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  2. Microsoft Copilot - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Copilot

    On May 20, 2024, Microsoft announced integration of GPT-4o into Copilot, as well as an upgraded user interface in Windows 11. [73] Microsoft also revealed a Copilot feature called Recall , which takes a screenshot of a user's desktop every few seconds and then uses on-device artificial intelligence models to allow a user to retrieve items and ...

  3. 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.

  4. OpenOffice.org - Wikipedia

    en.wikipedia.org/wiki/OpenOffice.org

    OpenOffice.org (OOo), commonly known as OpenOffice, is a discontinued open-source office suite.Active successor projects include LibreOffice (the most actively developed [10] [11] [12]) and Collabora Online, with Apache OpenOffice [13] being considered mostly dormant since at least 2015.

  5. Microsoft debuts new Copilot+ PCs using OpenAI's GPT-4o ... - AOL

    www.aol.com/finance/microsoft-debuts-copilot-pcs...

    Microsoft also revealed that its Copilot+ PCs will now run on OpenAI's GPT-4o model, allowing the assistant to interact with your PC via text, video, and voice.

  6. ChatGPT - Wikipedia

    en.wikipedia.org/wiki/ChatGPT

    ChatGPT is a generative artificial intelligence chatbot 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. [2]

  7. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    Other models with large context windows includes Anthropic's Claude 2.1, with a context window of up to 200k tokens. [46] Note that this maximum refers to the number of input tokens and that the maximum number of output tokens differs from the input and is often smaller. For example, the GPT-4 Turbo model has a maximum output of 4096 tokens. [47]

  8. GPT-4o - Wikipedia

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

    According to OpenAI, its low cost is expected to be particularly useful for companies, startups, and developers that seek to integrate it into their services, which often make a high number of API calls. Its API costs $0.15 per million input tokens and $0.6 per million output tokens, compared to $2.50 and $10 [19], respectively, for GPT-4o.

  9. GPT-3 - Wikipedia

    en.wikipedia.org/wiki/GPT-3

    The first GPT model was known as "GPT-1," and it was followed by "GPT-2" in February 2019. Created as a direct scale-up of its predecessor, GPT-2 had both its parameter count and dataset size increased by a factor of 10. It had 1.5 billion parameters, and was trained on a dataset of 8 million web pages. [9]