How to create synthetic data that works
Synthetic data can accelerate AI development, but generating high-quality datasets remains challenging. In this article, I'll walk through a few experiments I've done with synthetic data generation and the takeaways I've learnt so that you can do the same.
We'll do by covering
- Limitations of simple generation methods : Why simple generation methods produce homogeneous data
- Entropy and why it matters : Techniques to increase diversity in synthetic datasets
- Practical Implementations : Some simple examples of how to increase entropy and diversity to get better synthetic data