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pro vyhledávání: '"Karkevandi, Mohammad Bahrami"'
Large Language Models (LLMs) have demonstrated impressive capabilities in natural language tasks, but their safety and morality remain contentious due to their training on internet text corpora. To address these concerns, alignment techniques have be
Externí odkaz:
http://arxiv.org/abs/2408.02651
With the recent advancement of Large Language Models (LLMs), generating functionally correct code has become less complicated for a wide array of developers. While using LLMs has sped up the functional development process, it poses a heavy risk to co
Externí odkaz:
http://arxiv.org/abs/2401.07031
Autor:
Islam, Nafis Tanveer, Khoury, Joseph, Seong, Andrew, Karkevandi, Mohammad Bahrami, Parra, Gonzalo De La Torre, Bou-Harb, Elias, Najafirad, Peyman
In software development, the predominant emphasis on functionality often supersedes security concerns, a trend gaining momentum with AI-driven automation tools like GitHub Copilot. These tools significantly improve developers' efficiency in functiona
Externí odkaz:
http://arxiv.org/abs/2401.03374