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.

Forbes contributors publish independent expert analyses and insights. Victor Dey is an analyst and writer covering AI and emerging tech. This voice experience is generated by AI. Learn more. This ...

In mid-December 2025, an image (archived) circulated online purportedly showing U.S. President Donald Trump using a walker as a mobility aid. Keith Edwards, a Democratic political strategist, posted ...

Standards and guidelines for development co-operation with concrete examples of their implementation ...

Data intelligence company Databricks is reportedly already in talks to raise fresh capital, just a few months after its last fundraise. Databricks is holding conversations to raise a funding round ...

Nov 17 (Reuters) - Data analytics firm Databricks is in talks to raise funds at a valuation of more than $130 billion, about 30% higher than its last financing round two months ago, The Information ...

Abstract: The recent Open Radio Access Network (O-RAN) specifications promote the evolution of RAN architecture by function disaggregation, adoption of open interfaces, and instantiation of a ...

In this tutorial, we build an advanced computer-use agent from scratch that can reason, plan, and perform virtual actions using a local open-weight model. We create a miniature simulated desktop, ...

More college students are using AI chatbots to help them with their studies. But data recently released by an AI company shows they're aren't the only ones using the technology. College students are ...

Google Colab, also known as Colaboratory, is a free online tool from Google that lets you write and run Python code directly in your browser. It works like Jupyter Notebook but without the hassle of ...