Smaller, faster, smarter: Distilling models with fine‑tuning | DEM322

Why watch

This demo shows how to use Microsoft Foundry for model distillation and supervised fine-tuning to create smaller, faster, cheaper language models for production. It covers when distillation is appropriate, how it complements fine-tuning and RL, and includes real case studies from production teams deploying distilled models at scale. Ideal for ML engineers and production teams looking to optimize AI inference costs.