Public Preview: Announcing Foundation Model Training

With Foundation Model Training, Azure Databricks users can use their own data to customize a foundation model to optimize performance for their specific application.

By fine-tuning or continuing training of a foundation model, organizations can train their own model using significantly less data, time, and compute resources versus training a model from scratch.

Azure Databricks users have everything in a single platform: their own data to use for training, the foundation model to train, checkpoints saved to MLflow, and the model registered in Unity Catalog ready to deploy.

Learn more.