add azd template doc

Author: eric-urban

articles/ai-studio/how-to/develop/ai-template-get-started.md

@@ -18,7 +18,7 @@ author: eric-urban
 Streamline your code-first development with prebuilt, task-specific Azure AI templates. Benefit from using the latest features and best practices from Microsoft Azure AI, with popular frameworks like LangChain, prompt flow, and Semantic Kernel in multiple languages.
 
 > [!TIP]
-> Discover the latest templates in our curated [AZD templates collection](https://aka.ms/azd-ai-templates). Deploy them with a single command ```azd up``` using the [Azure Developer CLI](../../../developer/azure-developer-cli/azd-templates?tabs=csharp). 
+> Discover the latest templates in our curated [AZD templates collection](https://aka.ms/azd-ai-templates). Deploy them with a single command ```azd up``` using the [Azure Developer CLI](/developer/azure-developer-cli/azd-templates). 
 
 ## Start with a sample application
 
@@ -28,24 +28,24 @@ Start with our sample applications! Choose the right template for your needs, th
 
 | Template      | App host | Tech stack | Description |
 | ----------- | ----------| ----------- | ------------|
-| [Contoso Chat Retail copilot with Azure AI Studio](https://github.com/Azure-Samples/contoso-chat) | [Azure AI Studio online endpoints](../../../machine-learning/concept-endpoints-online?view=azureml-api-2) | [Azure Cosmos DB](../../../cosmos-db/), [Azure Managed Identity](/entra/identity/managed-identities-azure-resources/overview), [Azure OpenAI Service](../../../ai-services/openai/overview), [Azure AI Search](../../../search/search-what-is-azure-search), Bicep  | A retailer conversation agent that can answer questions grounded in your product catalog and customer order history. This template uses a retrieval augmented generation architecture with cutting-edge models for chat completion, chat evaluation, and embeddings. Build, evaluate, and deploy, an end-to-end solution with a single command. | 
-| [Process Automation: Speech to text and summarization with Azure AI Studio](https://github.com/Azure-Samples/summarization-openai-python-prompflow) | [Azure AI Studio online endpoints](../../../machine-learning/concept-endpoints-online?view=azureml-api-2) | [Azure Managed Identity](/entra/identity/managed-identities-azure-resources/overview), [Azure OpenAI Service](../../../ai-services/openai/overview), [Azure AI speech to text service](../../../ai-services/speech-service/index-speech-to-text), Bicep  | An app for workers to report issues via text or speech, translating audio to text, summarizing it, and specify the relevant department. | 
-| [Multi-Modal Creative Writing copilot with Dalle](https://github.com/Azure-Samples/agent-openai-python-prompty) | [Azure AI Studio online endpoints](../../../machine-learning/concept-endpoints-online?view=azureml-api-2) | [Azure AI Search](../../../search/search-what-is-azure-search), [Azure OpenAI Service](../../../ai-services/openai/overview), Bicep | demonstrates how to create and work with AI agents. The app takes a topic and instruction input and then calls a research agent, writer agent, and editor agent. |  
-| [Assistant API Analytics Copilot with Python and Azure AI Studio](https://github.com/Azure-Samples/assistant-data-openai-python-promptflow) | [Azure AI Studio online endpoints](../../../machine-learning/concept-endpoints-online?view=azureml-api-2) |  [Azure Managed Identity](/entra/identity/managed-identities-azure-resources/overview), [Azure AI Search](../../../search/search-what-is-azure-search), [Azure OpenAI Service](../../../ai-services/openai/overview), Bicep| A data analytics chatbot based on the Assistants API. The chatbot can answer questions in natural language, and interpret them as queries on an example sales dataset. |
-| [Function Calling with Prompty, LangChain, and Pinecone](https://github.com/Azure-Samples/agent-openai-python-prompty-langchain-pinecone) | [Azure AI Studio online endpoints](../../../machine-learning/concept-endpoints-online?view=azureml-api-2) | [Azure Managed Identity](/entra/identity/managed-identities-azure-resources/overview), [Azure OpenAI Service](../../../ai-services/openai/overview), [LangChain](https://python.langchain.com/v0.1/docs/get_started/introduction), [Pinecone](https://www.pinecone.io/), Bicep  | utilize the new Prompty tool, LangChain, and Pinecone to build a large language model (LLM) search agent. This agent with Retrieval-Augmented Generation (RAG) technology is capable of answering user questions based on the provided data by integrating real-time information retrieval with generative responses. | 
