AI evaluation quickstart (#45055)

Author: gewarren

.openpublishing.redirection.ai.json

@@ -1,8 +1,8 @@
 {
     "redirections": [
         {
-            "source_path_from_root": "/docs/ai/quickstarts/get-started-azure-openai.md",
-            "redirect_url": "/dotnet/ai/quickstarts/get-started-openai"
+            "source_path_from_root": "/docs/ai/how-to/app-service-db-auth.md",
+            "redirect_url": "/dotnet/ai"
         },
         {
             "source_path_from_root": "/docs/ai/how-to/use-redis-for-memory.md",
@@ -13,8 +13,36 @@
             "redirect_url": "/dotnet/ai"
         },
         {
-            "source_path_from_root": "/docs/ai/how-to/app-service-db-auth.md",
-            "redirect_url": "/dotnet/ai"
+            "source_path_from_root": "/docs/ai/quickstarts/get-started-azure-openai.md",
+            "redirect_url": "/dotnet/ai/quickstarts/build-chat-app"
+        },
+        {
+            "source_path_from_root": "/docs/ai/quickstarts/get-started-openai.md",
+            "redirect_url": "/dotnet/ai/quickstarts/build-chat-app"
+        },
+        {
+            "source_path_from_root": "/docs/ai/quickstarts/quickstart-ai-chat-with-data.md",
+            "redirect_url": "/dotnet/ai/quickstarts/build-vector-search-app"
+        },
+        {
+            "source_path_from_root": "/docs/ai/quickstarts/quickstart-assistants.md",
+            "redirect_url": "/dotnet/ai/quickstarts/create-assistant"
+        },
+        {
+            "source_path_from_root": "/docs/ai/quickstarts/quickstart-azure-openai-tool.md",
+            "redirect_url": "/dotnet/ai/quickstarts/use-function-calling"
+        },
+        {
+            "source_path_from_root": "/docs/ai/quickstarts/quickstart-local-ai.md",
+            "redirect_url": "/dotnet/ai/quickstarts/chat-local-model"
+        },
+        {
+            "source_path_from_root": "/docs/ai/quickstarts/quickstart-openai-generate-images.md",
+            "redirect_url": "/dotnet/ai/quickstarts/generate-images"
+        },
+        {
+            "source_path_from_root": "/docs/ai/quickstarts/quickstart-openai-summarize-text.md",
+            "redirect_url": "/dotnet/ai/quickstarts/prompt-model"
         }
     ]
-}
+}

docs/ai/ai-extensions.md

@@ -99,5 +99,5 @@ For an end-to-end sample using `Microsoft.Extensions.AI`, see [eShopSupport](htt
 
 ## Next steps
 
-- [Build an AI chat app with .NET](./quickstarts/get-started-openai.md)
-- [Quickstart - Summarize text using Azure AI chat app with .NET](./quickstarts/quickstart-openai-summarize-text.md)
+- [Build an AI chat app with .NET](/dotnet/ai/quickstarts/build-chat-app)
+- [Quickstart - Summarize text using Azure AI chat app with .NET](/dotnet/ai/quickstarts/prompt-model)

docs/ai/dotnet-ai-ecosystem.md

@@ -63,7 +63,7 @@ Azure offers many other AI services to build specific application capabilities a
 
 .NET apps can also connect to local AI models for many different development scenarios. [Semantic Kernel](https://github.com/microsoft/semantic-kernel) is the recommended tool to connect to local models using .NET. Semantic Kernel can connect to many different models hosted across a variety of platforms and abstracts away lower-level implementation details.
 
-For example, you can use [Ollama](https://ollama.com/) to [connect to local AI models with .NET](quickstarts/quickstart-local-ai.md), including several small language models (SLMs) developed by Microsoft:
+For example, you can use [Ollama](https://ollama.com/) to [connect to local AI models with .NET](/dotnet/ai/quickstarts/chat-local-model), including several small language models (SLMs) developed by Microsoft:
 
 | Model               | Description                                               |
 |---------------------|-----------------------------------------------------------|
@@ -84,7 +84,7 @@ This article summarized the tools and SDKs in the .NET ecosystem, with a focus o
 ## Next steps
 
 - [What is Semantic Kernel?](/semantic-kernel/overview/)
-- [Quickstart - Summarize text using Azure AI chat app with .NET](./quickstarts/quickstart-openai-summarize-text.md)
+- [Quickstart - Summarize text using Azure AI chat app with .NET](/dotnet/ai/quickstarts/prompt-model)
 
