ORCHESTRATING MULTI-AGENT AI FOR COMPLEX TASKS

Successfully executing multi-agent AI systems for complex problems necessitates a sophisticated orchestration strategy. Each agent within the system must interact effectively to attain a shared target. This demands careful architecture of the interaction framework, coupled with robust methods for decision-making. Challenges arise in fields such as