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Learn how to leverage Azure ML’s robust infrastructure to streamline the training process, optimize performance, and scale efficiently. We will cover best practices, real-world case studies, and advanced techniques to enhance your machine learning workflows. Whether you’re a data scientist, AI engineer, or AI enthusiast, this session will equip you with the knowledge and tools to harness the full potential of Azure Machine Learning for large-scale training.
To learn more, please check out these resources:
* https://aka.ms/build25/plan/BestModelGenAISolution
𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀:
* Chris Lauren
* Vijay Aski
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
BRK172 | English (US) | AI, Copilot & Agents
#MSBuild
Chapters:
0:00 – AI in Practice at Microsoft and Introduction to Dragon Copilot
00:13:37 – Fun Pre-Dinner Activities
00:14:49 – Model Customization and Deployment in Azure
00:18:10 – Deployment and Use of Trained Models
00:27:27 – Introduction of Reinforcement Fine-Tuning (RFT)
00:34:14 – Demonstration: Setting up Azure ML
00:35:39 – Exploration of Dataset Management and Model Training in Azure ML
00:38:20 – Introduction to Reward Functions and Configurations
00:45:33 – Review and Q&A Session Read More Microsoft Developer