 [phi3]: https://azure.microsoft.com/products/phi-3
 [orca]: https://www.microsoft.com/research/project/orca/

docs/ai/get-started/dotnet-ai-overview.md

@@ -36,16 +36,16 @@ We recommend the following sequence of tutorials and articles for an introductio
 
 | Scenario | Tutorial |
 |----------|----------|
-| Create a chat application | [Build an Azure AI chat app with .NET](../quickstarts/get-started-openai.md)|
-| Summarize text | [Summarize text using Azure AI chat app with .NET](../quickstarts/quickstart-openai-summarize-text.md) |
-| Chat with your data     | [Get insight about your data from an .NET Azure AI chat app](../quickstarts/quickstart-ai-chat-with-data.md) |
-| Call .NET functions with AI | [Extend Azure AI using tools and execute a local function with .NET](../quickstarts/quickstart-azure-openai-tool.md) |
-| Generate images | [Generate images using Azure AI with .NET](../quickstarts/quickstart-openai-generate-images.md) |
+| Create a chat application | [Build an Azure AI chat app with .NET](/dotnet/ai/quickstarts/build-chat-app)|
+| Summarize text | [Summarize text using Azure AI chat app with .NET](/dotnet/ai/quickstarts/prompt-model) |
+| Chat with your data     | [Get insight about your data from an .NET Azure AI chat app](/dotnet/ai/quickstarts/build-vector-search-app) |
+| Call .NET functions with AI | [Extend Azure AI using tools and execute a local function with .NET](/dotnet/ai/quickstarts/use-function-calling) |
+| Generate images | [Generate images using Azure AI with .NET](/dotnet/ai/quickstarts/generate-images) |
 | Train your own model |[ML.NET tutorial](https://dotnet.microsoft.com/learn/ml-dotnet/get-started-tutorial/intro) |
 
 Browse the table of contents to learn more about the core concepts, starting with [How generative AI and LLMs work](../conceptual/how-genai-and-llms-work.md).
 
 ## Next steps
 
-- [Quickstart: Build an Azure AI chat app with .NET](../quickstarts/get-started-openai.md)
+- [Quickstart: Build an Azure AI chat app with .NET](/dotnet/ai/quickstarts/build-chat-app)
 - [Video series: Machine Learning and AI with .NET](/shows/machine-learning-and-ai-with-dotnet-for-beginners)

docs/ai/how-to/content-filtering.md

@@ -49,4 +49,4 @@ The response was filtered due to the prompt triggering Azure OpenAI's content ma
 
 * [Create and assign a content filter](/azure/ai-services/openai/how-to/content-filters)
 * [Content Filtering concepts](/azure/ai-services/openai/concepts/content-filter)
-* [Create a chat app](../quickstarts/quickstart-openai-summarize-text.md)
+* [Create a chat app](/dotnet/ai/quickstarts/prompt-model)

docs/ai/index.yml

@@ -49,6 +49,8 @@ landingContent:
             url: conceptual/vector-databases.md
           - text: Prompt engineering
             url: conceptual/prompt-engineering-dotnet.md
+          - text: Evaluation libraries
+            url: conceptual/evaluation-libraries.md
 
   # Card (Optional; Remove if not applicable.)
   - title: Common tasks

docs/ai/quickstarts/get-started-openai.md renamed to docs/ai/quickstarts/build-chat-app.md

@@ -153,5 +153,5 @@ azd down
 
 ## Next steps
 
-- [Quickstart - Chat with a local AI model](quickstart-local-ai.md)
-- [Generate images using AI with .NET](quickstart-openai-generate-images.md)
+- [Quickstart - Chat with a local AI model](/dotnet/ai/quickstarts/chat-local-model)
+- [Generate images using AI with .NET](/dotnet/ai/quickstarts/generate-images)

docs/ai/quickstarts/quickstart-ai-chat-with-data.md renamed to docs/ai/quickstarts/build-vector-search-app.md

@@ -205,5 +205,5 @@ azd down
 
 ## Next steps
 
-- [Quickstart - Chat with a local AI model](quickstart-local-ai.md)
-- [Generate images using AI with .NET](quickstart-openai-generate-images.md)
+- [Quickstart - Chat with a local AI model](/dotnet/ai/quickstarts/chat-local-model)
+- [Generate images using AI with .NET](/dotnet/ai/quickstarts/generate-images)

docs/ai/quickstarts/quickstart-local-ai.md renamed to docs/ai/quickstarts/chat-local-model.md

@@ -20,7 +20,7 @@ In this quickstart, you learn how to create a conversational .NET console chat a
 
 ## Run the local AI model
 
-Complete the following steps to configure and run a local AI Model on your device. Many different AI models are available to run locally and are trained for different tasks, such as generating code, analyzing images, generative chat, or creating embeddings. For this quickstart, you'll use the general purpose `phi3:mini` model, which is a small but capable generative AI created by Microsoft.
+Complete the following steps to configure and run a local AI model on your device. Many different AI models are available to run locally and are trained for different tasks, such as generating code, analyzing images, generative chat, or creating embeddings. For this quickstart, you'll use the general purpose `phi3:mini` model, which is a small but capable generative AI created by Microsoft.
 
 1. Open a terminal window and verify that Ollama is available on your device:
 
@@ -54,7 +54,7 @@ Complete the following steps to configure and run a local AI Model on your devic
 
 ## Create the .NET app
 
-Complete the following steps to create a .NET console app that will connect to your local `phi3:mini` AI model:
+Complete the following steps to create a .NET console app that connects to your local `phi3:mini` AI model.
 
 1. In a terminal window, navigate to an empty directory on your device and create a new app with the `dotnet new` command: