Ensemble forecasting with IBM Granite time-series models

IBM has released a set of Granite time-series models designed for ensemble forecasting on the Hugging Face platform. These models use a decoder-only architecture to combine multiple predictions, providing a more robust approach to anticipating data trends than relying on a single forecast. This release aims to improve predictive accuracy for organizations managing complex time-series data by allowing users to integrate various model configurations into their existing workflows.