Agents2h ago
Apple Research Generates API Data Without Environments
Apple researchers developed a method to generate synthetic training trajectories using LLMs as digital world models. The approach requires only API specifications, bypassing the need for executable backends or pre-populated databases. This removes a primary scaling bottleneck for API-calling agents. Developers can now synthesize high-quality interaction data without building full environments.