Retrieval-Augmented Forecasting of Time-series

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Last Updated on March 4, 2026 by Editorial Team Author(s): DrSwarnenduAI Originally published on Towards AI. RAFT proves that time series forecasting doesn’t need bigger weights — it needs a better library card Here’s the thing about The Cheesecake Factory menu: it’s 21 pages long. New Frontier in Time seriesThe article discusses a novel approach to time series forecasting called RAFT (Retrieval-Augmented Forecasting of Time-series), which posits that instead of relying on models with larger par

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