Merge pull request #4966 from laujan/aditi-4959-whats-new

Aditi 4959 whats new

Author: v-shils

articles/ai-foundry/concepts/models-featured.md

@@ -250,7 +250,7 @@ See [the Microsoft model collection in Azure AI Foundry portal](https://ai.azure
 
 Mistral AI offers two categories of models, namely: 
 
-- _Premium models_: These include Mistral Large, Mistral Small, Mistral-OCR-2503, and Ministral 3B models, and are available as serverless APIs with pay-as-you-go token-based billing.  
+- _Premium models_: These include Mistral Large, Mistral Small, Mistral-OCR-2503, Mistral Medium 3 (25.05), and Ministral 3B models, and are available as serverless APIs with pay-as-you-go token-based billing.  
 - _Open models_: These include Mistral-small-2503, Codestral, and Mistral Nemo (that are available as serverless APIs with pay-as-you-go token-based billing), and [Mixtral-8x7B-Instruct-v01, Mixtral-8x7B-v01, Mistral-7B-Instruct-v01, and Mistral-7B-v01](../how-to/deploy-models-mistral-open.md)(that are available to download and run on self-hosted managed endpoints).
 
 
@@ -262,6 +262,7 @@ Mistral AI offers two categories of models, namely:
 | [Mistral-Large-2411](https://ai.azure.com/explore/models/Mistral-Large-2411/version/2/registry/azureml-mistral) | [chat-completion](../model-inference/how-to/use-chat-completions.md?context=/azure/ai-foundry/context/context) |  - **Input:** text (128,000 tokens) <br /> - **Output:** text (4,096 tokens) <br /> - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON |
 | [Mistral-large-2407](https://ai.azure.com/explore/models/Mistral-large-2407/version/1/registry/azureml-mistral) <br /> (deprecated) | [chat-completion](../model-inference/how-to/use-chat-completions.md?context=/azure/ai-foundry/context/context) |  - **Input:** text (131,072 tokens) <br /> - **Output:** text (4,096 tokens) <br /> - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON  |
 | [Mistral-large](https://ai.azure.com/explore/models/Mistral-large/version/1/registry/azureml-mistral) <br /> (deprecated) | [chat-completion](../model-inference/how-to/use-chat-completions.md?context=/azure/ai-foundry/context/context) |  - **Input:** text (32,768 tokens) <br /> - **Output:** text (4,096 tokens) <br />  - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON |
+| [Mistral-medium-2505](https://aka.ms/aistudio/landing/mistral-medium-2505) | [chat-completion](../model-inference/how-to/use-chat-completions.md?context=/azure/ai-foundry/context/context) |  - **Input:** text (128,000 tokens), image <br /> - **Output:** text (128,000 tokens) <br />  - **Tool calling:** No <br /> - **Response formats:** Text, JSON |
 | [Mistral-OCR-2503](https://aka.ms/aistudio/landing/mistral-ocr-2503) | [image to text](../how-to/use-image-models.md) |  - **Input:** image or PDF pages (1,000 pages, max 50MB PDF file) <br> - **Output:** text <br /> - **Tool calling:** No <br /> - **Response formats:** Text, JSON, Markdown |
 | [Mistral-small-2503](https://aka.ms/aistudio/landing/mistral-small-2503) | [chat-completion (with images)](../model-inference/how-to/use-chat-multi-modal.md?context=/azure/ai-foundry/context/context) |  - **Input:** text and images (131,072 tokens), <br> image-based tokens are 16px x 16px <br> blocks of the original images <br /> - **Output:** text (4,096 tokens) <br /> - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON |
 | [Mistral-small](https://ai.azure.com/explore/models/Mistral-small/version/1/registry/azureml-mistral) | [chat-completion](../model-inference/how-to/use-chat-completions.md?context=/azure/ai-foundry/context/context) |  - **Input:** text (32,768 tokens) <br /> - **Output:** text (4,096 tokens) <br /> - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON |

