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  2. Generative artificial intelligence - Wikipedia

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

    Generative artificial intelligence (generative AI, GenAI, [1] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data.

  3. DreamBooth - Wikipedia

    en.wikipedia.org/wiki/DreamBooth

    Depicted here are algorithmically generated images of Jimmy Wales, co-founder of Wikipedia, performing bench press exercises at a fitness gym. DreamBooth is a deep learning generation model used to personalize existing text-to-image models by fine-tuning. It was developed by researchers from Google Research and Boston University in 2022.

  4. GitHub - Wikipedia

    en.wikipedia.org/wiki/Github

    GitHub (/ ˈ ɡ ɪ t h ʌ b /) is a proprietary developer platform that allows developers to create, store, manage, and share their code. It uses Git to provide distributed version control and GitHub itself provides access control, bug tracking, software feature requests, task management, continuous integration, and wikis for every project. [8]

  5. Transformer (deep learning architecture) - Wikipedia

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

    For image generation, notable architectures are DALL-E 1 (2021), Parti (2022), [109] Phenaki (2023), [110] and Muse (2023). [111] Unlike later models, DALL-E is not a diffusion model. Instead, it uses a decoder-only Transformer that autoregressively generates a text, followed by the token representation of an image, which is then converted by a ...

  6. Deepfake - Wikipedia

    en.wikipedia.org/wiki/Deepfake

    The generator creates new images from the latent representation of the source material, while the discriminator attempts to determine whether or not the image is generated. [ citation needed ] This causes the generator to create images that mimic reality extremely well as any defects would be caught by the discriminator. [ 65 ]

  7. Deep Learning Studio - Wikipedia

    en.wikipedia.org/wiki/Deep_Learning_Studio

    Deep Learning Studio is a software tool that aims to simplify the creation of deep learning models used in artificial intelligence. [1] It is compatible with a number of open-source programming frameworks popularly used in artificial neural networks, including MXNet and Google's TensorFlow.

  8. Markdown - Wikipedia

    en.wikipedia.org/wiki/Markdown

    In 2017, GitHub released a formal specification of its GitHub Flavored Markdown (GFM) that is based on CommonMark. [32] It is a strict superset of CommonMark, following its specification exactly except for tables, strikethrough , autolinks and task lists, which GFM adds as extensions.

  9. Template generator - Wikipedia

    en.wikipedia.org/wiki/Template_generator

    Users must be online and make an account to begin using an online template generator, and sign in each time they use the tool. [2] Desktop template generators or desktop-based template generators, unlike online, have to be downloaded onto the user's computer. However, this eliminates the need to make an account and sign in before using the tool ...