mentions of Language Studio

jboback · jboback · commit adda950ed49c · 2025-02-16T08:51:01.000-08:00
diff --git a/articles/ai-services/language-service/language-detection/includes/development-options.md b/articles/ai-services/language-service/language-detection/includes/development-options.md
@@ -13,6 +13,6 @@ To use language detection, you submit raw unstructured text for analysis and han
 
 |Development option  |Description  |
 |---------|---------|
-|Language studio     | Language Studio is a web-based platform that lets you try entity linking with text examples without an Azure account, and your own data when you sign up. For more information, see the [Language Studio website](https://language.cognitive.azure.com/tryout/detectLanguage) or [language studio quickstart](../../language-studio.md).         |
+|Azure AI Foundry     | Azure AI Foundry is a web-based platform that lets you use entity linking with text examples with your own data when you sign up. For more information, see the [Azure AI Foundry website](https://ai.azure.com) or [Azure AI Foundry documentation](../../../../ai-studio/what-is-ai-studio.md).         |
 |REST API or Client library (Azure SDK)      | Integrate language detection into your applications using the REST API, or the client library available in a variety of languages. For more information, see the [language detection quickstart](../quickstart.md).        |
 | Docker container | Use the available Docker container to [deploy this feature on-premises](../how-to/use-containers.md). These docker containers enable you to bring the service closer to your data for compliance, security, or other operational reasons. |
diff --git a/articles/ai-services/language-service/language-detection/overview.md b/articles/ai-services/language-service/language-detection/overview.md
@@ -45,5 +45,5 @@ An AI system includes not only the technology, but also the people who will use
 ## Next steps
 
 There are two ways to get started using the entity linking feature:
-* [Language Studio](../language-studio.md), which is a web-based platform that enables you to try several Azure AI Language features without needing to write code.
+* [Azure AI Foundry](../../../ai-studio/what-is-ai-studio.md) is a web-based platform that lets you use several Language service features without needing to write code.
 * The [quickstart article](quickstart.md) for instructions on making requests to the service using the REST API and client library SDK.  
diff --git a/articles/ai-services/language-service/named-entity-recognition/how-to-call.md b/articles/ai-services/language-service/named-entity-recognition/how-to-call.md
@@ -7,7 +7,7 @@ author: jboback
 manager: nitinme
 ms.service: azure-ai-language
 ms.topic: how-to
-ms.date: 11/21/2024
+ms.date: 02/15/2025
 ms.author: jboback
 ms.custom: language-service-ner, ignite-2024
 ---
diff --git a/articles/ai-services/language-service/named-entity-recognition/includes/development-options.md b/articles/ai-services/language-service/named-entity-recognition/includes/development-options.md
@@ -13,5 +13,5 @@ To use named entity recognition, you submit raw unstructured text for analysis a
 
 |Development option  |Description  |
 |---------|---------|
-|Language studio     | Language Studio is a web-based platform that lets you try entity linking with text examples without an Azure account, and your own data when you sign up. For more information, see the [Language Studio website](https://language.cognitive.azure.com/tryout/namedEntities) or [language studio quickstart](../../language-studio.md).         |
+|Azure AI Foundry     | Azure AI Foundry is a web-based platform that lets you use entity linking with text examples with your own data when you sign up. For more information, see the [Azure AI Foundry website](https://ai.azure.com) or [Azure AI Foundry documentation](../../../../ai-studio/what-is-ai-studio.md).         |
 |REST API or Client library (Azure SDK)      | Integrate named entity recognition into your applications using the REST API, or the client library available in a variety of languages. For more information, see the [named entity recognition quickstart](../quickstart.md).        |
diff --git a/articles/ai-services/language-service/named-entity-recognition/overview.md b/articles/ai-services/language-service/named-entity-recognition/overview.md
@@ -7,7 +7,7 @@ author: jboback
 manager: nitinme
 ms.service: azure-ai-language
 ms.topic: overview
-ms.date: 09/27/2024
+ms.date: 02/15/2025
 ms.author: jboback
 ms.custom: language-service-ner
 ---
@@ -46,5 +46,5 @@ An AI system includes not only the technology, but also the people who will use
 ## Next steps
 
 There are two ways to get started using the Named Entity Recognition (NER) feature:
-* [Language Studio](../language-studio.md), which is a web-based platform that enables you to try several Azure AI Language features without needing to write code.
+* [Azure AI Foundry](../../../ai-studio/what-is-ai-studio.md) is a web-based platform that lets you use several Language service features without needing to write code.
 * The [quickstart article](quickstart.md) for instructions on making requests to the service using the REST API and client library SDK.  
diff --git a/articles/ai-services/language-service/summarization/how-to/conversation-summarization.md b/articles/ai-services/language-service/summarization/how-to/conversation-summarization.md
@@ -54,9 +54,6 @@ There's another feature in Azure AI Language named [text summarization](../overv
 
 ## Submitting data
 
-> [!NOTE]
-> See the [Language Studio](../../language-studio.md#valid-text-formats-for-conversation-features) article for information on formatting conversational text to submit using Language Studio. 
-
 You submit documents to the API as strings of text. Analysis is performed upon receipt of the request. Because the API is [asynchronous](../../concepts/use-asynchronously.md), there might be a delay between sending an API request and receiving the results.  For information on the size and number of requests you can send per minute and second, see the data limits below.
 
