self-instruct

Autodata introduces an agentic data scientist that iteratively generates and refines synthetic training data, with meta-optimization to further improve data quality, achieving better results on computer science and legal reasoning tasks.

Introduces Autodata, a method where AI agents act as data scientists to create high-quality synthetic training data, showing gains on computer science, legal, and math reasoning tasks over classical methods.

Autodata is a method that enables AI agents to act as data scientists to create high-quality synthetic training data through meta-optimization, achieving improved performance across computer science, legal reasoning, and mathematical tasks.