t0-alpha: hoe AI toekomstige trends voorspelt met patchgebaseerde transformers

A new decoder-style transformer model called t0-alpha applies language model techniques to time-series forecasting by dividing data into patches and predicting probability distributions rather than single values. The approach uses specialized attention mechanisms to process historical patterns and generate quantile-based forecasts for improved uncertainty estimation.