Removed notes and migration to AAOYD doc

jboback · jboback · commit af55c66dd3be · 2024-10-29T15:07:37.000-07:00
diff --git a/articles/ai-services/language-service/custom-text-analytics-for-health/overview.md b/articles/ai-services/language-service/custom-text-analytics-for-health/overview.md
@@ -12,7 +12,10 @@ ms.author: jboback
 ms.custom: language-service-custom-ta4h
 ---
 
-# What is custom Text Analytics for health? 
+# What is custom Text Analytics for health?
+
+> [NOTE]
+> Custom text analytics for health (preview) will be retired on 10 January 2025, please transition to other custom model training services, such as custom named entity recognition in Azure AI Language, by that date. From now to 10 January 2025, you can continue to use custom text analytics for health (preview) in your existing projects without disruption. You can’t create new projects. On 10 January 2025 – workloads running on custom text analytics for health (preview) will be deleted and associated project data will be lost.
 
 Custom Text Analytics for health is one of the custom features offered by [Azure AI Language](../overview.md). It is a cloud-based API service that applies machine-learning intelligence to enable you to build custom models on top of [Text Analytics for health](../text-analytics-for-health/overview.md) for custom healthcare entity recognition tasks.
 
diff --git a/articles/ai-services/language-service/custom-text-analytics-for-health/quickstart.md b/articles/ai-services/language-service/custom-text-analytics-for-health/quickstart.md
@@ -15,6 +15,9 @@ zone_pivot_groups: usage-custom-language-features
 
 # Quickstart: custom Text Analytics for health
 
+> [NOTE]
+> Custom text analytics for health (preview) will be retired on 10 January 2025, please transition to other custom model training services, such as custom named entity recognition in Azure AI Language, by that date. From now to 10 January 2025, you can continue to use custom text analytics for health (preview) in your existing projects without disruption. You can’t create new projects. On 10 January 2025 – workloads running on custom text analytics for health (preview) will be deleted and associated project data will be lost.
+
 Use this article to get started with creating a custom Text Analytics for health project where you can train custom models on top of Text Analytics for health for custom entity recognition. A model is artificial intelligence software that's trained to do a certain task. For this system, the models extract healthcare related named entities and are trained by learning from labeled data.
 
 In this article, we use Language Studio to demonstrate key concepts of custom Text Analytics for health. As an example we’ll build a custom Text Analytics for health model to extract the Facility or treatment location from short discharge notes.
diff --git a/articles/ai-services/language-service/question-answering/overview.md b/articles/ai-services/language-service/question-answering/overview.md
@@ -13,9 +13,6 @@ ms.custom: language-service-question-answering
 
 # What is custom question answering?
 
-> [!NOTE]
-> [Azure OpenAI On Your Data](../../openai/concepts/use-your-data.md) utilizes large language models (LLMs) to produce similar results to Custom Question Answering. If you wish to connect an existing Custom Question Answering project to Azure OpenAI On Your Data, please check out our [guide]( how-to/azure-openai-integration.md).
-
 Custom question answering provides cloud-based Natural Language Processing (NLP) that allows you to create a natural conversational layer over your data. It is used to find appropriate answers from customer input or from a project.
 
 Custom question answering is commonly used to build conversational client applications, which include social media applications, chat bots, and speech-enabled desktop applications. This offering includes features like enhanced relevance using a deep learning ranker, precise answers, and end-to-end region support.
diff --git a/articles/ai-services/language-service/sentiment-opinion-mining/custom/quickstart.md b/articles/ai-services/language-service/sentiment-opinion-mining/custom/quickstart.md
@@ -15,6 +15,9 @@ zone_pivot_groups: usage-custom-language-features
 
 # Quickstart: Custom sentiment analysis (preview)
 
+> [NOTE]
+> Custom sentiment analysis (preview) will be retired on 10 January 2025, please transition to other custom model training services, such as custom text classification in Azure AI Language, by that date. From now to 10 January 2025, you can continue to use custom sentiment analysis (preview) in your existing projects without disruption. You can’t create new projects. On 10 January 2025 – workloads running on custom sentiment analysis (preview) will be deleted and associated project data will be lost. 
+
 Use this article to get started with creating a Custom sentiment analysis project where you can train custom models for detecting the sentiment of text. A model is artificial intelligence software that's trained to do a certain task. For this system, the models classify text, and are trained by learning from tagged data.
 
