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