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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