Databricks Agent Bricks automates enterprise AI agent optimization and evaluation, eliminating manual processes that block production deployments.

Fine-tuned AI systems trained on company data can turn models into trusted teammates—and reshape how enterprises work, communicate and innovate.

Agent Bricks uses Mosaic AI's advanced methods to create domain-specific synthetic data and task-focused benchmarks.

Mosaic AI Model Training enables fine-tuning for foundation models, increasing model quality and decreasing cost Mosaic AI Model Training fine-tunes open source foundation models with an ...

For this, Databricks now offers the Mosaic AI Model Training service, which — you guessed it — allows its users to fine-tune models with their organization’s private data to help them ...

Databricks, the Data and AI company, today introduced Agent Bricks, a new, automated way to create high-performing AI ...

Learn more AI models perform only as well as the data used to train or fine-tune them. Labeled data has ... developers create A I apps rapidly. The Mosaic research team at Databricks developed ...

Vertical AI’s upcoming platform No-Code Studio will empower users from all backgrounds to fine-tune and integrate AI models. Artificial intelligence has not taken over the world —at least yet ...

Fine-tuning is a process that refines a pre-trained AI model, allowing it to produce more tailored outputs with just a small amount of additional training. Unlike the initial bulk training ...

Fine-tuning refers to a process of training a pre-trained AI model on a curated dataset to create a smaller new model, which is then capable of producing more specific kinds of outputs.