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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
    这个确实不好说(不限于 perplexity ai)。 事实上,最近这波大语言模型(LLM)出现之后,对用户作为信息真假的第一责任人的要求越来越高。 以前还可以通过文字本身逻辑之外的拼写质量、引用是否规范等外在因素判断,但现在是 LLM 造“假”和吐真能力一样强
  • 求通俗解释NLP里的perplexity是什么? - 知乎
    困惑度 Perplexity 是衡量语言模型好坏的指标,为了更好地理解其意义,首先有必要回顾熵的概念。 根据信息论与编码的知识,我们知道 熵代表着根据信息的概率分布对其编码所需要的最短平均编码长度。
  • information theory - Calculating Perplexity - Cross Validated
    In the Coursera NLP course , Dan Jurafsky calculates the following perplexity: Operator(1 in 4) Sales(1 in 4) Technical Support(1 in 4) 30,000 names(1 in 120,000 each) He says the Perplexity is 53
  • 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
  • 如何评价perplexity ai,会是未来搜索的趋势吗? - 知乎
    论搜索,perplexity的工程师对搜索的理解不可能干的过谷歌。 论时效性也不可能干的过X。 从使用角度来说,Google 的deepreasearch效果比perplexity强八百条街,而Grok的deepersearch效果不仅比perplexity好,免费用量还比perplexity多。
  • autoencoders - Codebook Perplexity in VQ-VAE - Cross Validated
    When calculating perplexity, we are effectively calculating the codebook utilization In the example above, if you change the low and high to a narrow range, then out of the 1024 codebook entries that we could have picked predicted by our model, we only ended up picking a small range




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