 ::: zone pivot="language-studio"
diff --git a/articles/ai-services/qnamaker/how-to/migrate-to-openai.md b/articles/ai-services/qnamaker/how-to/migrate-to-openai.md
diff --git a/articles/ai-services/qnamaker/overview/overview.md b/articles/ai-services/qnamaker/overview/overview.md
@@ -13,9 +13,6 @@ keywords: "qna maker, low code chat bots, multi-turn conversations"
 
 # What is QnA Maker?
 
-> [!NOTE]
-> [Azure OpenAI On Your Data](../../openai/concepts/use-your-data.md) utilizes large language models (LLMs) to produce similar results to QnA Maker. If you wish to migrate your QnA Maker project to Azure OpenAI On Your Data, please check out our [guide](../How-To/migrate-to-openai.md).
-
 [!INCLUDE [Custom question answering](../includes/new-version.md)]
 
 QnA Maker is a cloud-based Natural Language Processing (NLP) service that allows you to create a natural conversational layer over your data. It is  used to find the most appropriate answer for any input from your custom knowledge base (KB) of information.
diff --git a/articles/ai-services/qnamaker/quickstarts/add-question-metadata-portal.md b/articles/ai-services/qnamaker/quickstarts/add-question-metadata-portal.md
@@ -13,9 +13,6 @@ ms.custom: mode-ui
 
 # Add questions and answer with QnA Maker portal
 
-> [!NOTE]
-> [Azure OpenAI On Your Data](../../openai/concepts/use-your-data.md) utilizes large language models (LLMs) to produce similar results to QnA Maker. If you wish to migrate your QnA Maker project to Azure OpenAI On Your Data, please check out our [guide](../How-To/migrate-to-openai.md).
-
 Once a knowledge base is created, add question and answer (QnA) pairs with metadata to filter the answer. The questions in the following table are about Azure service limits, but each has to do with a different Azure search service.
 
 [!INCLUDE [Custom question answering](../includes/new-version.md)]
diff --git a/articles/ai-services/qnamaker/quickstarts/create-publish-knowledge-base.md b/articles/ai-services/qnamaker/quickstarts/create-publish-knowledge-base.md
@@ -13,9 +13,6 @@ ms.custom: mode-other
 
 # Quickstart: Create, train, and publish your QnA Maker knowledge base
 
-> [!NOTE]
-> [Azure OpenAI On Your Data](../../openai/concepts/use-your-data.md) utilizes large language models (LLMs) to produce similar results to QnA Maker. If you wish to migrate your QnA Maker project to Azure OpenAI On Your Data, please check out our [guide](../How-To/migrate-to-openai.md).
-
 [!INCLUDE [Custom question answering](../includes/new-version.md)]
 
 You can create a QnA Maker knowledge base (KB) from your own content, such as FAQs or product manuals. This article includes an example of creating a QnA Maker knowledge base from a simple FAQ webpage, to answer questions.
diff --git a/articles/ai-services/qnamaker/quickstarts/get-answer-from-knowledge-base-using-url-tool.md b/articles/ai-services/qnamaker/quickstarts/get-answer-from-knowledge-base-using-url-tool.md
@@ -15,9 +15,6 @@ ms.date: 01/19/2024
 
 # Get an answer from a QNA Maker knowledge base
 
-> [!NOTE]
-> [Azure OpenAI On Your Data](../../openai/concepts/use-your-data.md) utilizes large language models (LLMs) to produce similar results to QnA Maker. If you wish to migrate your QnA Maker project to Azure OpenAI On Your Data, please check out our [guide](../How-To/migrate-to-openai.md).
-
 [!INCLUDE [Custom question answering](../includes/new-version.md)]
 
 > [!NOTE]
diff --git a/articles/ai-services/qnamaker/quickstarts/quickstart-sdk.md b/articles/ai-services/qnamaker/quickstarts/quickstart-sdk.md
@@ -15,9 +15,6 @@ zone_pivot_groups: qnamaker-quickstart
 
 # Quickstart: QnA Maker client library
 
-> [!NOTE]
-> [Azure OpenAI On Your Data](../../openai/concepts/use-your-data.md) utilizes large language models (LLMs) to produce similar results to QnA Maker. If you wish to migrate your QnA Maker project to Azure OpenAI On Your Data, please check out our [guide](../How-To/migrate-to-openai.md).
-
 Get started with the QnA Maker client library. Follow these steps to install the package and try out the example code for basic tasks.
 
 [!INCLUDE [Custom question answering](../includes/new-version.md)]
