CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society. (arXiv:2303.17760v2 [cs.AI] UPDATED)

The rapid advancement of chat-based language models has led to remarkable
progress in complex task-solving. However, their success heavily relies on
human input to guide the conversation, which can be challenging and
time-consuming. This paper explores the potential of building scalable
techniques to facilitate autonomous cooperation among communicative agents, and
provides insight into their "cognitive" processes. To address the challenges of
achieving autonomous cooperation, we propose a novel communicative agent
framework named role-playing. Our approach involves using inception prompting
to …

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