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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]
GitHub Copilot was initially powered by the OpenAI Codex, [13] which is a modified, production version of the Generative Pre-trained Transformer 3 (GPT-3), a language model using deep-learning to produce human-like text. [14]
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 TensorFlow.js, Synaptic and Brain.js. [6]
Acceleo is an open-source code generator from the Eclipse Foundation that allows people to use a model-driven approach to building applications. It is an implementation of the " MOFM2T " standard, from the Object Management Group (OMG), for performing model-to-text transformation.
Several code generation DSLs (attribute grammars, tree patterns, source-to-source rewrites) Active DSLs represented as abstract syntax trees DSL instance Well-formed output language code fragments Any programming language (proven for C, C++, Java, C#, PHP, COBOL) gSOAP: C / C++ WSDL specifications
Announced in mid-2021, Codex is a descendant of GPT-3 that has additionally been trained on code from 54 million GitHub repositories, [187] [188] and is the AI powering the code autocompletion tool GitHub Copilot. [188] In August 2021, an API was released in private beta. [189]
Clang front-end released under open-source licence 25 February 2009: Clang/LLVM can compile a working FreeBSD kernel. [32] [33] 16 March 2009: Clang/LLVM can compile a working DragonFly BSD kernel. [34] [35] 23 October 2009: Clang 1.0 released, with LLVM 2.6 for the first time. December 2009: Code generation for C and Objective-C reach ...
Source-code generation is the process of generating source code based on a description of the problem [9] or an ontological model such as a template and is accomplished with a programming tool such as a template processor or an integrated development environment (IDE). These tools allow the generation of source code through any of various means.