Agents2h ago
Apple Proposes Environment-Free Synthetic Data Generation
Apple researchers developed a method to generate agent training trajectories using only API specifications. By using LLMs as digital world models, the system bypasses the need for executable APIs or backend databases. This removes a primary bottleneck in scaling API-calling agents. Practitioners can now synthesize high-quality interaction data without building full environments.