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Hume is a probabilistic programming language for creating machine learning and AI. The language lets users model real-world scenarios with uncertainty, which can be useful in fields like finance, healthcare or logistics where making decisions requires reasoning about complex environments under conditions of incomplete information. Hume uses Bayesian inference to update the probability distribution on variables in response to observed data. The syntax and semantics are designed to support compositional modeling, enabling developers to build up complex systems from simpler components.