-| [Function Calling with Prompty, LangChain, and Elastic Search](https://github.com/Azure-Samples/agent-python-openai-prompty-langchain) | [Azure AI Studio online endpoints](../../../machine-learning/concept-endpoints-online?view=azureml-api-2) | [Azure Managed Identity](/entra/identity/managed-identities-azure-resources/overview), [Azure OpenAI Service](../../../ai-services/openai/overview), [Elastic Search](https://www.elastic.co/elasticsearch), [LangChain](https://python.langchain.com/v0.1/docs/get_started/introduction) , Bicep  | utilize the new Prompty tool, LangChain, and Elasticsearch to build a large language model (LLM) search agent. This agent with Retrieval-Augmented Generation (RAG) technology is capable of answering user questions based on the provided data by integrating real-time information retrieval with generative responses |
+| [Contoso Chat Retail copilot with Azure AI Studio](https://github.com/Azure-Samples/contoso-chat) | [Azure AI Studio online endpoints](../../../machine-learning/concept-endpoints-online.md) | [Azure Cosmos DB](../../../cosmos-db/), [Azure Managed Identity](/entra/identity/managed-identities-azure-resources/overview), [Azure OpenAI Service](../../../ai-services/openai/overview), [Azure AI Search](../../../search/search-what-is-azure-search.md), Bicep  | A retailer conversation agent that can answer questions grounded in your product catalog and customer order history. This template uses a retrieval augmented generation architecture with cutting-edge models for chat completion, chat evaluation, and embeddings. Build, evaluate, and deploy, an end-to-end solution with a single command. | 
+| [Process Automation: speech to text and summarization with Azure AI Studio](https://github.com/Azure-Samples/summarization-openai-python-prompflow) | [Azure AI Studio online endpoints](../../../machine-learning/concept-endpoints-online.md) | [Azure Managed Identity](/entra/identity/managed-identities-azure-resources/overview), [Azure OpenAI Service](../../../ai-services/openai/overview.md), [Azure AI speech to text service](../../../ai-services/speech-service/index-speech-to-text.yml), Bicep  | An app for workers to report issues via text or speech, translating audio to text, summarizing it, and specify the relevant department. | 
+| [Multi-Modal Creative Writing copilot with Dalle](https://github.com/Azure-Samples/agent-openai-python-prompty) | [Azure AI Studio online endpoints](../../../machine-learning/concept-endpoints-online.md) | [Azure AI Search](../../../search/search-what-is-azure-search), [Azure OpenAI Service](../../../ai-services/openai/overview.md), Bicep | demonstrates how to create and work with AI agents. The app takes a topic and instruction input and then calls a research agent, writer agent, and editor agent. |  
+| [Assistant API Analytics Copilot with Python and Azure AI Studio](https://github.com/Azure-Samples/assistant-data-openai-python-promptflow) | [Azure AI Studio online endpoints](../../../machine-learning/concept-endpoints-online.md) |  [Azure Managed Identity](/entra/identity/managed-identities-azure-resources/overview), [Azure AI Search](../../../search/search-what-is-azure-search.md), [Azure OpenAI Service](../../../ai-services/openai/overview), Bicep| A data analytics chatbot based on the Assistants API. The chatbot can answer questions in natural language, and interpret them as queries on an example sales dataset. |
+| [Function Calling with Prompty, LangChain, and Pinecone](https://github.com/Azure-Samples/agent-openai-python-prompty-langchain-pinecone) | [Azure AI Studio online endpoints](../../../machine-learning/concept-endpoints-online.md) | [Azure Managed Identity](/entra/identity/managed-identities-azure-resources/overview), [Azure OpenAI Service](../../../ai-services/openai/overview.md), [LangChain](https://python.langchain.com/v0.1/docs/get_started/introduction), [Pinecone](https://www.pinecone.io/), Bicep  | Utilize the new Prompty tool, LangChain, and Pinecone to build a large language model (LLM) search agent. This agent with Retrieval-Augmented Generation (RAG) technology is capable of answering user questions based on the provided data by integrating real-time information retrieval with generative responses. | 
+| [Function Calling with Prompty, LangChain, and Elastic Search](https://github.com/Azure-Samples/agent-python-openai-prompty-langchain) | [Azure AI Studio online endpoints](../../../machine-learning/concept-endpoints-online.md) | [Azure Managed Identity](/entra/identity/managed-identities-azure-resources/overview), [Azure OpenAI Service](../../../ai-services/openai/overview.md), [Elastic Search](https://www.elastic.co/elasticsearch), [LangChain](https://python.langchain.com/v0.1/docs/get_started/introduction) , Bicep  | Utilize the new Prompty tool, LangChain, and Elasticsearch to build a large language model (LLM) search agent. This agent with Retrieval-Augmented Generation (RAG) technology is capable of answering user questions based on the provided data by integrating real-time information retrieval with generative responses |
 
