Over the last year, we have seen a surge of commercial and open-source foundation models showing strong reasoning abilities on general knowledge tasks. While general models are an important building block, production AI applications often employ Compound AI Systems, which leverage multiple components such as tuned models, retrieval, tool use, and reasoning agents. AI systems augment foundation models to drive much better quality and help customers confidently take these GenAI apps to production.
Today at the Data and AI Summit, we announced several new capabilities that make Databricks Mosaic AI the best platform for building production-quality AI systems. These features are based on our experience working with thousands of companies to put AI-powered applications into production. Today’s announcements include support for fine-tuning foundation models, an enterprise catalog for AI tools, a new SDK for building, deploying, and evaluating AI Agents, and a unified AI gateway for governing deployed AI services.
With this set of announcements, Databricks has entirely integrated and substantially expanded the model building capabilities first included as part of our MosaicML acquisition one year ago!
