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  2. Transformer (deep learning architecture) - Wikipedia

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

    Transformer architecture is now used in many generative models that contribute to the ongoing AI boom. In language modelling, ELMo (2018) was a bi-directional LSTM that produces contextualized word embeddings, improving upon the line of research from bag of words and word2vec. It was followed by BERT (2018), an encoder-only Transformer model. [35]

  3. Attention Is All You Need - Wikipedia

    en.wikipedia.org/wiki/Attention_Is_All_You_Need

    Transformer architecture is now used in many generative models that contribute to the ongoing AI boom. In language modelling, ELMo (2018) was a bi-directional LSTM that produces contextualized word embeddings, improving upon the line of research from bag of words and word2vec. It was followed by BERT (2018), an encoder-only Transformer model. [33]

  4. Generative pre-trained transformer - Wikipedia

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

    That development led to the emergence of large language models such as BERT (2018) [28] which was a pre-trained transformer (PT) but not designed to be generative (BERT was an "encoder-only" model). Also in 2018, OpenAI published Improving Language Understanding by Generative Pre-Training , which introduced GPT-1 , the first in its GPT series.

  5. Asus Eee Pad Transformer TF101 - Wikipedia

    en.wikipedia.org/wiki/Asus_Eee_Pad_Transformer_TF101

    The Asus Eee Pad Transformer TF101 is a 2-in-1 detachable tablet developed by Asus that runs the Android operating system. It is the first tablet in the Asus Transformer Pad series. The Eee Pad Transformer features a 10.1-inch (260 mm) display, an Nvidia Tegra 2 dual-core chip, 1 GB of RAM , and 16 or 32 GB of storage. [ 4 ]

  6. 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]

  7. BERT (language model) - Wikipedia

    en.wikipedia.org/wiki/BERT_(language_model)

    Bidirectional encoder representations from transformers (BERT) is a language model introduced in October 2018 by researchers at Google. [1] [2] It learns to represent text as a sequence of vectors using self-supervised learning.

  8. XLNet - Wikipedia

    en.wikipedia.org/wiki/XLNet

    The XLNet was an autoregressive Transformer designed as an improvement over BERT, with 340M parameters and trained on 33 billion words.It was released on 19 June, 2019, under the Apache 2.0 license. [1]

  9. Asus Transformer - Wikipedia

    en.wikipedia.org/wiki/Asus_Transformer

    The ASUS Transformer Book T100TA is a tablet computer and docking keyboard. The tablet includes an Intel Atom Z3740 Quad Core processor running at 1.33 GHz, 2 GB RAM, 32 GB or 64 GB eMMC flash memory and a 10.1" HD touchscreen.