Democratizing AI with Multi-Agent Architectures
Multi-agent frameworks offer a compelling pathway to disrupt AI by delegating intelligence across numerous components. This approach contrasts with traditional centralized AI, where a unified model analyzes data. In multi-agent systems, decentralized agents collaborate to achieve common goals, exploiting the insights of the combined intelligence. T