Optimizing Phi and Small Language Models Performance Through Customization

Learn how to fine-tune and customize Phi and Small Language Models (SLMs) in this 48-minute Microsoft Ignite conference session presented by Martin Cai, Gina Lee, and Sameer Sharma. Explore techniques for optimizing these compact yet powerful language models for specific use cases, taking advantage of their smaller size to achieve enhanced performance. Discover practical approaches to customization that can elevate AI projects while maintaining efficiency. Gain insights into harnessing the full potential of these models through targeted modifications and task-specific adjustments, with access to additional resources for continued learning and implementation.