Update llm-tool.md and concept-connections.md to include Serverless Connection

docs/concepts/concept-connections.md

@@ -15,6 +15,7 @@ Prompt flow provides a variety of pre-built connections, including Azure Open AI
 | [Open AI](https://openai.com/)                               | LLM or Python                   |
 | [Cognitive Search](https://azure.microsoft.com/en-us/products/search) | Vector DB Lookup or Python      |
 | [Serp](https://serpapi.com/)                                 | Serp API or Python              |
+| [Serverless](https://learn.microsoft.com/en-us/azure/ai-studio/concepts/deployments-overview#deploy-models-with-model-as-a-service)                                               | LLM or Python                   |
 | Custom                                                       | Python                          |
 
 By leveraging connections in prompt flow, you can easily establish and manage connections to external APIs and data sources, facilitating efficient data exchange and interaction within their AI applications.

docs/reference/tools-reference/llm-tool.md

@@ -1,7 +1,7 @@
 # LLM 
 
 ## Introduction
-Prompt flow LLM tool enables you to leverage widely used large language models like [OpenAI](https://platform.openai.com/) or [Azure OpenAI (AOAI)](https://learn.microsoft.com/en-us/azure/cognitive-services/openai/overview) for natural language processing. 
+Prompt flow LLM tool enables you to leverage widely used large language models like [OpenAI](https://platform.openai.com/), [Azure OpenAI (AOAI)](https://learn.microsoft.com/en-us/azure/cognitive-services/openai/overview), and models in [Azure AI Studio model catalog](https://learn.microsoft.com/en-us/azure/ai-studio/how-to/model-catalog) for natural language processing. 
 > [!NOTE]
 > The previous version of the LLM tool is now being deprecated. Please upgrade to latest [promptflow-tools](https://pypi.org/project/promptflow-tools/) package to consume new llm tools.
 
@@ -11,7 +11,7 @@ Prompt flow provides a few different LLM APIs:
 
 
 ## Prerequisite
-Create OpenAI or Azure OpenAI resources:
+Create OpenAI resources, Azure OpenAI resources or MaaS deployment with the LLM models (e.g.: llama2, mistral, cohere etc.) in Azure AI Studio model catalog:
 
 - **OpenAI**
 
@@ -23,14 +23,21 @@ Create OpenAI or Azure OpenAI resources:
 
     Create Azure OpenAI resources with [instruction](https://learn.microsoft.com/en-us/azure/cognitive-services/openai/how-to/create-resource?pivots=web-portal)
 
+- **MaaS deployment**
+
+    Create MaaS deployment for models in Azure AI Studio model catalog with [instruction](https://learn.microsoft.com/en-us/azure/ai-studio/concepts/deployments-overview#deploy-models-with-model-as-a-service)
+
+    You can create serverless connection to use this MaaS deployment.
+
 ## **Connections**
 
 Setup connections to provisioned resources in prompt flow.
 
-| Type        | Name     | API KEY  | API Type | API Version |
-|-------------|----------|----------|----------|-------------|
-| OpenAI      | Required | Required | -        | -           |
-| AzureOpenAI | Required | Required | Required | Required    |
+| Type        | Name     | API KEY  | API BASE |  API Type | API Version |
+|-------------|----------|----------|----------|-----------|-------------|
+| OpenAI      | Required | Required | -        | -         | -           |
+| AzureOpenAI | Required | Required | Required | Required  | Required    |
+| Serverless  | Required | Required | Required | -         | -           |
 
 
 ## Inputs