Care to share the contexts in which someone needs a zero-shot model for time series? I have just never come across one in which you don't have some historical data to fit a model and go from there.
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In this case I don't think zero-shot means no context. I think it's more used in relation to fine-tuning the model parameters over your data.
> TTM-1 currently supports 2 modes:
> Zeroshot forecasting: Directly apply the pre-trained model on your target data to get an initial forecast (with no training).
> Finetuned forecasting: Finetune the pre-trained model with a subset of your target data to further improve the forecast