LLMs suggested directionally correct but poorly calibrated Bayesian priors, with Claude's weak priors ranking best on KL divergence from the data.
Current applications and challenges in large language models for patient care: a systematic review
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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.