Merge pull request #216066 from aahill/clu-update

freshness updates

Author: prmerger-automator[bot]

articles/cognitive-services/language-service/conversational-language-understanding/includes/language-studio/test-model.md

@@ -5,7 +5,7 @@ manager: nitinme
 ms.service: cognitive-services
 ms.subservice: language-service
 ms.topic: include
-ms.date: 06/03/2022
+ms.date: 10/26/2022
 ms.author: aahi
 ---
 
@@ -22,7 +22,7 @@ To test your model from Language studio
 
 5. From deployment name dropdown, select your deployment name.
 
-6. In the text box, enter an utterance to test.
+6. In the text box, enter an utterance to test. For example, if you created an application for email-related utterances you could type *Delete this email*. 
 
 7. From the top menu, click on **Run the test**.
 

articles/cognitive-services/language-service/conversational-language-understanding/includes/quickstarts/language-studio.md

@@ -5,7 +5,7 @@ manager: nitinme
 ms.service: cognitive-services
 ms.subservice: language-service
 ms.topic: include
-ms.date: 06/03/2022
+ms.date: 10/26/2022
 ms.author: aahi
 ms.custom: ignite-fall-2021
 ---
@@ -32,14 +32,14 @@ For this quickstart, you can download [this sample project](https://go.microsoft
 
 [!INCLUDE [Import project](../language-studio/import-project.md)]
 
-Once the upload is complete, you will land on **Build schema** page. For this quickstart, the schema is already built, and utterances are already labeled with intents and entities.
+Once the upload is complete, you will land on **Schema definition** page. For this quickstart, the schema is already built, and utterances are already labeled with intents and entities.
 
 > [!div class="nextstepaction"]
 > <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=Language-studio&Pillar=Language&Product=Conversational-language-understanding&Page=quickstart&Section=Create-a-conversational-language-understanding-project" target="_target">I ran into an issue</a>
 
 ## Train your model
 
-Typically, after you create a project, you should [build schema](../../how-to/build-schema.md) and [label utterances](../../how-to/tag-utterances.md). For this quickstart, we already imported a ready project with built schema and labeled utterances. 
+Typically, after you create a project, you should [build a schema](../../how-to/build-schema.md) and [label utterances](../../how-to/tag-utterances.md). For this quickstart, we already imported a ready project with built schema and labeled utterances. 
 
 To train a model, you need to start a training job. The output of a successful training job is your trained model.
 
@@ -57,11 +57,6 @@ Generally after training a model you would review its evaluation details. In thi
 > [!div class="nextstepaction"]
 > <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=Language-studio&Pillar=Language&Product=Conversational-language-understanding&Page=quickstart&Section=Deploy-model" target="_target">I ran into an issue</a>
 
-## Test model
-
-After your model is deployed, you can start using it to make predictions through [Prediction API](https://aka.ms/clu-apis). For this quickstart, you will use the [Language Studio](https://aka.ms/LanguageStudio) to submit an utterance, get predictions and visualize the results.
-
-
 [!INCLUDE [Test model](../language-studio/test-model.md)]
 
 > [!div class="nextstepaction"]

articles/cognitive-services/language-service/conversational-language-understanding/overview.md

@@ -8,7 +8,7 @@ manager: nitinme
 ms.service: cognitive-services
 ms.subservice: language-service
 ms.topic: overview
-ms.date: 08/10/2022
+ms.date: 10/26/2022
 ms.author: aahi
 ms.custom: language-service-clu, ignite-fall-2021
 ---

articles/cognitive-services/language-service/conversational-language-understanding/quickstart.md

@@ -8,7 +8,7 @@ manager: nitinme
 ms.service: cognitive-services
 ms.subservice: language-service
 ms.topic: quickstart
-ms.date: 06/29/2022
+ms.date: 10/26/2022
 ms.author: aahi
 ms.custom: language-service-clu, ignite-fall-2021, mode-other
 zone_pivot_groups: usage-custom-language-features