Perplexity (P) is a commonly used measure in language modeling to evaluate how well a language model predicts a given sentence or sequence of words. It is calculated using the following formula: P = 2^(-l) where P is the perplexity, and l is the average log-likelihood of the test set...
具体说，perplexity.ai现在卡在了很好的位置：基于 Large Language Model 强大摘要能力的展示，相比知识图...
> > From the perplexity formula (https://web.stanford.edu/class/cs124/lec/> languagemodeling.pdf) > > Applying the sum of inverse log formula to get the inner variable and then > taking the nth root, the perplexity number is unusually small: > > >>> import kenlm>>> m = kenlm.Mod...