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A survey on large language model based autonomous agents

A research paper discussing the potential of large language models in human-level intelligence for autonomous agents.

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A survey on large language model based autonomous agents

By Lei Wang, Chen Ma, Xueyang Feng
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The authors discuss the limitations of traditional autonomous agent training and explore the benefits of using large language models. They review recent research on LLM-based agents, highlighting their potential to achieve human-like decisions.

The paper concludes by identifying areas for future research.

Abstract

The authors discuss the limitations of traditional autonomous agent training and explore the benefits of using large language models. They review recent research on LLM-based agents, highlighting their potential to achieve human-like decisions. The paper concludes by identifying areas for future research.

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autonomous agentslarge language modelshuman-level intelligenceresearch surveyAI AgentsLarge Language ModelsAgent MemorySemantic Interoperability
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