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  2. OpenAI Codex - Wikipedia

    en.wikipedia.org/wiki/OpenAI_Codex

    A very powerful language model called OpenAI Codex was created expressly to generate code in response to natural language commands. It is capable of understanding and producing code in a multitude of areas because it is compatible with a large number of programming languages and libraries.

  3. Oasis (Minecraft clone) - Wikipedia

    en.wikipedia.org/wiki/Oasis_(Minecraft_clone)

    Decart released the game to the public for free on October 31, 2024, claiming it as the first AI-powered open-world model game. [3] The AI replicates Minecraft 's gameplay without code using "next-frame prediction", in which the AI tries to predict what the player will see after each keyboard and mouse input, which it was trained to do on ...

  4. GitHub Copilot - Wikipedia

    en.wikipedia.org/wiki/GitHub_Copilot

    GitHub Copilot is a code completion and automatic programming 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. List of programming languages for artificial intelligence

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

    C++ is a compiled language that can interact with low-level hardware. In the context of AI, it is particularly used for embedded systems and robotics. Libraries such as TensorFlow C++, Caffe or Shogun can be used. [1] JavaScript is widely used for web applications and can notably be executed with web browsers. Libraries for AI include ...

  6. Comparison of code generation tools - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_code...

    Java Active Tier Java and automatically introspected project metadata Shell commands Java (Full Web Application including Java source, AspectJ source, XML, JSP, Spring application contexts, build tools, property files, etc.) T4: Passive T4 Template/Text File: Any text format such as XML, XAML, C# files or just plain text files. Umple

  7. TensorFlow - Wikipedia

    en.wikipedia.org/wiki/TensorFlow

    Code executed eagerly can be examined step-by step-through a debugger, since data is augmented at each line of code rather than later in a computational graph. [35] This execution paradigm is considered to be easier to debug because of its step by step transparency.

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  9. Generative artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Generative_artificial...

    Generative AI can also be trained on the motions of a robotic system to generate new trajectories for motion planning or navigation. For example, UniPi from Google Research uses prompts like "pick up blue bowl" or "wipe plate with yellow sponge" to control movements of a robot arm. [ 78 ]