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GitHub has launched the GPT-4o Copilot model in public preview for Visual Studio Code users. This new code completion model is based on GPT-4o mini and has been trained on over 275,000 high-quality public repositories across 32 programming languages. The model aims to enhance coding efficiency by improving the accuracy of suggestions and overall performance.
Users can easily enable the GPT-4o Copilot model through the Copilot menu in VS Code. The update also includes improvements to GitHub's Issues and Projects features, streamlining issue creation and enhancing workflow efficiency for developers. This release reflects GitHub's commitment to supporting a growing community of 150 million developers on its platform.
• GPT-4o Copilot model enhances coding efficiency for VS Code users.
• GitHub updates streamline issue creation and improve workflow efficiency.
Code completion refers to the feature that suggests code snippets or completions as developers type, enhancing coding speed and accuracy.
RLEF is a training methodology that uses feedback from code execution to improve the model's performance and accuracy in generating code suggestions.
Public preview indicates that the model is available for users to test and provide feedback before the final release.
GitHub is a platform for version control and collaboration, widely used for hosting and managing software development projects, including AI tools like Copilot.
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