Democratizing AI with Multi-Agent Architectures
Multi-agent frameworks offer a compelling pathway to disrupt AI by sharing intelligence across numerous components. This paradigm contrasts with traditional centralized AI, where a unified model analyzes data. In multi-agent systems, decentralized agents interact to achieve common goals, harnessing the knowledge of the combined intelligence. This d