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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.
The idea is that you open a long-form article of some kind and Google's AI puts together a bullet-point list of key points within the article. Click on one, and it's supposed to take you to the ...
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]
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64-bit versions of Ubuntu 18.04+, Debian 10+, openSUSE 15.5+ and Fedora 39+ [212] Android Oreo or later, Android 10 or later for 64-bit Chrome; iOS 16 or later; iPadOS 16 or later; As of April 2016, stable 32-bit and 64-bit builds are available for Windows, with only 64-bit stable builds available for Linux and macOS.
According to a report from BuzzFeed News, Facebook is testing an AI-powered tool called TL;DR (Too Long; Didn’t Read) to summarize news pieces, so you don’t even have to click through to read ...