fixes

Author: santiagxf

articles/ai-foundry/model-inference/how-to/use-image-embeddings.md

@@ -1,7 +1,7 @@
 ---
-title: How to generate embeddings with Azure AI model inference service
+title: How to generate image embeddings with Azure AI model inference service
 titleSuffix: Azure AI Foundry
-description: Learn how to generate embeddings with Azure AI model inference
+description: Learn how to generate image embeddings with Azure AI model inference
 manager: scottpolly
 author: msakande
 reviewer: santiagxf

articles/ai-foundry/model-inference/includes/use-image-embeddings/javascript.md

@@ -20,7 +20,7 @@ This article explains how to use image embeddings API with models deployed to Az
 
 ## Prerequisites
 
-To use embedding models in you application, you need:
+To use embedding models in your application, you need:
 
 [!INCLUDE [how-to-prerequisites](../how-to-prerequisites.md)]
 
@@ -54,7 +54,7 @@ const client = new ModelClient(
 );
 ```
 
-If you have configured the resource to with **Microsoft Entra ID** support, you can use the following code snippet to create a client.
+If you configured the resource to with **Microsoft Entra ID** support, you can use the following code snippet to create a client.
 
 ### Create embeddings
 
@@ -89,7 +89,7 @@ console.log(response.body.usage);
 ```
 
 > [!IMPORTANT]
-> Computing embeddings in batches may not be supported for all the models. This is the case of the `cohere-embed-v3` model. In this case, you need to send one image at a time.
+> Computing embeddings in batches may not be supported for all the models. For example, for `cohere-embed-v3` model, you need to send one image at a time.
 
 #### Embedding images and text pairs
 

articles/ai-foundry/model-inference/includes/use-image-embeddings/python.md

@@ -20,11 +20,11 @@ This article explains how to use image embeddings API with models deployed to Az
 
 ## Prerequisites
 
-To use embedding models in you application, you need:
+To use embedding models in your application, you need:
 
 [!INCLUDE [how-to-prerequisites](../how-to-prerequisites.md)]
 
-* An image embeddings model deployment. If you don't have one read [Add and configure models to Azure AI services](../../how-to/create-model-deployments.md) to add an embeddings model to your resource.
+* An image embeddings model deployment. If you don't have one, read [Add and configure models to Azure AI services](../../how-to/create-model-deployments.md) to add an embeddings model to your resource.
 
   * This example uses `Cohere-embed-v3-english` from Cohere.
 
@@ -54,7 +54,7 @@ model = ImageEmbeddingsClient(
 )
 ```
 
-If you have configured the resource to with **Microsoft Entra ID** support, you can use the following code snippet to create a client.
+If you configured the resource to with **Microsoft Entra ID** support, you can use the following code snippet to create a client.
 
 ### Create embeddings
 
@@ -86,7 +86,7 @@ print("Usage:", response.usage)
 ```
 
 > [!IMPORTANT]
-> Computing embeddings in batches may not be supported for all the models. This is the case of the `cohere-embed-v3` model. In this case, you need to send one image at a time.
+> Computing embeddings in batches may not be supported for all the models. For example, for `cohere-embed-v3` model, you need to send one image at a time.
 
 #### Embedding images and text pairs
 

articles/ai-foundry/model-inference/includes/use-image-embeddings/rest.md

@@ -20,7 +20,7 @@ This article explains how to use image embeddings API with models deployed to Az
 
 ## Prerequisites
 
-To use embedding models in you application, you need:
+To use embedding models in your application, you need:
 
 [!INCLUDE [how-to-prerequisites](../how-to-prerequisites.md)]
 
@@ -30,15 +30,15 @@ To use embedding models in you application, you need:
 
 ## Use embeddings
 
-To use the text embeddings, use the route `/images/embeddings` along with you credential indicated in `api-key`. `Authorization` header is also supported with the format `Bearer <key>`.
+To use the text embeddings, use the route `/images/embeddings` along with your credential indicated in `api-key`. `Authorization` header is also supported with the format `Bearer <key>`.
 
 ```http
 POST /images/embeddings
 Content-Type: application/json
 api-key: <key>
 ```
 
-If you have configured the resource with **Microsoft Entra ID** support, pass you token in the `Authorization` header:
+If you configured the resource with **Microsoft Entra ID** support, pass you token in the `Authorization` header:
 
 ```http
 POST /images/embeddings
@@ -94,7 +94,7 @@ The response is as follows, where you can see the model's usage statistics:
 ```
 
 > [!IMPORTANT]
-> Computing embeddings in batches may not be supported for all the models. This is the case of the `cohere-embed-v3` model. In this case, you need to send one image at a time.
+> Computing embeddings in batches may not be supported for all the models. For example, for `cohere-embed-v3` model, you need to send one image at a time.
 
 #### Embedding images and text pairs