 When you use this feature, the API results are available for 24 hours from the time the request was ingested, and is indicated in the response. After this time period, the results are purged and are no longer available for retrieval.
diff --git a/articles/ai-services/language-service/summarization/how-to/document-summarization.md b/articles/ai-services/language-service/summarization/how-to/document-summarization.md
@@ -40,9 +40,6 @@ For easier navigation, here are links to the corresponding sections for each ser
 
 ## Features
 
-> [!TIP]
-> If you want to start using these features, you can follow the [quickstart article](../quickstart.md) to get started. You can also make example requests using [Language Studio](../../language-studio.md) without needing to write code.
-
 The extractive summarization API uses natural language processing techniques to locate key sentences in an unstructured text document. These sentences collectively convey the main idea of the document.
 
 Extractive summarization returns a rank score as a part of the system response along with extracted sentences and their position in the original documents. A rank score is an indicator of how relevant a sentence is determined to be, to the main idea of a document. The model gives a score between 0 and 1 (inclusive) to each sentence and returns the highest scored sentences per request. For example, if you request a three-sentence summary, the service returns the three highest scored sentences.
diff --git a/articles/ai-services/language-service/summarization/includes/development-options.md b/articles/ai-services/language-service/summarization/includes/development-options.md
@@ -16,7 +16,7 @@ To use summarization, you submit for analysis and handle the API output in your
 
 |Development option  |Description  |
 |---------|---------|
-|Language studio     | Language Studio is a web-based platform that lets you try entity linking with text examples without an Azure account, and your own data when you sign up. For more information, see the [Language Studio website](https://language.cognitive.azure.com/tryout/summarization) or [language studio quickstart](../../language-studio.md).         |
+|Azure AI Foundry     | Azure AI Foundry is a web-based platform that lets you use entity linking with text examples with your own data when you sign up. For more information, see the [Azure AI Foundry website](https://ai.azure.com) or [Azure AI Foundry documentation](../../../../ai-studio/what-is-ai-studio.md).         |
 |REST API or Client library (Azure SDK)      | Integrate text summarization into your applications using the REST API, or the client library available in various languages. For more information, see the [summarization quickstart](../quickstart.md).        |
 
 
@@ -30,7 +30,7 @@ To use summarization, you submit for analysis and handle the API output in your
 
 |Development option  |Description  |
 |---------|---------|
-|Language studio     | Language Studio is a web-based platform that lets you try entity linking with text examples without an Azure account, and your own data when you sign up. For more information, see the [Language Studio website](https://language.cognitive.azure.com/tryout/summarization) or [language studio quickstart](../../language-studio.md).         |
+|Azure AI Foundry     | Azure AI Foundry is a web-based platform that lets you use entity linking with text examples with your own data when you sign up. For more information, see the [Azure AI Foundry website](https://ai.azure.com) or [Azure AI Foundry documentation](../../../../ai-studio/what-is-ai-studio.md).         |
 |REST API or Client library (Azure SDK)      | Integrate text summarization into your applications using the REST API, or the client library available in various languages. For more information, see the [summarization quickstart](../quickstart.md).  
 
 ---
diff --git a/articles/ai-services/language-service/text-analytics-for-health/includes/development-options.md b/articles/ai-services/language-service/text-analytics-for-health/includes/development-options.md
@@ -13,6 +13,6 @@ To use Text Analytics for health, you submit raw unstructured text for analysis
 
 |Development option  |Description  |
 |---------|---------|
-|Language studio     | Language Studio is a web-based platform that lets you try entity linking with text examples without an Azure account, and your own data when you sign up. For more information, see the [Language Studio website](https://language.cognitive.azure.com/tryout/healthAnalysis) or [language studio quickstart](../../language-studio.md).         |
+|Azure AI Foundry     | Azure AI Foundry is a web-based platform that lets you use entity linking with text examples with your own data when you sign up. For more information, see the [Azure AI Foundry website](https://ai.azure.com) or [Azure AI Foundry documentation](../../../../ai-studio/what-is-ai-studio.md).         |
 |REST API or Client library (Azure SDK)      | Integrate Text Analytics for health into your applications using the REST API, or the client library available in a variety of languages. For more information, see the [Text Analytics for health quickstart](../quickstart.md).        |
 | Docker container | Use the available Docker container to [deploy this feature on-premises](../how-to/use-containers.md). These docker containers enable you to bring the service closer to your data for compliance, security, or other operational reasons. |
