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Large Language Models Are Zero-Shot Time Series Forecasters abs: https://t.co/aVDZ1sD4FT code: https://t.co/1AwskkzjrS Introduces LLMTime, a simple method to apply pretrained LLMs for continuous time series prediction problems. Main trick is to ensure each digit is tokenized (by adding spaces between digits for example). Their approach obtains SOTA on various benchmarks.
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