Google Research Introduces TimesFM: A Single Forecasting Model Pre-Trained on a Large Time-Series Corpus of 100B Real World Time-Points

Time Series forecasting is an important task in machine learning and is frequently used in various domains such as finance, manufacturing, healthcare, and natural sciences. Researchers from Google introduced a decoder-only model for the task, called TimeFM, based on pretraining a patched-decoder style attention model on a large time-series corpus comprising both real-world and synthetic […]

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