The article discusses the rise of multi-agent AI systems as the next logical step in artificial intelligence adoption. These systems consist of multiple AI agents that operate autonomously yet collaborate to tackle complex challenges. Each agent is assigned specific tasks but maintains communication with others to share insights and adapt strategies, similar to a human marketing team. This collaborative framework allows for dynamic adaptation to changes, ultimately enhancing organizational efficiency and effectiveness in solving problems.
A multi-agent system (MAS) is a network of AI agents that operate on their own and collaborate to solve complex challenges.
Each agent in a MAS manages a specific task or area but communicates with other agents to decide on actions and adapt as needed.
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