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  2. GPTZero - Wikipedia

    en.wikipedia.org/wiki/GPTZero

    gptzero.me [1][2] GPTZero is an artificial intelligence detection software developed to identify artificially generated text, such as those produced by large language models. [3][4][5][6] While GPTZero has received positive coverage for its efforts to prevent academic dishonesty, many news outlets criticized the tool's false positive rate ...

  3. Artificial intelligence content detection - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence...

    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.

  4. Undetectable.ai - Wikipedia

    en.wikipedia.org/wiki/Undetectable.ai

    Python. Platform. Cloud computing. Website. www.undetectable.ai. 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. [1][2][3]

  5. Hallucination (artificial intelligence) - Wikipedia

    en.wikipedia.org/wiki/Hallucination_(artificial...

    In the field of artificial intelligence (AI), a hallucination or artificial hallucination (also called bullshitting, [ 1 ][ 2 ]confabulation[ 3 ] or delusion[ 4 ]) is a response generated by AI that contains false or misleading information presented as fact. [ 5 ][ 6 ][ 7 ] This term draws a loose analogy with human psychology, where ...

  6. GPT-2 - Wikipedia

    en.wikipedia.org/wiki/GPT-2

    e. Generative Pre-trained Transformer 2 (GPT-2) is a large language model by OpenAI and the second in their foundational series of GPT models. GPT-2 was pre-trained on a dataset of 8 million web pages. [2] It was partially released in February 2019, followed by full release of the 1.5-billion-parameter model on November 5, 2019. [3][4][5]

  7. Zero-shot learning - Wikipedia

    en.wikipedia.org/wiki/Zero-shot_learning

    Zero-shot learning. Zero-shot learning (ZSL) is a problem setup in deep learning where, at test time, a learner observes samples from classes which were not observed during training, and needs to predict the class that they belong to. The name is a play on words based on the earlier concept of one-shot learning, in which classification can be ...

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