Navigating Human Language Models with Synthetic Agents

10 Aug 2020 Philip Feldman Antonio Bucchiarone

Modern natural language models such as the GPT-2/GPT-3 contain tremendous amounts of information about human belief in a consistently testable form. If these models could be shown to accurately reflect the underlying beliefs of the human beings that produced the data used to train these models, then such models become a powerful sociological tool in ways that are distinct from traditional methods, such as interviews and surveys... (read more)

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