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  2. GPT-2 - Wikipedia

    en.wikipedia.org/wiki/GPT-2

    Generative Pre-trained Transformer 2 (GPT-2) is a large language model by OpenAI and the second in their foundational series of GPT models. 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]

  3. Generative pre-trained transformer - Wikipedia

    en.wikipedia.org/wiki/Generative_pre-trained...

    OpenAI's GPT-n series Model Architecture Parameter count Training data Release date Training cost GPT-1: 12-level, 12-headed Transformer decoder (no encoder), followed by linear-softmax. 117 million BookCorpus: [39] 4.5 GB of text, from 7000 unpublished books of various genres. June 11, 2018 [9] 30 days on 8 P600 GPUs, or 1 petaFLOP/s-day. [9 ...

  4. Transformer (deep learning architecture) - Wikipedia

    en.wikipedia.org/wiki/Transformer_(deep_learning...

    The number of neurons in the middle layer is called intermediate size (GPT), [55] filter size (BERT), [35] or feedforward size (BERT). [35] It is typically larger than the embedding size. For example, in both GPT-2 series and BERT series, the intermediate size of a model is 4 times its embedding size: =.

  5. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    For example, training of the GPT-2 (i.e. a 1.5-billion-parameters model) in 2019 cost $50,000, while training of the PaLM (i.e. a 540-billion-parameters model) in 2022 cost $8 million, and Megatron-Turing NLG 530B (in 2021) cost around $11 million. [56] For Transformer-based LLM, training cost is much higher than inference cost.

  6. 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. [177] Like its predecessor, [ 167 ] 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 ...

  7. Generative artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Generative_artificial...

    This was followed in 2019 by GPT-2 which demonstrated the ability to generalize unsupervised to many different tasks as a Foundation model. [ 40 ] The new generative models introduced during this period allowed for large neural networks to be trained using unsupervised learning or semi-supervised learning , rather than the supervised learning ...

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  9. GPT2 - Wikipedia

    en.wikipedia.org/wiki/GPT2

    GPT-2, a text generating model developed by OpenAI Topics referred to by the same term This disambiguation page lists articles associated with the same title formed as a letter–number combination.