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Below are the high-level steps to setup copilot studio chatbot. These chatbots can be used publishing Channels like Telephony, Microsoft Teams, Demo website, Custom website, Mobile app, Facebook, Skype, Slack, Telegram, Twilio, Line, GroupMe, Direct Line Speech and email.

1. Sign Up and Access Copilot Studio:
   • Go to the Copilot Studio introduction website.
   • Sign in with your work email address (personal Microsoft accounts are currently not supported).
   • A default Power Platform environment will be created for you. Most users find this default environment sufficient, but you can specify a custom environment if needed.
2. Create a New Copilot:
   • On the Home page, select “Create” in the left navigation.
   • Choose to create a new copilot using either the conversational creation experience or the Configuration page.
   • For the conversational builder, answer the questions in plain language. Avoid single-word responses and use conversational style language.
3. Customize Your Copilot:
   • Add topics relevant to your chatbot.
   • Test content changes in real-time to refine your copilot.
   • Customize the icon that will be shown in the chat.
4. Deploy Your Copilot:
   • Once you’re satisfied, deploy your copilot to a test page.
   • You can analyze its performance and make further adjustments as needed.

Microsoft Copilot integrates large language models (LLMs) into Microsoft Office applications like Word, Excel, and Outlook to enhance productivity by providing advanced features and automation. Here’s how it works:

1. Natural Language Processing: Copilot uses LLMs to understand and generate human-like text based on user input. This allows it to assist with tasks such as drafting content, generating summaries, and providing writing suggestions.
2. Contextual Assistance: By analyzing the context of the document or spreadsheet, Copilot can offer relevant recommendations, such as improving document style, suggesting data insights, or automating repetitive tasks.
3. Data Analysis and Insights: In Excel, Copilot leverages LLMs to analyze complex data, generate formulas, and visualize trends. It helps users by providing intelligent suggestions for data manipulation and interpretation.
4. Email Management: In Outlook, Copilot helps with drafting, organizing, and responding to emails by generating appropriate text based on the content and context of the conversation.
5. Automation of Routine Tasks: Copilot automates routine tasks such as creating standard reports, generating meeting agendas, and formatting documents, saving users time and reducing manual effort.

Overall, Microsoft Copilot enhances productivity by integrating LLMs to provide intelligent, context-aware assistance within Microsoft Office applications.