embeddings-benchmark/mteb
Jul 2025 – Jul 2025
1 Month active
Languages Used
Python
Technical Skills
API DevelopmentBackend DevelopmentComputer VisionDeep LearningMachine LearningModel Integration
Mohammad Kalim Akram
PROFILE
Mohammad Kalim Akram
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
296
Activity Months1
Your Network
95 people
Work History
July 2025
2 Commits • 1 Features
Jul 1, 2025July 2025 monthly performance summary for embeddings-benchmark/mteb: Delivered multimodal embedding capabilities by integrating Jina Embeddings v4, enabling image embeddings alongside text within MTEB; refactored batch size handling and updated error messages to support multimodal inputs. Fixed critical passage-based prompt handling in JinaV4Wrapper to ensure correct input processing for passage retrieval tasks. These changes broaden modality coverage, improve reliability of embedding generation, and streamline multimodal benchmark workflows for faster iteration and decision-making.
2 Commits • 1 Features
Jul 1, 2025July 2025 monthly performance summary for embeddings-benchmark/mteb: Delivered multimodal embedding capabilities by integrating Jina Embeddings v4, enabling image embeddings alongside text within MTEB; refactored batch size handling and updated error messages to support multimodal inputs. Fixed critical passage-based prompt handling in JinaV4Wrapper to ensure correct input processing for passage retrieval tasks. These changes broaden modality coverage, improve reliability of embedding generation, and streamline multimodal benchmark workflows for faster iteration and decision-making.
July 2025
Activity
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Quality Metrics
Correctness85.0%
Maintainability80.0%
Architecture85.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
API DevelopmentBackend DevelopmentComputer VisionDeep LearningMachine LearningModel IntegrationNatural Language Processing
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