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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.
Pastebin.com is a text storage site. It was created on September 3, 2002 by Paul Dixon, and reached 1 million active pastes (excluding spam and expired pastes) eight years later, in 2010. It was created on September 3, 2002 by Paul Dixon, and reached 1 million active pastes (excluding spam and expired pastes) eight years later, in 2010.
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.
Adler wanted to create a simple way to publish and share written content online. [5] He co-founded Scribd with Jared Friedman and attended the inaugural class of Y Combinator in the summer of 2006. [6] There, Scribd received its initial $120,000 in seed funding and then launched in a San Francisco apartment in March 2007. [7]
The most famous pastebin is the eponymous pastebin.com. [citation needed] Other sites with the same functionality have appeared, and several open source pastebin scripts are available. Pastebins may allow commenting where readers can post feedback directly on the page. GitHub Gists are a type of pastebin with version control. [citation needed]
Authorea allows researchers to write documents together and attach references, figures, data, and source code. Features of the tool include collaborative editing (multiple people editing a document at the same time), automatic citation formatting, tracking changes, and the ability to make any document public or fully private.
Undetectable AI (or Undetectable.ai) is an artificial intelligence content detection and modification software designed to identify and alter artificially generated text, such as that produced by large language models.
Suno was founded by four people: Michael Shulman, Georg Kucsko, Martin Camacho, and Keenan Freyberg. They all worked for Kensho, an AI startup, before starting their own company in Cambridge, Massachusetts. [3] In April 2023, Suno released their open-source text-to-speech and audio model called "Bark" on GitHub and Hugging Face, under the MIT ...