Merge branch 'main' of https://github.com/microsoftdocs/azure-ai-docs-pr into monitor

Author: v-thepet

articles/ai-services/openai/how-to/deployment-types.md

@@ -119,7 +119,7 @@ You can use the following policy to disable access to Azure OpenAI global standa
 
 ## Deploy models
 
-:::image type="content" source="../media/deployment-types/deploy-models.png" alt-text="Screenshot that shows the model deployment dialog in Azure OpenAI Studio with three deployment types highlighted." lightbox="../media/deployment-types/deploy-models.png":::
+:::image type="content" source="../media/deployment-types/deploy-models-new.png" alt-text="Screenshot that shows the model deployment dialog in Azure OpenAI Studio with three deployment types highlighted." lightbox="../media/deployment-types/deploy-models-new.png":::
 
 To learn about creating resources and deploying models refer to the [resource creation guide](./create-resource.md).
 

articles/ai-services/openai/how-to/dynamic-quota.md

@@ -56,7 +56,7 @@ To use dynamic quota, you must:
 
 To activate dynamic quota for your deployment, you can go to the advanced properties in the resource configuration, and switch it on:
 
-:::image type="content" source="../media/how-to/dynamic-quota/dynamic-quota.png" alt-text="Screenshot of advanced configuration UI for deployments." lightbox="../media/how-to/dynamic-quota/dynamic-quota.png":::
+:::image type="content" source="../media/how-to/dynamic-quota/dynamic-quota-new.png" alt-text="Screenshot of advanced configuration UI for deployments." lightbox="../media/how-to/dynamic-quota/dynamic-quota-new.png":::
 
 Alternatively, you can enable it programmatically with Azure CLI's [`az rest`](/cli/azure/reference-index?view=azure-cli-latest#az-rest&preserve-view=true):
 

articles/ai-services/openai/how-to/quota.md

@@ -46,7 +46,7 @@ When you create a model deployment, you have the option to assign Tokens-Per-Min
 
 To create a new deployment from within the Azure AI Studio under **Shared Resources** select **Deployments** > **Deploy model** > **Deploy base model** > **Select Model** > **Confirm**.
 
-:::image type="content" source="../media/quota/deployment.png" alt-text="Screenshot of the deployment UI of Azure AI Studio" lightbox="../media/quota/deployment.png":::
+:::image type="content" source="../media/quota/deployment-new.png" alt-text="Screenshot of the deployment UI of Azure AI Studio" lightbox="../media/quota/deployment-new.png":::
 
 Post deployment you can adjust your TPM allocation by selecting **Edit** under **Shared resources** > **Deployments** in Azure OpenAI Studio. You can also modify this selection within the new quota management experience under **Management** > **Quotas**.
 
@@ -66,7 +66,7 @@ All other model classes have a common max TPM value.
 
 For an all up view of your quota allocations across deployments in a given region, select **Management** > **Quota** in Azure AI Studio:
 
-:::image type="content" source="../media/quota/quota.png" alt-text="Screenshot of the quota UI of Azure AI Studio" lightbox="../media/quota/quota.png":::
+:::image type="content" source="../media/quota/quota-new.png" alt-text="Screenshot of the quota UI of Azure AI Studio" lightbox="../media/quota/quota-new.png":::
 
 - **Deployment**: Model deployments divided by model class.
 - **Quota type**: There's one quota value per region for each model type. The quota covers all versions of that model.  

articles/ai-services/openai/how-to/working-with-models.md

@@ -22,7 +22,7 @@ You can get a list of models that are available for both inference and fine-tuni
 
 Azure OpenAI now supports automatic updates for select model deployments. On models where automatic update support is available, a model version drop-down is visible in Azure OpenAI Studio under **Deployments** and **Edit**:
 
-:::image type="content" source="../media/models/auto-update.png" alt-text="Screenshot of the deploy model UI of Azure OpenAI Studio." lightbox="../media/models/auto-update.png":::
+:::image type="content" source="../media/models/auto-update-new.png" alt-text="Screenshot of the deploy model UI of Azure OpenAI Studio." lightbox="../media/models/auto-update-new.png":::
 
 You can learn more about Azure OpenAI model versions and how they work in the [Azure OpenAI model versions](../concepts/model-versions.md) article.
 
@@ -42,15 +42,15 @@ When you select a specific model version for a deployment, this version remains
 
 For currently deployed models, from Azure OpenAI Studio select **Deployments**:
 
-:::image type="content" source="../media/models/deployments.png" alt-text="Screenshot of the deployment UI of Azure OpenAI Studio." lightbox="../media/models/deployments.png":::
+:::image type="content" source="../media/models/deployments-new.png" alt-text="Screenshot of the deployment UI of Azure OpenAI Studio." lightbox="../media/models/deployments-new.png":::
 
 ## Model deployment upgrade configuration
 
 You can check what model upgrade options are set for previously deployed models in [Azure OpenAI Studio](https://oai.azure.com). Select **Deployments** > Under the deployment name column select one of the deployment names that are highlighted in blue.
 
