arXiv (OAI Expanded)
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LLMs as Master Forgers: Generating Synthetic Time Series Data for Manufacturing
This paper presents a novel framework leveraging Large Language Models (LLMs) to generate synthetic time series data for manufacturing processes. Motivated by the scarcity of labeled time-series data in real-world manufacturing settings, which hinders the development of robust machine learning model
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