Merge pull request #1525 from PatrickFarley/release-ignite-ai-studio

Release ignite ai studio

Author: JamesJBarnett

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

@@ -1,7 +1,7 @@
 ---
 title: 'Quickstart: Use GPT-4 Turbo with Vision on your images and videos with the Azure OpenAI Service'
 titleSuffix: Azure OpenAI
-description: Use this article to get started using Azure OpenAI Studio to deploy and use the GPT-4 Turbo with Vision model.  
+description: Use this article to get started using Azure AI Studio to deploy and use the GPT-4 Turbo with Vision model.  
 services: cognitive-services
 manager: nitinme
 ms.service: azure-ai-openai
@@ -10,7 +10,7 @@ ms.custom: references_regions
 ms.date: 10/03/2024
 ---
 
-Start exploring GPT-4 Turbo with Vision capabilities with a no-code approach through Azure OpenAI Studio.
+Start exploring GPT-4 Turbo with Vision capabilities with a no-code approach through Azure AI Studio.
 
 ## Prerequisites
 
@@ -20,9 +20,9 @@ Start exploring GPT-4 Turbo with Vision capabilities with a no-code approach thr
 > [!NOTE]
 > It is currently not supported to turn off content filtering for the GPT-4 Turbo with Vision model.
 
-## Go to Azure OpenAI Studio
+## Go to Azure AI Studio
 
-Browse to [Azure OpenAI Studio](https://oai.azure.com/) and sign in with the credentials associated with your Azure OpenAI resource. During or after the sign-in workflow, select the appropriate directory, Azure subscription, and Azure OpenAI resource.
+Browse to [Azure AI Studio](https://ai.azure.com/) and sign in with the credentials associated with your Azure OpenAI resource. During or after the sign-in workflow, select the appropriate directory, Azure subscription, and Azure OpenAI resource.
 
 Under **Management** select **Deployments** and **Create** a GPT-4 Turbo with Vision deployment by selecting model name: **"gpt-4"** and model version **"vision-preview"**. For more information about model deployment, see the [resource deployment guide](/azure/ai-services/openai/how-to/create-resource).  
 
@@ -50,7 +50,7 @@ In this chat session, you're instructing the assistant to aid in understanding i
 1. In the **Chat session** pane, enter a text prompt like "Describe this image," and upload an image with the attachment button. You can use a different text prompt for your use case. Then select **Send**. 
 1. Observe the output provided. Consider asking follow-up questions related to the analysis of your image to learn more.
 
-:::image type="content" source="../media/quickstarts/studio-vision.png" lightbox="../media/quickstarts/studio-vision.png" alt-text="Screenshot of OpenAI studio chat playground.":::
+:::image type="content" source="../media/quickstarts/studio-vision.png" lightbox="../media/quickstarts/studio-vision.png" alt-text="Screenshot of AI studio chat playground.":::
 
 
 ## Clean up resources

articles/ai-studio/ai-services/content-safety-overview.md

@@ -57,17 +57,11 @@ You can use Azure AI Content Safety for many scenarios:
 |Medium |Content that uses offensive, insulting, mocking, intimidating, or demeaning language towards specific identity groups, includes depictions of seeking and executing harmful instructions, fantasies, glorification, promotion of harm at medium intensity. |
 |High |Content that displays explicit and severe harmful instructions, actions, damage, or abuse; includes endorsement, glorification, or promotion of severe harmful acts, extreme or illegal forms of harm, radicalization, or nonconsensual power exchange or abuse. |
 
-## Other Content Safety features
-
-| Feature    | Functionality    | Concepts guide | 
-|:--- |:--- | ---|
-| [Groundedness detection](/rest/api/contentsafety/text-groundedness-detection-operations/detect-groundedness-options) (preview) | Detects whether the text responses of large language models (LLMs) are grounded in the source materials provided by the users. | [Groundedness detection concepts](/azure/ai-services/content-safety/concepts/groundedness)|
-| [Protected material text detection](/rest/api/contentsafety/text-operations/detect-text-protected-material) | Scans AI-generated text for known text content (for example, song lyrics, articles, recipes, selected web content). | [Protected material concepts](/azure/ai-services/content-safety/concepts/protected-material)|
-| Custom categories (standard) API (preview)    | Lets you create and train your own custom content categories and scan text for matches. | [Custom categories concepts](/azure/ai-services/content-safety/concepts/custom-categories)|
-| Custom categories (rapid) API (preview) | Lets you define emerging harmful content patterns and scan text and images for matches. | [Custom categories concepts](/azure/ai-services/content-safety/concepts/custom-categories)| 
+## Limitations
 
 Refer to the [Content Safety overview](/azure/ai-services/content-safety/overview) for supported regions, rate limits, and input requirements for all features. Refer to the [Language support](/azure/ai-services/content-safety/language-support) page for supported languages. 
 
