기계 지원 번역 초안 (Korean) for "Fine-Tuning Embedding Refresh": Fine-Tuning Embedding Refresh is a ml index workflow that updates vector representations after source data changes for adaptation of a model to a domain. 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 Fine-Tuning Embedding Refresh when the fine-tuning run used curated examples, so the team could keep retrieval results current before the model moved into evaluation.”
기계 지원 번역 초안 (Korean) for "Telemetry Link Budget": Telemetry Link Budget is a space planning model that estimates whether a signal path has enough margin for reliable communication for spacecraft health and performance monitoring. It uses antenna gain, path loss, modulation, and noise estimates so teams can schedule contacts with realistic margins while keeping evidence, reliability, and public-safe operational boundaries clear.
“예문 초안: The mission team used Telemetry Link Budget when the telemetry stream showed unexpected drift, so the team could schedule contacts with realistic margins before the next mission decision point.”
기계 지원 번역 초안 (Korean) for "Routing Instruction Boundary": Routing Instruction Boundary is a ai policy boundary that separates durable system instructions from user-provided content for selection among models, tools, and workflows. 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.
“예문 초안: The AI platform team used Routing Instruction Boundary when the router selected a cheaper model, so the team could avoid instruction confusion before the agent workflow reached production.”
기계 지원 번역 초안 (Korean) for "Model Grounding Check": Model Grounding Check is a ai quality control that verifies that generated answers are backed by available sources for foundation model behavior and serving. It uses citation checks, retrieval evidence, and contradiction detection so teams can reduce unsupported claims while keeping evidence, reliability, and public-safe operational boundaries clear.
“예문 초안: The AI platform team used Model Grounding Check when the model produced a low-confidence answer, so the team could reduce unsupported claims before the agent workflow reached production.”
기계 지원 번역 초안 (Korean) for "Memory Isolation Boundary": Memory Isolation Boundary is a compute security boundary that separates workloads so one cannot affect another unexpectedly for volatile runtime storage. It uses namespaces, sandboxes, and access controls so teams can reduce cross-workload risk while keeping evidence, reliability, and public-safe operational boundaries clear.
“예문 초안: The platform engineering team used Memory Isolation Boundary when the process approached its memory limit, so the team could reduce cross-workload risk before the workload scaled up.”
기계 지원 번역 초안 (Korean) for "Cluster Placement Strategy": Cluster Placement Strategy is a compute scheduling rule that chooses where workloads should run for group of machines acting as one platform. It uses affinity, topology, availability, and cost signals so teams can improve reliability and efficiency while keeping evidence, reliability, and public-safe operational boundaries clear.
“예문 초안: The platform engineering team used Cluster Placement Strategy when the cluster added a node pool, so the team could improve reliability and efficiency before the workload scaled up.”
기계 지원 번역 초안 (Korean) for "Map": A way to orient yourself in space real, fictional or virtual
“예문 초안: He opened the maps app and explained it to her as she hadn't been using it every day for weeks. He wasn't listening, just waiting to speak. This mapped a comprehension assessment: low”
기계 지원 번역 초안 (Korean) for "Propulsion Science Window": Propulsion Science Window is a space planning interval that marks when conditions are suitable for data collection for thruster, burn, and maneuver systems. It uses target visibility, power budgets, thermal state, and downlink availability so teams can capture useful observations without breaking constraints while keeping evidence, reliability, and public-safe operational boundaries clear.
“예문 초안: The mission team used Propulsion Science Window when the burn plan changed, so the team could capture useful observations without breaking constraints before the next mission decision point.”
기계 지원 번역 초안 (Korean) for "Runbook Rollback Plan": Runbook Rollback Plan is a devops recovery plan that defines how to return to a known good version for documented operational procedure. It uses version pins, database notes, and operator steps so teams can recover quickly from bad changes while keeping evidence, reliability, and public-safe operational boundaries clear.
“예문 초안: The DevOps team used Runbook Rollback Plan when a responder needed the recovery steps, so the team could recover quickly from bad changes before the deployment window opened.”
기계 지원 번역 초안 (Korean) for "Firewall Health Probe": Firewall Health Probe is a networking availability check that tests whether a service or path can receive traffic for network traffic filtering. It uses timed requests, thresholds, and regional checks so teams can send traffic only to healthy targets while keeping evidence, reliability, and public-safe operational boundaries clear.
