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  2. Deep learning - Wikipedia

    en.wikipedia.org/wiki/Deep_learning

    How deep learning is a subset of machine learning and how machine learning is a subset of artificial intelligence (AI) In the late 2000s, deep learning started to outperform other methods in machine learning competitions.

  3. 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 ...

  4. Comparison of deep learning software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_deep...

    1 Deep-learning software by name. 2 Comparison of compatibility of machine learning models. 3 See also. ... Vertex.AI, Intel: 2017 Apache 2.0: Yes Linux, macOS, Windows:

  5. 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 ...

  6. 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 a brain.

  7. GPT-3 - Wikipedia

    en.wikipedia.org/wiki/GPT-3

    v. t. e. Generative Pre-trained Transformer 3 ( GPT-3) is a large language model released by OpenAI in 2020. Like its predecessor, GPT-2, it is a decoder-only [2] transformer model of deep neural network, which supersedes recurrence and convolution-based architectures with a technique known as "attention". [3]

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