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  2. 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]

  3. GPT-4o - Wikipedia

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

    GPT-4o mini is the default model for users not logged in who use ChatGPT as guests and those who have hit the limit for GPT-4o. GPT-4o mini will become available in fall 2024 on Apple's mobile devices and Mac desktops, through the Apple Intelligence feature.

  4. Prompt engineering - Wikipedia

    en.wikipedia.org/wiki/Prompt_engineering

    Prompt engineering is the process of structuring an instruction that can be interpreted and understood by a generative artificial intelligence (AI) model. [ 1 ] [ 2 ] A prompt is natural language text describing the task that an AI should perform. [ 3 ]

  5. I made ChatGPT Search my default browser search engine ... - AOL

    www.aol.com/made-chatgpt-search-default-browser...

    The launch of the tool to free users also means you can go into your web browser settings and set ChatGPT Search as the default search engine — meaning that typing a question or keyword into the ...

  6. Facebook owner hit with 251 million euros in fines for 2018 ...

    www.aol.com/facebook-owner-hit-251-million...

    LONDON (AP) — European Union privacy watchdogs hit Facebook owner Meta with fines totaling 251 million euros on Monday after an investigation into a 2018 data breach on the social media platform ...

  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] 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.