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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. ChatGPT maker OpenAI announces new 'flagship' model - AOL

    www.aol.com/finance/chatgpt-maker-openai...

    May 13, 2024 at 10:25 AM. OpenAI, the artificial intelligence start-up behind chatbot ChatGPT, announced Monday it is rolling out a "new flagship model" that will be available to users for free ...

  4. ChatGPT is finally connected to the web after huge ... - AOL

    www.aol.com/chatgpt-finally-connected-huge...

    OpenAI has unveiled a major update to its ChatGPT app, allowing users to finally browse the web with the AI chatbot.. The hugely popular tool, which hit 100 million users in record time just two ...

  5. OpenAI - Wikipedia

    en.wikipedia.org/wiki/OpenAI

    In response to GPT-2, the Allen Institute for Artificial Intelligence responded with a tool to detect "neural fake news". Other researchers, such as Jeremy Howard, warned of "the technology to totally fill Twitter, email, and the web up with reasonable-sounding, context-appropriate prose, which would drown out all other speech and be impossible ...

  6. How ChatGPT changed the world of tech in just one year - AOL

    www.aol.com/finance/chatgpt-changed-world-tech...

    When ChatGPT hit the web on Nov. 30, 2022, the world wasn’t quite prepared for what would happen next. By January 2023, just two months later, the app had a whopping 100 million monthly active ...

  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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