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  2. Wikipedia:Database download - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Database_download

    64-bit kernel 2.4.x systems have an 8 EB limit for all file systems. 32-bit kernel 2.6.x systems without option CONFIG_LBD have a 2 TB limit for all file systems. 32-bit kernel 2.6.x systems with option CONFIG_LBD and all 64-bit kernel 2.6.x systems have an 8 ZB limit for all file systems. [5]

  3. Automatic summarization - Wikipedia

    en.wikipedia.org/wiki/Automatic_summarization

    Abstractive summarization methods generate new text that did not exist in the original text. [12] This has been applied mainly for text. Abstractive methods build an internal semantic representation of the original content (often called a language model), and then use this representation to create a summary that is closer to what a human might express.

  4. Google Chrome will use generative AI to summarize articles - AOL

    www.aol.com/news/google-chrome-generative-ai...

    Google is using AI to create a somewhat unique approach to reading articles online.As outlined in a Tuesday blog post, Google is applying its generative AI efforts towards something called "SGE ...

  5. Download or update your web browser - AOL Help

    help.aol.com/articles/download-or-upgrade-your...

    • Firefox - Get it for the first time or update your current version. • Chrome - Get it for the first time or update your current version. • Edge - Comes pre-installed with Windows 10. Get the latest update. If you're still having trouble loading web pages using the latest version of your web browser, try our steps to clear your cache.

  6. Otter.ai - Wikipedia

    en.wikipedia.org/wiki/Otter.ai

    Otter.ai was founded as AISense in 2016 by Sam Liang and Yun Fu, two computer science engineers with a long history of working with artificial intelligence. [ 2 ] [ 3 ] In January 2018, the company announced a partnership with Zoom Video Communications to transcribe video meetings post-conference. [ 4 ]

  7. Multi-document summarization - Wikipedia

    en.wikipedia.org/wiki/Multi-document_summarization

    Multi-document summarization is an automatic procedure aimed at extraction of information from multiple texts written about the same topic. The resulting summary report allows individual users, such as professional information consumers, to quickly familiarize themselves with information contained in a large cluster of documents.

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