Artificial Intelligence, Deep Learning, Machine Learning, Data Science.
through Entropy Entropy quantifies the unpredictability or randomness of the model’s predictions in the context of information theory applied to LLM outputs. For a given temperature-scaled softmax output distribution p(T), the entropy H(T) is mathematically defined as: Eq. 12: Entropy, H(T)