LLMs suggested directionally correct but poorly calibrated Bayesian priors, with Claude's weak priors ranking best on KL divergence from the data.
Leveraging large language models in finance: Pathways to responsible adoption, 2024
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Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statistics
LLMs suggested directionally correct but poorly calibrated Bayesian priors, with Claude's weak priors ranking best on KL divergence from the data.