Chronos: Learning the Language of Time Series with Abdul Fatir Ansari

Play Video

Join our list for notifications and early access to events

About this Episode

Today we're joined by Abdul Fatir Ansari, a machine learning scientist at AWS AI Labs in Berlin, to discuss his paper, "Chronos: Learning the Language of Time Series." Fatir explains the challenges of leveraging pre-trained language models for time series forecasting. We explore the advantages of Chronos over statistical models, as well as its promising results in zero-shot forecasting benchmarks. Finally, we address critiques of Chronos, the ongoing research to improve synthetic data quality, and the potential for integrating Chronos into production systems.

Connect with Abdul Fatir
Read More

Related Episodes

Related Topics

More from TWIML

Leave a Reply

Your email address will not be published. Required fields are marked *