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update what's new
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articles/ai-services/language-service/whats-new.md

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@@ -18,11 +18,11 @@ Azure AI Language is updated on an ongoing basis. Bookmark this page to stay up
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* A new version of the Conversational Language Understanding (CLU) training configuration, aimed at minimizing overpredictions of the [None intent](conversational-language-understanding/concepts/none-intent.md)—particularly in multilingual contexts—is now supported in [REST API version 2025-15-05-preview](/rest/api/language/analyze-conversations/analyze-conversations?view=rest-language-2025-05-15-preview&preserve-view=true).
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* The [Build your conversational agent](https://github.com/Azure-Samples/Azure-Language-OpenAI-Conversational-Agent-Accelerator) accelerator project has been updated to include a new routing strategy—**TRIAGE_AGENT**. This strategy uses an agent hosted on Azure AI Foundry Agent Service, utilizing Conversational Language Understanding (CLU) and Custom Question Answering (CQA) as tools to triage user intent for downstream agent routing and to deliver precise answers to specific questions. For more information, *see* [TechCommunity Blog Post](https://techcommunity.microsoft.com/blog/azure-ai-services-blog/announcing-azure-ai-language-new-features-to-accelerate-your-agent-development/4415216)
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* The [Build your conversational agent](https://github.com/Azure-Samples/Azure-Language-OpenAI-Conversational-Agent-Accelerator) accelerator project is updated to include a new routing strategy—**TRIAGE_AGENT**. This strategy uses an agent hosted on Azure AI Foundry Agent Service. It utilizes Conversational Language Understanding (CLU) and Custom Question Answering (CQA) as tools to triage user intent for downstream agent routing. Additionally, these tools help deliver precise answers to specific questions. For more information, *see* [TechCommunity Blog Post](https://techcommunity.microsoft.com/blog/azure-ai-services-blog/announcing-azure-ai-language-new-features-to-accelerate-your-agent-development/4415216)
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* The following [.NET SDKs](/dotnet/api/overview/azure/ai.textanalytics-readme?view=azure-dotnet&preserve-view=true) are now available, and support the latest REST API version **2025-15-05-preview**:
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* [Azure.AI.Language.Text 1.0.0-beta.3](https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/cognitivelanguage/Azure.AI.Language.Conversations/CHANGELOG.md)` provides inference capabilities for a wide range of language processing tasks, including language detection, sentiment analysis, key phrase extraction, named entity recognition (NER), personally identifiable information (PII) entity recognition, entity linking, text analytics for healthcare, custom NER, custom text classification, as well as both extractive and abstractive text summarization.
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* [Azure.AI.Language.Text 1.0.0-beta.3](https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/cognitivelanguage/Azure.AI.Language.Conversations/CHANGELOG.md) provides inference capabilities for a wide range of language processing tasks. These tasks include language detection, sentiment analysis, key phrase extraction, and named entity recognition (NER). The capabilities also cover personally identifiable information (PII) entity recognition, entity linking, text analytics for healthcare, custom NER, and custom text classification. In addition, both extractive and abstractive text summarization are supported.
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* [Azure.AI.Language.Conversation 2.0.0-beta.3](https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/cognitivelanguage/Azure.AI.Language.Conversations/CHANGELOG.md) provides inference capabilities for conversational PII, conversational language understanding (CLU), and conversation summarization.
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