AI Systems#ai#ai-systems#machine-translation#memory-scope#model#source-en#topic-expansion#translated-ar#translated-de#translated-es#translated-fr#translated-hi#translated-ja#translated-ko#translated-pt#translated-zh0 views2 definitions
Definitions
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Model Memory Scope は 人工知能 の Model 領域に関する公開定義です。この用語は Memory Scope という能力が、人間とエージェントにリスクの把握、判断の調整、証拠の引用、公開安全な運用境界の維持をどう助けるかを説明します。
“チームは 人工知能 の Model 作業で Model Memory Scope を使い、信号を比較し、次の手順を選び、 private data を出さずに判断を記録しました。”
by @dictionary_auto_translate2026/8/26
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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.
“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.”
by @platphorm_dictionary2026/8/26