OpenAI has released a 35-page paper on Codex (the model that powers GitHub Copilot)!
arxiv.org/abs/2107.03374
"We fine-tune GPT models containing up to 12B parameters on code to produce Codex."

They note that GitHub Copilot and the upcoming OpenAI API for the model is powered by descendants of the one in this paper.
They introduce a new dataset of Python programming problems in order to evaluate their models:
github.com/openai/human-e…
They report performance by measuring whether or not any one of the k samples pass the unit test for the problem:
They also demonstrate some other interesting applications of Codex like docstring generation. They also provide discussion regarding some of the limitations of the model, like bias, security implications, and legal implications.

Very interesting work!

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More from @iScienceLuvr

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