 ### [C#](#tab/csharp)
 
 | Template      | App host | Tech stack | Description |
 | ----------- | ----------| ----------- | -------------- |
-| [Contoso Chat Retail copilot with .NET and Semantic Kernel](https://github.com/Azure-Samples/contoso-chat-csharp-prompty) | [Azure Container Apps](../../../container-apps/overview) | [Azure Cosmos DB](../../../cosmos-db/), [Azure Monitor](../../../azure-monitor/overview), [Azure Managed Identity](/entra/identity/managed-identities-azure-resources/overview), [Azure Container Apps](../../../container-apps/overview), [Azure AI Search](../../../search/search-what-is-azure-search), [Azure OpenAI Services](../../../ai-services/openai/overview), [Semantic Kernel](/semantic-kernel/overview/?tabs=Csharp), Bicep | A retailer conversation agent that can answer questions grounded in your product catalog and customer order history. This template uses a retrieval augmented generation architecture with cutting-edge models for chat completion, chat evaluation, and embeddings. Build, evaluate, and deploy, an end-to-end solution with a single command. |
-| [Process Automation: Speech to text and Summarization with .NET and GPT 3.5 Turbo](https://github.com/Azure-Samples/summarization-openai-csharp-prompty) | [Azure Container Apps](../../../container-apps/overview) | [Azure Managed Identity](/entra/identity/managed-identities-azure-resources/overview), [Azure OpenAI Service](../../../ai-services/openai/overview), [Azure AI Speech to Text Service](../../../ai-services/speech-service/index-speech-to-text), Bicep | An app for workers to report issues via text or speech, translating audio to text, summarizing it, and specify the relevant department. |
+| [Contoso Chat Retail copilot with .NET and Semantic Kernel](https://github.com/Azure-Samples/contoso-chat-csharp-prompty) | [Azure Container Apps](../../../container-apps/overview.md) | [Azure Cosmos DB](../../../cosmos-db/), [Azure Monitor](../../../azure-monitor/overview), [Azure Managed Identity](/entra/identity/managed-identities-azure-resources/overview), [Azure Container Apps](../../../container-apps/overview), [Azure AI Search](../../../search/search-what-is-azure-search), [Azure OpenAI Services](../../../ai-services/openai/overview), [Semantic Kernel](/semantic-kernel/overview/?tabs=Csharp), Bicep | A retailer conversation agent that can answer questions grounded in your product catalog and customer order history. This template uses a retrieval augmented generation architecture with cutting-edge models for chat completion, chat evaluation, and embeddings. Build, evaluate, and deploy, an end-to-end solution with a single command. |
+| [Process Automation: speech to text and summarization with .NET and GPT 3.5 Turbo](https://github.com/Azure-Samples/summarization-openai-csharp-prompty) | [Azure Container Apps](../../../container-apps/overview) | [Azure Managed Identity](/entra/identity/managed-identities-azure-resources/overview), [Azure OpenAI Service](../../../ai-services/openai/overview), [Azure AI speech to text Service](../../../ai-services/speech-service/index-speech-to-text.yml), Bicep | An app for workers to report issues via text or speech, translating audio to text, summarizing it, and specify the relevant department. |
 
 ---
 
-For the most up-to-date list of Azure AI templates you can visit our curated list in the following [collection](https://aka.ms/azd-ai-templates). 
 
+## Related content
 
 - [Get started building a chat app using the prompt flow SDK](../../quickstarts/get-started-code.md)
 - [Work with projects in VS Code](vscode.md)