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  2. Text-to-image model - Wikipedia

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

    Text-to-image model. An image conditioned on the prompt "an astronaut riding a horse, by Hiroshige ", generated by Stable Diffusion, a large-scale text-to-image model released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.

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

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

    v. t. e. Sora is an upcoming generative artificial intelligence model developed by OpenAI, that specializes in text-to-video generation. The model generates short video clips corresponding to prompts from users. Sora can also extend existing short videos. As of August 2024 it is unreleased and not yet available to the public.

  4. DALL-E - Wikipedia

    en.wikipedia.org/wiki/DALL-E

    DALL·E, DALL·E 2, and DALL·E 3 are text-to-image models developed by OpenAI using deep learning methodologies to generate digital images from natural language descriptions known as "prompts". The first version of DALL-E was announced in January 2021. In the following year, its successor DALL-E 2 was released. DALL·E 3 was released natively ...

  5. Captions (app) - Wikipedia

    en.wikipedia.org/wiki/Captions_(app)

    Captions. Captions is a video-editing app for iOS, Android, Web and desktop. It offers a suite of artificial intelligence tools aimed at streamlining the creation of narrated videos in which social media content creators directly interact with an audience through the camera. Captions automates common production tasks including captioning ...

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    You can find instant answers on our AOL Mail help page. Should you need additional assistance we have experts available around the clock at 800-730-2563.

  7. Attention (machine learning) - Wikipedia

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

    An image captioning model was proposed in 2015, citing inspiration from the seq2seq model. [ 17 ] that would encode an input image into a fixed-length vector. (Xu et al 2015), [ 18 ] citing (Bahdanau et al 2014), [ 19 ] applied the attention mechanism as used in the seq2seq model to image captioning.

  8. History of artificial neural networks - Wikipedia

    en.wikipedia.org/wiki/History_of_artificial...

    An image captioning model was proposed in 2015, citing inspiration from the seq2seq model. [ 140 ] that would encode an input image into a fixed-length vector. (Xu et al 2015), [ 141 ] citing (Bahdanau et al 2014) [ 142 ] , applied the attention mechanism as used in the seq2seq model to image captioning.

  9. Subtitles - Wikipedia

    en.wikipedia.org/wiki/Subtitles

    From the expression "closed captions", the word "caption" has in recent years come to mean a subtitle intended for the deaf or hard-of-hearing, be it "open" or "closed". In British English, "subtitles" usually refers to subtitles for the deaf or hard-of-hearing (SDH); however, the term "SDH" is sometimes used when there is a need to make a ...