AI BriefingWhat is Synthetic Data
Key point
Synthetic data is artificially generated data that mimics real-world data, and it is a technology that overcomes the limitations of AI training.
Details
Synthetic Data refers to data artificially generated through algorithms that mimic real-world data. It is emerging as a core technology to solve data collection difficulties and privacy issues.
Synthetic data is useful in the following aspects:
- Solving Data Scarcity: It artificially creates specific situations or rare cases where real data is lacking, improving model performance.
- Privacy Protection: It mitigates Privacy concerns by maintaining statistical characteristics without including actual users' sensitive information.
- Cost Reduction: It can dramatically reduce the time and cost required for data collection and labeling.
Recently, in addition to generative models such as GAN and VAE, methods using LLM to generate more sophisticated and high-quality data are widely used.
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