TimesFM-3: A zero-shot foundation model for multivariate forecasting

Google Research releases TimesFM-3, a foundation model for multivariate time series forecasting. The 330 million parameter model handles multiple targets and covariates in a single pass. Weights are available on Hugging Face and GitHub. Benchmarks show improved accuracy over predecessors without fine-tuning.

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