Agents4h ago
Apple Generates Synthetic Data Without API Environments
Apple researchers developed a method to generate API-calling trajectories using LLMs as digital world models. This approach removes the need for executable APIs or pre-populated databases during training. By simulating stateful environment interactions from simple specifications, the team bypasses traditional scalability bottlenecks. Developers can now train API-calling agents without building complex backend infrastructures first.