Question, apologize if slightly off-topic, it's something I'd like to use this project for: Is there an example of how to train GPT-2 on time series, in particular with covariates?
As my understanding of LLM goes at a basic level it's predicting the next token from previous tokens, which sounds directionally similar to time series (perhaps letting aside periodicity).
As my understanding of LLM goes at a basic level it's predicting the next token from previous tokens, which sounds directionally similar to time series (perhaps letting aside periodicity).