intuition - What is perplexity? - Cross Validated So perplexity represents the number of sides of a fair die that when rolled, produces a sequence with the same entropy as your given probability distribution Number of States OK, so now that we have an intuitive definition of perplexity, let's take a quick look at how it is affected by the number of states in a model
如何评价perplexity ai，会是未来搜索的趋势吗？ - 知乎 Perplexity AI 不是搜索的终点，但可能是我们逃离“信息垃圾场”的起点。 它就像是搜索引擎界的 GPT-4：懂你说什么，还知道去哪儿找答案。 当然，要是它哪天推出 Pro 会员，也别忘了上拼团看看有没有便宜团能拼，不然 AI 会用，钱包也得会养哈哈~
Perplexity formula in the t-SNE paper vs. in the implementation The perplexity formula in the official paper of t-SNE IS NOT the same as in its implementation In the implementation (MATLAB): % Function that computes the Gaussian kernel values given a vector of % squared Euclidean distances, and the precision of the Gaussian kernel
How to find the perplexity of a corpus - Cross Validated Stack Exchange Network Stack Exchange network consists of 183 Q A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers
clustering - Why does larger perplexity tend to produce clearer . . . The larger the perplexity, the more non-local information will be retained in the dimensionality reduction result Yes, I believe that this is a correct intuition The way I think about perplexity parameter in t-SNE is that it sets the effective number of neighbours that each point is attracted to
Inferring the number of topics for gensims LDA - perplexity, CM, AIC . . . Having negative perplexity apparently is due to infinitesimal probabilities being converted to the log scale automatically by Gensim, but even though a lower perplexity is desired, the lower bound value denotes deterioration (according to this), so the lower bound value of perplexity is deteriorating with a larger number of topics in my figures
Perplexity calculation in variational neural topic models Since $\log p(X)$ is intractable in the NVDM, we use the variational lower bound (which is an upper bound on perplexity) to compute the perplexity following Mnih Gregor (2014)