Multi-agent systems are composed of multiple interacting intelligent agents, each with specialized capabilities and goals. For example, one could develop a system with separate agents focused on summarization, translation, content generation, etc. The agents can then work together, sharing information and dividing tasks in a customizable way.

The AI workforce is a team of diverse AI agents equipped with AI tools. These agents work collaboratively in a multi-agent systems to solve complex tasks.

An AI agent is a type of software that can perceive its environment, reason about goals, and take actions to achieve those goals with a degree of independence. AI agents leverage various techniques like machine learning, natural language processing, knowledge representation, automated planning, and more to function effectively.