“예문 초안: The network engineering team used Firewall Health Probe when a new rule matched traffic, so the team could send traffic only to healthy targets before traffic crossed a service boundary.”
기계 지원 번역 초안 (Korean) for "Label Training Checkpoint": Label Training Checkpoint is a ml recovery artifact that saves model state during learning for ground-truth or weak-supervision annotation. It uses weights, optimizer state, and run metadata so teams can resume or inspect training safely while keeping evidence, reliability, and public-safe operational boundaries clear.
“예문 초안: The machine learning team used Label Training Checkpoint when the label set had disagreement, so the team could resume or inspect training safely before the model moved into evaluation.”
기계 지원 번역 초안 (Korean) for "Prompt Agent Trace": Prompt Agent Trace is a ai observability record that captures the steps an AI workflow took for instructions and context passed to a model. 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 Prompt Agent Trace when the prompt changed between releases, so the team could debug agent behavior without exposing secrets before the agent workflow reached production.”
기계 지원 번역 초안 (Korean) for "Identity Abuse Throttle": Identity Abuse Throttle is a security anti-abuse control that slows or blocks suspicious repeated behavior for user and workload identity. It uses rate limits, reputation signals, and challenge steps so teams can protect public access without a login wall while keeping evidence, reliability, and public-safe operational boundaries clear.
“예문 초안: The security team used Identity Abuse Throttle when a service account requested access, so the team could protect public access without a login wall before the risk review began.”
기계 지원 번역 초안 (Korean) for "Service Mesh Anycast Endpoint": Service Mesh Anycast Endpoint is a networking routing pattern that advertises one address from multiple locations for east-west service communication. 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 Service Mesh Anycast Endpoint when a service called another service, so the team could serve users from nearby healthy sites before traffic crossed a service boundary.”
기계 지원 번역 초안 (Korean) for "Canary Secret Rotation": Canary Secret Rotation is a devops credential workflow that replaces sensitive keys without service interruption for small-scope production rollout. It uses dual credentials, rollout steps, and revocation so teams can reduce credential exposure while keeping evidence, reliability, and public-safe operational boundaries clear.
“예문 초안: The DevOps team used Canary Secret Rotation when the first traffic slice received the build, so the team could reduce credential exposure before the deployment window opened.”
기계 지원 번역 초안 (Korean) for "Training Provenance Ledger": Training Provenance Ledger is a ml record that tracks where data came from and how it changed for model learning and optimization workflows. It uses hashes, source labels, and transformation history so teams can audit model inputs reliably while keeping evidence, reliability, and public-safe operational boundaries clear.
“예문 초안: The machine learning team used Training Provenance Ledger when the training job restarted, so the team could audit model inputs reliably before the model moved into evaluation.”
기계 지원 번역 초안 (Korean) for "Container Placement Strategy": Container Placement Strategy is a compute scheduling rule that chooses where workloads should run for packaged application runtime. It uses affinity, topology, availability, and cost signals so teams can improve reliability and efficiency while keeping evidence, reliability, and public-safe operational boundaries clear.
“예문 초안: The platform engineering team used Container Placement Strategy when the image started on a new node, so the team could improve reliability and efficiency before the workload scaled up.”
기계 지원 번역 초안 (Korean) for "Storage Autoscaling Policy": Storage Autoscaling Policy is a compute control loop that changes capacity based on demand signals for persistent data and object access. 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 Storage Autoscaling Policy when the workload read a large dataset, so the team could match resources to load before the workload scaled up.”
기계 지원 번역 초안 (Korean) for "Training Feature Store": Training Feature Store is a ml service that serves consistent features to training and inference for model learning and optimization workflows. 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 Training Feature Store when the training job restarted, so the team could avoid training-serving skew before the model moved into evaluation.”
기계 지원 번역 초안 (Korean) for "Martian Trajectory Correction": Martian Trajectory Correction is a space maneuver process that adjusts a planned flight path after navigation updates or mission changes for Mars relay, rover, and entry operations. It uses delta-v estimates, burn timing, and post-maneuver validation so teams can reduce path error before it grows while keeping evidence, reliability, and public-safe operational boundaries clear.
“예문 초안: The mission team used Martian Trajectory Correction when the rover started a high-latency science pass, so the team could reduce path error before it grows before the next mission decision point.”