多模态数据算法
Tasks
- Build data quality evaluation and filtering pipeline
- Design sample scoring strategy using PPL and NLL and mutual information
- Develop stratified sampling algorithm for balanced multimodal data distribution
- Implement data scoring subset generation SFT training and evaluation automation loop
- Research and implement multimodal data selection tools and standardized data governance workflow
- Run multimodal benchmark experiments to optimize data strategy
Perks/Benefits
- N/A
Skills/Tech-stack
Benchmarking | Data Quality | Data Sampling | LLM | Machine Learning | Model Evaluation | Multimodal | PyTorch | Python | SFT | Sample Scoring | VLM
Education
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