@@ -6,7 +6,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: include
-ms.date: 07/17/2025
+ms.date: 07/21/2025
 ms.author: lajanuar
 ---
 
@@ -30,7 +30,7 @@ In this quickstart, learn to use the Document Intelligence REST API to analyze a
 
 * Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services)
 
-* cURL command-line tool installed.
+* The `cURL` command line tool installed.
 
 * **PowerShell version 7.*+** (or a similar command-line application.):
   * [Windows](/powershell/scripting/install/installing-powershell-on-windows)

@@ -39,9 +39,9 @@ The following table describes the minimum and recommended specifications for the
 
 We recommended that you have a CPU with AVX-512 instruction set, for the best experience (performance and accuracy).
 
-|     | Minimum host specs     | Recommended host specs |
+|  Processor   | Minimum host specs     | Recommended host specs |
 |---------------------|------------------------|------------------------|
-| **CLU**     | `1 core`, `2-GB memory`     | `4 cores`, `8-GB memory`    |
+| **CPU**     | 1-core, 2-GB memory     | 4-cores, 8-GB memory    |
 
 CPU core and memory correspond to the `--cpus` and `--memory` settings, which are used as part of the `docker run` command.
 
@@ -54,7 +54,7 @@ Before you proceed with running the docker image, you need to export your own tr
 |**{API_KEY}** |The key for your Language resource. You can find it on your resource's **Key and endpoint** page, on the Azure portal.|xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx|
 |**{ENDPOINT_URI}**|The endpoint for accessing the Conversational Language Understanding API. You can find it on your resource's **Key and endpoint** page, on the Azure portal.|`https://<your-custom-subdomain>.cognitiveservices.azure.com`|
 |**{PROJECT_NAME}**|The name of the project containing the model that you want to export. You can find it on your projects tab in the Language Studio portal.|myProject|
-|**{TRAINED_MODEL_NAME}** |The name of the trained model you want to export. You can find your trained models on your model evaluation tab under your project in the Language Studio portal|myTrainedModel
+|**{TRAINED_MODEL_NAME}** |The name of the trained model you want to export. You can find your trained models on your model evaluation tab under your project in the Language Studio portal|myTrainedModel|
 |**{EXPORTED_MODEL_NAME}** |The name to assign for the new exported model created.|myExportedModel |
 
 ```bash
@@ -74,8 +74,8 @@ The CLU container image can be found on the `mcr.microsoft.com` container regist
 
 The latest CLU container is available in several languages. To download the container for the English container, use the following command:
 
-```
-docker pull mcr.microsoft.com/azure-cognitive-services/language/clu:latest
+```bash
+  docker pull mcr.microsoft.com/azure-cognitive-services/language/clu:latest
 ```
 
 [!INCLUDE [Tip for using docker list](../../../includes/cognitive-services-containers-docker-list-tip.md)]
@@ -94,16 +94,18 @@ After the exported model is created, users have to run the container to download
 | **{PROJECT_NAME}**| Name of the project that the exported model belongs to  | myProject  |
 | **{EXPORTED_MODEL_NAME}**   | Exported model to be downloaded | myExportedModel   |
 
-```bash
-docker run --rm -it -p {LOCAL_CLU_PORT}:80 \
-mcr.microsoft.com/azure-cognitive-services/language/clu:{IMAGE_TAG} \ 
--v {LOCAL_MODEL_DIRECTORY}:/DeploymentPackage \
-Billing={ENDPOINT_URI} \ 
-ApiKey={API_KEY} \
-downloadmodel \
-projectName={PROJECT_NAME} \
-exportedModelName={EXPORTED_MODEL_NAME}
-```
+
+  
+  ```bash
+    docker run --rm -it -p {LOCAL_CLU_PORT}:80 \
+    mcr.microsoft.com/azure-cognitive-services/language/clu:{IMAGE_TAG} \ 
+    -v {LOCAL_MODEL_DIRECTORY}:/DeploymentPackage \
+    Billing={ENDPOINT_URI} \ 
+    ApiKey={API_KEY} \
+    downloadmodel \
+    projectName={PROJECT_NAME} \
+    exportedModelName={EXPORTED_MODEL_NAME}
+  ```
 
 DO NOT alter the downloaded files. Even altering the name or folder structure can affect the integrity of the container and might break it.
 

@@ -42,7 +42,7 @@ Once you test the service with your own data, you can use `entitySynonyms` to:
 ## Usage guidelines
 
 1. Synonyms must be restricted to phrases that directly refer to the type, and preserve semantic correctness. For example, for the entity type `InternationalBankAccountNumber`, a valid synonym could be "Financial Account Number" or *FAN*. But, the word *deposit* though may be associated with type, as it doesn't directly have a meaning of a bank account number and therefore shouldn't be used.
-1. Synonyms should be country agnostic. For example, *German passport* wouldn't be helpful to include.
+1. Synonyms should be country/region agnostic. For example, *German passport* wouldn't be helpful to include.
 1. Synonyms can't be reused for more than one entity type.
 1. This synonym recognition feature only accepts a subset of entity types supported by the service. The supported entity types and example synonyms include:
 

@@ -6,17 +6,35 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-language
 ms.topic: whats-new
-ms.date: 07/16/2025
+ms.date: 09/04/2025
 ms.author: lajanuar
 ---
 
 # What's new in Azure AI Language?
 
 Azure AI Language is updated on an ongoing basis. Bookmark this page to stay up to date with release notes, feature enhancements, and our newest documentation.
 
+## August 2025
+
+**Release of new PII and NER model (2025-08-01-preview)**. This new preview model version introduces broader functionality and expanded capabilities for personal information identification (PII) and named entity recognition (NER):
+
+* **Expanded language support for DateOfBirth entity**. The **DateOfBirth** entity, which initially supported English only, now includes Tier 1 language coverage. This expansion supports French, German, Italian, Spanish, Portuguese, Brazilian Portuguese, and Dutch, ensuring broader international applicability.
+
+* **Two new entity types added**:
+   * **SortCode**: A financial identifier used in the UK and Ireland to specify the bank and branch associated with an account.
+   * **LicensePlateNumber**: Support is now available for standard alphanumeric vehicle identification codes. At this time, license plates that consist exclusively of letters aren't supported.
+
+* **Improved AI accuracy in financial entity recognition**. The **2025-08-01-preview** model is further optimized to minimize both false positives and false negatives in financial entity recognition, resulting in greater accuracy and reliability.
+
+**New Python SDK release: azure-ai-language-conversations 2.0.0b1**. The latest Python SDK, **azure-ai-language-conversations 2.0.0b1**, is now available and supports the **2025-15-05-preview** REST API for conversation runtime.
+
+* **Conversational Language Understanding (CLU) inference** now allows for seamless integration with advanced large-scale language models, providing real-time recognition of user intent without the need for extra model training.
+* **Enhanced intent prediction capabilities** enable support for complex, multi-turn conversations. iThese advancements contribute to greater sophistication in conversational AI systems and, as a result, workflow automation processes are improved.
+
+
 ## July 2025
 
- **Expanded .NET SDK support for text and conversation authoring APIs**:
+ **Expanded .NET SDK support for text and conversation authoring APIs**. 
 
   * [**Azure.AI.Language.Text.Authoring `1.0.0-beta.2`**](https://www.nuget.org/packages/Azure.AI.Language.Text.Authoring/1.0.0-beta.2) now supports project import with raw JSON string for custom NER and custom text classification.