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  2. Text-to-video model - Wikipedia

    en.wikipedia.org/wiki/Text-to-video_model

    Many pedestrians walk about. A text-to-video modelis a machine learning modelthat uses a natural languagedescription as input to produce a videorelevant to the input text.[1] Advancements during the 2020s in the generation of high-quality, text-conditioned videos have largely been driven by the development of video diffusion models.

  3. TensorFlow - Wikipedia

    en.wikipedia.org/wiki/TensorFlow

    TensorFlow is a free and open-source software library for machine learning and artificial intelligence. It can be used across a range of tasks but has a particular focus on training and inference of deep neural networks. [ 3 ][ 4 ] It is one of the two most popular deep learning libraries alongside PyTorch.

  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 ] Currently available by subscription to individual developers and to businesses, the generative ...

  5. Python (programming language) - Wikipedia

    en.wikipedia.org/wiki/Python_(programming_language)

    Python is a multi-paradigm programming language. Object-oriented programming and structured programming are fully supported, and many of their features support functional programming and aspect-oriented programming (including metaprogramming [ 71 ] and metaobjects). [ 72 ] Many other paradigms are supported via extensions, including design by ...

  6. List of model checking tools - Wikipedia

    en.wikipedia.org/wiki/List_of_model_checking_tools

    In 2018, F. Mazzanti and A. Ferrari published a comparison of ten model checkers (namely: CADP, CPN Tools, FDR4, NuSMV /nuXmv, mCRL2, ProB, SPIN, TLA+, UMC, and UPPAAL) on a train supervision problem, taking into account both the user-friendliness of the languages and the performance of the tools.

  7. OpenAI Codex - Wikipedia

    en.wikipedia.org/wiki/OpenAI_Codex

    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 ...

  8. 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.

  9. Keras - Wikipedia

    en.wikipedia.org/wiki/Keras

    Keras is an open-source library that provides a Python interface for artificial neural networks. Keras was first independent software, then integrated into the TensorFlow library, and later supporting more. "Keras 3 is a full rewrite of Keras [and can be used] as a low-level cross-framework language to develop custom components such as layers ...