Fine-tune models for task-specific agents in Microsoft 365 Copilot | BRK177
Skills:
Fine-tuning LLMs80%
Key Takeaways
Build task-specific declarative agents for Microsoft 365 Copilot using advanced recipes in Copilot Studio
Original Description
Join us for a deep dive into building task-specific declarative agents for Microsoft 365 Copilot using advanced recipes in Copilot Studio. This session will cover the entire process—from setup to deployment—highlighting key capabilities such as automated data ingestion and preparation, task selection (including document creation, summarization, and Q&A), training and evaluation, and governance controls.
To learn more, please check out these resources:
* https://aka.ms/build25/plan/CopilotforDevelopers
𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀:
* Ranveer Chandra
* Kalyan Ayloo
* Khushboo Aggarwal
𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻:
This is one of many sessions from the Microsoft Build 2025 event. View even more sessions on-demand and learn about Microsoft Build at https://build.microsoft.com
BRK177 | English (US) | AI, Copilot & Agents
#MSBuild
Chapters:
0:00 - Customer Case Studies and Conclusion
00:03:31 - Development and Implementation of Copilot Tuning
00:14:25 - Model Deployment to M365 Catalog
00:17:54 - Introduction to Task Specific Recipes
00:25:58 - Introduction to Expert Q&A Recipe
00:31:01 - Summarization Recipe Detailed with Use Cases
00:36:41 - Model Maker Process in Microsoft Copilot Studio
00:45:41 - Model Makers Submit Labeled Data
00:46:07 - Transition to Model Training and Evaluation
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Chapters (9)
Customer Case Studies and Conclusion
3:31
Development and Implementation of Copilot Tuning
14:25
Model Deployment to M365 Catalog
17:54
Introduction to Task Specific Recipes
25:58
Introduction to Expert Q&A Recipe
31:01
Summarization Recipe Detailed with Use Cases
36:41
Model Maker Process in Microsoft Copilot Studio
45:41
Model Makers Submit Labeled Data
46:07
Transition to Model Training and Evaluation
🎓
Tutor Explanation
DeepCamp AI