changed openai deployment

Author: jboback

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

@@ -107,7 +107,7 @@ In the Data Labeling page:
 
 1. Select the **Suggest utterances** button. A pane will open up on the right side prompting you to select your Azure OpenAI resource and deployment. 
 2. On selection of an Azure OpenAI resource, select **Connect**, which allows your Language resource to have direct access to your Azure OpenAI resource. It assigns your Language resource the role of `Cognitive Services User` to your Azure OpenAI resource, which allows your current Language resource to have access to Azure OpenAI's service. If the connection fails, follow these [steps](#add-required-configurations-to-azure-openai-resource) below to add the right role to your Azure OpenAI resource manually. 
-3. Once the resource is connected, select the deployment. The recommended model for the Azure OpenAI deployment is `text-davinci-002`.
+3. Once the resource is connected, select the deployment. The recommended model for the Azure OpenAI deployment is `gpt-35-turbo-instruct`.
 4. Select the intent you'd like to get suggestions for. Make sure the intent you have selected has at least 5 saved utterances to be enabled for utterance suggestions. The suggestions provided by Azure OpenAI are based on the **most recent utterances** you've added for that intent. 
 5. Select **Generate utterances**. Once complete, the suggested utterances will show up with a dotted line around it, with the note *Generated by AI*. Those suggestions need to be accepted or rejected. Accepting a suggestion simply adds it to your project, as if you had added it yourself. Rejecting it deletes the suggestion entirely. Only accepted utterances will be part of your project and used for training or testing. You can accept or reject by clicking on the green check or red cancel buttons beside each utterance. You can also use the `Accept all` and `Reject all` buttons in the toolbar.