基于大型语言模型的智能体的兴起与发展

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This report surveys the potential of large language model-based agents as a promising avenue for achieving artificial general intelligence (AGI). The report explains that while previous efforts in AI have focused on enhancing specific capabilities or performance on particular tasks, a general and powerful model is needed as a starting point for designing AI agents that can adapt to diverse scenarios. The report argues that large language models (LLMs) are well-suited for this purpose due to their versatile and remarkable capabilities. The report presents a conceptual framework for LLM-based agents, consisting of three main components: brain, perception, and action. The report concludes by highlighting the significant progress that has been made in leveraging LLMs to build AI agents, and the potential for further development in this area.