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Can LLM Embeddings Improve Time Series Forecasting? A
Practical Feature Engineering Approach
Rick W

Can LLM Embeddings Improve Time Series Forecasting? A Practical Feature Engineering Approach

Using large language models (LLMs) — or their outputs, for that matter — for all kinds of machine learning-driven tasks, including predictive ones that were already being solved long before language models emerged, has become something of a trend.
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