

Timesfm
Overview :
TimesFM is a decoder-based foundational model pre-trained on large-scale time series datasets, boasting 20 billion parameters. Although smaller in scale compared to large language models, it demonstrates near-state-of-the-art zero-shot performance on multiple unseen datasets across various domains and time scales. TimesFM provides outstanding unseen time series predictions without the need for additional training.
Target Users :
["Demand forecasting in retail","Time series analysis in finance","Data prediction in healthcare"]
Features
Pre-trained on large-scale time series datasets
Decoder-only architecture
Supports zero-shot predictions across various domains and time scales
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