Refreshes what-is-foundry-local.md, other minor fixes across all refreshes

Author: jonburchel

articles/ai-foundry/foundry-local/concepts/foundry-local-architecture.md

@@ -11,6 +11,7 @@ ms.reviewer: samkemp
 author: jonburchel
 reviewer: samuel100
 ms.date: 10/01/2025
+ai-usage: ai-assisted
 ---
 
 # Foundry Local architecture

articles/ai-foundry/foundry-local/get-started.md

@@ -18,6 +18,7 @@ keywords:
   - cognitive
   - AI models
   - local inference
+ai-usage: ai-assisted
 # customer intent: As a developer, I want to get started with Foundry Local so that I can run AI models locally.
 ---
 

articles/ai-foundry/foundry-local/how-to/how-to-compile-hugging-face-models.md

@@ -301,7 +301,7 @@ After you finish using the custom model, reset the model cache to the default di
 foundry cache cd ./foundry/cache/models
 ```
 
-## Next steps
+## Related content
 
 - [Olive documentation](https://microsoft.github.io/Olive/)
 - [Integrate inferencing SDKs with Foundry Local](how-to-integrate-with-inference-sdks.md)

articles/ai-foundry/foundry-local/how-to/how-to-integrate-with-inference-sdks.md

@@ -12,6 +12,7 @@ ms.date: 10/01/2025
 zone_pivot_groups: foundry-local-sdk
 author: jonburchel
 reviewer: samuel100
+ai-usage: ai-assisted
 ---
 
 # Integrate inferencing SDKs with Foundry Local
@@ -37,7 +38,7 @@ Foundry Local integrates with inference SDKs such as OpenAI, Azure OpenAI, and L
 [!INCLUDE [Rust](../includes/integrate-examples/rust.md)]
 ::: zone-end
 
-## Next steps
+## Related content
 
 - [Compile Hugging Face models to run on Foundry Local](how-to-compile-hugging-face-models.md)
 - [Explore the Foundry Local CLI reference](../reference/reference-cli.md)

articles/ai-foundry/foundry-local/how-to/how-to-use-langchain-with-foundry-local.md

@@ -30,8 +30,7 @@ This tutorial shows you how to build a translation app with the Foundry Local SD
 [!INCLUDE [JavaScript](../includes/use-langchain/javascript.md)]
 ::: zone-end
 
-
-## Next steps
+## Related content
 
 - Explore the [LangChain documentation](https://python.langchain.com/docs/introduction) for advanced features.
 - [Compile Hugging Face models to run on Foundry Local](../how-to/how-to-compile-hugging-face-models.md)

articles/ai-foundry/foundry-local/reference/reference-cli.md

@@ -11,6 +11,7 @@ author: jonburchel
 reviewer: samuel100
 ms.topic: concept-article
 ms.date: 10/01/2025
+ai-usage: ai-assisted
 ---
 
 # Foundry Local CLI Reference

articles/ai-foundry/foundry-local/reference/reference-rest.md

@@ -11,6 +11,7 @@ author: jonburchel
 reviewer: samuel100
 ms.topic: concept-article
 ms.date: 10/01/2025
+ai-usage: ai-assisted
 ---
 
 # Foundry Local REST API Reference

articles/ai-foundry/foundry-local/reference/reference-sdk.md

@@ -12,6 +12,7 @@ ms.date: 10/01/2025
 zone_pivot_groups: foundry-local-sdk
 reviewer: maanavdalal
 ms.reviewer: maanavd
+ai-usage: ai-assisted
 ---
 
 # Foundry Local SDK reference

articles/ai-foundry/foundry-local/what-is-foundry-local.md

@@ -6,62 +6,63 @@ keywords: Azure AI services, cognitive
 ms.service: azure-ai-foundry
 ms.subservice: foundry-local
 ms.topic: overview
-ms.date: 07/03/2025
+ms.date: 10/01/2025
 ms.reviewer: samkemp
 ms.author: jburchel
 author: jonburchel
 reviewer: samuel100
 ms.custom: build-2025
+ai-usage: ai-assisted
 #customer intent: As a developer, I want to understand what Azure AI Foundry Local is so that I can use it to build AI applications.
 ---
 
 # What is Foundry Local?
 
 [!INCLUDE [foundry-local-preview](./includes/foundry-local-preview.md)]
 
-Foundry Local is an on-device AI inference solution offering performance, privacy, customization, and cost advantages. It integrates seamlessly into your existing workflows and applications through an intuitive CLI, SDK, and REST API.
+Foundry Local is an on-device AI inference solution that provides performance, privacy, customization, and cost benefits. It integrates with your workflows and applications through a CLI, SDK, and REST API.
 
 ## Key features
 
-- **On-Device Inference**: Run models locally on your own hardware, reducing your costs while keeping all your data on your device.
+- **On-Device inference**: Run models locally to reduce costs and keep data on your device.
 
-- **Model Customization**: Select from preset models or use your own to meet specific requirements and use cases.
