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

As Microsoft announced, the Python Environments Extension for Visual Studio Code is generally available after a one-year preview phase. It is intended to make the workflow for managing Python ...

AT&T's chief data officer shares how rearchitecting around small language models and multi-agent stacks cut AI costs by 90% at 8 billion tokens a day.

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 ...

The evidence is solid but not definitive, as the conclusions rely on the absence of changes in spatial breadth and would benefit from clearer statistical justification and a more cautious ...

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.

Discover how quantitative analysts, or quants, use advanced mathematical models to predict market trends and identify lucrative investment opportunities.

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

You can avoid Google's AI summaries in your search results by simply adjusting your query. Or just switch search engines altogether.

Behind the AI interface, a staged system narrows tens of thousands of documents to a few, showing that visibility hinges on classic signals.