Model Memory Scope

機械支援の翻訳下書き (Japanese) for "Model Memory Scope": Model Memory Scope is a ai state boundary that limits what an assistant may remember or reuse for foundation model behavior and serving. It uses retention policies, consent checks, and namespace separation so teams can prevent accidental cross-context leakage while keeping evidence, reliability, and public-safe operational boundaries clear.

“例文の下書き: The AI platform team used Model Memory Scope when the model produced a low-confidence answer, so the team could prevent accidental cross-context leakage before the agent workflow reached production.”