European AI and Cloud Summit 2026
05/05/2026, Confex - Koelncongress
Cologne, Germany
Fine Tuning Model Customization with Microsoft Foundry
fine-tuning
openai-models
microsoft-foundry
You are an AI developer building a multi-agent AI solution for your enterprise retail store. You want to deliver a solution that is accurate, cost-effective, and performant. How do you select and optimize your model choice to deliver on these requirements?
In this session, we put the spotlight on model customization. Learn what your options are, and why fine-tuning might be the right option for your scenario. Learn about the various fine-tuning options in Microsoft Foundry, with hands-on demos. Walk away with resources and insights that help you streamline your end-to-end model optimization journey with Microsoft Foundry.
Learning Outcomes
By the end of this session, you should be able to:
Describe what model customization is, and the different techniques involved
Describe why fine-tuning matters, how it works, and when it is most applicable
Describe the different fine-tuning options in Microsoft Foundry
Use the Distillation technique to optimize costs with comparable accuracy
Build and optimize your AI application seamlessly, with Microsoft Foundry
Technologies Used
Microsoft Foundry - the unified Azure platform-as-a-service for enterprise AI.
Azure OpenAI Service - provide API access to OpenAI models in Microsoft Foundry
Stored Completions & Distillation - fine-tuning to achieve model (size) compression
Reinforcement Fine-Tuning - fine-tuning reasoning models with rewards-based approach