Agents2h ago
Apple Proposes Environment-Free Synthetic Data For Agents
Apple researchers developed a method to generate API-calling trajectories using LLMs as digital world models. This approach bypasses the need for executable APIs or pre-populated backend databases. It allows developers to create massive training sets using only API specifications. This removes a primary scalability bottleneck for training stateful AI agents.