expected value of the amount of information delivered by a message
In information theory, the entropy of a random variable quantifies the average level of uncertainty or information associated with the variable's potential states or possible outcomes. This measures the expected amount of information needed to describe the state of the variable, considering the distribution of probabilities across all potential states. Given a discrete random variable
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Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).