Agents3h ago
Apple Proposes Environment-Free Synthetic Data Generation
Apple researchers developed a method to generate API-calling trajectories using LLMs as digital world models. This approach bypasses the need for fully implemented environments and backend databases. By relying solely on API specifications, it removes a primary bottleneck in training agentic workflows. Practitioners can now scale high-quality training data without building complex simulation infrastructures.