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Automatic summarization is the process of shortening a set of data computationally, to create a subset (a summary) that represents the most important or relevant information within the original content. Artificial intelligence algorithms are commonly developed and employed to achieve this, specialized for different types of data.
According to a 30 under 30 listing on Forbes, QuillBot has a user base that includes both free and premium subscribers.The listing also states that in August 2023, QuillBot was acquired by Course Hero. [5]
AI content is not always "unsourced"—sometimes it has real sources that are unrelated to the article's topic, sometimes it creates its own fake sources, and sometimes it uses legitimate sources to create the AI content. Be careful when removing bad AI content not to remove legitimate sources, and always check the cited sources for legitimacy.
Paraphrase or paraphrasing in computational linguistics is the natural language processing task of detecting and generating paraphrases.Applications of paraphrasing are varied including information retrieval, question answering, text summarization, and plagiarism detection. [1]
For a few Wikipedias, the program scans newly revised articles daily, to create a new list for users, omitting already-corrected articles. A specific interface – here for the English project – facilitates correcting problems detected by the program in the following three levels of ranking priorities errors.
Perplexity AI is a conversational search engine that uses large language models (LLMs) to answer queries using sources from the web and cites links within the text response. [3] Its developer, Perplexity AI, Inc., is based in San Francisco, California .
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