For a long time, humanity has pursued artificial intelligence (AI) equivalent to or
surpassing the human level, with AI agents considered a promising vehicle for
this pursuit. AI agents are artificial entities that sense their environment, make
decisions, and take actions. Many efforts have been made to develop intelligent
agents, but they mainly focus on advancement in algorithms or training strategies
to enhance specific capabilities or performance on particular tasks. Actually, what
the community lacks is a general and powerful model to serve as a starting point
for designing AI agents that can adapt to diverse scenarios. Due to the versatile
capabilities they demonstrate, large language models (LLMs) are regarded as
potential sparks for Artificial General Intelligence (AGI), offering hope for building
general AI agents. Many researchers have leveraged LLMs as the foundation to
build AI agents and have achieved significant progress. In this paper, we perform
TheRiseandPotentialofLargeLanguageModel BasedAgents