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기계 지원 번역 초안 (Korean) for "Memory Tool Permission": Memory Tool Permission is a ai access control that decides which tools an AI workflow may call for persistent or session-level AI state. It uses operation allowlists, user intent checks, and protected-action gates so teams can block unsafe automation while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The AI platform team used Memory Tool Permission when the assistant reused earlier project context, so the team could block unsafe automation before the agent workflow reached production.”

기계 지원 번역 초안 (Korean) for "GPU Backpressure Control": GPU Backpressure Control is a compute stability pattern that slows incoming work when downstream capacity is limited for accelerated compute for parallel workloads. It uses queues, retry budgets, and admission control so teams can avoid overload cascades while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The platform engineering team used GPU Backpressure Control when the training job requested more memory, so the team could avoid overload cascades before the workload scaled up.”

기계 지원 번역 초안 (Korean) for "HTTP Route Leak Guard": HTTP Route Leak Guard is a networking routing control that detects and blocks accidental route propagation for application-layer request routing. It uses prefix filters, validation, and peer policy so teams can protect reachability while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The network engineering team used HTTP Route Leak Guard when a client retried a request, so the team could protect reachability before traffic crossed a service boundary.”

기계 지원 번역 초안 (Korean) for "Knowledge Integration Aspect: Practice explaining one field using concepts from another": A practice note from the Knowledge Integration principle: Practice explaining one field using concepts from another.

“예문 초안: The learner used this knowledge integration aspect to make their study plan more polymathic.”

기계 지원 번역 초안 (Korean) for "Knowledge Integration Development Practice: When learning something new, ask": A recommended development practice for Knowledge Integration: When learning something new, ask how it relates to what you already know.

“예문 초안: Polymaths recommends this practice as a concrete way to build knowledge integration.”

기계 지원 번역 초안 (Korean) for "Depth and Breadth Balance Development Practice: Choose 2-3 core disciplines for": A recommended development practice for Depth and Breadth Balance: Choose 2-3 core disciplines for deep mastery.

“예문 초안: Polymaths recommends this practice as a concrete way to build depth and breadth balance.”

기계 지원 번역 초안 (Korean) for "Pipeline Feature Store": Pipeline Feature Store is a ml service that serves consistent features to training and inference for automated data and model workflow. It uses versioned feature definitions, freshness checks, and access policies so teams can avoid training-serving skew while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The machine learning team used Pipeline Feature Store when the pipeline missed a validation step, so the team could avoid training-serving skew before the model moved into evaluation.”

기계 지원 번역 초안 (Korean) for "Cluster Autoscaling Policy": Cluster Autoscaling Policy is a compute control loop that changes capacity based on demand signals for group of machines acting as one platform. It uses metrics, thresholds, and cooldowns so teams can match resources to load while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The platform engineering team used Cluster Autoscaling Policy when the cluster added a node pool, so the team could match resources to load before the workload scaled up.”

기계 지원 번역 초안 (Korean) for "Payload Attitude Control": Payload Attitude Control is a space subsystem that keeps a spacecraft pointed correctly for power, thermal safety, communication, or science for instrument, sensor, and hosted payload operations. It uses sensors, reaction wheels, thrusters, and control laws so teams can maintain pointing without exceeding constraints while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The mission team used Payload Attitude Control when the instrument entered a calibration cycle, so the team could maintain pointing without exceeding constraints before the next mission decision point.”

기계 지원 번역 초안 (Korean) for "Propulsion Autonomy Stack": Propulsion Autonomy Stack is a space software layer that lets spacecraft or ground tools make bounded decisions when direct human control is delayed for thruster, burn, and maneuver systems. It uses rules, state machines, onboard checks, and fail-safe limits so teams can handle latency without losing accountability while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The mission team used Propulsion Autonomy Stack when the burn plan changed, so the team could handle latency without losing accountability before the next mission decision point.”

