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  2. 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.

  3. Deep Learning (South Park) - Wikipedia

    en.wikipedia.org/wiki/Deep_Learning_(South_Park)

    List of episodes. " Deep Learning " is the fourth episode of the twenty-sixth season of the American animated television series South Park, and the 323rd episode of the series overall. Written and directed by Trey Parker, it premiered on March 8, 2023. [1] [2] The episode, which parodies the use of the artificial intelligence chatbot ChatGPT ...

  4. 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] confabulation [2] or delusion [3]) is a response generated by AI which contains false or misleading information presented as fact. [4] [5] [6] This term draws a loose analogy with human psychology, where hallucination ...

  5. I Asked ChatGPT to Simplify My Life and Save Me Money - AOL

    www.aol.com/asked-chatgpt-simplify-life-save...

    Consider welcoming ChatGPT to the chat. And if you're skeptical about leaving the task to AI, don't worry, we tried it ourselves. We asked ChatGPT to give us some ideas to simplify our lives and ...

  6. I tried using ChatGPT for dating — and the AI might have ...

    www.aol.com/news/used-chatgpt-help-date-happened...

    So buckle up and get ready for some fun!” the AI software came back, with ChatGPT bewilderingly doubling down on the insistence that my Hinge match “buckle up,” as if I were a professional ...

  7. Generative pre-trained transformer - Wikipedia

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

    History Initial developments. Generative pretraining (GP) was a long-established concept in machine learning applications. 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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