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  2. Sora (text-to-video model) - Wikipedia

    en.wikipedia.org/wiki/Sora_(text-to-video_model)

    Re-captioning is used to augment training data, by using a video-to-text model to create detailed captions on videos. [ 7 ] OpenAI trained the model using publicly available videos as well as copyrighted videos licensed for the purpose, but did not reveal the number or the exact source of the videos. [ 5 ]

  3. Kuki AI - Wikipedia

    en.wikipedia.org/wiki/Kuki_AI

    Kuki is an embodied AI bot designed for usage in the metaverse. [1] Formerly known as Mitsuku, Kuki is a chatbot created from the Pandorabots framework. [2] The bot has won the Loebner Prize 5 times. [3] [4]

  4. Neuro-sama - Wikipedia

    en.wikipedia.org/wiki/Neuro-sama

    Neuro-sama is an AI VTuber and chatbot that livestreams on her creator's Twitch channel "vedal987". Her speech and personality are powered by an artificial intelligence (AI) system which utilizes a large language model, allowing her to communicate with viewers in the stream's chat.

  5. Text-to-video model - Wikipedia

    en.wikipedia.org/wiki/Text-to-video_model

    A text-to-video model is a machine learning model that uses a natural language description as input to produce a video relevant to the input text. [1] Advancements during the 2020s in the generation of high-quality, text-conditioned videos have largely been driven by the development of video diffusion models .

  6. List of fictional gynoids - Wikipedia

    en.wikipedia.org/wiki/List_of_fictional_gynoids

    Although there are a variety of gynoids across genres, this list excludes female cyborgs (e.g. Seven of Nine in Star Trek: Voyager), non-humanoid robots (e.g. EVE from Wall-E), virtual female characters (Dot Matrix and women from the cartoon ReBoot, Simone from Simone, Samantha from Her), holograms (Hatsune Miku in concert, Cortana from Halo ...

  7. Generative artificial intelligence - Wikipedia

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

    Generative AI models can reflect and amplify any cultural bias present in the underlying data. For example, a language model might assume that doctors and judges are male, and that secretaries or nurses are female, if those biases are common in the training data. [127]

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