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  2. 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 ...

  3. Neural network (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Neural_network_(machine...

    v. t. e. In machine learning, a neural network (also artificial neural network or neural net, abbreviated ANN or NN) is a model inspired by the structure and function of biological neural networks in animal brains. [ 1][ 2] An ANN consists of connected units or nodes called artificial neurons, which loosely model the neurons in the brain.

  4. Google DeepMind - Wikipedia

    en.wikipedia.org/wiki/Google_DeepMind

    Google DeepMind Technologies Limited is a British-American artificial intelligence research laboratory which serves as a subsidiary of Google. Founded in the UK in 2010, it was acquired by Google in 2014 [ 6] and merged with Google AI 's Google Brain division to become Google DeepMind in April 2023. The company is based in London, with research ...

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  6. Foundation model - Wikipedia

    en.wikipedia.org/wiki/Foundation_model

    Foundation model. A foundation model, also known as large AI model, is a machine learning or deep learning model that is trained on broad data such that it can be applied across a wide range of use cases. [ 1] Foundation models have transformed artificial intelligence (AI), powering prominent generative AI applications like ChatGPT. [ 1]

  7. History of artificial intelligence - Wikipedia

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

    v. t. e. The history of artificial intelligence ( AI) began in antiquity, with myths, stories and rumors of artificial beings endowed with intelligence or consciousness by master craftsmen. The seeds of modern AI were planted by philosophers who attempted to describe the process of human thinking as the mechanical manipulation of symbols.

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  9. Attention (machine learning) - Wikipedia

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

    Attention is a machine learning method that determines the relative importance of each component in a sequence relative to all of the others. In natural language processing, importance is represented by "soft" weight values assigned to each word in a sentence relative to the other words. More generally, attention encodes vector representations ...