update for foundry

Author: PatrickFarley

articles/ai-services/openai/how-to/content-filters.md

@@ -1,22 +1,26 @@
 ---
-title: 'Use content filters (preview) with Azure OpenAI Service'
+title: 'Use content filters (preview) with Azure AI Foundry'
 titleSuffix: Azure OpenAI
-description: Learn how to use and configure the content filters that come with Azure OpenAI Service, including getting approval for gated modifications.
+description: Learn how to use and configure the content filters that come with Azure AI Foundry, including getting approval for gated modifications.
 #services: cognitive-services
 manager: nitinme
 ms.service: azure-ai-openai
 ms.topic: how-to
-ms.date: 10/04/2024
+ms.date: 12/05/2024
 author: mrbullwinkle
 ms.author: mbullwin
 recommendations: false
 ms.custom: FY25Q1-Linter
-# customer intent: As a developer, I want to learn how to configure content filters with Azure OpenAI Service so that I can ensure that my applications comply with our Code of Conduct.
+# customer intent: As a developer, I want to learn how to configure content filters with Azure AI Foundry so that I can ensure that my applications comply with our Code of Conduct.
 ---
 
-# How to configure content filters with Azure OpenAI Service
+# How to configure content filters with Azure AI Foundry
 
-The content filtering system integrated into Azure OpenAI Service runs alongside the core models, including DALL-E image generation models. It uses an ensemble of multi-class classification models to detect four categories of harmful content (violence, hate, sexual, and self-harm) at four severity levels respectively (safe, low, medium, and high), and optional binary classifiers for detecting jailbreak risk, existing text, and code in public repositories. The default content filtering configuration is set to filter at the medium severity threshold for all four content harms categories for both prompts and completions. That means that content that is detected at severity level medium or high is filtered, while content detected at severity level low or safe is not filtered by the content filters. Learn more about content categories, severity levels, and the behavior of the content filtering system [here](../concepts/content-filter.md). Jailbreak risk detection and protected text and code models are optional and off by default. For jailbreak and protected material text and code models, the configurability feature allows all customers to turn the models on and off. The models are by default off and can be turned on per your scenario. Some models are required to be on for certain scenarios to retain coverage under the [Customer Copyright Commitment](/legal/cognitive-services/openai/customer-copyright-commitment?context=%2Fazure%2Fai-services%2Fopenai%2Fcontext%2Fcontext).
+The content filtering system integrated into Azure AI Foundry runs alongside the core models, including DALL-E image generation models. It uses an ensemble of multi-class classification models to detect four categories of harmful content (violence, hate, sexual, and self-harm) at four severity levels respectively (safe, low, medium, and high), and optional binary classifiers for detecting jailbreak risk, existing text, and code in public repositories. 
+
+The default content filtering configuration is set to filter at the medium severity threshold for all four content harms categories for both prompts and completions. That means that content that is detected at severity level medium or high is filtered, while content detected at severity level low or safe is not filtered by the content filters. Learn more about content categories, severity levels, and the behavior of the content filtering system [here](../concepts/content-filter.md). 
+
+Jailbreak risk detection and protected text and code models are optional and off by default. For jailbreak and protected material text and code models, the configurability feature allows all customers to turn the models on and off. The models are by default off and can be turned on per your scenario. Some models are required to be on for certain scenarios to retain coverage under the [Customer Copyright Commitment](/legal/cognitive-services/openai/customer-copyright-commitment?context=%2Fazure%2Fai-services%2Fopenai%2Fcontext%2Fcontext).
 
 > [!NOTE]
 > All customers have the ability to modify the content filters and configure the severity thresholds (low, medium, high). Approval is required for turning the content filters partially or fully off. Managed customers only may apply for full content filtering control via this form: [Azure OpenAI Limited Access Review: Modified Content Filters](https://ncv.microsoft.com/uEfCgnITdR). At this time, it is not possible to become a managed customer.
@@ -37,7 +41,7 @@ You can configure the following filter categories in addition to the default har
 
 |Filter category  |Status |Default setting  |Applied to prompt or completion?  |Description  |
 |---------|---------|---------|---------|---|
-|Prompt Shields for direct attacks (jailbreak)     |GA|    On     |   User prompt      |   Filters / annotates user prompts that might present a Jailbreak Risk. For more information about annotations, visit [Azure OpenAI Service content filtering](/azure/ai-services/openai/concepts/content-filter?tabs=python#annotations-preview). |
+|Prompt Shields for direct attacks (jailbreak)     |GA|    On     |   User prompt      |   Filters / annotates user prompts that might present a Jailbreak Risk. For more information about annotations, visit [Azure AI Foundry content filtering](/azure/ai-services/openai/concepts/content-filter?tabs=python#annotations-preview). |
 |Prompt Shields for indirect attacks  | GA| Off | User prompt | Filter / annotate Indirect Attacks, also referred to as Indirect Prompt Attacks or Cross-Domain Prompt Injection Attacks, a potential vulnerability where third parties place malicious instructions inside of documents that the generative AI system can access and process. Requires: [Document embedding and formatting](/azure/ai-services/openai/concepts/content-filter?tabs=warning%2Cuser-prompt%2Cpython-new#embedding-documents-in-your-prompt). |
 | Protected material - code |GA| On | Completion | Filters protected code or gets the example citation and license information in annotations for code snippets that match any public code sources, powered by GitHub Copilot. For more information about consuming annotations, see the [content filtering concepts guide](/azure/ai-services/openai/concepts/content-filter#annotations-preview) |
 | Protected material - text | GA| On | Completion | Identifies and blocks known text content from being displayed in the model output (for example, song lyrics, recipes, and selected web content).  |
@@ -60,5 +64,5 @@ We recommend informing your content filtering configuration decisions through an
 ## Related content
 
 - Learn more about Responsible AI practices for Azure OpenAI: [Overview of Responsible AI practices for Azure OpenAI models](/legal/cognitive-services/openai/overview?context=/azure/ai-services/openai/context/context).
-- Read more about [content filtering categories and severity levels](../concepts/content-filter.md) with Azure OpenAI Service.
+- Read more about [content filtering categories and severity levels](../concepts/content-filter.md) with Azure AI Foundry.
 - Learn more about red teaming from our: [Introduction to red teaming large language models (LLMs) article](../concepts/red-teaming.md).

articles/ai-services/openai/includes/gpt-v-studio.md

@@ -15,7 +15,7 @@ Start using images in your AI chats with a no-code approach through Azure AI Fou
 ## Prerequisites
 
 - An Azure subscription. <a href="https://azure.microsoft.com/free/ai-services" target="_blank">Create one for free</a>.
-- An Azure OpenAI Service resource. See [GPT-4 and GPT-4 Turbo Preview model availability](../concepts/models.md#gpt-4-and-gpt-4-turbo-model-availability) for available regions. For more information about resource creation, see the [resource deployment guide](/azure/ai-services/openai/how-to/create-resource).
+- An Azure OpenAI Service resource. For more information about resource creation, see the [resource deployment guide](/azure/ai-services/openai/how-to/create-resource).
 
 ## Go to Azure AI Foundry