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  2. Comparison of code generation tools - Wikipedia

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

    T4 Template/Text File: Any text format such as XML, XAML, C# files or just plain text files. Umple: Umple, Java, Javascript, PHP Active Tier Umple code embedding one or more of Java, Python, C++, PHP or Ruby Pure Umple code describing associations, patterns, state machines, etc.

  3. IronPython - Wikipedia

    en.wikipedia.org/wiki/IronPython

    IronPython is written entirely in C#, although some of its code is automatically generated by a code generator written in Python. IronPython is implemented on top of the Dynamic Language Runtime (DLR), a library running on top of the Common Language Infrastructure that provides dynamic typing and dynamic method dispatch, among other things, for ...

  4. Randomness extractor - Wikipedia

    en.wikipedia.org/wiki/Randomness_extractor

    A randomness extractor, often simply called an "extractor", is a function, which being applied to output from a weak entropy source, together with a short, uniformly random seed, generates a highly random output that appears independent from the source and uniformly distributed.

  5. Generator (computer programming) - Wikipedia

    en.wikipedia.org/wiki/Generator_(computer...

    In computer science, a generator is a routine that can be used to control the iteration behaviour of a loop.All generators are also iterators. [1] A generator is very similar to a function that returns an array, in that a generator has parameters, can be called, and generates a sequence of values.

  6. GPT-4 - Wikipedia

    en.wikipedia.org/wiki/GPT-4

    The next year, they introduced GPT-2, a larger model that could generate coherent text. [10] In 2020, they introduced GPT-3, a model with over 100 times as many parameters as GPT-2, that could perform various tasks with few examples. [11] GPT-3 was further improved into GPT-3.5, which was used to create the chatbot product ChatGPT.

  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. Boilerplate code - Wikipedia

    en.wikipedia.org/wiki/Boilerplate_code

    The need for boilerplate can be reduced through high-level mechanisms such as metaprogramming (which has the computer automatically write the needed boilerplate code or insert it at compile time), convention over configuration (which provides good default values, reducing the need to specify program details in every project) and model-driven ...

  9. QR code - Wikipedia

    en.wikipedia.org/wiki/QR_Code

    The QR code system was invented in 1994, at the Denso Wave automotive products company, in Japan. [5] [6] [7] The initial alternating-square design presented by the team of researchers, headed by Masahiro Hara, was influenced by the black counters and the white counters played on a Go board; [8] the pattern of position detection was found and determined by applying the least-used ratio (1:1:3 ...