Environment-free Synthetic Data Generation for API-Calling Agents
Apple ML shows LLM world-model simulation can generate API-agent training trajectories from specs alone—no executable environments required.
Knowledge catalogue
Apple ML shows LLM world-model simulation can generate API-agent training trajectories from specs alone—no executable environments required.
Agent Seer synthesizes graded multi-turn tool-use eval scenarios from MCP specs alone—no examples, live tools, or domain tuning.
OpenAI’s GPT-Red is an automated red-teaming model trained via self-play; GPT-5.6 Sol shows 6× fewer hard prompt-injection failures.