Update custom-and-declarative-copilot.md

updated

docs/custom-and-declarative-copilot.md

@@ -37,8 +37,7 @@ The decision to use a declarative or custom copilot hinges on several factors:
 |Use Copilot's orcestrator and model     |   Use custom orchestrator and model |
 |For scenarios, which require a high level of focus or specialization.| For scenarios demanding extensive customization and control over the AI’s behavior|
 |Developers who need to tailor Copilot for their scenarios can build Declarative copilots by simply declarating instructions in the app manifest. | Developers who need an advance customization for their Copilot experience can build Custom engine copilots by creating an AI chatbot.|
-|Create managed copilots with a guided low-code experience with  Copilot St.udio |   Create custom copilots with custom code and full control with pro-code using Azure AI studio or Visual Studio Code.  |
-|You can start in low-code with a managed stack with Copilot Studio where you can:<br> * Quickly and securely build a solution based on your unique instructions, knowledge, and actions. <br><br> * Control the orchestration Of your large language model to fit your specific workflows. <br><br> * Deploy your copilots across websites, messaging channels, Microsoft Teams and as copilot extensions to serve employees, customers, and partners.    |You can enhance your own copilot with Azure AI Studio to: <br><br> * Use prebuilt models or train models using your data. <br><br> * Build and manage your AI applications. <br><br> * Use tools for creating, refining, evaluating, and maintaining the building blocks of your copilot.        |
+|You can start with a managed stack with Copilot Studio where you can:<br> * Quickly and securely build a solution based on your unique instructions, knowledge, and actions. <br><br> * Control the orchestration Of your large language model to fit your specific workflows. <br><br> * Deploy your copilots across websites, messaging channels, Microsoft Teams and as copilot extensions to serve employees, customers, and partners.    |You can enhance your own copilot with Azure AI Studio to: <br><br> * Use prebuilt models or train models using your data. <br><br> * Build and manage your AI applications. <br><br> * Use tools for creating, refining, evaluating, and maintaining the building blocks of your copilot.        |
 |Can extend skills and knowledge by utilizing Graph Connectors and plugins | Can extend skills and knowledge by utilizing Retrieval-Augmented Generation (RAG) and custom functions.|
 
 Declarative and custom copilots serve as powerful extensions of the Microsoft 365 Copilot, each suited to different organizational needs and technical proficiencies. By carefully considering the criteria of complexity, customization, and development resources, developers can choose the right copilot to enhance their productivity and drive innovation within their workflows.