test

Author: mrbullwinkle

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

@@ -178,8 +178,11 @@ The next step is to either choose existing prepared training data or upload new
 - To upload training data to fine-tune your model, select **Upload data** and then select **Upload file**.  
    - Make sure all your training examples follow the expected format for inference. To fine-tune models effectively, ensure a balanced and diverse dataset. This involves maintaining data balance, including various scenarios, and periodically refining training data to align with real-world expectations, ultimately leading to more accurate and balanced model responses. See [data preparation](#prepare-your-training-and-validation-data) for more information.
    - For large data files, we recommend that you import from an Azure Blob store. Large files can become unstable when uploaded through multipart forms because the requests are atomic and can't be retried or resumed. For more information about Azure Blob Storage, see [What is Azure Blob Storage](../../../storage/blobs/storage-blobs-overview.md)?
+
+
 > [!NOTE]
 > Training data files must be formatted as JSONL files, encoded in UTF-8 with a byte-order mark (BOM). The file must be less than 512 MB in size.
+
     :::image type="content" source="../media/fine-tuning/ai-studio/fine-tune-training-data-preview.png" alt-text="Screenshot of option to upload training data locally." lightbox="../media/fine-tuning/ai-studio/fine-tune-training-data-preview.png":::
 
 After uploading files, you will see a preview of your training data. Select **Next** to continue.