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  2. 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.

  3. 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]

  4. GPT - Wikipedia

    en.wikipedia.org/wiki/GPT

    GPT may refer to: Computing. Generative pre-trained transformer, a type of artificial intelligence language model ChatGPT, a chatbot developed by OpenAI, based on ...

  5. GUID Partition Table - Wikipedia

    en.wikipedia.org/wiki/GUID_Partition_Table

    Details of GPT support on UNIX and Unix-like operating systems OS family Version or edition Platform Read and write support Boot support Note FreeBSD: Since 7.0 IA-32, x86-64, ARM: Yes Yes In a hybrid configuration, both GPT and MBR partition identifiers may be used. Linux: Most of the x86 Linux distributions Fedora 8+ and Ubuntu 8.04+ [17] IA ...

  6. GPT-2 - Wikipedia

    en.wikipedia.org/wiki/GPT-2

    GPT-2 was pre-trained on a dataset of 8 million web pages. [2] It was partially released in February 2019, followed by full release of the 1.5-billion-parameter model on November 5, 2019. [3] [4] [5] GPT-2 was created as a "direct scale-up" of GPT-1 [6] with a ten-fold increase in both its parameter count and the size of its training dataset. [5]

  7. GPT-3 - Wikipedia

    en.wikipedia.org/wiki/GPT-3

    Generative Pre-trained Transformer 3.5 (GPT-3.5) is a sub class of GPT-3 Models created by OpenAI in 2022. On March 15, 2022, OpenAI made available new versions of GPT-3 and Codex in its API with edit and insert capabilities under the names "text-davinci-002" and "code-davinci-002". [ 28 ]

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  9. OpenAI - Wikipedia

    en.wikipedia.org/wiki/OpenAI

    Pre-training GPT-3 required several thousand petaflop/s-days [b] of compute, compared to tens of petaflop/s-days for the full GPT-2 model. [180] Like its predecessor, [ 170 ] the GPT-3 trained model was not immediately released to the public for concerns of possible abuse, although OpenAI planned to allow access through a paid cloud API after a ...