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OpenAI Codex (powering GitHub Copilot) is a descendant of GPT-3; its training data contains both natural language and billions of lines of source code from publicly available sources, including code in public GitHub repositories.
Codex
Codex
Features

⚙️ Turn comments into code

⭐️ Complete your next line or function in context

🧠 Bring code knowledge to you

💬 Add comments

📝 Rewrite code for efficiency

🌐 Domain-Specific Capabilities

About
Codex

OpenAI Codex is most capable in Python, but it is also proficient in over a dozen languages including JavaScript, Go, Perl, PHP, Ruby, Swift and TypeScript, and even Shell. It has a memory of 14KB for Python code, compared to GPT-3 which has only 4KB—so it can take into account over 3x as much contextual information while performing any task.

GPT-3’s main skill is generating natural language in response to a natural language prompt, meaning the only way it affects the world is through the mind of the reader. OpenAI Codex has much of the natural language understanding of GPT-3, but it produces working code—meaning you can issue commands in English to any piece of software with an API. OpenAI Codex empowers computers to better understand people’s intent, which can empower everyone to do more with computers.

OpenAI Codex is a general-purpose programming model, meaning that it can be applied to essentially any programming task (though results may vary). They have successfully used it for transpilation, explaining code, and refactoring code. But OpenAI know we’ve only scratched the surface of what can be done.

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