Update CHANGELOG.md

Co-authored-by: Dennis Bader <[email protected]>

CHANGELOG.md

@@ -11,7 +11,7 @@ but cannot always guarantee backwards compatibility. Changes that may **break co
 
 **Improved**
 
-- Implemented the `from_dataframe()` and `from_series()` methods with [Narwhals](https://github.com/narwhals-dev/narwhals), a compatibility layer between dataframe librairies. From now on, Darts can transform pandas, polars, arrows and many other dataframes into `TimeSeries`. [#2661](https://github.com/unit8co/darts/pull/2661) by [Jules Authier](https://github.com/authierj)
+- `TimeSeries.from_dataframe()` and `from_series()` now support creating `TimeSeries` from additional backends (Polars, PyArrow, ...). We leverage `narwhals` as the compatibility layer between dataframe libraries. See the `narwhals` [documentation](https://narwhals-dev.github.io/narwhals/) for all supported backends. [#2661](https://github.com/unit8co/darts/pull/2661) by [Jules Authier](https://github.com/authierj)
 - Added ONNX support for torch-based models with method `TorchForecastingModel.to_onnx()`. Check out [this example](https://unit8co.github.io/darts/userguide/gpu_and_tpu_usage.html#exporting-model-to-onnx-format-for-inference) from the user guide on how to export and load a model for inference. [#2620](https://github.com/unit8co/darts/pull/2620) by [Antoine Madrona](https://github.com/madtoinou)
 - Made method `ForecastingModel.untrained_model()` public. Use this method to get a new (untrained) model instance created with the same parameters. [#2684](https://github.com/unit8co/darts/pull/2684) by [Timon Erhart](https://github.com/turbotimon)
 - Made it possbile to run the quickstart notebook `00-quickstart.ipynb` locally. [#2691](https://github.com/unit8co/darts/pull/2691) by [Jules Authier](https://github.com/authierj)