Agents2h ago
Apple Research Generates Agent Data Without Environments
Apple researchers developed a method to create synthetic training trajectories using only API specifications. By leveraging LLMs as digital world models, the approach bypasses the need for executable APIs or backend databases. This removes a primary scalability bottleneck for training API-calling agents. Practitioners can now generate high-quality data without building full simulation environments.