Databricks Inc. today announced a series of updates to its flagship artificial intelligence product, Agent Bricks, aimed at improving governance, accuracy and model flexibility for enterprise AI ...

Databricks’ Mosaic AI Research team has added a new framework, MemAlign, to MLflow, its managed machine learning and generative AI lifecycle development service. MemAlign is designed to help ...

Quality and cost are the main barriers keeping most agentic experiments from reaching production. Without high-quality evaluation, most teams are left to judge agents by gut checks, leading to ...

Agent Bricks uses technology developed by MosaicML’s research division to optimize the agent development process and help control the cost of running agents. Databricks has released a beta version of ...

As part of the Data + AI Summit, Databricks announced a number of new features, including the launch of Agent Bricks, an automated method for creating customized AI agents for companies, and the ...

Agent Bricks uses novel research techniques developed by Mosaic AI Research to automatically generate domain-specific synthetic data and task-aware benchmarks. Based on these benchmarks, it ...