Model Grounding Check

机器辅助翻译草稿 (Chinese) for "Model Grounding Check": Model Grounding Check is a ai quality control that verifies that generated answers are backed by available sources for foundation model behavior and serving. It uses citation checks, retrieval evidence, and contradiction detection so teams can reduce unsupported claims while keeping evidence, reliability, and public-safe operational boundaries clear.

“示例草稿: The AI platform team used Model Grounding Check when the model produced a low-confidence answer, so the team could reduce unsupported claims before the agent workflow reached production.”