CAMEL Framework: The Revolutionary Multi-Agent AI System You Need to Know
Explore CAMEL, a novel multi-agent AI framework enhancing autonomous task completion and collaborative intelligence with Inception Prompts. Discover the future now!
In recent years, large language models have rapidly advanced, extending their abilities beyond text generation and understanding to complex analysis and reasoning. They have made significant progress in solving complex tasks.
However, these models largely rely on human input—prompts—which presents a significant challenge and cost for humans.
CAMEL, short for Communicative Agents for “Mind” Exploration of Large Scale Language Model Society, pioneers the exploration of communicative agents. It introduces a novel social multi-agent framework called “Role-Playing.”
In this framework, multiple agents collaborate through dialogue to complete assigned tasks. Each agent is given a role and corresponding expertise to find solutions for common tasks.
The framework uses Inception Prompts to guide the chat agents in task completion, aligning with human intent. Inception Prompts include three types: Task Specification, Assistant System, and User System. For instance, in the AI Society scenario, the initial prompts for AI Society role-playing templates are shown in Figure 1.