antvis/GPT-Vis
Nov 2024 – Nov 2024
1 Month active
Languages Used
JSONMarkdownYAML
Technical Skills
AI Prompt EngineeringData EngineeringData VisualizationDocumentationMachine Learning DatasetsNatural Language Processing
chenluli
PROFILE
Chenluli
Worked on the antvis/GPT-Vis repository to deliver two core features focused on dataset-driven improvements for narrative text analysis and chart recommendation evaluation. Developed and documented evaluation datasets, including agent.md and text2chart.md, to support narrative text processing and model training. Enhanced the CI workflow using YAML and JSON to integrate new dataset directories, ensuring robust data governance for evaluation pipelines. Contributed English and Chinese documentation to facilitate broader accessibility and fine-tuning of chart recommendation models. Leveraged skills in AI prompt engineering, data engineering, and natural language processing to strengthen the repository’s infrastructure for model evaluation and documentation-driven development.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
23,595
Activity Months1
Your Network
16 peopleWork History
November 2024
2 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for antvis/GPT-Vis focusing on dataset-driven improvements for narrative text analysis and chart recommendation evaluation. Highlights include the delivery of evaluation datasets and documentation artifacts, CI workflow enhancements, and strengthened data governance for model evaluation pipelines.
2 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for antvis/GPT-Vis focusing on dataset-driven improvements for narrative text analysis and chart recommendation evaluation. Highlights include the delivery of evaluation datasets and documentation artifacts, CI workflow enhancements, and strengthened data governance for model evaluation pipelines.
November 2024
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
JSONMarkdownYAML
Technical Skills
AI Prompt EngineeringData EngineeringData VisualizationDocumentationMachine Learning DatasetsNatural Language Processing
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