Explainable and Effective Forecasting with Conversational Time Series Foundation Models

This research explores the application of conversational models to time series forecasting, aiming for enhanced explainability and effectiveness. The approach has the potential to significantly improve the interpretability of time series predictions, which is crucial for building trust and facilitating informed decision-making.