Synthetic Data Flywheel
Bootstrapping intelligence with frontier models
Model Accuracy
62%
Synthetic Rows
0
GPT-4
Critique
Llama-8B
The Secret Sauce
Builders use Synthetic Data when real-world data is scarce or expensive. By using GPT-4 to produce and critique millions of rows, you can train a tiny, niche model that outperforms GPT-4 on that specific task.
Founder Strategy: Data Flywheels
The best products are data products. The best data products have data flywheels. This demo shows how to build one.
Why critique?
Training on garbage leads to model collapse. The Critique step (Stage 2) ensures only high-fidelity data hits the training bucket.