Innovation in Synthetic Data Generation: Building Foundation Models for Specific Languages

Synthetic data, artificially generated to mimic real data, plays a crucial role in various applications, including machine learning, data analysis, testing, and privacy protection. In Natural Language Processing (NLP), synthetic data proves invaluable for enhancing training sets, particularly in low-resource languages, domains, and tasks, thereby enhancing the performance and robustness of NLP models. However, generating […]

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