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articles/ai-services/language-service/whats-new.md

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@@ -19,16 +19,13 @@ Azure AI Language is updated on an ongoing basis. Bookmark this page to stay up
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**2025-05-15-preview release**. The [latest API preview version](/rest/api/language/operation-groups?view=rest-language-2025-05-15-preview&preserve-view=true) includes updates for named entity recognition (NER) and PII detection:
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* New entity type support for `DateOfBirth`, `BankAccountNumber`, `PassportNumber`, and `DriversLicenseNumber`.
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* Improved AI quality for `PhoneNumber` entity type.
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**New agent templates**. Azure AI Language now supports the following agent templates:
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* [Intent routing](../agents/concepts/agent-catalog.md): Detects user intent and provides precise answers, ideal for deterministic intent routing, and exact question answering with human oversight.
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* [Exact question answering](../agents/concepts/agent-catalog.md): Delivers consistent, accurate responses to high-value predefined questions through deterministic methods.
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**PII detection enhancements**. Azure AI Language introduces new customization and entity subtype features for PII detection:
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* [Customize PII detection using your own regex](personally-identifiable-information/how-to/adapt-to-domain-pii.md#customizing-pii-detection-using-your-own-regex-only-available-for-text-pii-container) (Text PII container only).
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* [Specify values to exclude from PII output](personally-identifiable-information/how-to/adapt-to-domain-pii.md#customizing-pii-output-by-specifying-values-to-exclude).
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* [Use entity synonyms for tailored PII detection](personally-identifiable-information/how-to/adapt-to-domain-pii.md#api-schema-for-the-entitysynoyms-parameter).
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**Enhanced CLU and CQA Capabilities in Azure AI Foundry**. Azure AI Foundry now offers enhanced capabilities for fine-tuning with custom conversational language understanding (CLU) and conversational question-and-answer (CQA) AI features:
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* CLU and CQA authoring tools are now available in Azure AI Foundry.
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* CLU offers a quick deploy option powered by large language models (LLMs) for rapid deployment.

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