OpenAI technology, based on GPT-3, is already in use by GitHub Copilot.
OpenAI Codex API launched in private beta
OpenAI announces the launch of the Codex API. The goal: to allow developers to quickly create lines of code using natural language instructions.
OpenAI Codex 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.
As input, the API supports natural language instructions formulated in English. As output, an API can offer lines of code and sometimes complex functions. The OpenAI Codex is particularly suitable for Python developers, but 12 languages are supported including JavaScript, Go, Perl, PHP, Ruby, Swift, TypeScript, and Shell. Interested developers can join the Codex API queue by describing their projects. The technology is now available in private beta.
The opportunities offered by artificial intelligence
OpenAI has released a 30-minute video demonstrating the capabilities of the Codex API.
The organization specifies that its technology can be used in many cases, such as concatenating a complex problem into a series of simpler instructions and solving these problems through the use of already designed libraries, APIs, or functions. OpenAI says the Codex API can be used to compile, annotate, or factorize code, but it believes the potential of its technology is much greater.
Going forward, you can consult OpenAI blog post. In particular, you will discover practical cases, such as developing a basic game using only natural language instructions, with the help of the Codex API, as well as other interesting situations for data science or Ruby/transformation. Python.
The private trial is free, however the technology must be paid when it is offered in a stable version.
Technology used by GitHub Copilot
OpenAI’s Codex technology, which powers GPT-3, is at the heart of the GitHub Copilot. Programming assistant raises controversy. The developers accuse GitHub, and thus OpenAI, of designing a tool that uses their open-source work to train AI and presents bits of code to colleagues to design other programs, some of which will be for profit, without worrying about copyright.
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