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  2. OpenAI Codex - Wikipedia

    en.wikipedia.org/wiki/OpenAI_Codex

    OpenAI Codex is an artificial intelligence model developed by OpenAI. It parses natural language and generates code in response. It powers GitHub Copilot, a programming autocompletion tool for select IDEs, like Visual Studio Code and Neovim. [1] Codex is a descendant of OpenAI's GPT-3 model, fine-tuned for use in programming applications.

  3. GitHub Copilot - Wikipedia

    en.wikipedia.org/wiki/GitHub_Copilot

    GitHub Copilot is a code completion tool developed by GitHub and OpenAI that assists users of Visual Studio Code, Visual Studio, Neovim, and JetBrains integrated development environments (IDEs) by autocompleting code. [ 1] Currently available by subscription to individual developers and to businesses, the generative artificial intelligence ...

  4. List of commercial video games with available source code

    en.wikipedia.org/wiki/List_of_commercial_video...

    In August 2014 the source code for the game's X-Ray Engine 1.5.10 became available on GitHub under a non-open-source license. [219] The successor's engine, X-ray 1.6.02, became available too. [ 220 ] [ 221 ] As of October 2019 the xray-16 engine community fork, "OpenXRay", achieved compiling state and support for the two games Call of Pripyat ...

  5. OpenAI upgrades its natural language AI coder Codex and ... - AOL

    www.aol.com/news/openai-upgrades-natural...

    OpenAI has already made some big changes to Codex, the AI-powered coding assistant the company announced last month. The system now accepts commands in plain English and outputs live, working code ...

  6. OpenAI - Wikipedia

    en.wikipedia.org/wiki/OpenAI

    Announced in mid-2021, Codex is a descendant of GPT-3 that has additionally been trained on code from 54 million GitHub repositories, [193] [194] and is the AI powering the code autocompletion tool GitHub Copilot. [194]

  7. Generative pre-trained transformer - Wikipedia

    en.wikipedia.org/wiki/Generative_pre-trained...

    Generative pretraining (GP) was a long-established concept in machine learning applications. [16] [17] [18] It was originally used as a form of semi-supervised learning, as the model is trained first on an unlabelled dataset (pretraining step) by learning to generate datapoints in the dataset, and then it is trained to classify a labelled dataset.

  8. Ilya Sutskever - Wikipedia

    en.wikipedia.org/wiki/Ilya_Sutskever

    Ilya Sutskever. Ilya Sutskever FRS (born 1985/86 [ 4]) is a computer scientist who specializes in machine learning. [ 1] Sutskever has made several major contributions to the field of deep learning. [ 7][ 8][ 9] He is notably the co-inventor, with Alex Krizhevsky and Geoffrey Hinton, of AlexNet, a convolutional neural network. [ 10]

  9. GPT-3 - Wikipedia

    en.wikipedia.org/wiki/GPT-3

    GPT-3, specifically the Codex model, is the basis for GitHub Copilot, a code completion and generation software that can be used in various code editors and IDEs. [38] [39] GPT-3 is used in certain Microsoft products to translate conventional language into formal computer code. [40] [41]