Update articles/machine-learning/concept-model-catalog.md

Co-authored-by: Mope Akande <[email protected]>

Author: ositanachi

articles/machine-learning/concept-model-catalog.md

@@ -153,7 +153,9 @@ Phi-3-medium-4k-instruct, Phi-3-medium-128k-instruct  | [Microsoft Managed Count
 
 [!INCLUDE [machine-learning-preview-generic-disclaimer](includes/machine-learning-preview-generic-disclaimer.md)]
 
-Azure Machine Learning implements a default configuration of [Azure AI Content Safety](../ai-services/content-safety/overview.md) text moderation filters for harmful content (hate, self-harm, sexual, and violence) for language models deployed with MaaS. To learn more about content filtering (preview), see [harm categories in Azure AI Content Safety](../ai-services/content-safety/concepts/harm-categories.md). Content filtering (preview) occurs synchronously as the service processes prompts to generate content, and you may be billed separately as per [AACS pricing](https://azure.microsoft.com/pricing/details/cognitive-services/content-safety/) for such use. You can disable content filtering (preview) for individual serverless endpoints when you first deploy a language model or in the deployment details page by selecting the content filtering toggle. If you use a model in MaaS via an API that differs from [Azure AI Model Inference API](https://learn.microsoft.com/azure/ai-studio/reference/reference-model-inference-api), content filtering will not be enabled unless you implement it seperately using [Azure AI Content Safety](https://learn.microsoft.com/azure/ai-services/content-safety/quickstart-text). If you use a model in MaaS without content filtering, you may be at higher risk of exposing users to harmful content. 
+For language models deployed to MaaS, Azure Machine Learning implements a default configuration of [Azure AI Content Safety](../ai-services/content-safety/overview.md) text moderation filters that detect harmful content such as hate, self-harm, sexual, and violent content. To learn more about content filtering (preview), see [harm categories in Azure AI Content Safety](../ai-services/content-safety/concepts/harm-categories.md). 
+
+Content filtering (preview) occurs synchronously as the service processes prompts to generate content, and you might be billed separately as per [AACS pricing](https://azure.microsoft.com/pricing/details/cognitive-services/content-safety/) for such use. You can disable content filtering (preview) for individual serverless endpoints either at the time when you first deploy a language model or in the deployment details page by selecting the content filtering toggle. If you use a model in MaaS via an API other than the [Azure AI Model Inference API](../ai-studio/reference/reference-model-inference-api.md), content filtering isn't enabled unless you implement it separately by using [Azure AI Content Safety](../ai-services/content-safety/quickstart-text.md). If you use a model in MaaS without content filtering, you run a higher risk of exposing users to harmful content. 
 
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