Democratizing AI with Multi-Agent Architectures

Multi-agent frameworks offer a compelling pathway to empower AI by sharing intelligence across numerous components. This approach contrasts with traditional centralized AI, where a unified model processes data. In multi-agent systems, autonomous agents interact to achieve common goals, harnessing the knowledge of the total intelligence. This distri

read more