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  2. 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.

  3. Ilya Sutskever - Wikipedia

    en.wikipedia.org/wiki/Ilya_Sutskever

    Sutskever attended the Open University of Israel between 2000 and 2002. [15] After that, he moved to Canada with his family and attended the University of Toronto in Ontario . Sutskever received a Bachelor of Science in mathematics from the University of Toronto in 2005, [ 15 ] [ 16 ] [ 5 ] [ 17 ] a Master of Science in computer science in 2007 ...

  4. DALL-E - Wikipedia

    en.wikipedia.org/wiki/DALL-E

    The first version of DALL-E was announced in January 2021. In the following year, its successor DALL-E 2 was released. DALL·E 3 was released natively into ChatGPT for ChatGPT Plus and ChatGPT Enterprise customers in October 2023, [1] with availability via OpenAI's API [2] and "Labs" platform provided in early November. [3]

  5. GPT-4 - Wikipedia

    en.wikipedia.org/wiki/GPT-4

    Generative Pre-trained Transformer 4 (GPT-4) is a multimodal large language model created by OpenAI, and the fourth in its series of GPT foundation models. [1] It was launched on March 14, 2023, [1] and made publicly available via the paid chatbot product ChatGPT Plus, via OpenAI's API, and via the free chatbot Microsoft Copilot. [2]

  6. GPT-3 - Wikipedia

    en.wikipedia.org/wiki/GPT-3

    GPT-3 was used by The Guardian to write an article about AI being harmless to human beings. It was fed some ideas and produced eight different essays, which were ultimately merged into one article. [44] GPT-3 was used in AI Dungeon, which generates text-based adventure games. Later it was replaced by a competing model after OpenAI changed their ...

  7. Generative pre-trained transformer - Wikipedia

    en.wikipedia.org/wiki/Generative_pre-trained...

    Generative pretraining (GP) was a long-established concept in machine learning applications. [16] [17] [18] It was originally used as a form of semi-supervised learning, as the model is trained first on an unlabelled dataset (pretraining step) by learning to generate datapoints in the dataset, and then it is trained to classify a labelled dataset.

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