<ul><li>Former Google CEO Eric Schmidt believes that the AI revolution is 'underhyped' and sees potential in AI agents working together in multi-agent architectures to solve complex problems.</li><li>Multi-agent AI architecture involves multiple AI agents collaborating to achieve shared goals by utilizing each agent's specialized skills or roles.</li><li>Benefits of multi-agent systems include modularity, specialization, and control over agent communication, but there are also downsides to consider.</li><li>Common types of multi-agent architectures include coordination, collaboration, coalition, delegation, and negotiation, offering product teams various approaches to leveraging AI agents.</li></ul>

Multi Agent Architecture explained - a simple guide for product teams

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