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  2. GPTZero - Wikipedia

    en.wikipedia.org/wiki/GPTZero

    GPTZero is an artificial intelligence detection software developed to identify artificially generated text, such as that produced by large language models.. While GPTZero has received positive coverage for its efforts to prevent academic dishonesty, its reported outputs of false positives has been a source of criticism.

  3. ChatGPT - Wikipedia

    en.wikipedia.org/wiki/ChatGPT

    ChatGPT is a chatbot and virtual assistant developed by OpenAI and launched on November 30, 2022. Based on large language models (LLMs), it enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language. Successive user prompts and replies are considered at each conversation stage as context.

  4. ChatGPT in education - Wikipedia

    en.wikipedia.org/wiki/ChatGPT_in_education

    ChatGPT in education. Since OpenAI's public release of ChatGPT in November 2022, the use of chatbots has been widely discussed within education. Opinions among educators are divided; some oppose the use of large language models, while others find them beneficial. The use of oral exams have been proposed to assure that such chatbots cannot be ...

  5. Student uses Chat GPT to write paper, gets a zero ... - AOL

    www.aol.com/news/student-uses-chat-gpt-write...

    Refiloe Majola (@refiloe_majola) posted a video of a term paper with a grade of zero on it because it was found to be 100% AI-generated. “What ever happened to paraphrasing bro,” replied @maboya_.

  6. 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.

  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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