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  2. Comparison of data-serialization formats - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_data...

    Comparison of data-serialization formats. This is a comparison of data serialization formats, various ways to convert complex objects to sequences of bits. It does not include markup languages used exclusively as document file formats .

  3. CodiumAI is using generative AI to help developers build code ...

    techcrunch.com/2023/03/22/codiumai-is-using...

    Image Credits: CodiumAI. Friedman says the solution is using generative AI to build these tests. You simply click the ”Generate Tests” button, and the program automatically analyzes the code ...

  4. Comparison of regular expression engines - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_regular...

    Java Apache java.util.regex Java's User manual: Java GNU GPLv2 with Classpath exception jEdit: JRegex JRegex: Java BSD MATLAB: Regular Expressions: MATLAB Language: Proprietary Oniguruma: Kosako: C BSD Atom, Take Command Console, Tera Term, TextMate, Sublime Text, SubEthaEdit, EmEditor and jq Pattwo Stevesoft Java (compatible with Java 1.0 ...

  5. Name–value pair - Wikipedia

    en.wikipedia.org/wiki/Name–value_pair

    A name–value pair, also called an attribute–value pair, key–value pair, or field–value pair, is a fundamental data representation in computing systems and applications. Designers often desire an open-ended data structure that allows for future extension without modifying existing code or data. In such situations, all or part of the data ...

  6. Meta releases Code Llama, a code-generating AI model

    techcrunch.com/2023/08/24/meta-releases-code...

    Meta claims that the 34 billion-parameter model is the best-performing of any code generator open sourced to date — and the largest by parameter count. You’d think a code-generating tool would ...

  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. Mintlify uses AI to generate documentation from code - TechCrunch

    techcrunch.com/2022/05/30/mintlify-taps-ai-to...

    Mintlify taps AI to automatically generate documentation from code. Mintlify, a startup developing software to automate software documentation tasks, today announced that it raised $2.8 million in ...

  9. Web Application Description Language - Wikipedia

    en.wikipedia.org/wiki/Web_Application...

    The Web Application Description Language ( WADL) is a machine-readable XML description of HTTP -based web services. [1] WADL models the resources provided by a service and the relationships between them. [1] WADL is intended to simplify the reuse of web services that are based on the existing HTTP architecture of the Web.