Integrate Bayesian Uncertainty Quantification

implementationChallenge

Prompt Content

Implement a Bayesian inference model (e.g., using PyMC) that takes the LLM's hypotheses and the retrieved evidence to calculate posterior probabilities for diagnoses/treatments, along with credible intervals. How will you define the probabilistic graphical model for a chosen clinical scenario (e.g., pneumonia, diabetes)?

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