+- **Model customization**: Select a preset model or use your own to meet specific needs.
 
-- **Cost Efficiency**: Eliminate recurring cloud service costs by using your existing hardware, making AI more accessible.
+- **Cost efficiency**: Use existing hardware to eliminate recurring cloud costs and make AI more accessible.
 
-- **Seamless Integration**: Connect with your applications through an SDK, API endpoints, or the CLI, with easy scaling to Azure AI Foundry as your needs grow.
+- **Seamless integration**: Integrate with your apps through the SDK, API endpoints, or CLI, and scale to Azure AI Foundry as your needs grow.
 
 ## Use cases
 
-Foundry Local is ideal for scenarios where:
+Foundry Local is ideal when you need to:
 
-- You want to keep sensitive data on your device.
-- You need to operate in environments with limited or no internet connectivity.
-- You want to reduce cloud inference costs.
-- You need low-latency AI responses for real-time applications.
-- You want to experiment with AI models before deploying to a cloud environment.
+- Keep sensitive data on your device
+- Operate in limited or offline environments
+- Reduce cloud inference costs
+- Get low latency AI responses for real-time applications
+- Experiment with AI models before you deploy to the cloud
 
-## Do I need an Azure subscription?
+## Do I need an Azure subscription
 
-No - Foundry Local doesn't require an Azure subscription. It runs on your local hardware, allowing you to use your existing infrastructure without the need for cloud services.
+No. Foundry Local runs on your hardware, letting you use your existing infrastructure without cloud services.
 
 ## Frequently asked questions
 
-### Do I need special drivers for NPU acceleration?
+### Do I need special drivers for NPU acceleration
 
-Yes, depending on your NPU hardware, you need to install the appropriate drivers:
+Install the driver for your NPU hardware:
 
-- **Intel NPU**: Install the [Intel NPU driver](https://www.intel.com/content/www/us/en/download/794734/intel-npu-driver-windows.html) to enable NPU acceleration on Windows.
+- Intel NPU: Install the [Intel NPU driver](https://www.intel.com/content/www/us/en/download/794734/intel-npu-driver-windows.html) to enable NPU acceleration on Windows.
 
-- **Qualcomm NPU**: Install the [Qualcomm NPU driver](https://softwarecenter.qualcomm.com/catalog/item/QHND) to enable NPU acceleration. If you encounter the error `Qnn error code 5005: "Failed to load from EpContext model. qnn_backend_manager."`, this typically indicates an outdated driver or NPU resource conflicts. Try rebooting to clear NPU resource conflicts, especially after using Windows Copilot+ features.
+- Qualcomm NPU: Install the [Qualcomm NPU driver](https://softwarecenter.qualcomm.com/catalog/item/QHND) to enable NPU acceleration. If you see the error `Qnn error code 5005: Failed to load from EpContext model. qnn_backend_manager.`, it likely indicates an outdated driver or an NPU resource conflict. Reboot to clear the conflict, especially after using Windows Copilot+ features.
 
-Foundry Local automatically detects and uses available NPU hardware once the proper drivers are installed.
+After you install the drivers, Foundry Local automatically detects and uses the NPU.
 
-## Getting started
+## Get started
 
-Install and run your first model by following the [Get started with Foundry Local](get-started.md) guide. This guide helps you set up Foundry Local, discover available models, and launch your first local AI model.
+Follow the [Get started with Foundry Local](get-started.md) guide to set up Foundry Local, discover models, and run your first local AI model.
 
-## Next steps
+## Related content
 
 - [Get started with Foundry Local](get-started.md)
-- [How to compile Hugging Face models to run on Foundry Local](how-to/how-to-compile-hugging-face-models.md)
+- [Compile Hugging Face models for Foundry Local](how-to/how-to-compile-hugging-face-models.md)

articles/ai-foundry/foundry-models/how-to/configure-deployment-policies.md

@@ -10,6 +10,7 @@ ms.author: jburchel
 author: jonburchel 
 ms.reviewer: aashishb
 reviewer: aashishb_microsoft
+ai-usage: ai-assisted
 ---
 
 # Control model deployment with custom policies