기계 지원 번역 초안 (Korean) for "Evaluation Agent Trace": Evaluation Agent Trace is a ai observability record that captures the steps an AI workflow took for AI quality and safety testing. It uses trace identifiers, tool events, and redacted metadata so teams can debug agent behavior without exposing secrets while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The AI platform team used Evaluation Agent Trace when a release candidate failed a reasoning scenario, so the team could debug agent behavior without exposing secrets before the agent workflow reached production.”

기계 지원 번역 초안 (Korean) for "Runbook Infra Plan": Runbook Infra Plan is a devops change preview that shows expected infrastructure changes before apply for documented operational procedure. It uses resource graphs, policy checks, and cost notes so teams can review platform changes safely while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The DevOps team used Runbook Infra Plan when a responder needed the recovery steps, so the team could review platform changes safely before the deployment window opened.”

기계 지원 번역 초안 (Korean) for "CPU Runtime Profile": CPU Runtime Profile is a compute performance record that shows how code uses CPU, memory, I/O, and time for general-purpose processor scheduling. It uses sampling, traces, and resource metrics so teams can target optimization work while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The platform engineering team used CPU Runtime Profile when the service hit a compute ceiling, so the team could target optimization work before the workload scaled up.”

기계 지원 번역 초안 (Korean) for "Tool Call Context Contract": Tool Call Context Contract is a ai interface contract that defines what context may be passed into a model call for model-triggered calls into software systems. It uses schemas, redaction rules, source labels, and token budgets so teams can keep model inputs relevant and safe while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The AI platform team used Tool Call Context Contract when the assistant requested a protected operation, so the team could keep model inputs relevant and safe before the agent workflow reached production.”

기계 지원 번역 초안 (Korean) for "Pipeline Embedding Refresh": Pipeline Embedding Refresh is a ml index workflow that updates vector representations after source data changes for automated data and model workflow. It uses batch jobs, backfills, and index validation so teams can keep retrieval results current while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The machine learning team used Pipeline Embedding Refresh when the pipeline missed a validation step, so the team could keep retrieval results current before the model moved into evaluation.”

기계 지원 번역 초안 (Korean) for "Prompt Context Contract": Prompt Context Contract is a ai interface contract that defines what context may be passed into a model call for instructions and context passed to a model. It uses schemas, redaction rules, source labels, and token budgets so teams can keep model inputs relevant and safe while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The AI platform team used Prompt Context Contract when the prompt changed between releases, so the team could keep model inputs relevant and safe before the agent workflow reached production.”

기계 지원 번역 초안 (Korean) for "Project Goals": Project Goals is a Polymaths documentation surface covering Strategic goals and metrics for the Polymaths platform.

“예문 초안: Agents and API clients can use Project Goals as a source for Polymaths platform context.”

기계 지원 번역 초안 (Korean) for "HTTP Anycast Endpoint": HTTP Anycast Endpoint is a networking routing pattern that advertises one address from multiple locations for application-layer request routing. It uses regional announcements, health checks, and traffic steering so teams can serve users from nearby healthy sites while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The network engineering team used HTTP Anycast Endpoint when a client retried a request, so the team could serve users from nearby healthy sites before traffic crossed a service boundary.”

기계 지원 번역 초안 (Korean) for "Memory Cold Start Budget": Memory Cold Start Budget is a compute latency target that limits startup delay for newly scheduled execution for volatile runtime storage. It uses prewarming, smaller packages, and runtime tuning so teams can keep first requests responsive while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The platform engineering team used Memory Cold Start Budget when the process approached its memory limit, so the team could keep first requests responsive before the workload scaled up.”

기계 지원 번역 초안 (Korean) for "Payload Debris Avoidance": Payload Debris Avoidance is a space safety workflow that reduces collision risk with tracked objects and mission-generated debris for instrument, sensor, and hosted payload operations. It uses conjunction screening, maneuver planning, and operator signoff so teams can avoid unsafe passes without overusing fuel while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The mission team used Payload Debris Avoidance when the instrument entered a calibration cycle, so the team could avoid unsafe passes without overusing fuel before the next mission decision point.”