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GPTZero uses qualities it terms perplexity and burstiness to attempt determining if a passage was written by a AI. [14] According to the company, perplexity is how random the text in the sentence is, and whether the way the sentence is constructed is unusual or "surprising" for the application.
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.
Artificial intelligence detection software aims to determine whether some content (text, image, video or audio) was generated using artificial intelligence (AI).. However, the reliability of such software is a topic of debate, [1] and there are concerns about the potential misapplication of AI detection software by educators.
A college junior has told The Post how she was put on academic probation after college anti-plagiarism software accused her of using AI to write a paper — which she strongly denies.
[17] [18] Additionally, the company paid the salaries of Ukrainians who left their jobs at Grammarly to join the nation's army [19] and made its product free for Ukrainian journalists publishing news about the war in English. [17] In April 2023, Grammarly launched a product using generative AI built on the GPT-3 large language models. [20]
Systems for text similarity detection implement one of two generic detection approaches, one being external, the other being intrinsic. [5] External detection systems compare a suspicious document with a reference collection, which is a set of documents assumed to be genuine. [6]
As of 2019, grammar checkers are built into systems like Google Docs and Sapling.ai, [6] browser extensions like Grammarly and Qordoba, desktop applications like Ginger, free and open-source software like LanguageTool, [7] and text editor plugins like those available from WebSpellChecker Software.
All detection techniques are based on modelling the background of the image, i.e. set the background and detect which changes occur. Defining the background can be very difficult when it contains shapes, shadows, and moving objects. In defining the background, it is assumed that the stationary objects could vary in color and intensity over time.