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

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.

Having long ago seen the handwriting on the wall for the journalism profession with the debut of GenAI, I decided to just cut to the chase and build my replacement now.

Microsoft has announced that the Microsoft Agent Framework has reached Release Candidate status for both .NET and Python. This milestone indicates that the API surface is stable and feature-complete ...

Two tools that have recently landed, taken together, define what the next phase of AI agent competition looks like. On February 25, Anthropic released Remote Control for Claude Code — a feature that ...

What if artificial intelligence could collaborate like a team of expert developers, each specializing in different aspects of a project? Below, Cole Medin breaks down how Claude Code’s new “Agent ...

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

Qwen3.5 comes in an open-weight and hosted API version, with the company advertising improvements in performance and costs from previous versions. Qwen3.5 supports new agentic capabilities and is ...

Find your next quality investment with Simply Wall St's easy and powerful screener, trusted by over 7 million individual investors worldwide. Investors are questioning whether new AI-powered ...