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

Three federal immigration agents accidentally shot themselves in the leg during routine training exercises within two days last year, according to internal documents reviewed by Newsweek. A fourth ...

AI agents are already scanning Shopify stores, answering customer questions, and making product recommendations. If your knowledge base isn’t set up, they’re skipping your products and recommending ...

I’m not above doing some gig work to make ends meet. In my life, I’ve worked snack food pop-ups in a grocery store, ran the cash register for random merch booths, and even hawked my own plasma at $35 ...

This project is an academic intelligent agent developed based on LangChain Version 1.2, primarily designed to address the issues of hallucinations and data privacy in large language models. It ...

Abstract: The rapid development of Large Language Model (LLM) agents has facilitated the advancement of multi-agent systems, where cognitive knowledge sharing is crucial for the execution of complex ...

Forbes contributors publish independent expert analyses and insights. John Sviokla covers GenAI/AI's impact on commerce and society. This voice experience is generated by AI. Learn more. This voice ...

Chinese AI firm Zhipu AI and ride-hailing giant Didi have agreed to form a strategic partnership focused on AGI (Artificial General Intelligence) and agent-based applications for mobility, the ...

Car attacks on ICE officers have spiked — surging by some 3,200% over the past year, according to shocking data released Thursday by the Department of Homeland Security. Federal officials said violent ...

Abstract: Multiagent reinforcement learning (MARL) has garnered extensive research attention due to its strong learning capabilities, leading to its deployment in increasingly challenging scenarios.