Twin Calibration