NVIDIA/garak
Jan 2025 – Jan 2025
1 Month active
Languages Used
Python
Technical Skills
AI SafetyPrompt EngineeringRed Teaming
katherine-luna
PROFILE
Katherine-luna
Worked on the NVIDIA/garak repository to enhance AI safety evaluation through targeted improvements in red-teaming prompt design. Developed and integrated a comprehensive set of red-teaming guidelines directly into the system prompt, using Python to ensure clarity and consistency in risk assessment. Added four detailed examples demonstrating the application of the rating system to various AI responses, which improved the transparency and reliability of the judging process. Focused on prompt engineering and red teaming methodologies, the work laid a foundation for future governance features. No bugs were addressed during this period, with efforts concentrated on feature refinement and thorough documentation.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
23
Activity Months1
Your Network
1875 peopleSame Organization
@nvidia.com1809
Work History
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for NVIDIA/garak: Focused on strengthening red-teaming safety evaluation by delivering targeted prompt design improvements. Implemented Red Teaming Guidelines and Rating Examples: updated the system prompt to include a comprehensive safety guideline set and added four examples illustrating how the rating system should be applied to different AI responses. This enhances the clarity and effectiveness of the red-teaming judging process, improves consistency in risk assessment, and lays groundwork for future governance features. No major bugs fixed this month; maintenance centered on feature refinement and documentation. Demonstrated strengths in prompt engineering, risk-aware software development, and commits traceability (5c32df17043d9153eab7dcd6fadccce50de17a2f).
1 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for NVIDIA/garak: Focused on strengthening red-teaming safety evaluation by delivering targeted prompt design improvements. Implemented Red Teaming Guidelines and Rating Examples: updated the system prompt to include a comprehensive safety guideline set and added four examples illustrating how the rating system should be applied to different AI responses. This enhances the clarity and effectiveness of the red-teaming judging process, improves consistency in risk assessment, and lays groundwork for future governance features. No major bugs fixed this month; maintenance centered on feature refinement and documentation. Demonstrated strengths in prompt engineering, risk-aware software development, and commits traceability (5c32df17043d9153eab7dcd6fadccce50de17a2f).
January 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
AI SafetyPrompt EngineeringRed Teaming
Repositories Contributed To
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