Unverified50% confidenceFactExact time
Time-Series Foundation Models are general-purpose forecasting models pretrained on large-scale, multi-domain time-series data with cross-task generalization capabilities, with representative works including TimesFM, Chronos, and Moirai.
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50%
Confidence
Long-term
Relevance
10/5/2026
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UnverifiedA Foundation Model refers to a large-scale pre-trained model that can serve as a general-purpose base to be fine-tuned for downstream tasks or directly invoked.72% similarUnverifiedTimesFM draws on the pre-training + zero-shot inference paradigm of large language models, enabling direct forecasting of unseen time series after pre-training without targeted training.71% similarUnverifiedTimesFM 3.0 is a foundation model dedicated to time series forecasting, with zero-shot forecasting capability.70% similarUnverifiedTimesFM、PatchTST 等时序预测模型拥有数十亿参数，对算力要求极高68% similarUnverifiedBase models refer to general-purpose large language models such as GPT, Doubao, and DeepSeek, while post-trained models refer to models fine-tuned for specific industries based on base models.67% similar
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