UKGovernmentBEIS/inspect_evals
May 2026 – May 2026
1 Month active
Languages Used
MarkdownPythonYAML
Technical Skills
AI safetyPythondata evaluationfull stack development
Matteo Prandi
PROFILE
Matteo Prandi
During May 2026, contributed to the UKGovernmentBEIS/inspect_evals repository by integrating the Adversarial Humanities Benchmark (AHB) into the evaluation register. This work enabled the systematic assessment of language models against adversarial prompts, supporting more robust and governance-ready model comparisons. The integration was implemented using Python and YAML, focusing on data evaluation workflows and full stack development principles. By updating the AHB register pin and ensuring seamless commit-based changes, the contribution enhanced the repository’s evaluation throughput. The work demonstrated depth in AI safety and evaluation infrastructure, addressing the need for comprehensive benchmarking in language model assessment without introducing new bugs.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
109
Activity Months1
Your Network
128 peopleWork History
May 2026
1 Commits • 1 Features
May 1, 2026May 2026 monthly summary for UKGovernmentBEIS/inspect_evals: Delivered the Adversarial Humanities Benchmark (AHB) Integration to the evaluation register, enabling evaluation of language models against adversarial prompts and strengthening assessment capabilities. This integration enhances governance-ready evaluation throughput and supports more robust model comparisons.
1 Commits • 1 Features
May 1, 2026May 2026 monthly summary for UKGovernmentBEIS/inspect_evals: Delivered the Adversarial Humanities Benchmark (AHB) Integration to the evaluation register, enabling evaluation of language models against adversarial prompts and strengthening assessment capabilities. This integration enhances governance-ready evaluation throughput and supports more robust model comparisons.
May 2026
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage80.0%
Skills & Technologies
Programming Languages
MarkdownPythonYAML
Technical Skills
AI safetyPythondata evaluationfull stack development
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