6. Need for Human Oversight

• Not a self-improving solution: Synthetic data pipelines require careful human inspection and iteration to ensure quality.
• Resource intensive: The process of reviewing, curating, and filtering synthetic data can be time-consuming and potentially costly.
• Expertise required: Effective use of synthetic data necessitates a deep understanding of both the data domain and the potential pitfalls of synthetic generation.