48 min listen
Demystifying Chronos: Learning the Language of Time Series
FromDeep Papers
ratings:
Length:
45 minutes
Released:
Apr 4, 2024
Format:
Podcast 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. To learn more about ML observability, join the Arize AI Slack community or get the latest on our LinkedIn and Twitter.
Released:
Apr 4, 2024
Format:
Podcast episode
Titles in the series (23)
ChatGPT and InstructGPT: Aligning Language Models to Human Intention by Deep Papers