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  2. List of artificial intelligence projects - Wikipedia

    en.wikipedia.org/wiki/List_of_artificial...

    1 the Road, the first novel marketed by an AI. [76] AlphaFold is a deep learning based system developed by DeepMind for prediction of protein structure. [77] Otter.ai is a speech-to-text synthesis and summary platform, which allows users to record online meetings as text. It additionally creates live captions during meetings.

  3. 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 ]

  4. 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. [ 2 ] [ 3 ] [ 4 ] These models learn the underlying patterns and structures of their training data and use them to produce new data [ 5 ] [ 6 ] based on ...

  5. Midjourney - Wikipedia

    en.wikipedia.org/wiki/Midjourney

    Théâtre D'opéra Spatial, a Midjourney image that won first prize in a digital art competition Image from Alice and Sparkle, a children's book illustrated by Midjourney. Time describes this image as "showing the limits of the AI-powered technology. The illustration has several apparent flaws, including the character appearing to have claws."

  6. What OpenAI’s growing focus on product design tells us about ...

    www.aol.com/finance/openai-growing-focus-product...

    Big Tech companies with cloud computing arms like Amazon, Google, and Microsoft offer entire platforms that businesses can use to easily deploy AI models, customize models with their own data, and ...

  7. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    Concretely, one can construct an LLM that can understand images as follows: take a trained LLM, and take a trained image encoder . Make a small multilayered perceptron , so that for any image , the post-processed vector (()) has the same dimensions as an encoded token. That is an "image token".

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