Databricks built a RAG agent it says can handle every kind of enterprise search

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

Exclusive: Databricks launches ‘Genie Code’ to own the next frontier of vibe-coding

Databricks CEO and co-founder Ali Ghodsi believes that the gap represents the next frontier for AI automation. In his view, the next generation of AI agents won’t just write software, but operate the ...
Tech Times

The DIY Lakehouse Tax: Why Companies Spend $520K/Year Recreating What Already Exists

Building an open-source data lakehouse costs $520K/year in engineering time, before licenses and infra. The real all-in cost ...
How-To Geek on MSN

How I find and explore datasets from Kaggle using Python

Wondering where to find data for your Python data science projects? Find out why Kaggle is my go-to and how I explore data ...
Tom's Guide

I built a library of 'thinking prompts' for Claude — these are the ones I use most

AI I ran 7 real-world prompts on Gemini 3 and Claude Sonnet 4.6 — the results surprised me AI New to Gemini? Here are 7 prompts that instantly show what it can do AI ChatGPT-5.4 is OpenAI’s fastest ...
CNET

The AI Lie Detector: How to Spot Machine-Written Text Every Time

Rachel is a freelancer based in Echo Park, Los Angeles and has been writing and producing content for nearly two decades on subjects ranging from tech to fashion, health and lifestyle to entertainment ...
WinBuzzer

New Databricks KARL RAG Agent Promises 33% Cost Reduction vs. Claude Opus 4.6

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