AutoSynthData: Generating Training Data for Enterprise Agents
AutoSynthData is a framework designed to automate the generation of synthetic training data for agentic models by focusing on environment-specific capability gaps. By leveraging a stronger teacher model to generate and validate tasks based on target model failures, the system creates a curriculum that iteratively improves agent performance within constrained enterprise environments.