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