Can LLM embeddings improve time series prediction? A practical feature engineering approach



There’s been a trend of sorts to use large-scale language models (LLMs), and by extension their outputs, for all kinds of machine learning-driven tasks, including predictive tasks that were already being solved long before language models came into existence.



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