Mastering model customization: fine-tuning Azure OpenAI service models with Weights & Biases

As businesses increasingly seek AI models tailored to their unique needs, fine-tuning LLMs has become a powerful customization strategy—enhancing accuracy, efficiency, and domain relevance. This process includes key steps like hyperparameter tuning, model evaluation, and performance monitoring for optimal results. Watch this webinar discussion to learn how fine-tuning can unlock new AI capabilities for your team. Timestamps 0:00 Introduction 1:20 Webinar agenda 2:14 What is fine-tuning? 6:05 The fine-tuning toolbox 11:20 GenAI journey 15:50 Rag or fine-tuning? or both? 18:53: Fine-tuning benefits 23:42 Fine-tuning industry use cases 28:03 Microsoft cloud for Healthcare 30:43 Chris Van Pelt talks supported AI workflow with Weights & Biases 33:03 Weights & Biases integration 33:50 Demo: How Weights & Biases and Azure AI Foundry work together 51:43 What are agents? 52:06 How fine-tuning and agents come together 53:20 Get started with Azure AI Foundry & W&B today