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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.