Code intelligence project aims to leverage AI techniques to help software developers improve the productivity of the development process. We focus on building large-scale pre-trained models to ...
OpenAI has finally added Code Interpreter to ChatGPT, the most anticipated feature that opens the door for so many possibilities. After ChatGPT Plugins, people have been waiting for Code Interpreter, ...
As we all know, ChatGPT is a large language model (LLM) that is trained on a wide variety of massive data. It includes data from general knowledge, common sense, reasoning, mathematical problems, ...
Git isn’t hard to learn. Moreover, with a Git GUI such as Atlassian’s Sourcetree, and a SaaS code repository such as Bitbucket, mastery of the industry’s most powerful version control tools is within ...
In his decades-long career in tech journalism, Dennis has written about nearly every type of hardware and software. He was a founding editor of Ziff Davis’ Computer Select in the 1990s, senior ...
The Windows operating system is so huge that you have to wonder what came together to make it look so effortless. As such, it is not surprising that many users want to know exactly how many lines of ...
Accelerate your tech game Paid Content How the New Space Race Will Drive Innovation How the metaverse will change the future of work and society Managing the ...
Microsoft CEO Satya Nadella on Tuesday said that as much as 30% of the company's code is now written by artificial intelligence. Nadella made the comments during a conversation before a live audience ...
During a fireside chat with Meta CEO Mark Zuckerberg at Meta’s LlamaCon conference on Tuesday, Microsoft CEO Satya Nadella said that 20% to 30% of code inside the company’s repositories was “written ...
The use of network meta-analysis (NMA) in sport and exercise medicine (SEM) research continues to rise as it enables the comparison of multiple interventions that may not have been assessed in a ...
Abstract: Adversarial code examples are important to investigate the robustness of deep code models. Existing work on adversarial code example generation has shown promising results yet still falls ...
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