fixed per PR review feedback

Author: eric-urban

articles/ai-foundry/model-inference/includes/configure-project-connection/portal.md

@@ -32,7 +32,7 @@ You can create a connection to an Azure AI services resource using the following
 
 8. Return to the project's landing page to continue and now select the new created connection. Refresh the page if it doesn't show up immediately. 
 
-   :::image type="content" source="../../media/quickstart-ai-project/overview-endpoint-and-key.png" alt-text="An screenshot of the landing page for the project, highlighting the location of the connected resource and the associated inference endpoint." lightbox="../../media/quickstart-ai-project/overview-endpoint-and-key.png":::
+   :::image type="content" source="../../media/quickstart-ai-project/overview-endpoint-and-key.png" alt-text="Screenshot of the landing page for the project, highlighting the location of the connected resource and the associated inference endpoint." lightbox="../../media/quickstart-ai-project/overview-endpoint-and-key.png":::
 
 ## See model deployments in the connected resource
 
@@ -44,7 +44,7 @@ You can see the model deployments available in the connected resource by followi
 
 3. The page displays the model deployments available to your, grouped by connection name. Locate the connection you have just created, which should be of type **Azure AI Services**.
 
-   :::image type="content" source="../../media/quickstart-ai-project/endpoints-ai-services-connection.png" alt-text="An screenshot showing the list of models available under a given connection." lightbox="../../media/quickstart-ai-project/endpoints-ai-services-connection.png":::
+   :::image type="content" source="../../media/quickstart-ai-project/endpoints-ai-services-connection.png" alt-text="Screenshot showing the list of models available under a given connection." lightbox="../../media/quickstart-ai-project/endpoints-ai-services-connection.png":::
 
 4. Select any model deployment you want to inspect.
 

articles/ai-foundry/model-inference/includes/create-model-deployments/portal.md

@@ -30,7 +30,7 @@ You can add models to the Azure AI model inference endpoint using the following
 
 5. For model providers that require more terms of contract, you'll be asked to accept those terms. This is the case for Mistral models for instance. Accept the terms on those cases by selecting **Subscribe and deploy**.
 
-   :::image type="content" source="../../media/add-model-deployments/models-deploy-agree.png" alt-text="An screenshot showing how to agree the terms and conditions of a Mistral-Large model." lightbox="../../media/add-model-deployments/models-deploy-agree.png":::
+   :::image type="content" source="../../media/add-model-deployments/models-deploy-agree.png" alt-text="Screenshot showing how to agree the terms and conditions of a Mistral-Large model." lightbox="../../media/add-model-deployments/models-deploy-agree.png":::
 
 6. You can configure the deployment settings at this time. By default, the deployment receives the name of the model you're deploying. The deployment name is used in the `model` parameter for request to route to this particular model deployment. This allows you to also configure specific names for your models when you attach specific configurations. For instance `o1-preview-safe` for a model with a strict content safety content filter.
 
@@ -39,7 +39,7 @@ You can add models to the Azure AI model inference endpoint using the following
 
 5. We automatically select an Azure AI Services connection depending on your project. Use the **Customize** option to change the connection based on your needs. If you're deploying under the **Standard** deployment type, the models need to be available in the region of the Azure AI Services resource.
 
-   :::image type="content" source="../../media/add-model-deployments/models-deploy-customize.png" alt-text="An screenshot showing how to customize the deployment if needed." lightbox="../../media/add-model-deployments/models-deploy-customize.png":::
+   :::image type="content" source="../../media/add-model-deployments/models-deploy-customize.png" alt-text="Screenshot showing how to customize the deployment if needed." lightbox="../../media/add-model-deployments/models-deploy-customize.png":::
 
    > [!TIP]
    > If the desired resource isn't listed, you might need to create a connection to it. See [Configure Azure AI model inference service in my project](../../how-to/configure-project-connection.md) in Azure AI Foundry portal.
@@ -56,7 +56,7 @@ You can manage the existing model deployments in the resource using Azure AI Fou
 
 2. Scroll to the connection to your Azure AI Services resource. Model deployments are grouped and displayed per connection.
 
-   :::image type="content" source="../../media/quickstart-ai-project/endpoints-ai-services-connection.png" alt-text="An screenshot showing the list of models available under a given connection." lightbox="../../media/quickstart-ai-project/endpoints-ai-services-connection.png":::
+   :::image type="content" source="../../media/quickstart-ai-project/endpoints-ai-services-connection.png" alt-text="Screenshot showing the list of models available under a given connection." lightbox="../../media/quickstart-ai-project/endpoints-ai-services-connection.png":::
 
 3. You see a list of models available under each connection. Select the model deployment you're interested in.
 
@@ -76,7 +76,7 @@ You can interact with the new model in Azure AI Foundry portal using the playgro
 
 3. In the **Deployment** drop down, under **Setup** select the name of the model deployment you have created.
 
-   :::image type="content" source="../../media/add-model-deployments/playground-chat-models.png" alt-text="An screenshot showing how to select a model deployment to use in playground." lightbox="../../media/add-model-deployments/playground-chat-models.png":::
+   :::image type="content" source="../../media/add-model-deployments/playground-chat-models.png" alt-text="Screenshot showing how to select a model deployment to use in playground." lightbox="../../media/add-model-deployments/playground-chat-models.png":::
 
 4. Type your prompt and see the outputs.
 

articles/ai-foundry/model-inference/includes/create-resources/portal.md

@@ -29,7 +29,7 @@ To create a project with an Azure AI Services account, follow these steps:
 
 6. The wizard updates with details about the resources that are going to be created. Select **Azure resources to be created** to see the details.
 
