public preview settings

Author: vadthyavath

articles/machine-learning/how-to-auto-train-image-models.md

@@ -789,6 +789,10 @@ If you want to use tiling, and want to control tiling behavior, the following pa
 Please check this [Test the deployment](./tutorial-auto-train-image-models.md#test-the-deployment) section to test the deployment and visualize the detections from the model.
 
 ## Generate explanations for predictions
+
+> [!IMPORTANT]
+> These settings are currently in public preview. They are provided without a service-level agreement. Certain features might not be supported or might have constrained capabilities. For more information, see [Supplemental Terms of Use for Microsoft Azure Previews](https://azure.microsoft.com/support/legal/preview-supplemental-terms/).
+
 > [!WARNING]
 >  **Model Explainability** is supported only for **multi-class classification** and **multi-label classification**.
 

articles/machine-learning/reference-automl-images-schema.md

@@ -435,6 +435,10 @@ In instance segmentation, output consists of multiple boxes with their scaled to
 
 
 ## Data format for Online Scoring and Explainability (XAI)
+
+> [!IMPORTANT]
+> These settings are currently in public preview. They are provided without a service-level agreement. Certain features might not be supported or might have constrained capabilities. For more information, see [Supplemental Terms of Use for Microsoft Azure Previews](https://azure.microsoft.com/support/legal/preview-supplemental-terms/).
+
 > [!WARNING]
 >  **Explainability** is supported only for **multi-class classification** and **multi-label classification**. While generating explanations on online endpoint, if you encounter timeout issues, use [batch scoring notebook](https://github.com/Azure/azureml-examples/tree/rvadthyavath/xai_vision_notebooks/sdk/python/jobs/automl-standalone-jobs/automl-image-classification-multiclass-batch-scoring) to generate explanations.