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  2. Generative artificial intelligence - Wikipedia

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

    Generative AI features have been integrated into a variety of existing commercially available products such as Microsoft Office (Microsoft Copilot), [69] Google Photos, [70] and the Adobe Suite (Adobe Firefly). [71] Many generative AI models are also available as open-source software, including Stable Diffusion and the LLaMA [72] language model.

  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] [18] 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. Transformer (deep learning architecture) - Wikipedia

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

    t. e. A standard Transformer architecture, showing on the left an encoder, and on the right a decoder. Note: it uses the pre-LN convention, which is different from the post-LN convention used in the original 2017 Transformer. A transformer is a deep learning architecture developed by researchers at Google and based on the multi-head attention ...

  5. Google is launching generative AI search in 100 additional ...

    www.aol.com/finance/google-launching-generative...

    November 8, 2023 at 1:01 PM. Google ( GOOG, GOOGL) announced Wednesday that it is expanding its generative AI-powered search platform, Search Generative Experience, to more than 100 countries and ...

  6. Google debuts powerful Gemini generative AI model in strike ...

    www.aol.com/finance/google-debuts-powerful...

    Google ( GOOG, GOOGL) on Wednesday debuted its new Gemini generative AI model. The platform serves as Google’s answer to Microsoft-backed ( MSFT) OpenAI’s GPT-4, and according to DeepMind CEO ...

  7. BERT (language model) - Wikipedia

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

    Apache 2.0. Website. arxiv .org /abs /1810 .04805. Bidirectional Encoder Representations from Transformers ( BERT) is a language model introduced in October 2018 by researchers at Google. [ 1][ 2] It learned by self-supervised learning to represent text as a sequence of vectors. It had the transformer encoder architecture.

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