UKGovernmentBEIS/inspect_evals
Aug 2025 – Aug 2025
1 Month active
Languages Used
MarkdownPython
Technical Skills
API IntegrationLLM IntegrationModel ConfigurationPythonSoftware Design
Amritanshu Prasad
PROFILE
Amritanshu Prasad
Worked on enhancing model governance and configurability within the UKGovernmentBEIS/inspect_evals repository by implementing explicit LLM model role selection for rater, judger, and chat components in the GDM Stealth evaluation workflow. Refactored the evaluation logic to operate directly on Model objects rather than model names, increasing flexibility and supporting more rigorous experimentation. Updated documentation and command-line interface examples to improve onboarding and clarify usage patterns. Leveraged Python for core development, focusing on API integration, LLM integration, and model configuration. These changes improved traceability, reproducibility, and efficiency when evaluating models in production-like settings, reducing risk during model interchange.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
234
Activity Months1
Your Network
116 peopleShared Repositories
116
Work History
August 2025
1 Commits • 1 Features
Aug 1, 2025Monthly Summary for 2025-08: Focused on enhancing model governance and configurability in the GDM Stealth evaluation workflow within UKGovernmentBEIS/inspect_evals. Delivered explicit LLM model role selection for rater, judger, and chat, with CLI support and updated documentation. Refactored evaluation code to operate on Model objects directly rather than model names, enabling flexible model interchange and improved reproducibility. Documentation updates cover usage patterns, examples, and governance considerations. The change-set is embodied in commit 44625d34006ca6eb5d950c1242ce4c8d34018760, adding the ability to select specific rater and success judger models (#447). Impact: improved configurability, traceability, and efficiency for evaluating models in production-like settings; reduces risk when swapping models and supports more rigorous experimentation.
1 Commits • 1 Features
Aug 1, 2025Monthly Summary for 2025-08: Focused on enhancing model governance and configurability in the GDM Stealth evaluation workflow within UKGovernmentBEIS/inspect_evals. Delivered explicit LLM model role selection for rater, judger, and chat, with CLI support and updated documentation. Refactored evaluation code to operate on Model objects directly rather than model names, enabling flexible model interchange and improved reproducibility. Documentation updates cover usage patterns, examples, and governance considerations. The change-set is embodied in commit 44625d34006ca6eb5d950c1242ce4c8d34018760, adding the ability to select specific rater and success judger models (#447). Impact: improved configurability, traceability, and efficiency for evaluating models in production-like settings; reduces risk when swapping models and supports more rigorous experimentation.
August 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance80.0%
AI Usage80.0%
Skills & Technologies
Programming Languages
MarkdownPython
Technical Skills
API IntegrationLLM IntegrationModel ConfigurationPythonSoftware Design
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