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The lowest perplexity that had been published on the Brown Corpus (1 million words of American English of varying topics and genres) as of 1992 is indeed about 247 per word/token, corresponding to a cross-entropy of log 2 247 = 7.95 bits per word or 1.75 bits per letter [5] using a trigram model. While this figure represented the state of the ...
The most popular English translation is the two-volume set The Guide of the Perplexed, translated by Shlomo Pines, with an extensive introductory essay by Leo Strauss, published in 1963. [24] A new English translation published by Lenn E. Goodman and Phillip I. Lieberman of Vanderbilt University was published in 2024. This edition attempts to ...
In English essay first meant "a trial" or "an attempt", and this is still an alternative meaning. The Frenchman Michel de Montaigne (1533–1592) was the first author to describe his work as essays; he used the term to characterize these as "attempts" to put his thoughts into writing. Subsequently, essay has been
Wikipedia:Large language models, a draft proposal for a Wikipedia guideline on the use of language models; Wikipedia:Artificial intelligence, an essay about the use of artificial intelligence on Wikipedia and Wikimedia projects; Initial version of Artwork title, a surviving article developed from raw LLM output (before this page had been developed)
GPTZero uses qualities it terms perplexity and burstiness to attempt determining if a passage was written by a AI. [14] According to the company, perplexity is how random the text in the sentence is, and whether the way the sentence is constructed is unusual or "surprising" for the application.
Perplexity listed a variety of sources—the first one being the Hindustan Times, an Indian English-language daily newspaper based in Delhi, followed by ABC News, and Fortune (which has a ...
The CEO of Perplexity AI shared some principles that guided him as a startup founder.. Aravind Srinivas talked about having "an extreme bias for action" in a recent talk at Stanford. He also said ...
Some examples of what it can do: Look up a topic; Answer a question; Create a table; Reformat a table that you provide; Write a program (it can write programs in about 20 programming languages) Write a userscript; Write a lua module; Explain what a program does, line by line; Improve or refactor a program, userscript, or lua module