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IEEE/ICACT20250223 Question.1
Questioner: haun620@kyonggi.ac.kr    2025-02-17 ¿ÀÈÄ 12:50:41
IEEE/ICACT20250223 Answer.1
Answer by Auhor alihussainnrana@gmail.com   2025-02-17 ¿ÀÈÄ 12:50:41
What do you think are the solutions to the Foundation model's data dependencies and data limitations? One solution to the Foundation model's data dependencies and limitations is improving data quality through better curation, filtering, and augmentation techniques. Synthetic data generation can help overcome data scarcity while maintaining diversity and reducing biases. Additionally, integrating domain-specific fine-tuning with smaller, high-quality datasets can enhance performance without excessive data reliance. Lastly, leveraging federated learning and privacy-preserving techniques allows models to learn from distributed datasets without centralizing sensitive information.

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