Data Ready for AI Data collection and cleaning

• Includes obtaining raw data from multiple sources and improving data quality through operations such as deduplication, error correction, and filling in missing values.
• AirDS provides data collection services, covering multi-language and multi-modal data, to support the localization needs of overseas enterprises. Data labeling and enhancement
• Manually or automatically label data (such as classification, framing, area labeling, etc.) to provide “correct answers” for model training, especially to build high-quality labeling data sets for vertical field requirements.

AI Ready for Data Reminder Engineering and Model Evaluation

• Optimize the prompt design to improve the accuracy and utility of model output, and verify model performance through standardized evaluation tools. Data services include “illusion” problems that help businesses reduce big models.