AutoSynthData: Generating Training Data for Enterprise Agents
Hugging Face
ServiceNow CoreAI built AutoSynthData to turn enterprise agent capability gaps—identified from a target model’s environment failures—into executable training tasks generated and validated using a stronger teacher’s successes. AutoSynthData’s EnterpriseOps Gym pipeline uses a task-selection rule that favors target-model solves on no more than 1 of 3 trials while requiring the stronger solver to succeed on at least 2 of 3 trials. As the model improves, AutoSynthData shifts the curriculum toward tasks the model still struggles with, using iterative evaluation and feedback loops to expand and rebalance the training dataset.