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

It might come as a shock to some that many open source projects have a "benevolent dictator for life" governance model.

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Over the past few weeks, I’ve received hundreds of messages from professionals across the Caribbean asking the same question: ...

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

A clear understanding of the fundamentals of ML improves the quality of explanations in interviews.Practical knowledge of Python libraries can be ...

Chris Maddison was just an intern when he started working on the Go-playing AI that would eventually become AlphaGo. A decade ...

Cove Street Capital analyzes the AI market mania and shifting software valuations. Read the full analysis for more details.

AI is reshaping online search in ways that reduce friction for consumers while increasing it for businesses. Large language ...

Enterprises seeking to make good on the promise of agentic AI will need a platform for building, wrangling, and monitoring AI agents in purposeful workflows. In this quickly evolving space, myriad ...

Microsoft engineers are working on Project Catapult, utilizing field-programmable arrays (FPGAs) that Microsoft can modify specifically for use on its own software such as Bing. This allows for faster ...

The NGI Zero Commons Fund provides grants to people who help build the digital commons. Because all projects are free and ...