# Zero-shot time series forecasting

Sundial is a series of generative time series foundation models capable of zero-shot inference for both deterministic and probabilistic forecasting.

Chronos-Bolt is a series of pre-trained time series forecasting models that support zero-shot prediction, based on the T5 encoder-decoder architecture, trained on nearly 100 billion time series observations.

Chronos-Bolt is a series of pretrained time series forecasting models supporting zero-shot prediction, based on T5 encoder-decoder architecture, trained on nearly 100 billion time series observations.

Chronos-Bolt is a series of pretrained time series forecasting models supporting zero-shot prediction, based on T5 encoder-decoder architecture, trained on nearly 100 billion time series observations.

Timer is an 84-million-parameter lightweight generative Transformer model specifically designed for time series forecasting tasks, supporting zero-shot point prediction.

Chronos-Bolt is a series of pretrained time series foundation models based on the T5 architecture, achieving efficient time series forecasting through innovative chunk encoding and direct multi-step prediction

Chronos-Bolt is a series of pretrained time series forecasting models capable of zero-shot prediction, based on the T5 encoder-decoder architecture, trained on nearly 100 billion time series observations.

Chronos-Bolt is a series of pretrained time series forecasting models supporting zero-shot prediction, based on the T5 encoder-decoder architecture, trained on nearly 100 billion time series observations.

Chronos-Bolt is a series of pretrained time series forecasting models that support zero-shot prediction with high accuracy and fast inference speed.