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@@ -11,6 +11,7 @@ MMF integrates a variety of well-established and cutting-edge algorithms, includ
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Get started now!
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## What's New
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- Aug 2025: MMF runs on Serverless. Try the [notebooks](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/serverless).
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- Jul 2025: Added the MMF architecture [README](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/mmf_sa/README.md).
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- Jul 2025: Decommissioned R models.
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- Feb 2025: [AutoTBATS](https://nixtlaverse.nixtla.io/statsforecast/src/core/models.html#autotbats) and [AutoMFLES](https://nixtlaverse.nixtla.io/statsforecast/src/core/models.html#automfles) from statsforecast are available. Try the [notebook](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/daily/local_univariate_daily.ipynb).
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