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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.
A résumé or resume (or alternatively resumé), [a] [1] is a document created and used by a person to present their background, skills, and accomplishments. Résumés can be used for a variety of reasons, but most often are used to secure new jobs, whether in the same organization or another.
This section should include a summary of, or be summarized in, another article. See Wikipedia:Summary style for information on how to incorporate it into this article's main text, or the main text of another article.
Frequently described as "TikTok for text" and a competitor to Twitter, [9] [13] Artifact was a news aggregator that used machine learning to make personalized recommendations based on topics, news sources, and authors that the reader is interested in. [14] [15] In addition to reading articles, the app offered the ability to like articles, leave comments, [16] or listen to an audio version of ...
The incident was later documented in the AI Incident Database (AIID), cataloging it as an example of "an AI-synthetic audio sold as an NFT on Voiceverse's platform [that] was acknowledged by the company for having been created by 15.ai, a free web app specializing in text-to-speech and AI-voice generation, and reused without proper attribution."
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