At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

For much of the last two years, multi-agent systems have been treated as the natural next step in artificial intelligence. If one large language model can reason, plan, and act, then several working ...

The landscape of artificial intelligence is undergoing a significant transformation. As the capabilities of large language models grow, we are beginning to see a shift away from isolated ...

Multi-Agent Reinforcement Learning (MARL) is an emerging subfield of artificial intelligence that investigates how multiple autonomous agents can learn collaboratively and competitively within an ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. Multi-agent AI is rapidly gaining traction, and one big ...

The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at lower cost has created a flood of information, and not all of it is clean. It ...

OpenAI’s Agent SDK is a comprehensive tool designed to assist the creation of intelligent, multi-agent systems powered by large language models (LLMs). It provides a robust framework for seamless ...

How do you balance risk management and safety with innovation in agentic systems — and how do you grapple with core considerations around data and model selection? In this VB Transform session, Milind ...

When I first started working with multi-agent collaboration (MAC) systems, they felt like something out of science fiction. It’s a group of autonomous digital entities that negotiate, share context, ...

In mission-critical environments—think disaster response, financial systems, or supply chain logistics—success hinges on the seamless collaboration of multiple agents, whether they’re humans, machines ...