Perplexity的多模型切换是亮点，同一个问题可以对比不同AI的回答。 如果你是重度用户，需要顶级模型和学术搜索，那Pro值得试试。 说在最后 AI工具更新太快，能白嫖就白嫖。 但请记住：天下没有免 …

I came across term perplexity which refers to the log-averaged inverse probability on unseen data. Wikipedia article on perplexity does not give an intuitive meaning for the same. This perplexity

一、Change：Perplexity不再做搜索了 1.1 以前的Perplexity是什么？ 在讲Computer之前，先简单说说Perplexity是干什么的。 简单说，它是一个 AI答案引擎。 以前你想知道什么： 打开Google 输入关键 …

Jan 5, 2023 · I am working on VQ-VAE experiments, and I have noticed that perplexity has been used as an evaluation measure for VQ codebook. Also, most of the work including codebook perplexity as …

所以在给定输入的前面若干词汇即给定历史信息后，当然语言模型等可能性输出的结果个数越少越好，越少表示模型就越知道对给定的历史信息 \ {e_1\cdots e_ {i-1}\} ，应该给出什么样的输出 e_i ，即 …

Sep 29, 2022 · It's impossible to say. Increasing n trades off variance in exchange for less bias. The only way to know whether increasing n reduces perplexity is by already knowing how exactly how the text …

说到底，perplexity是一个问答引擎，360AI搜索也是。是为解决复杂语句搜索问题。最后我再谈谈场景。 我昨天读了一本书，书中有我不理解的地方或者说我想要了解更多的地方。于是我就用360AI搜索提 …

Are there any rules of thumb (number of features, dimension of embedding -> choice of perplexity)? I just apply ad-hoc settings at the moment as it takes too long to iterate various settings. Thanks for …

于是我想看看这两者有没有正相关性，如果正相关性很大，那这两个指标都可以用。 所以我就用python试了一下： 1、设gensim中log_perplexity（）函数反算的困惑度为perp1；Blei论文中的perplexity（使 …

Jul 9, 2016 · I will cite the FAQ from . First for perplexity: How should I set the perplexity in t-SNE? The performance of t-SNE is fairly robust under different settings of the perplexity. The most appropriate …