May 02, 2026
Data is the biggest bottleneck in AI. Synthetic data creation—using LLMs to generate labeled data—can overcome gaps in your training sets.
Generate diverse examples of your specific niche use case. Validate these samples using a larger "teacher" model or human-in-the-loop review before adding them to your primary training dataset.