Google Unveils TimesFM-3, a Zero-Shot Multivariate Forecasting Model
Google Research introduced TimesFM-3, a 330M-parameter time series foundation model for multivariate forecasting. It predicts multiple coevolving series in one forward pass, supporting past and dynamic covariates. Pre-trained on over 1 trillion time points, it outperforms other models on major benchmarks without task-specific fine-tuning.
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