Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
SEEDGuard.AI is an open-source library and initiative focused on building high-quality data to enable trustworthy AI in software engineering. It addresses data quality issues in the AI-for-SE/Code domain and offers components such as SEEDProtector (defense against data poisoning), SEEDInspector (data quality assessment), and SEEDAugmentor (data augmentation). Developed by NC State University researchers and global experts, SEEDGuard.AI aims to serve researchers and practitioners, especially those working with large language models, and invites community contributions.
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