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  2. GPTZero - Wikipedia

    en.wikipedia.org/wiki/GPTZero

    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.

  3. I Let ChatGPT Train Me for a Month—and the Results ... - AOL

    www.aol.com/let-chatgpt-train-month-results...

    I’m a natural optimist, so let’s start with the good. The exercise selection was fine; ChatGPT assigned me compound movements like squats and chest presses with some efficient isolation moves ...

  4. ChatGPT in education - Wikipedia

    en.wikipedia.org/wiki/ChatGPT_in_education

    ChatGPT returned a result of all students using it, and so the professor promptly returned a failing grade to all of his students. Rolling Stone noted however that ChatGPT is unable to reliably verify whether it was used to write student assignments, and a post to a Reddit community dedicated to ChatGPT received widespread attention with many ...

  5. ChatGPT - Wikipedia

    en.wikipedia.org/wiki/ChatGPT

    ChatGPT is a generative artificial intelligence chatbot [2] [3] developed by OpenAI and launched in 2022. It is currently based on the GPT-4o large language model (LLM). ChatGPT can generate human-like conversational responses and enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language. [4]

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

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

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  7. GPT-4o - Wikipedia

    en.wikipedia.org/wiki/GPT-4o

    GPT-4o ("o" for "omni") is a multilingual, multimodal generative pre-trained transformer developed by OpenAI and released in May 2024. [1] GPT-4o is free, but with a usage limit that is five times higher for ChatGPT Plus subscribers. [2]

  8. GPT-2 - Wikipedia

    en.wikipedia.org/wiki/GPT-2

    Since the transformer architecture enabled massive parallelization, GPT models could be trained on larger corpora than previous NLP (natural language processing) models.. While the GPT-1 model demonstrated that the approach was viable, GPT-2 would further explore the emergent properties of networks trained on extremely large corpo

  9. Zero-shot learning - Wikipedia

    en.wikipedia.org/wiki/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.