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

As customers try to “get artificial intelligence right,” the need to rationalize siloed data becomes increasingly important. Data practitioners could put all their data eggs into a single platform ...

Big-data analytics firm Databricks Inc. has emerged as an unlikely player in the generative artificial intelligence space, open-sourcing a new AI model that it claims is “as magical as ChatGPT,” ...

Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower ...

Open-source based large language models like Dolly are in high demand as enterprises want to use them for targeted or specific use cases, analysts said. Databricks has released an open-source based ...

Forbes contributors publish independent expert analyses and insights. I write about enterprise software technology and trends. Tell us a little bit about how Databricks is helping companies analyze ...

The San Francisco-based data analytics company Databricks has raised a stunning $10 billion funding round, which values the company at $62 billion and likely puts it on a path toward an IPO. The size ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

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 ...