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  2. Perplexity - Wikipedia

    en.wikipedia.org/wiki/Perplexity

    For example, if you have two choices, one with probability 0.9, your chances of a correct guess using the optimal strategy are 90 percent. Yet, the perplexity is 2 −0.9 log 2 0.9 - 0.1 log 2 0.1 = 1.38. The inverse of the perplexity, 1/1.38 = 0.72, does not correspond to the 0.9 probability.

  3. Readability - Wikipedia

    en.wikipedia.org/wiki/Readability

    Readability is the ease with which a reader can understand a written text.The concept exists in both natural language and programming languages though in different forms. In natural language, the readability of text depends on its content (the complexity of its vocabulary and syntax) and its presentation (such as typographic aspects that affect legibility, like font size, line height ...

  4. List of style guides - Wikipedia

    en.wikipedia.org/wiki/List_of_style_guides

    A style guide, or style manual, is a set of standards for the writing and design of documents, either for general use or for a specific publication, organization or field. The implementation of a style guide provides uniformity in style and formatting within a document and across multiple documents.

  5. Word n-gram language model - Wikipedia

    en.wikipedia.org/wiki/Word_n-gram_language_model

    Unigram models of different documents have different probabilities of words in it. The probability distributions from different documents are used to generate hit probabilities for each query. Documents can be ranked for a query according to the probabilities. Example of unigram models of two documents:

  6. Wikipedia : Using neural network language models on Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Using_neural...

    Even if it is heavily edited by humans, seek other alternatives that don't use the neural network's original content. You may use these neural networks as a writing advisor, i.e. asking for outlines, asking how to improve the paragraph, asking for criticism for the text, etc.

  7. Perplexity AI’s challenge to Google hinges on something ...

    www.aol.com/finance/perplexity-ai-challenge...

    Perplexity AI is valued at $520 million. Google’s market cap is nearing $2 trillion. Perplexity’s CEO thinks he can take them on by being better.

  8. Exclusive: Perplexity’s CEO says his AI search engine is ...

    www.aol.com/finance/exclusive-perplexity-ceo...

    Popular AI search engine Perplexity is debuting new shopping tools that it hopes will make its service a destination for product recommendations—and maybe even actual purchases. The startup is ...

  9. Perplexity AI CEO shares his advice to startup founders on ...

    www.aol.com/perplexity-ai-ceo-shares-advice...

    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 ...