AI Builder
This feature is in Beta.
This article describes what AI Builder is, how it works, and the use cases it supports.
What is AI Builder?
AI Builder provides a simple, no-code approach to build and optimize domain-specific, high-quality AI agent systems for common AI use cases. AI Builder streamlines the implementation of AI agent systems so that users can focus on the problem, data, and metrics instead.
AI Builder is a Databricks Designated Service, which means that it uses Databricks Geos to manage data residency when processing customer content.
How does AI Builder work?
AI Builder is powered by Mosaic AI to allow users to deploy comprehensive AI agent systems customized with their unique data quickly and easily.
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Specify your problem.
Specify your use case and point to your data.
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AI Builder automatically builds out the entire AI agent system for you.
AI Builder will automatically try various AI models, fine-tune them using your data, optimize the systems using innovative AI techniques, and evaluate them to offer you the best built-out systems.
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Further refine the system for continuous improvement.
When you use AI Builder, Databricks will run additional methods and hyperparameter sweeps in the background to continually optimize your model result. If our evaluations indicate a different model would achieve better results, Databricks will notify you without additional charge.
AI Builder is seamlessly integrated with the rest of the Databricks Data Intelligence Platform. This means you have everything you need to deploy AI solutions, from security and governance to data integration, vector databases, and quality evaluation. This is all available as a one-button optimized deployment.
Supported use cases
AI Builder currently supports the following use cases, with more coming soon:
AI Builder | Use case |
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Transform large volumes of unlabeled text documents into structured tables with extracted information |