minor update

Author: changliu2

articles/ai-foundry/how-to/develop/cloud-evaluation.md

@@ -110,17 +110,17 @@ To learn more about input data formats for evaluating agents, see [evaluating Az
 
 We provide two ways to register your data in Azure AI project required for evaluations in the cloud:
 
-1. **From SDK**: Upload new data from your local directory to your Azure AI project in the SDK, and fetch the dataset ID as a result. 
-
+1. Uploading new datasets to your Project:
 
+- **From SDK**: Upload new data from your local directory to your Azure AI project in the SDK, and fetch the dataset ID as a result. 
 
 ```python
 data_id, _ = project_client.upload_file("./evaluate_test_data.jsonl")
 ```
 
-**From UI**: Alternatively, you can upload new data or update existing data versions by following the UI walkthrough under the **Data** tab of your Azure AI project.
+- **From UI**: Alternatively, you can upload new data or update existing data versions by following the UI walkthrough under the **Data** tab of your Azure AI project.
 
-2. Given existing datasets uploaded to your Project:
+2. Specifying existing datasets uploaded to your Project:
 
 - **From SDK**: if you already know the dataset name you created, construct the dataset ID in this format: `/subscriptions/<subscription-id>/resourceGroups/<resource-group>/providers/Microsoft.MachineLearningServices/workspaces/<project-name>/data/<dataset-name>/versions/<version-number>`
 

articles/ai-foundry/how-to/develop/evaluate-sdk.md

@@ -358,7 +358,7 @@ You can use our built-in AI-assisted and NLP quality evaluators to assess the pe
 > [!NOTE]
 > It's strongly recommended that `gpt-3.5-turbo` should be replaced by `gpt-4o-mini` for your evaluator model, as the latter is cheaper, more capable, and just as fast according to [OpenAI](https://platform.openai.com/docs/models/gpt-4#gpt-3-5-turbo).
 >
-> Make sure the you have at least `Cognitive Services OpenAI User` role for the Azure OpenAI resource to make inference calls with API key. To learn more about permissions, see [permissions for Azure OpenAI resource](../../../ai-services/openai/how-to/role-based-access-control.md#summary).  
+> Make sure that you have at least `Cognitive Services OpenAI User` role for the Azure OpenAI resource to make inference calls with API key. To learn more about permissions, see [permissions for Azure OpenAI resource](../../../ai-services/openai/how-to/role-based-access-control.md#summary).  
 
 2. For `GroundednessProEvaluator` (preview), instead of a GPT deployment in `model_config`, you must provide your `azure_ai_project` information. This accesses the backend evaluation service of your Azure AI project.