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  2. QuillBot - Wikipedia

    en.wikipedia.org/wiki/QuillBot

    According to a 30 under 30 listing on Forbes QuillBot has a user base that includes both free and premium subscribers. The listing also states that in August 2023, QuillBot was acquired by Course Hero. [5]

  3. Wordtune - Wikipedia

    en.wikipedia.org/wiki/Wordtune

    Users can use the tool to paraphrase text being composed on services like Gmail, Google Docs, Facebook, Twitter, and LinkedIn. [ 10 ] On November 14, 2021, AI21 released Wordtune Read — an AI-powered Chrome extension and standalone app designed to process large amounts of written text from websites, documents, or YouTube videos, and summarize ...

  4. Paraphrase - Wikipedia

    en.wikipedia.org/wiki/Paraphrase

    A paraphrase or rephrase (/ ˈ p ær É™ ËŒ f r eɪ z /) is the rendering of the same text in different words without losing the meaning of the text itself. [1] More often than not, a paraphrased text can convey its meaning better than the original words.

  5. Artificial intelligence in architecture - Wikipedia

    en.wikipedia.org/wiki/Artificial_Intelligence_in...

    In an interview for the AItopia series to Dezeen, designer Tim Fu discussed the transformative potential of artificial intelligence (AI) in architecture, there he proposed a future where AI could herald a "neoclassical futurist" style, blending the grandeur of classical aesthetics with futuristic design. Through his collaborative project, The ...

  6. Automatic summarization - Wikipedia

    en.wikipedia.org/wiki/Automatic_summarization

    Some unsupervised summarization approaches are based on finding a "centroid" sentence, which is the mean word vector of all the sentences in the document. Then the sentences can be ranked with regard to their similarity to this centroid sentence. A more principled way to estimate sentence importance is using random walks and eigenvector centrality.

  7. Google Neural Machine Translation - Wikipedia

    en.wikipedia.org/wiki/Google_Neural_Machine...

    Google Neural Machine Translation (GNMT) was a neural machine translation (NMT) system developed by Google and introduced in November 2016 that used an artificial neural network to increase fluency and accuracy in Google Translate.

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