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 ...

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

First author Canyu Chen led a multi-institution research team in developing a scalable approach to training AI agents without sacrificing users’ data privacy.

Google Agent Skills address context bloat; skills load on demand from skill.md files with YAML front matter, reducing ...

MLB's offseason is winding down, spring training is underway and nearly all of the top free agents are off the table. The 2026 season is almost here. The top available free agent, Kyle Tucker, landed ...

VS Code's AI Toolkit and Microsoft Foundry can speed up agent development, but real-world success often depends on picking the right runtime and region, keeping tool-driven context under control, and ...