#probabilistic forecasting

'TimesFM-2.5 is a 200M-parameter, decoder-only time-series foundation model with a 16K context and native probabilistic forecasting support, now ranking first on GIFT-Eval for zero-shot accuracy and CRPS. The model is available on Hugging Face and aimed at production-ready forecasting workflows.'

'A hands-on tutorial showing how to create synthetic multi-series data, run several GluonTS estimators conditionally, evaluate probabilistic forecasts, and build advanced visualizations for model comparison.'