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November 05, 2024

Understanding Microsoft 365 Copilot, finally!

8 minutes

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

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By Mohammed Brückner