Today, multi-agent systems (MAS) have emerged as transformative technologies, driving innovation and efficiency across various industries. Comprising multiple autonomous agents working collaboratively ...

How event-driven design can overcome the challenges of coordinating multiple AI agents to create scalable and efficient reasoning systems. While large language models are useful for chatbots, Q&A ...

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 ...

Forbes contributors publish independent expert analyses and insights. Joanne Chen is a General Partner at Foundation Capital. May 24, 2024, 04:48pm EDT May 24, 2024, 05:05pm EDT I recently spoke with ...

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 ...

If you are interested in building AI Automation agents you already know that Artificial Intelligence (AI) is reshaping how tasks are automated, decisions are made, and systems interact with their ...

We're seeing AI evolve fast. It's no longer just about building a single, super-smart model. The real power, and the exciting frontier, lies in getting multiple specialized AI agents to work together.

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, ...