An epoch is a full training run through the entire training dataset. Temperature is a coefficient generally applied to sampling of probability distributions which refers to how much the distribution of possible outputs is flattened towards uniform randomness. The term "temperature" is derived from its conceptual origins in Simulated Annealing, which is in turn an analogy derived from analysis of steady states in physical systems.
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