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Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus?

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NBER2023-04-01 更新2025-01-04 收录
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https://www.nber.org/papers/w31122
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资源简介:
We argue that newly-developed large language models (LLMs), because of how they are trained and designed, are implicit computational models of humansa Homo silicus. LLMs can be used like economists use Homo economicus: they can be given endowments, information, preferences, and so on, and then their
提供机构:
美国国家经济研究局
创建时间:
2023-04-01
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