Agents3h ago
Apple Develops Environment-Free Synthetic Data Generation
Apple researchers created a method to generate API-calling trajectories without requiring executable environments or backend databases. The approach uses LLMs as digital world models to simulate stateful interactions based solely on API specifications. This removes a primary bottleneck in scaling agent training. Practitioners can now synthesize high-quality training data without building complex, functional software sandboxes.