Demystifying Chronos: Learning the Language of Time Series - podcast episode cover

Demystifying Chronos: Learning the Language of Time Series

Apr 04, 202445 min
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Episode description

This week, we’ve covering Amazon’s time series model: Chronos. Developing accurate machine-learning-based forecasting models has traditionally required substantial dataset-specific tuning and model customization. Chronos however, is built on a language model architecture and trained with billions of tokenized time series observations, enabling it to provide accurate zero-shot forecasts matching or exceeding purpose-built models.

We dive into time series forecasting, some recent research our team has done, and take a community pulse on what people think of Chronos.  

Learn more about AI observability and evaluation, join the Arize AI Slack community or get the latest on LinkedIn and X.

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