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  2. Brave (web browser) - Wikipedia

    en.wikipedia.org/wiki/Brave_(web_browser)

    The "Basic Attention Token" (BAT) is a cryptocurrency token based on Ethereum, created for use in an open-source, decentralized ad exchange platform and as a cryptocurrency. [99] It is based on the ERC-20 standard. In an initial coin offering on 31 May 2017, Brave sold one billion BAT for a total of 156,250 Ethereum ($35 million) in less than ...

  3. 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 ...

  4. Attention Is All You Need - Wikipedia

    en.wikipedia.org/wiki/Attention_Is_All_You_Need

    For many years, sequence modelling and generation was done by using plain recurrent neural networks (RNNs). A well-cited early example was the Elman network (1990). In theory, the information from one token can propagate arbitrarily far down the sequence, but in practice the vanishing-gradient problem leaves the model's state at the end of a long sentence without precise, extractable ...

  5. Basic Attention Token - Wikipedia

    en.wikipedia.org/?title=Basic_Attention_Token&...

    With possibilities: This is a redirect from a title that is in draft namespace at Draft:Basic Attention Token, so please do not create an article from this redirect (unless moving a ready draft here). You are welcome to improve the draft article while it is being considered for inclusion in article namespace. If the draft link is a redirect ...

  6. Attention (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Attention_(machine_learning)

    Attention is a machine learning method that determines the relative importance of each component in a sequence relative to the other components in that sequence. In natural language processing, importance is represented by "soft" weights assigned to each word in a sentence. More generally, attention encodes vectors called token embeddings ...

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  8. Vision transformer - Wikipedia

    en.wikipedia.org/wiki/Vision_transformer

    An input image is divided into patches, each of which is linearly mapped through a patch embedding layer, before entering a standard Transformer encoder. A vision transformer (ViT) is a transformer designed for computer vision. [1] A ViT breaks down an input image into a series of patches (rather than breaking up text into tokens), serialises ...

  9. GPT-4o - Wikipedia

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

    openai.com /index /hello-gpt-4o. GPT-4o ("o" for "omni") is a multilingual, multimodal generative pre-trained transformer developed by OpenAI and released in May 2024. [1] GPT-4o is free, but with a usage limit that is five times higher for ChatGPT Plus subscribers. [2] It can process and generate text, images and audio. [3]