Collaborative AI System

Collaborative AI systems (CAIS) aim to enhance problem-solving by integrating multiple AI models and data sources through coordinated workflows, surpassing the capabilities of individual agents. Current research emphasizes frameworks that manage diverse AI agents, often leveraging large language models (LLMs), to achieve superior performance on complex tasks, particularly in software engineering and knowledge exploration. This field is crucial for advancing AI's practical applications and necessitates addressing challenges in system resilience, energy efficiency, and ethical considerations related to human-AI collaboration.