articles/ai-foundry/includes/region-availability-maas.md

@@ -96,6 +96,7 @@ Codestral-2501    | [Microsoft Managed Countries/Regions](/partner-center/market
 Mistral OCR 25.03   | [Microsoft Managed Countries/Regions](/partner-center/marketplace/tax-details-marketplace#microsoft-managed-countriesregions)   <br> Brazil <br> Hong Kong SAR <br> Israel      | East US <br> East US 2 <br> North Central US <br> South Central US <br> Sweden Central <br> West US <br> West US 3           |  Not available       |
 Mistral Nemo  | [Microsoft Managed Countries/Regions](/partner-center/marketplace/tax-details-marketplace#microsoft-managed-countriesregions)  <br> Brazil <br> Hong Kong SAR <br> Israel     | East US <br> East US 2 <br> North Central US <br> South Central US <br> Sweden Central <br> West US <br> West US 3          | East US 2 <br> East US <br> North Central US <br> South Central US <br> West US <br> West US 3    |
 Mistral Small 25.03 <br> Mistral Small    | [Microsoft Managed Countries/Regions](/partner-center/marketplace/tax-details-marketplace#microsoft-managed-countriesregions)   <br> Brazil <br> Hong Kong SAR <br> Israel      | East US <br> East US 2 <br> North Central US <br> South Central US <br> Sweden Central <br> West US <br> West US 3           |  Not available       |
+Mistral Medium 3 (25.05)    | [Microsoft Managed Countries/Regions](/partner-center/marketplace/tax-details-marketplace#microsoft-managed-countriesregions)   <br> Brazil <br> Hong Kong SAR <br> Israel      | East US <br> East US 2 <br> North Central US <br> South Central US <br> Sweden Central <br> West US <br> West US 3           |  Not available       |
 Ministral-3B | [Microsoft Managed Countries/Regions](/partner-center/marketplace/tax-details-marketplace#microsoft-managed-countriesregions)  <br> Brazil <br> Hong Kong SAR<br> Israel    | East US <br> East US 2 <br> North Central US <br> South Central US <br> Sweden Central <br> West US <br> West US 3           | East US 2 <br> East US <br> North Central US <br> South Central US <br> West US <br> West US 3       |
 Mistral Large (2407) <br> Mistral-Large    | [Microsoft Managed Countries/Regions](/partner-center/marketplace/tax-details-marketplace#microsoft-managed-countriesregions)  <br> Brazil <br> Hong Kong SAR<br> Israel    | East US <br> East US 2 <br> North Central US <br> South Central US <br> Sweden Central <br> West US <br> West US 3           | Not available       |
 Mistral-Large (2411)  | [Microsoft Managed Countries/Regions](/partner-center/marketplace/tax-details-marketplace#microsoft-managed-countriesregions)  <br> Brazil <br> Hong Kong SAR<br> Israel    | East US <br> East US 2 <br> North Central US <br> South Central US <br> Sweden Central <br> West US <br> West US 3           | East US 2 <br> East US <br> North Central US <br> South Central US <br> West US <br> West US 3       |

articles/ai-services/content-understanding/whats-new.md

@@ -14,22 +14,23 @@ ms.custom:
 
 # What's new in Azure AI Content Understanding?
 
-The Azure AI Content Understanding service is continuously updated. Bookmark this page to stay informed about the latest features and samples.
+Azure AI Content Understanding service is updated on an ongoing basis. Bookmark this page to stay up to date with release notes, feature enhancements, and our newest documentation.
 
 ## May 2025
 The Azure AI Content Understanding **`2025-05-01-preview`** REST API is now available. This update introduces the following updates and enhanced capabilities:
 
-* **Modes for documents**: With the **`2025-05-01-preview`** release, we introduce two modes: `standard` and `pro`. The `pro` mode, currently exclusive to the document analyzer, enables advanced capabilities. Content Understanding now supports reasoning across multiple documents as input for external knowledge, empowering users to derive agentic inferences directly from reference documents.
+* **Modes for documents**: With the **`2025-05-01-preview`** release, we introduce two modes: `standard` and `pro`. Content Understanding pro mode adds reasoning, support for multiple input documents, the ability to configure an external knowledge base for linking and validation. These features enable agentic processes for automating complex tasks requiring human effort. The `pro` mode is currently limited to the document analyzer, enables reasoning capabilities that can infer complicated outputs given multiple reference documents (for example, insurance policy documents) and multiple input documents (for example, forms and supporting documents that are case-specific)
 
 * **Document modality improvements** :
 
-  * Support for cross table extraction spanning multiple pages.
-  * Selection mark support for checkmark and radio buttons as unicode characters.
-  * Confidence score improvements.
-  * Support for embedded figures in Markdown as base64 string format.
+  * Improvements in content extraction:
+      * Support for table spanning multiple pages getting extracted as a single logical table. 
+      * Selection mark support for checkmark and radio buttons as unicode characters.
+      * Bar code extraction as part of the default content extraction along with `OCR`.
+      * Support for embedded figures in Markdown as base64 string format output.
+  * Confidence score improvements with better grounding results for extractive fields. 
   * New file format support extended for following document types `.rtf`,`.txt`,`.xml`,`.json`, `.msg`,`.eml`,`.csv`, and `.xlsx`.
-  * Bar code extraction as part of the default content extraction along with `OCR`.
-  * Classification API for documents only. This API supports classifying and splitting documents with optional routing to analyzers.
+  * Classification API for documents only. This API supports classifying and splitting a single file containing multiple documents  with optional routing to field extraction analyzers.
 
 * **Video Modality improvements**:
 
@@ -43,10 +44,12 @@ The Azure AI Content Understanding **`2025-05-01-preview`** REST API is now avai
 * **Face API preview**: Detection, recognition, and enrollment of faces.
 
