GluonTS provides tools for building and training deep learning models specialized for time series prediction tasks. It focuses on probabilistic forecasting, generating prediction intervals alongside point estimates to quantify uncertainty. The library supports various neural network architectures and includes pretrained models like Chronos for zero-shot forecasting.