 Selecting a deployment name opens the **Properties** for the model deployment. You can view what upgrade options are set for your deployment under **Version update policy**:
 
-:::image type="content" source="../media/how-to/working-with-models/update-policy.png" alt-text="Screenshot of the model deployments property UI." lightbox="../media/how-to/working-with-models/update-policy.png":::
+:::image type="content" source="../media/how-to/working-with-models/update-policy-new.png" alt-text="Screenshot of the model deployments property UI." lightbox="../media/how-to/working-with-models/update-policy-new.png":::
 
 The corresponding property can also be accessed via [REST](../how-to/working-with-models.md#model-deployment-upgrade-configuration), [Azure PowerShell](/powershell/module/az.cognitiveservices/get-azcognitiveservicesaccountdeployment), and [Azure CLI](/cli/azure/cognitiveservices/account/deployment#az-cognitiveservices-account-deployment-show).
 

articles/ai-services/openai/includes/chatgpt-studio.md

@@ -20,13 +20,13 @@ Navigate to Azure OpenAI Studio at [https://oai.azure.com/](https://oai.azure.co
 
 From the Azure OpenAI Studio landing page, select **Chat playground**.
 
-:::image type="content" source="../media/quickstarts/chatgpt-playground.png" alt-text="Screenshot of the Azure OpenAI Studio landing page with Chat playground highlighted." lightbox="../media/quickstarts/chatgpt-playground.png":::
+:::image type="content" source="../media/quickstarts/chatgpt-playground-new.png" alt-text="Screenshot of the Azure OpenAI Studio landing page with Chat playground highlighted." lightbox="../media/quickstarts/chatgpt-playground-new.png":::
 
 ## Playground
 
 Start exploring OpenAI capabilities with a no-code approach through the Azure OpenAI Studio Chat playground. From this page, you can quickly iterate and experiment with the capabilities.
 
-:::image type="content" source="../media/quickstarts/chatgpt-playground-load.png" alt-text="Screenshot of the Chat playground page." lightbox="../media/quickstarts/chatgpt-playground-load.png":::
+:::image type="content" source="../media/quickstarts/chatgpt-playground-load-new.png" alt-text="Screenshot of the Chat playground page." lightbox="../media/quickstarts/chatgpt-playground-load-new.png":::
 
 ### Setup
 

articles/ai-services/openai/includes/connect-your-data-studio.md

@@ -19,7 +19,7 @@ Navigate to [Azure OpenAI Studio](https://oai.azure.com/) and sign-in with crede
 
 1. Select the **Bring your own data** tile
 
-    :::image type="content" source="../media/use-your-data/bring-your-data-card.png" alt-text="A screenshot of the Azure OpenAI Studio landing page." lightbox="../media/use-your-data/bring-your-data-card.png":::
+    :::image type="content" source="../media/use-your-data/bring-your-data-card-new.png" alt-text="A screenshot of the Azure OpenAI Studio landing page." lightbox="../media/use-your-data/bring-your-data-card-new.png":::
 
 1. In the **Chat playground**, Select **Add your data** and then **Add a data source**
 

articles/ai-services/openai/includes/dall-e-studio.md

@@ -50,7 +50,7 @@ Start exploring Azure OpenAI capabilities with a no-code approach through the **
 > [!NOTE]
 > The image generation APIs come with a content moderation filter. If Azure OpenAI recognizes your prompt as harmful content, it doesn't return a generated image. For more information, see [Content filtering](../concepts/content-filter.md).
 
-:::image type="content" source="../media/quickstarts/dall-e-studio.png" alt-text="Screenshot of the Azure OpenAI Studio landing page showing the DALL-E playground (Preview) with generated images of polar bears." lightbox="../media/quickstarts/dall-e-studio.png":::
+:::image type="content" source="../media/quickstarts/dall-e-studio-new.png" alt-text="Screenshot of the Azure OpenAI Studio landing page showing the DALL-E playground (Preview) with generated images of polar bears." lightbox="../media/quickstarts/dall-e-studio-new.png":::
 
 In the **Images playground**, you can also view Python and cURL code samples, which are prefilled according to your settings. Select **View code** near the top of the page. You can use this code to write an application that completes the same task.
 

articles/ai-services/openai/includes/fine-tuning-studio.md

@@ -360,7 +360,7 @@ Cross subscription/region deployment can be accomplished via [Python](/azure/ai-
 
 After your custom model deploys, you can use it like any other deployed model. You can use the **Playgrounds** in [Azure OpenAI Studio](https://oai.azure.com) to experiment with your new deployment. You can continue to use the same parameters with your custom model, such as `temperature` and `max_tokens`, as you can with other deployed models. For fine-tuned `babbage-002` and `davinci-002` models you will use the Completions playground and the Completions API. For fine-tuned `gpt-35-turbo-0613` models you will use the Chat playground and the Chat completion API.
 
