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.

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

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

A 2025 study shows that an AI-based tutor improves learning when it prompts reasoning and is paired with peer discussion.

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Should you use AI for financial advice? Andrew Lo, a finance professor at the Massachusetts Institute of Technology’s Sloan School of Management, says not yet. Large language models like Copilot or ...

If there was an overriding message throughout the Super Bowl ads last night, it’s that artificial intelligence is your friend. Worried about reports of people turning to AI for love instead of other ...

Right now, many companies are worried about how to get more employees to use AI. After all, the promise of AI reducing the burden of some work—drafting routine documents, summarizing information, and ...

The viral social network for bots reveals more about our own current mania for AI as it does about the future of agents. For a few days this week the hottest new hangout on the internet was a ...

The Department of Education (DepEd) and Microsoft Philippines continue their collaboration to improve national literacy outcomes by strengthening foundational skills for students and supporting ...

NVIDIA releases step-by-step guide for building multimodal document processing pipelines with Nemotron RAG, targeting enterprise AI deployments requiring precise data extraction. NVIDIA has published ...

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