Turning English descriptions into working Bayesian samplers

MCMC sampling requires writing complex, error-prone code. AI4BayesCode lets you describe a Bayesian model in English and generates validated samplers automatically. It breaks models into modular blocks (each mapped to a pre-built sampling algorithm) and validates the specification before and after code generation. The system introduces a "recursively stateful" design so different components can be composed together coherently. Experiments show it handles diverse models correctly—potentially saving hours of coding and debugging.