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  3. 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. Codex is a descendant of OpenAI's GPT-3 model, fine-tuned for use in programming applications.

  4. GitHub Copilot - Wikipedia

    en.wikipedia.org/wiki/GitHub_Copilot

    1.7.4421. Operating system. Microsoft Windows, Linux, macOS, Web. Website. copilot.github.com. 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]

  5. Automatic programming - Wikipedia

    en.wikipedia.org/wiki/Automatic_programming

    Modern programming languages are well supported by tools like Json4Swift and Json2Kotlin . Programs that could generate COBOL code include: the DYL250/DYL260/DYL270/DYL280 series; Business Controls Corporation's SB-5; Peat Marwick Mitchell's PMM2170 application-program-generator package

  6. GPT-3 - Wikipedia

    en.wikipedia.org/wiki/GPT-3

    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]

  7. List of programming languages for artificial intelligence

    en.wikipedia.org/wiki/List_of_programming...

    Historically, some programming languages have been specifically designed for artificial intelligence (AI) applications. Nowadays, many general-purpose programming languages also have libraries that can be used to develop AI applications.

  8. ELIZA - Wikipedia

    en.wikipedia.org/wiki/ELIZA

    ELIZA. ELIZA is an early natural language processing computer program developed from 1964 to 1967 [1] at MIT by Joseph Weizenbaum. [2] [3] Created to explore communication between humans and machines, ELIZA simulated conversation by using a pattern matching and substitution methodology that gave users an illusion of understanding on the part of ...

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