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통찰 - Data Quality Control in Federated Learning
Enhancing Data Quality in Federated Fine-Tuning of Foundation Models
The author proposes a data quality control pipeline for federated fine-tuning of large language models to improve model performance by ensuring high-quality data selection.
Foundation Model Fine-Tuning: Data Quality Enhancement
협업을 통한 대규모 언어 모델의 데이터 품질 향상은 모델 성능 향상에 중요하다.
