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  2. Grammarly - Wikipedia

    en.wikipedia.org/wiki/Grammarly

    In 2020, Grammarly made its first investment in an outside company, participating in a $10 million funding round for Docugami, a company working on AI-driven document generation. [14] In 2021, Grammarly raised another $200 million, at a total valuation of $13 billion, via its third funding round. [15]

  3. List of websites blocked in mainland China - Wikipedia

    en.wikipedia.org/wiki/List_of_websites_blocked...

    Partially blocked (sometimes can be accessed normally, sometimes inaccessible) due to legal issues and inconsistencies with reCAPTCHA, which Grammarly uses to reset password. ReCAPTCHA has difficulty functioning when logged out of Google, and Google is blocked in China.

  4. Hugging Face - Wikipedia

    en.wikipedia.org/wiki/Hugging_Face

    On September 23, 2024, to further the International Decade of Indigenous Languages, Hugging Face teamed up with Meta and UNESCO to launch a new online language translator [15] built on Meta's No Language Left Behind open-source AI model, enabling free text translation across 200 languages, including many low-resource languages.

  5. Grammar checker - Wikipedia

    en.wikipedia.org/wiki/Grammar_checker

    As of 2019, grammar checkers are built into systems like Google Docs and Sapling.ai, [6] browser extensions like Grammarly and Qordoba, desktop applications like Ginger, free and open-source software like LanguageTool, [7] and text editor plugins like those available from WebSpellChecker Software.

  6. Comparison of anti-plagiarism software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_anti...

    Grammarly: Grammarly, Inc. 2016 freemium: SaaS: Latin Checks against ProQuest databases and (public) web pages. [4] HelioBLAST: Virginia Bioinformatics Institute? (free of charge web service) Latin Submissions are limited to 1,000 words. Checking against abstract and titles in Medline/PubMed. [5] iThenticate: iParadigms 2004 2017 proprietary ...

  7. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation.LLMs are language models with many parameters, and are trained with self-supervised learning on a vast amount of text.

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