Update tag-utterances.md

Author: ShawnJackson

articles/ai-services/language-service/conversational-language-understanding/how-to/tag-utterances.md

@@ -15,10 +15,10 @@ ms.custom: language-service-clu
 
 After you [build a schema](build-schema.md) for your fine-tuning task, you add training utterances to your project. The utterances should be similar to what your users use when they interact with the project. When you add an utterance, you have to assign which intent it belongs to. After the utterance is added, label the words within your utterance that you want to extract as entities.
 
-Data labeling is a crucial step in the conversational language understanding (CLU) trained development lifecycle. This data is used in the next step when you train your model so that your model can learn from the labeled data. If you already labeled utterances, you can directly [import them into your project](create-project.md#import-project), if your data follows the [accepted data format](../concepts/data-formats.md). To learn more about importing labeled data, see [Create a CLU fine-tuning task](create-project.md#import-project). Labeled data informs the model about how to interpret text and is used for training and evaluation.
+Data labeling is a crucial step in the conversational language understanding (CLU) trained development lifecycle. This data is used in the next step when you train your model so that your model can learn from the labeled data. If you already labeled utterances, you can directly [import them into your project](create-project.md#import-a-project), if your data follows the [accepted data format](../concepts/data-formats.md). To learn more about importing labeled data, see [Create a CLU fine-tuning task](create-project.md#import-a-project). Labeled data informs the model about how to interpret text and is used for training and evaluation.
 
-   > [!TIP]
-  > Use the **Quick Deploy** option to implement custom CLU intent routing, which is powered by your own large language model deployment without adding or labeling any training data.
+> [!TIP]
+> Use the **Quick Deploy** option to implement custom CLU intent routing, which is powered by your own large language model deployment without adding or labeling any training data.
 
 ## Prerequisites