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Model Instruction Boundary

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-zh
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Model Instruction Boundary 是面向 人工智能 中 Model 领域的公开定义。它说明 Instruction Boundary 这种能力如何帮助人和代理识别风险、协调决策、引用证据,并保持公开安全、可靠、可追溯的操作边界。

团队在 人工智能 的 Model 工作中使用 Model Instruction Boundary,用来比较信号、选择下一步,并在不暴露私有数据的情况下记录决策。
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
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Model Instruction Boundary | PlatPhorm Dictionary