 * **Billing Changes**: New simpler pricing model that lowers costs from the **2024-12-01-preview** REST API across all modalities.
+  
+* **User experience improvements**: To improve latency issues, the UX experience is refreshed with ease-of-use and quick try-out experience as part of [Azure AI Foundry](https://aka.ms/cu-landing)
 
 ## April 2025
 
-The Azure AI Content Understanding **2024-12-01-preview** REST API is now available. This update for preview API introduces the following updates and enhanced capabilities:
+**2024-12-01-preview** REST API introduces the following updates and enhanced capabilities:
 
 * **General improvements**. For all modality, to request an increase from current limits, contact us at `[email protected]`.
 * **Prebuilt invoice template**. The invoice template is now customizable. Once you select the invoice template, you can access a predefined list of fields that can be tailored to your specific needs by adding or removing fields.

articles/machine-learning/concept-models-featured.md

@@ -254,7 +254,7 @@ See [the Microsoft model collection in the Azure AI model catalog](https://ai.az
 
 Mistral AI offers two categories of models, namely: 
 
-- _Premium models_: These include Mistral Large, Mistral Small, Mistral-OCR-2503, and Ministral 3B models, and are available as serverless APIs with pay-as-you-go token-based billing.  
+- _Premium models_: These include Mistral Large, Mistral Small, Mistral-OCR-2503, Mistral Medium 3 (25.05), and Ministral 3B models, and are available as serverless APIs with pay-as-you-go token-based billing.  
 - _Open models_: These include Mistral-small-2503, Codestral, and Mistral Nemo (that are available as serverless APIs with pay-as-you-go token-based billing), and [Mixtral-8x7B-Instruct-v01, Mixtral-8x7B-v01, Mistral-7B-Instruct-v01, and Mistral-7B-v01](../ai-foundry/how-to/deploy-models-mistral-open.md?context=/azure/machine-learning/context/context)(that are available to download and run on self-hosted managed endpoints).
 
 
@@ -266,6 +266,7 @@ Mistral AI offers two categories of models, namely:
 | [Mistral-Large-2411](https://ai.azure.com/explore/models/Mistral-Large-2411/version/2/registry/azureml-mistral) | [chat-completion](../ai-foundry/model-inference/how-to/use-chat-completions.md?context=/azure/machine-learning/context/context) |  - **Input:** text (128,000 tokens) <br /> - **Output:** text (4,096 tokens) <br /> - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON |
 | [Mistral-large-2407](https://ai.azure.com/explore/models/Mistral-large-2407/version/1/registry/azureml-mistral) <br /> (deprecated) | [chat-completion](../ai-foundry/model-inference/how-to/use-chat-completions.md?context=/azure/machine-learning/context/context) |  - **Input:** text (131,072 tokens) <br /> - **Output:** text (4,096 tokens) <br /> - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON  |
 | [Mistral-large](https://ai.azure.com/explore/models/Mistral-large/version/1/registry/azureml-mistral) <br /> (deprecated) | [chat-completion](../ai-foundry/model-inference/how-to/use-chat-completions.md?context=/azure/machine-learning/context/context) |  - **Input:** text (32,768 tokens) <br /> - **Output:** text (4,096 tokens) <br />  - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON |
+| [Mistral-medium-2505](https://aka.ms/aistudio/landing/mistral-medium-2505) | [chat-completion](../ai-foundry/model-inference/how-to/use-chat-completions.md?context=/azure/machine-learning/context/context) |  - **Input:** text (128,000 tokens), image <br /> - **Output:** text (128,000 tokens) <br />  - **Tool calling:** No <br /> - **Response formats:** Text, JSON |
 | [Mistral-OCR-2503](https://aka.ms/aistudio/landing/mistral-ocr-2503) | [image to text](../ai-foundry/how-to/use-image-models.md?context=/azure/machine-learning/context/context) |  - **Input:** image or PDF pages (1,000 pages, max 50MB PDF file) <br> - **Output:** text <br /> - **Tool calling:** No <br /> - **Response formats:** Text, JSON, Markdown |
 | [Mistral-small-2503](https://aka.ms/aistudio/landing/mistral-small-2503) | [chat-completion (with images)](../ai-foundry/model-inference/how-to/use-chat-multi-modal.md?context=/azure/machine-learning/context/context) |  - **Input:** text and images (131,072 tokens), <br> image-based tokens are 16px x 16px <br> blocks of the original images <br /> - **Output:** text (4,096 tokens) <br /> - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON |
 | [Mistral-small](https://ai.azure.com/explore/models/Mistral-small/version/1/registry/azureml-mistral) | [chat-completion](../ai-foundry/model-inference/how-to/use-chat-completions.md?context=/azure/machine-learning/context/context) |  - **Input:** text (32,768 tokens) <br /> - **Output:** text (4,096 tokens) <br /> - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON |