Post by account_disabled on Mar 11, 2024 4:41:32 GMT -5
GitHub and OpenAI have created an AI-powered virtual assistant to assist developers as they create development code. The algorithms are an evolution of GPT-3 dedicated to this context. Let's find out how it works! Alessio Pomaro Alessio Pomaro July 5, 2021 •4 min read GitHub and OpenAI introduce Copilot AI Assistant for writing code What is GitHub Copilot? This is a new virtual assistant that will help developers write code when creating software, taking advantage of artificial intelligence . The system is based on Codex , which is an improved version of OpenAI's well-known GPT-3 language model dedicated to collaboration in a development project.
How does it work? GitHub Copilot takes the concept of natural language processing (NLP) and India Mobile Number Data applies it to the domain of programming languages . The idea is to imitate an agile software development technique called " pair programming ", which consists of two developers in the same workstation: one of the two leads the development and writes the code, while the other supervises and reviews in real time . The AI takes the role of the observer, and through Codex tries to understand the " driving " developer's goals , providing suggestions for completing them. Like GPT-3, Codex is built on a huge collection of data to teach AI how to intervene on the code.
The system learns from suggestions that the human user accepts or rejects , refining its knowledge and ideally offering increasingly better code ideas. GitHub Copilot understands context from the code you're working on, suggesting lines of code or entire functions, GitHub CEO Nat Friedman explained in a blog post introducing the new tool. And goes on.. It helps you quickly discover alternative ways to solve problems, implement tests, and explore new APIs without having to tediously adapt a solution found on the web. As you type, it adapts to the way you write code , to help you complete your work faster.
How does it work? GitHub Copilot takes the concept of natural language processing (NLP) and India Mobile Number Data applies it to the domain of programming languages . The idea is to imitate an agile software development technique called " pair programming ", which consists of two developers in the same workstation: one of the two leads the development and writes the code, while the other supervises and reviews in real time . The AI takes the role of the observer, and through Codex tries to understand the " driving " developer's goals , providing suggestions for completing them. Like GPT-3, Codex is built on a huge collection of data to teach AI how to intervene on the code.
The system learns from suggestions that the human user accepts or rejects , refining its knowledge and ideally offering increasingly better code ideas. GitHub Copilot understands context from the code you're working on, suggesting lines of code or entire functions, GitHub CEO Nat Friedman explained in a blog post introducing the new tool. And goes on.. It helps you quickly discover alternative ways to solve problems, implement tests, and explore new APIs without having to tediously adapt a solution found on the web. As you type, it adapts to the way you write code , to help you complete your work faster.