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.

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

On Monday, Databricks announced it reached a $5.4 billion revenue run rate, growing 65% year-over-year, of which more than $1.4 billion was from its AI products. Co-founder and CEO Ali Ghodsi wanted ...

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Microsoft's Copilot Tasks shifts AI from chat to action, silently handling everything from apartment hunting to canceling subscriptions while you focus on other things. The post Microsoft’s new ...

The compounding cycle of productivity—people, data and AI continuously improving one another—is already achievable for ...

Company plans to use funds to accelerate AI database, Genie assistant JPMorgan Chase leads $2 billion debt financing Databricks' AI products cross $1.4 billion in annualized revenue Feb 9 (Reuters) - ...

Conversational chatbots were the first chapter of AI. Today is the beginning of the second. We are excited to introduce ...

This practical guide explains how to design agentic workflows using a simple inputs, tasks and outputs framework, so any business leader can move from idea to execution.

You’ve forked over a small sum of money to your colleague who was gung ho to set up the office Super Bowl squares pool. Or in between scoops of buffalo chicken dip, you jotted your name down in a ...

As student interest in computing-related majors and the societal impact of artificial intelligence and chips continue to rise rapidly, Purdue has launched a new major initiative, Purdue Computes, ...