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- 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。
- 求通俗解释NLP里的perplexity是什么？ - 知乎
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 perplexity 越小，表示语言模型越好。
- Comparing Perplexities With Different Data Set Sizes
7 I am currently doing research comparing language modelling in English to language modelling in programming languages (namely Java) using perplexity as the metric for the language model being used My question is whether different data set sizes will invalidate the comparison of the perplexities
- 如何评价 Perplexity 消除了 DeepSeek 的审查以提供 . . . - 知乎
如何评价 Perplexity 消除了 DeepSeek 的审查以提供公正、准确的回答？ Perplexity: 我们很高兴地宣布，全新 DeepSeek R1 模型现已在所有 Perplexity 平台上线。
- Why do I get weird results when using high perpexity in t-SNE?
I played around with the t-SNE implementation in scikit-learn and found that increasing perplexity seemed to always result in a torus circle I couldn't find any mentions about this in literature
- clustering - Why does larger perplexity tend to produce clearer . . .
Why does larger perplexity tend to produce clearer clusters in t-SNE? By reading the original paper, I learned that the perplexity in t-SNE is 2 2 to the power of Shannon entropy of the conditional distribution induced by a data point
- Why does perplexity change with different ranges of k?
Why can I compare perplexity between my first two outputs while the third output doesn't appear to be comparable? For example, k = 9 in the first two outputs hovers around a perplexity of 32,000 In the third output, k = 10 is nearly 100,000 in perplexity—nowhere near 32,000 Wouldn't we expect perplexity for k = 10 to remain close to 32,000?
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