Merge pull request #15 from eric-urban/eur/ai-services

Azure OpenAI terminology

articles/ai-services/includes/quickstarts/management-azportal.md

@@ -36,7 +36,7 @@ To create an Azure AI services resource follow these instructions:
     | **Subscription** | Select one of your available Azure subscriptions. |
     | **Resource group** | The Azure resource group that will contain your Azure AI services resource. You can create a new group or add it to a pre-existing group. |
     | **Region** | The location of your Azure AI service instance. Different locations may introduce latency, but have no impact on the runtime availability of your resource. |
-    | **Name** | A descriptive name for your Azure AI services resource. For example, *MyCognitiveServicesResource*. |
+    | **Name** | A descriptive name for your Azure AI services resource. For example, *MyAIServicesResource*. |
     | **Pricing tier** | The cost of your Azure AI services account depends on the options you choose and your usage. For more information, see the API [pricing details](https://azure.microsoft.com/pricing/details/cognitive-services/). |
 
     :::image type="content" source="../../media/cognitive-services-apis-create-account/resource_create_screen-multi.png" alt-text="Multi-service resource creation screen":::

articles/ai-services/what-are-ai-services.md

@@ -139,10 +139,10 @@ To understand privacy and data management, go to the [Trust Center](https://serv
 
 ## Help and support
 
-Azure AI services provide several support options to help you move forward with creating intelligent applications. Azure AI services also have a strong community of developers that can help answer your specific questions. For a full list of support options available to you, see [Azure AI services support and help options](cognitive-services-support-options.md ).
+Azure AI services provide several support options to help you move forward with creating intelligent applications. Azure AI services also have a strong community of developers that can help answer your specific questions. For a full list of support options available to you, see [Azure AI services support and help options](cognitive-services-support-options.md).
 
 ## Next steps
 
 * Learn how to [get started with Azure](https://azure.microsoft.com/get-started/)
-* [Try Azure AI services and more in Azure AI Studio?](../ai-studio/what-is-ai-studio.md)
+* [Try Azure AI services and more in Azure AI Studio](../ai-studio/what-is-ai-studio.md)
 * [Plan and manage costs for Azure AI services](plan-manage-costs.md)

articles/search/retrieval-augmented-generation-overview.md

@@ -232,7 +232,7 @@ A RAG solution that includes Azure AI Search can leverage [built-in data chunkin
 
   + ["Conversational Knowledge Mining" solution accelerator](https://github.com/microsoft/Customer-Service-Conversational-Insights-with-Azure-OpenAI-Services), helps you create an interactive solution to extract actionable insights from post-contact center transcripts.
 
-  + ["Build your own copilot" solution accelerator](https://github.com/microsoft/Build-your-own-copilot-Solution-Accelerator), leverages Azure Open AI Service, Azure AI Search and Microsoft Fabric, to create custom copilot solutions.
+  + ["Build your own copilot" solution accelerator](https://github.com/microsoft/Build-your-own-copilot-Solution-Accelerator), leverages Azure OpenAI Service, Azure AI Search and Microsoft Fabric, to create custom copilot solutions.
 
     + [Client Advisor](https://github.com/microsoft/Build-your-own-copilot-Solution-Accelerator/blob/main/ClientAdvisor/README.md) all-in-one custom copilot empowers Client Advisor to harness the power of generative AI across both structured and unstructured data. Help our customers to optimize daily tasks and foster better interactions with more clients
 

articles/search/search-get-started-vector.md

@@ -437,7 +437,7 @@ Authorization: Bearer {{token}}
 Key points:
 
 - Documents in the payload consist of fields defined in the index schema.
-- Vector fields contain floating point values. The dimensions attribute has a minimum of 2 and a maximum of 3,072 floating point values each. This quickstart sets the dimensions attribute to 1,536 because that's the size of embeddings generated by the Open AI's **text-embedding-ada-002** model.
+- Vector fields contain floating point values. The dimensions attribute has a minimum of 2 and a maximum of 3,072 floating point values each. This quickstart sets the dimensions attribute to 1,536 because that's the size of embeddings generated by the Azure OpenAI **text-embedding-ada-002** model.
 
 ## Run queries
 

articles/search/search-what-is-azure-search.md

@@ -97,7 +97,7 @@ Or, try solution accelerators:
 
 + [**Conversational Knowledge Mining** solution accelerator](https://github.com/microsoft/Customer-Service-Conversational-Insights-with-Azure-OpenAI-Services), helps you create an interactive solution to extract actionable insights from post-contact center transcripts.
 
-+ [**Build your own copilot** solution accelerator](https://github.com/microsoft/Build-your-own-copilot-Solution-Accelerator), leverages Azure Open AI Service, Azure AI Search and Microsoft Fabric, to create custom copilot solutions.
++ [**Build your own copilot** solution accelerator](https://github.com/microsoft/Build-your-own-copilot-Solution-Accelerator), leverages Azure OpenAI Service, Azure AI Search and Microsoft Fabric, to create custom copilot solutions.
 
   + [Client Advisor](https://github.com/microsoft/Build-your-own-copilot-Solution-Accelerator/blob/main/ClientAdvisor/README.md) all-in-one custom copilot empowers Client Advisor to harness the power of generative AI across both structured and unstructured data. Help our customers to optimize daily tasks and foster better interactions with more clients