Large language models have sparked human curiosity, leading to the exploration of their capabilities and reasoning processes, resulting in the development of many interesting experimental methods.
This approach shares some similarities with psychological experimental design, which attempts to analyze human behavior and thought patterns.
This lecture will introduce the current experimental design methods for large language models, explore their significance and potential, and present the current understanding of these models.
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