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 …

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。

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 …

Mar 8, 2018 · 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 …

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 …

Mar 28, 2019 · 10 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 …

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。

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Apr 14, 2019 · 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 …

And this is the perplexity of the corpus to the number of words. If you feel uncomfortable with the log identities, Google for a list of logarithmic identities.