-:::image type="content" source="../media/quickstarts/playground-load.png" alt-text="Screenshot of the Playground pane in Azure OpenAI Studio, with sections highlighted." lightbox="../media/quickstarts/playground-load.png":::
+:::image type="content" source="../media/quickstarts/playground-load-new.png" alt-text="Screenshot of the Playground pane in Azure OpenAI Studio, with sections highlighted." lightbox="../media/quickstarts/playground-load-new.png":::
 
 ## Analyze your custom model
 

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

@@ -19,13 +19,13 @@ Navigate to Azure OpenAI Studio at <a href="https://oai.azure.com/" target="_bla
 
 From the Azure OpenAI Studio landing page navigate further to explore examples for prompt completion, manage your deployments and models, and find learning resources such as documentation and community forums. 
 
-:::image type="content" source="../media/quickstarts/studio-start.png" alt-text="Screenshot of the Azure OpenAI Studio landing page." lightbox="../media/quickstarts/studio-start.png":::
+:::image type="content" source="../media/quickstarts/studio-start-new.png" alt-text="Screenshot of the Azure OpenAI Studio landing page." lightbox="../media/quickstarts/studio-start-new.png":::
 
 ## Playground
 
 Start exploring Azure OpenAI capabilities with a no-code approach through the GPT-3 Playground. It's simply a text box where you can submit a prompt to generate a completion. From this page, you can quickly iterate and experiment with the capabilities. 
 
-:::image type="content" source="../media/quickstarts/playground-load.png" alt-text="Screenshot of the playground page of the Azure OpenAI Studio with sections highlighted." lightbox="../media/quickstarts/playground-load.png":::
+:::image type="content" source="../media/quickstarts/playground-load-new.png" alt-text="Screenshot of the playground page of the Azure OpenAI Studio with sections highlighted." lightbox="../media/quickstarts/playground-load-new.png":::
 
 You can select a deployment and choose from a few pre-loaded examples to get started. If your resource doesn't have a deployment, select **Create a deployment** and follow the instructions provided by the wizard. For more information about model deployment, see the [resource deployment guide](../how-to/create-resource.md).
 
@@ -49,7 +49,7 @@ To use the Azure OpenAI for text summarization in the Completions playground, fo
 1. Select your deployment from the **Deployments** dropdown. If your resource doesn't have a deployment, select **Create a deployment** and then revisit this step.
 1. Enter a prompt for the model.
 
-    :::image type="content" source="../media/quickstarts/summarize-text.png" alt-text="Screenshot of the playground page of the Azure OpenAI Studio with a text summarization example." lightbox="../media/quickstarts/summarize-text.png":::
+    :::image type="content" source="../media/quickstarts/summarize-text-new.png" alt-text="Screenshot of the playground page of the Azure OpenAI Studio with a text summarization example." lightbox="../media/quickstarts/summarize-text-new.png":::
 
 1. Select `Generate`. Azure OpenAI will attempt to capture the context of text and rephrase it succinctly. You should get a result that resembles the following text:
 

articles/ai-services/openai/includes/use-your-data-studio.md

@@ -16,7 +16,7 @@ recommendations: false
 
 Start exploring Azure OpenAI capabilities with a no-code approach through the chat playground. It's simply a text box where you can submit a prompt to generate a completion. From this page, you can quickly iterate and experiment with the capabilities. 
 
-:::image type="content" source="../media/quickstarts/chat-playground.png" alt-text="Screenshot of the playground page of the Azure OpenAI Studio with sections highlighted." lightbox="../media/quickstarts/chat-playground.png":::
+:::image type="content" source="../media/quickstarts/chat-playground-new.png" alt-text="Screenshot of the playground page of the Azure OpenAI Studio with sections highlighted." lightbox="../media/quickstarts/chat-playground-new.png":::
 
 The playground gives you options to tailor your chat experience. On the right, you can select **Deployment** to determine which model generates a response using the search results from your index. You choose the number of past messages to include as conversation history for future generated responses. [Conversation history](../concepts/use-your-data.md#conversation-history-for-better-results) gives context to generate related responses but also consumes [token usage](../concepts/use-your-data.md#token-usage-estimation-for-azure-openai-on-your-data). The input token progress indicator keeps track of the token count of the question you submit.