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.

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

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.

昨今の LLM 利用の普及に伴い同時に注目度の高くなっている RAG (Retrieval-Augmented Generation)。本リポジトリーはその1手法である Knowledge Graph を利用した Microsoft GraphRAG (version 3.0.1) を動作させてみ ...

Jarvis V2 is a sophisticated desktop AI assistant that brings the power of voice-controlled computing to your fingertips. Inspired by Tony Stark's JARVIS from the Marvel Cinematic Universe, this ...

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 ...

For a long time, the deal for a wide range of careers has been simple enough. Entry-level workers carried out routine tasks in return for mentorship, skill development and a clear path towards ...

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 ...