Class Introduction
The meeting focused on practical applications of Microsoft Copilot within Outlook and Teams. Team explained the concept of a Specific Language Model (SLM) and demonstrated how to use the Copilot notebook feature to create a grounded AI agent with custom instructions and references, using a project management prompt from Ahmed as a live example. The discussion covered how to break down complex prompts into smaller, sequential tasks to avoid AI hallucinations and improve output quality. Team then demonstrated Copilot in Outlook, showing how to use semantic search to retrieve emails by context, summarize long email threads, schedule recurring prompts for daily summaries, and personalize email drafts based on past communication style. The session also covered Copilot's ability to prioritize the inbox and manage calendar events through custom instructions. Finally, Team showcased Copilot in Microsoft Teams, highlighting its ability to generate meeting recaps, capture screenshots of shared content, and provide behavioral analysis of participants.
Microsoft Copilot SLM Implementation Discussion
The team discussed Microsoft Copilot and its functionality, particularly focusing on creating specific language models (SLMs) for business purposes. Dinesh explained the difference between basic LLM users and more advanced users who can design instructions and AI frameworks. Ahmed shared his project prompt for implementing a ticketing system at MADA, and the team walked through the process of creating a notebook in Microsoft Copilot to refine this prompt into a specific language model. Dinesh emphasized the importance of creating disciplined, skilled, and knowledgeable SLMs tailored to specific business goals rather than relying on generic LLM responses.
Related Offerings
Effective LLM Prompt Strategies
The team discussed how to effectively use LLM prompts by breaking down complex tasks into smaller, specific prompts rather than combining multiple requests into one. They demonstrated this approach by creating a focused prompt for a project charter for the Mahada ticketing system, with the team leader explaining that using separate prompts helps avoid token limits and hallucination issues. The meeting was paused for prayer at 2:55 PM with plans to resume at 3:05 PM.
Outlook Copilot Business Opportunities
The team discussed Microsoft Outlook and Microsoft Teams capabilities, focusing on AI-powered search features in Outlook. Hany demonstrated how to use Copilot in Outlook for semantic email search, showing examples of retrieving training program inquiries and B2B engagement opportunities. He explained the ability to schedule prompts and share chats with team members, highlighting specific business opportunities including Power BI training programs with various clients like Hamad bin Khalifa University and Vinci Energies. The discussion covered risk management aspects, including pending ICV certification and outstanding invoices from government organizations.
Microsoft Copilot Features Discussion
The team discussed Microsoft Copilot capabilities in Outlook and Teams, focusing on email management, summarization, and meeting insights. Dinesh demonstrated how Copilot can prioritize emails, draft responses, manage calendars, and provide meeting recaps with screenshots and behavioral analysis. The group explored features like personalization, calendar instructions, and content compliance, with Ibrahim and Ahmed raising questions about auditing and data management. Dinesh emphasized the importance of digital transformation and content creation using AI-generated meeting notes, and the team agreed to continue using Zoom for the next session while considering a future migration to Teams.
Learn how to use Microsoft Copilot to manage emails, summarise conversations, organise meetings, and create business-focused AI assistants. Explore practical applications of Copilot Notebooks, custom instructions, semantic search, and meeting intelligence.
