Smaller, faster, smarter: Distilling models with fine‑tuning | DEM322
Model distillation Fine Tuning Microsoft foundry Small language models AI optimization Production machine learning Model compression Cost optimization ML deployment Student model training
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.