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replace MaaS with serverless apis
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articles/ai-studio/includes/content-safety-serverless-models.md

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# Also used in Azure Machine Learning documentation
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---
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For language models deployed to MaaS, we implement a default configuration of [Azure AI Content Safety](/azure/ai-services/content-safety/overview) 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](/azure/ai-services/content-safety/concepts/harm-categories).
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For language models deployed to serverless APIs, we implement a default configuration of [Azure AI Content Safety](/azure/ai-services/content-safety/overview) 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](/azure/ai-services/content-safety/concepts/harm-categories).
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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 later 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](/azure/ai-studio/reference/reference-model-inference-api), content filtering isn't enabled. You have to implement it separately by using Azure AI Content Safety. For more information on how to get started with content safety, see [QuickStart: Analyze text content](/azure/ai-services/content-safety/quickstart-text). 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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> [!TIP]
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> Certain kinds of models don't use content filtering (preview). These models include embed models, time series models, and rerank models.
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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 later in the deployment details page by selecting the content filtering toggle.
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Content filtering (preview) is disabled when you use an API other than the [Azure AI Model Inference API](/azure/ai-studio/reference/reference-model-inference-api) to work with a model that's deployed to a serverless API. In such a situation, you can implement content filtering (preview)separately by using Azure AI Content Safety. For more information on how to get started with content safety, see [QuickStart: Analyze text content](/azure/ai-services/content-safety/quickstart-text). If you don't use content filtering (preview) when working with models that are deployed to serverless APIs, you run a higher risk of exposing users to harmful content.

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