What if your multi-agent system could communicate faster, use fewer resources, and still maintain seamless functionality? That’s the promise of handoffs in OpenAI’s Agents SDK—a feature that’s ...

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 ...

What if you could design a system where multiple specialized agents work together seamlessly, each tackling a specific task with precision and efficiency? This isn’t just a futuristic vision—it’s the ...

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 ...

Microsoft recently introduced a system called “Critic,” where AI agents review each other’s work. For example, if drafting an investigative report, Agent A researches and writes the content, Agent B ...

I recently spoke with Chi Wang, a principal researcher at Microsoft and the creator of AutoGen, about the immense potential of multi-agent AI. Agents have been a cornerstone of human-computer ...

As AI-assisted coding becomes more common, a new pattern is emerging: multi-agent workflows. A multi-agent workflow refers to using various AI agents in parallel for specific software development life ...

Microsoft researchers this week unveiled a new multi-agent AI system, aimed to help enterprises automate complex tasks typically requiring human intervention. Named Magnetic-One, the open source ...

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, ...