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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 artificial intelligence capable of generating text, images, videos, or other data using generative models, [2] often in response to prompts. [3] [4] Generative AI models learn the patterns and structure of their input training data and then generate new data that has ...

  3. Artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence

    Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and uses learning and intelligence to take actions that maximize their chances of achieving defined goals.

  4. Midjourney - Wikipedia

    en.wikipedia.org/wiki/Midjourney

    Midjourney is a generative artificial intelligence program and service created and hosted by the San Francisco –based independent research lab Midjourney, Inc. Midjourney generates images from natural language descriptions, called prompts, similar to OpenAI 's DALL-E and Stability AI 's Stable Diffusion. [1] [2] It is one of the technologies ...

  5. Google’s generative AI fails 'could slowly erode our ... - AOL

    www.aol.com/finance/google-generative-ai-fails...

    Google's generative AI flubs could erode consumer trust in the company that's synonymous with finding accurate information online. ... coupled with Google’s disastrous Gemini image generator ...

  6. Hugo (software) - Wikipedia

    en.wikipedia.org/wiki/Hugo_(software)

    Hugo (software) Hugo is a static site generator written in Go. Steve Francia [4] originally created Hugo as an open source project in 2013. Since v0.14 in 2015, [5] Hugo has continued development under the lead of Bjørn Erik Pedersen with other contributors. Hugo is licensed under the Apache License 2.0.

  7. Generative pre-trained transformer - Wikipedia

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

    History Initial developments. Generative pretraining (GP) was a long-established concept in machine learning applications. 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.

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