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...520 ??? · 604 ?? · 198 ?? ???? ?? ?? ????? ????????????????????? 480 ??? · 287 ?? · 141 ?? ????? 3 ? 4-3 ????????????? WTT ????? 8 ??????????? 108 ??? · 295 ?? · 199 ??...
https://www.zhihu.com/explore
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...Perplexity???????AI????????????????????????????????? ?????????????????????????????????? ??????Perplexity??????????????? ?? ????...
https://www.zhihu.com/question/1923175555286689467
intuition - What is perplexity? - Cross Validated
...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...
https://stats.stackexchange.com/questions/10302/what-is-perplexity
In LDA, how to interpret the meaning of topics?
...So we expect the learned topics to be closely related to newsgroup titles. In general, however, the topic meaning is interpreted by the user. On the other hand, for a quantitative evaluation of topic models, perplexity is used as a measure of how well the topic model fits the data by computing the average log-likelihood of the test set....
https://stats.stackexchange.com/questions/120031/in-lda-how-to-interpret-the-meaning-of-topics
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...??? Engineering » Research ????? Perplexity AI ??????University of Washington? ?????...
https://www.zhihu.com/people/abcdabcd987
PerplexityAI - ??
...Perplexity ????????????????????????????????? AI ??? OpenAI ???????????? gpt-oss-20b ? gpt-oss-120b ?? ????????????Perplexity ??? gpt-oss-20b ? gpt-oss-120b ?????? ???...
https://www.zhihu.com/people/perplexityai
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...???????1?99 ????????????????????????????????????????????????????? ???????? ?????????????????? Word ? WPS ??? ?????? ?????????????1?999????????360???? ......
https://www.zhihu.com/question/28603708
How to determine parameters for t-SNE for reducing dimensions?
...I will cite the FAQ from t-SNE website. 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 value depends on the density of your data. Loosely speaking, one could say that a larger / denser dataset requires a larger perplexity....
https://stats.stackexchange.com/questions/222912/how-to-determine-parameters-for-t-sne-for-reducing-dimensions
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......
https://stats.stackexchange.com/questions/103029/calculating-perplexity
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...???????????????????????????? ????????????????? ????????????????????????????????????????? ?????????????????? ?????????????????????????? ......
https://www.zhihu.com/question/20076649