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  2. List of Roblox games - Wikipedia

    en.wikipedia.org/wiki/List_of_Roblox_games

    Blox Fruits (formerly known as Blox Piece), is an action fighting game created by Gamer Robot that is inspired by the manga and anime One Piece. [157] In the game, players choose to be a master swordsman, a powerful fruit user, a martial arts attacker or a gun user as they sail across the seas alone or in a team in search of various worlds and ...

  3. Roblox - Wikipedia

    en.wikipedia.org/wiki/ROBLOX

    Roblox (/ ˈ r oʊ b l ɒ k s / ⓘ, ROH-bloks) is an online game platform and game creation system developed by Roblox Corporation that allows users to program and play games created by themselves or other users.

  4. 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.

  5. Roblox Corporation - Wikipedia

    en.wikipedia.org/wiki/Roblox_Corporation

    Roblox Corporation has been ranked on Pocket Gamer.biz ' s top lists of mobile game developers, placing sixth in 2018, [30] eighth in 2019, [31] and sixth in 2020. [32] Fortune featured it as one of the best small and medium-sized workplaces in the San Francisco Bay Area, placing it sixteenth in 2019 and fortieth in 2021.

  6. Talk:Blox Fruits - Wikipedia

    en.wikipedia.org/wiki/Talk:Blox_Fruits

    This redirect is within the scope of WikiProject Video games, a collaborative effort to improve the coverage of video games on Wikipedia. If you would like to participate, please visit the project page, where you can join the discussion and see a list of open tasks. Video games Wikipedia:WikiProject Video games Template:WikiProject Video games ...

  7. Transformer (deep learning architecture) - Wikipedia

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

    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 ...

  8. Contrastive Language-Image Pre-training - Wikipedia

    en.wikipedia.org/wiki/Contrastive_Language-Image...

    The rationale was that these are the mean and standard deviations of the images in the WebImageText dataset, so this preprocessing step roughly whitens the image tensor. These numbers slightly differ from the standard preprocessing for ImageNet, which uses [0.485, 0.456, 0.406] and [0.229, 0.224, 0.225]. [25]

  9. GPT - Wikipedia

    en.wikipedia.org/wiki/GPT

    This page was last edited on 10 January 2025, at 18:59 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may apply.