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README.md
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@@ -90,7 +90,7 @@ The below model scripts can be used for any of the above TTM models. Please upda
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- **New Releases (extended features released on October 2024)**
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- Finetuning and Forecasting with Exogenous/Control Variables [[Example]](https://github.com/ibm-granite/granite-tsfm/blob/main/notebooks/tutorial/ttm_with_exog_tutorial.ipynb)
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- Finetuning and Forecasting with static categorical features [Example: To be added soon]
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- Rolling Forecasts - Extend forecast lengths
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- Helper scripts for optimal Learning Rate suggestions for Finetuning [[Example]](https://github.com/ibm-granite/granite-tsfm/blob/main/notebooks/tutorial/ttm_with_exog_tutorial.ipynb)
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## Benchmarks
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- **New Releases (extended features released on October 2024)**
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- Finetuning and Forecasting with Exogenous/Control Variables [[Example]](https://github.com/ibm-granite/granite-tsfm/blob/main/notebooks/tutorial/ttm_with_exog_tutorial.ipynb)
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- Finetuning and Forecasting with static categorical features [Example: To be added soon]
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- Rolling Forecasts - Extend forecast lengths via rolling capability. Rolling beyond 2*forecast_length is not recommended. [[Example]](https://github.com/ibm-granite/granite-tsfm/blob/main/notebooks/hfdemo/ttm_rolling_prediction_getting_started.ipynb)
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- Helper scripts for optimal Learning Rate suggestions for Finetuning [[Example]](https://github.com/ibm-granite/granite-tsfm/blob/main/notebooks/tutorial/ttm_with_exog_tutorial.ipynb)
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## Benchmarks
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