Update TRANSPARENCY_FAQ.md

Author: Roopan-Microsoft

TRANSPARENCY_FAQ.md

@@ -1,14 +1,14 @@
 ## Build your own copilot Solution Accelerator: Responsible AI FAQ
 - ### What is Build your own copilot Solution Accelerator?
 
-  This solution accelerator is an open-source GitHub Repository to help create copilots using Azure Open AI Service, Azure AI Search, and Microsoft Fabric. This can be used by anyone looking for reusable architecture and code snippets to build copilots with their own enterprise data. The repository showcases sample scenarios for research assistant and client advisor custom copilots.
+  This solution accelerator is an open-source GitHub Repository to help create copilots using Azure OpenAI Service, Azure AI Search, and Microsoft Fabric. This can be used by anyone looking for reusable architecture and code snippets to build copilots with their own enterprise data. The repository showcases sample scenarios for research assistant and client advisor custom copilots.
 
 - ### What can Build your own copilot Solution Accelerator do? 
   The sample solution for research assistant focuses on a researcher who wants to explore relevant articles and grants to accelerate submission of a grant proposal. The sample data is sourced from a select set of research and grants published on PubMed and NIH. The documents are intended for use as sample data only. The sample solution takes user input in text format and returns LLM responses in text format up to 800 tokens.
-  It uses prompt flow to search data from AI search vector store, summarize the retrieved documents with Azure Open AI.
+  It uses prompt flow to search data from AI search vector store, summarize the retrieved documents with Azure OpenAI.
 
   The sample solution for client advisor focuses on an advisor to save time and prepare relevant discussion topics for scheduled meetings. It provides an overview of daily client meetings with seamless navigation between viewing client profiles and chatting with data. The sample data is synthetic and is generated using ficticious names. This data intended for use as sample data only. The sample solution takes user input in text format and returns LLM responses in text format up to 800 tokens.
-  It uses semantic kernel to search data from AI search vector store and Azure SQL Database, summarize the results using Azure Open AI.
+  It uses semantic kernel to search data from AI search vector store and Azure SQL Database, summarize the results using Azure OpenAI.
 
 - ### What is/are Build your own copilot Solution Accelerator’s intended use(s)?