+
 ## Next step 
 
 Get started using Azure AI Content Safety in Azure AI Studio by following the [How-to guide](./how-to/content-safety.md).

articles/ai-studio/ai-services/how-to/content-safety.md

@@ -68,6 +68,46 @@ The **Prompt Shields** panel lets you try out user input risk detection. Detect
 
 For more information, see the [Prompt Shields conceptual guide](/azure/ai-services/content-safety/concepts/jailbreak-detection). 
 
+
+
+## Use Groundedness detection
+
+The Groundedness detection panel lets you detect whether the text responses of large language models (LLMs) are grounded in the source materials provided by the users.
+
+1. Select the **Groundedness detection** panel.
+1. Select a sample content set on the page, or input your own for testing.
+1. Optionally, enable the reasoning feature and select your Azure OpenAI resource from the dropdown.
+1. Select **Run test**. 
+    The service returns the groundedness detection result.
+
+
+For more information, see the [Groundedness detection conceptual guide](/azure/ai-services/content-safety/concepts/groundedness).
+
+
+## Use Protected material detection
+
+This feature scans AI-generated text for known text content (for example, song lyrics, articles, recipes, selected web content).
+
+1. Select the **Protected material detection for text** or **Protected material detection for code** panel.
+1. Select a sample text on the page, or input your own for testing.
+1. Select **Run test**. 
+    The service returns the protected content result.
+
+For more information, see the [Protected material conceptual guide](/azure/ai-services/content-safety/concepts/protected-material).
+
+## Use custom categories
+
+This feature lets you create and train your own custom content categories and scan text for matches. 
+
+1. Select the **Custom categories** panel.
+1. Select **Add a new category** to open a dialog box. Enter your category name and a text description, and connect a blob storage container with text training data. Select **Create and train**. 
+1. Select a category and enter your sample input text, and select **Run test**. 
+    The service returns the custom category result.
+
+
+For more information, see the [Custom categories conceptual guide](/azure/ai-services/content-safety/concepts/custom-categories).
+
+
 ## Next step
 
 To use Azure AI Content Safety features with your Generative AI models, see the [Content filtering](../../concepts/content-filtering.md) guide.

articles/ai-studio/toc.yml

@@ -75,17 +75,7 @@ items:
       - name: Use your image data with Azure OpenAI
         href: how-to/data-image-add.md
         displayName: vision, gpt, turbo
-    - name: Azure AI Content Safety 
-      items:
-      - name: What is Azure AI Content Safety?
-        href: ai-services/content-safety-overview.md
-      - name: Use Azure AI Content Safety in AI Studio
-        href: ai-services/how-to/content-safety.md
-      - name: Content filtering
-        href: concepts/content-filtering.md
-      - name: Use blocklists
-        href: how-to/use-blocklists.md
-    - name: Azure AI Speech
+    - name: Azure Speech
       items:
       - name: Real-time speech to text
         href: ../ai-services/speech-service/get-started-speech-to-text.md?context=/azure/ai-studio/context/context
@@ -403,6 +393,14 @@ items:
   items:
   - name: Responsible AI overview
     href: responsible-use-of-ai-overview.md
+  - name: What is Azure AI Content Safety?
+    href: ai-services/content-safety-overview.md
+  - name: Use Azure AI Content Safety in AI Studio
+    href: ai-services/how-to/content-safety.md
+  - name: Content filtering
+    href: concepts/content-filtering.md
+  - name: Use blocklists
+    href: how-to/use-blocklists.md
   - name: Transparency notes for Azure AI Services
     href: ../ai-services/responsible-use-of-ai-overview.md?context=/azure/ai-studio/context/context
   - name: Limited Access features