Databricks unveiled new large language model and GPU optimization capabilities in Model Serving in a move designed to enable customers to improve generative AI outcomes. Databricks launched Model ...

Today Databricks announced new retrieval augmented generation (RAG) tooling for its Data Intelligence Platform to help customers build, deploy and maintain high-quality large language model (LLM) apps ...

Databricks on Tuesday launched Model Serving, a tool that enables users to deploy machine learning models as REST APIs on the vendor's lakehouse platform and eliminates the need to manage a serving ...

AI systems need more than pass/fail tests. Here’s how QE now spans data validation, model robustness, LLM evals, regression ...

Data analytics company Databricks says its mission is to deliver data intelligence to every enterprise by allowing organizations to understand and use their unique data to build their own AI systems.

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 ...

New offering brings governed Lakehouse architecture, Unity Catalog governance, and AI/MLOps delivery to organizations ...

Snowflake and Databricks are surely similar companies. While each positions itself a bit differently, both provide data storage, processing and governance in a cloud context. Both are holding customer ...