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.

Ten AI concepts to know in 2026, including LLM tokens, context windows, agents, RAG, and MCP, for building reliable AI apps.

The latest model comes with native computer use capabilities, allowing it to take on jobs across your device and applications ...

OpenAI's new GPT-5.4 clobbers humans on pro-level work in tests - by 83% ...

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.

A benchmark called OSWorld-Verified, designed to monitor AI's ability to navigate desktop environments, found that GPT 5.4 scored 75%, up from 47.3% with its GPT 5.2 model. That also beats the average ...