AI time series forecasting

TimesFM is a basic decoder model pre-trained on a large time series data set with 20 billion parameters. Although smaller in scale than large language models, its zero-shot performance is close to state-of-the-art supervised methods on multiple unseen datasets in different domains and time granularities. TimesFM provides excellent unseen time series predictions without additional training.