EvolvingLMMs-Lab/lmms-eval
May 2025 – May 2025
1 Month active
Languages Used
PythonYAML
Technical Skills
API IntegrationComputer VisionData EvaluationMachine LearningNatural Language ProcessingSoftware Development
lntzm
PROFILE
Lntzm
Developed a capability benchmarking feature set for the EvolvingLMMs-Lab/lmms-eval repository, enabling robust and repeatable evaluation of language model-based capabilities across image and video tasks. The work involved designing and implementing the CAPability Benchmark Task Suite, which included configuration files and prompt definitions for sub-tasks such as object recognition, spatial relations, and scene description. Utility functions were created to process and evaluate results, supporting automation and reproducibility in the evaluation workflow. Leveraging Python and YAML, the solution focused on API integration, computer vision, and data evaluation, aligning with business goals to improve measurement standards and inform product roadmap decisions.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
1,002
Activity Months1
Your Network
89 peopleShared Repositories
89
Work History
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for EvolvingLMMs-Lab/lmms-eval focused on delivering a capability benchmarking feature set that enables robust, repeatable evaluation of LM-based capabilities across image and video tasks. The work aligns with business goals of improving measurement standards, enabling cross-model comparisons, and informing product roadmap decisions through data-driven insights.
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for EvolvingLMMs-Lab/lmms-eval focused on delivering a capability benchmarking feature set that enables robust, repeatable evaluation of LM-based capabilities across image and video tasks. The work aligns with business goals of improving measurement standards, enabling cross-model comparisons, and informing product roadmap decisions through data-driven insights.
May 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance80.0%
AI Usage80.0%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
API IntegrationComputer VisionData EvaluationMachine LearningNatural Language ProcessingSoftware Development
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