-    :::image type="content" source="../../media/create-resources/create-project-with-hub-details.png" alt-text="An screenshot showing the details of the project and hub to be created." lightbox="../../media/create-resources/create-project-with-hub-details.png":::    
+    :::image type="content" source="../../media/create-resources/create-project-with-hub-details.png" alt-text="Screenshot showing the details of the project and hub to be created." lightbox="../../media/create-resources/create-project-with-hub-details.png":::    
 
 7. You can see that the following resources are created:
 

articles/ai-foundry/model-inference/includes/github/add-model-deployments.md

@@ -23,16 +23,16 @@ You can add all the models you need in the endpoint by using [Azure AI Studio fo
 
 5. For model providers that require more terms of contract, you are asked to accept those terms. This is the case for Mistral models for instance. Accept the terms on those cases by selecting **Subscribe and deploy**.
 
-   :::image type="content" source="../../media/add-model-deployments/models-deploy-agree.png" alt-text="An screenshot showing how to agree the terms and conditions of a Mistral-Large model." lightbox="../../media/add-model-deployments/models-deploy-agree.png":::
+   :::image type="content" source="../../media/add-model-deployments/models-deploy-agree.png" alt-text="Screenshot showing how to agree the terms and conditions of a Mistral-Large model." lightbox="../../media/add-model-deployments/models-deploy-agree.png":::
 
-6.  You can configure the deployment settings at this time. By default, the deployment receives the name of the model you're deploying. The deployment name is used in the `model` parameter for request to route to this particular model deployment. This allows you to also configure specific names for your models when you attach specific configurations. For instance `o1-preview-safe` for a model with a strict content safety content filter.
+6.  You can configure the deployment settings at this time. By default, the deployment receives the name of the model you're deploying. The deployment name is used in the `model` parameter for request to route to this particular model deployment. This allows you to also configure specific names for your models when you attach specific configurations. For instance `o1-preview-safe` for a model with a strict content safety content filter. Use third-party models like Mistral, you can also configure the deployment to use a specific version of the model.
 
    > [!TIP]
    > Each model can support different deployments types, providing different data residency or throughput guarantees. See [deployment types](../../concepts/deployment-types.md) for more details.
 
 7.  Use the **Customize** option if you need to change settings like [content filter](../../concepts/content-filter.md).
 
-   :::image type="content" source="../../media/add-model-deployments/models-deploy-customize.png" alt-text="An screenshot showing how to customize the deployment if needed." lightbox="../../media/add-model-deployments/models-deploy-customize.png":::
+   :::image type="content" source="../../media/add-model-deployments/models-deploy-customize.png" alt-text="Screenshot showing how to customize the deployment if needed." lightbox="../../media/add-model-deployments/models-deploy-customize.png":::
 
 8.  Select **Deploy**.
 

articles/ai-foundry/model-inference/includes/how-to-prerequisites.md

@@ -13,4 +13,4 @@ author: santiagxf
 
 * The endpoint URL and key.
 
-    :::image type="content" source="../media/overview/overview-endpoint-and-key.png" alt-text="An screenshot showing how to get the URL and key associated with the resource." lightbox="../media/overview/overview-endpoint-and-key.png":::
+    :::image type="content" source="../media/overview/overview-endpoint-and-key.png" alt-text="Screenshot showing how to get the URL and key associated with the resource." lightbox="../media/overview/overview-endpoint-and-key.png":::

articles/ai-foundry/model-inference/includes/use-chat-completions/csharp.md

@@ -20,7 +20,7 @@ This article explains how to use chat completions API with models deployed to Az
 
 ## Prerequisites
 
-To use chat completion models in you application, you need:
+To use chat completion models in your application, you need:
 
 [!INCLUDE [how-to-prerequisites](../how-to-prerequisites.md)]
 

articles/ai-foundry/model-inference/includes/use-chat-completions/java.md

@@ -20,7 +20,7 @@ This article explains how to use chat completions API with models deployed to Az
 
 ## Prerequisites
 
-To use chat completion models in you application, you need:
+To use chat completion models in your application, you need:
 
 [!INCLUDE [how-to-prerequisites](../how-to-prerequisites.md)]
 

articles/ai-foundry/model-inference/includes/use-chat-completions/javascript.md

@@ -20,7 +20,7 @@ This article explains how to use chat completions API with models deployed to Az
 
 ## Prerequisites
 
-To use chat completion models in you application, you need:
+To use chat completion models in your application, you need:
 
 [!INCLUDE [how-to-prerequisites](../how-to-prerequisites.md)]
 

articles/ai-foundry/model-inference/includes/use-chat-completions/python.md

@@ -20,7 +20,7 @@ This article explains how to use chat completions API with models deployed to Az
 
 ## Prerequisites
 
-To use chat completion models in you application, you need:
+To use chat completion models in your application, you need:
 
 [!INCLUDE [how-to-prerequisites](../how-to-prerequisites.md)]
 

articles/ai-foundry/model-inference/includes/use-chat-completions/rest.md

@@ -20,7 +20,7 @@ This article explains how to use chat completions API with models deployed to Az
 
 ## Prerequisites
 
-To use chat completion models in you application, you need:
+To use chat completion models in your application, you need:
 
 [!INCLUDE [how-to-prerequisites](../how-to-prerequisites.md)]