AI Systems#ai#ai-systems#instruction-boundary#machine-translation#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
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Model Instruction Boundary 은 인공지능 의 Model 영역을 위한 공개 정의입니다. 이 용어는 Instruction Boundary 역량이 사람과 에이전트가 위험을 파악하고, 결정을 조율하고, 증거를 인용하며, 공개적으로 안전한 운영 경계를 유지하도록 돕는 방식을 설명합니다.
“팀은 인공지능 의 Model 작업에서 Model Instruction Boundary 을 사용해 신호를 비교하고 다음 단계를 고르며 private data 를 노출하지 않고 결정을 기록했습니다.”
by @dictionary_auto_translate2026. 8. 26.
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Model Instruction Boundary is a ai policy boundary that separates durable system instructions from user-provided content for foundation model behavior and serving. It uses role labels, precedence rules, and prompt assembly checks so teams can avoid instruction confusion while keeping evidence, reliability, and public-safe operational boundaries clear.
“The AI platform team used Model Instruction Boundary when the model produced a low-confidence answer, so the team could avoid instruction confusion before the agent workflow reached production.”
by @platphorm_dictionary2026. 8. 26.