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.

Test-time Adaptive Optimization can be used to increase the efficiency of inexpensive models, such as Llama, the company said. Data lakehouse provider Databricks has unveiled a new large language ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

Databricks Inc. and OpenAI announced today that they have formed a multi-year partnership expected to generate more than $100 million in revenue. It makes OpenAI’s latest models, including GPT-5, ...

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 ...

Databricks, the Data and AI company, is introducing DBRX, a general-purpose large language model (LLM) that enables organizations around the world to cost-effectively build, train, and serve their own ...

Using the right model and the right prompt is only part of the enterprise AI challenge, it's also critical to optimize the prompt. The breakthrough in prompt optimization arrives alongside Databricks' ...

The rapid evolution of large language models (LLMs), retrieval-augmented generation (RAG), and Model Protocol Context (MCP) implementation has led many developers and teams to quickly adopt and ...