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

Agent skills shift AI agents toward procedural tasks with skill.md steps; progressive disclosure reduces context window bloat in real use.

While previous embedding models were largely restricted to text, this new model natively integrates text, images, video, audio, and documents into a single numerical space — reducing latency by as muc ...

It's perfect for privacy-conscious folks looking to break away from ChatGPT ...

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

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

The Justice Department’s Jan. 30 release of documents related to Jeffrey Epstein shows new ties with the world’s most powerful people, including information about his relationship to Richard Branson, ...

Teradata Enterprise Vector Store unifies structured and unstructured data with agentic capabilities across hybrid environments, enabling rapid deployment of production-ready AI systems 10 — Teradata ...