Update concept-model-catalog.md

Updated content safety section to reflect current experience

Author: ositanachi

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

@@ -153,7 +153,7 @@ 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. You may be at higher risk of exposing users to harmful content if you turn off content filters. 
+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. 
 
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