Understanding Microsoft 365 Copilot, finally!

Table of Contents: Microsoft 365 Copilot and Copilot Studio 1. Copilot Overview: Beyond Marketing Hype 2. Copilot Studio: Designing Conversational Agents 3. Naming Confusion: "Copilots" Everywhere 4. Enhancing Functionality: Building Blocks 5. Connecting with Connectors 6. Feeding the Copilot: Data Sources 7. Data Limits: Custom vs. Standard Copilots 8. Permissions and Sharing: Access Control 9. Generative Responses: Thinking Outside Predefined Topics 10. Generative Sources: Internal and External Pools 11. Azure AI Studio: AI Model Training Tools 12. Prompt Flow: Orchestrating Large Language Models 13. Use Cases: HR and Customer Support Examples 14. RAG Explained: Semantic Search and Embeddings 15. Evaluation and Feedback: Chatbot Refinement Tools 16. Deployment and Triggers: Bringing Chatbots to Life 17. Limits of Copilot Studio: Current Capabilities and Constraints 18. Summary: Standard vs. Custom Copilots Trade-offs 19. Final Thoughts: The Future of AI and Our Role in It Presented to you by platformeconomies.com