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  2. ChatGPT - Wikipedia

    en.wikipedia.org/wiki/ChatGPT

    ChatGPT is a chatbot 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 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 have been widely discussed within education, with many in education opposing usage of large language models, while others have described the tools as useful. The use of oral exams have been proposed to assure that such chatbots cannot be used in ...

  4. 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 ...

  5. ChatGPT set to surpass 100M users faster than TikTok: UBS - AOL

    www.aol.com/finance/chatgpt-track-surpass-100...

    ChatGPT, the AI chatbot that's garnered widespread attention since its launch two months ago, is on track to surpass 100 million monthly active users (MAUs), according to data compiled by UBS.

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

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

    ChatGPT creator OpenAI on Monday introduced a new advanced artificial intelligence model, GPT-40, and showed off its new features, which will be free for users.

  7. GPT-3 - Wikipedia

    en.wikipedia.org/wiki/GPT-3

    v. t. e. Generative Pre-trained Transformer 3 ( GPT-3) is a large language model released by OpenAI in 2020. Like its predecessor, GPT-2, it is a decoder-only [2] transformer model of deep neural network, which supersedes recurrence and convolution-based architectures with a technique known as "attention". [3]

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