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In past years, we have been dedicated to automating user acceptance testing (UAT) process of WeChat Pay, one of the most influential mobile payment applications in China.
Language models are few-shot learners
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A survey for in-context learning
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AutoAgents: A Framework for Automatic Agent Generation
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Improving Factuality and Reasoning in Language Models through Multiagent Debate
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Metagpt: Meta programming for multi-agent collaborative framework
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Text2motion: From natural language instructions to feasible plans
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Llama: Open and efficient foundation language models
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Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al · 2023
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Voyager: An open-ended embodied agent with large language models
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A survey on large language model based autonomous agents
Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, Zhiyuan Chen, Jiakai Tang, Xu Chen, Yankai Lin, et al · 2023
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RecAgent: A Novel Simulation Paradigm for Recommender Systems
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Autogen: Enabling next-gen llm applications via multi-agent conversation framework
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Tree of thoughts: Deliberate problem solving with large language models
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