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Support for zero-shot forecasting using LLM

Open kyleke1998 opened this issue 1 year ago • 3 comments

A recent paper titled "Large Language Models Are Zero-Shot Time Series Forecasters" https://arxiv.org/abs/2310.07820 showed that LLMs have on par if not better forecasting performance compared to SOTA models while performing zero-shot inference. The key is really some simple pre-processing and post processing. It would be cool if DARTs enabled a feature to allow plugging in a LLM for zero-shot forecasting.

kyleke1998 avatar Nov 26 '23 03:11 kyleke1998

Related to #1715.

WDYT @dennisbader ?

madtoinou avatar Nov 27 '23 09:11 madtoinou

Hi @kyleke1998. Indeed related to #1715. I still believe there are other areas which have higher priority to improve first. We are definitely not against it, but this is something where we'd need more capacity/help from the community.

dennisbader avatar Nov 27 '23 09:11 dennisbader

Happy to help to integrate this into darts.

kyleke1998 avatar Dec 03 '23 01:12 kyleke1998

To centralize conversation in a single issue, closing this one, duplicate of #2359.

As mentioned by Dennis, we would prefer to focus our capacity on other features but PRs from the Darts community are welcomed :) And before implementing it, agreeing on a nice architecture would be probably necessary.

madtoinou avatar Jul 05 '24 08:07 madtoinou