DEMOCRATIZING AI WITH MULTI-AGENT ARCHITECTURES

Multi-agent systems offer a compelling pathway to disrupt AI by sharing intelligence across numerous components. This model contrasts with traditional centralized AI, where a unified model interprets data. In multi-agent systems, decentralized agents interact to achieve common goals, leveraging the knowledge of the aggregate intelligence. This frag