Agents1h ago
Apple Develops Environment-Free Synthetic Data For Agents
Apple researchers created a method to generate API-calling trajectories using LLMs as digital world models. This approach removes the need for fully implemented backend databases or executable environments during training. It allows developers to scale agent training using only API specifications. The technique bypasses the primary bottleneck in synthetic data collection.