Perplexity is a metric that measures the uncertainty of a model's predictions. Specifically, in language models, it quantifies how well the model predicts the next word in a sequence. When a model makes a prediction, it assigns probabilities to possible next words. Mathematically, perplexity is calculated as: ext{Perplexity} = 2^{H(p)}where