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# A tutorial on how to build a Foundation Model for Univariate Time Series Forecasting
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A concise, reproducible recipe for training a transformer-based, patch-to-patch forecasting model for univariate time series. The approach mirrors Large Language Model (LLM) practices (next-token → next-patch) while remaining lightweight compared to a classic LLM and practical.
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datasets:
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- thuml/UTSD
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pipeline_tag: time-series-forecasting
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# A tutorial on how to build a Foundation Model for Univariate Time Series Forecasting
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A concise, reproducible recipe for training a transformer-based, patch-to-patch forecasting model for univariate time series. The approach mirrors Large Language Model (LLM) practices (next-token → next-patch) while remaining lightweight compared to a classic LLM and practical.
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