microsoft/eureka-ml-insights
Jun 2025 – Jun 2025
1 Month active
Languages Used
JinjaPython
Technical Skills
Configuration ManagementData ProcessingMachine LearningNatural Language ProcessingPrompt EngineeringTemplate Development
Tyler LaBonte
PROFILE
Tyler Labonte
Contributed two major feature enhancements to the microsoft/eureka-ml-insights repository, focusing on improving prompt quality scoring and evaluation workflows. Developed math scoring prompt enhancements by adding a Jinja-compatible positive-judgement example and standardizing terminology across MathVerse and MathVista, which improved clarity and template compatibility. Introduced the V*Bench evaluation pipeline, incorporating a new dataset, a processing pipeline, a Jinja template for answer extraction, and a Python configuration class to streamline evaluation tasks such as data processing, model inference, and prompt preparation. Demonstrated skills in configuration management, data processing, and prompt engineering, delivering well-structured, maintainable solutions within a one-month period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
188
Activity Months1
Your Network
83 peopleSame Organization
@gatech.edu70
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Work History
June 2025
3 Commits • 2 Features
Jun 1, 2025June 2025: Two major feature enhancements delivered in microsoft/eureka-ml-insights with a focus on scoring prompt quality and end-to-end evaluation readiness.
3 Commits • 2 Features
Jun 1, 2025June 2025: Two major feature enhancements delivered in microsoft/eureka-ml-insights with a focus on scoring prompt quality and end-to-end evaluation readiness.
June 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance93.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
JinjaPython
Technical Skills
Configuration ManagementData ProcessingMachine LearningNatural Language ProcessingPrompt EngineeringTemplate Development
Repositories Contributed To
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