Thoughts on Potential of LLMs/Foundation Models for Zero-Shot Time Series Forecasting [D]

Hi all, I've stumbled upon this Neurips paper "Large Language Models Are Zero-Shot Time Series Forecasters" [2310.07820.pdf (arxiv.org)](https://arxiv.org/pdf/2310.07820.pdf?trk=public_post_comment-text) and wonder what people in time series think about it. The paper's authors summarize the method: "At its core, this method represents the time series as a string of numerical digits, and views time series forecasting as next-token prediction in text".

The authors seem to show performance nearly matching and sometimes exceeding the standard baseline such as ARIMA on DARTS baseline, with …

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