기계 지원 번역 초안 (Korean) for "Model Model Router": Model Model Router is a ai selection service that chooses the best model or provider for a task for foundation model behavior and serving. It uses cost, latency, capability, policy, and fallback signals so teams can match work to the right model while keeping evidence, reliability, and public-safe operational boundaries clear.
“예문 초안: The AI platform team used Model Model Router when the model produced a low-confidence answer, so the team could match work to the right model before the agent workflow reached production.”
기계 지원 번역 초안 (Korean) for "Feature Bias Audit": Feature Bias Audit is a ml review process that looks for uneven model behavior across groups or segments for input signals used by a machine learning model. It uses slice metrics, representative data, and reviewer notes so teams can surface fairness risks while keeping evidence, reliability, and public-safe operational boundaries clear.
“예문 초안: The machine learning team used Feature Bias Audit when a feature distribution shifted, so the team could surface fairness risks before the model moved into evaluation.”
기계 지원 번역 초안 (Korean) for "Secret Infra Plan": Secret Infra Plan is a devops change preview that shows expected infrastructure changes before apply for credential and sensitive configuration. 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 Secret Infra Plan when a token rotated, so the team could review platform changes safely before the deployment window opened.”
기계 지원 번역 초안 (Korean) for "Artifact Trace Link": Artifact Trace Link is a devops observability link that connects a deployment or workflow to runtime evidence for build output and package delivery. It uses trace IDs, span metadata, and release identifiers so teams can debug production changes faster while keeping evidence, reliability, and public-safe operational boundaries clear.
“예문 초안: The DevOps team used Artifact Trace Link when the container image was signed, so the team could debug production changes faster before the deployment window opened.”
기계 지원 번역 초안 (Korean) for "Tool Call Tool Permission": Tool Call Tool Permission is a ai access control that decides which tools an AI workflow may call for model-triggered calls into software systems. 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 Tool Call Tool Permission when the assistant requested a protected operation, so the team could block unsafe automation before the agent workflow reached production.”
기계 지원 번역 초안 (Korean) for "Supply Chain Abuse Throttle": Supply Chain Abuse Throttle is a security anti-abuse control that slows or blocks suspicious repeated behavior for dependencies, builds, and artifacts. 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 Supply Chain Abuse Throttle when a package update arrived, so the team could protect public access without a login wall before the risk review began.”
기계 지원 번역 초안 (Korean) for "Evaluation Model Router": Evaluation Model Router is a ai selection service that chooses the best model or provider for a task for AI quality and safety testing. It uses cost, latency, capability, policy, and fallback signals so teams can match work to the right model while keeping evidence, reliability, and public-safe operational boundaries clear.
“예문 초안: The AI platform team used Evaluation Model Router when a release candidate failed a reasoning scenario, so the team could match work to the right model before the agent workflow reached production.”
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 "Container Resource Quota": Container Resource Quota is a compute limit that sets how much compute a workload may consume for packaged application runtime. It uses policy, reservations, and usage tracking so teams can protect shared capacity while keeping evidence, reliability, and public-safe operational boundaries clear.
“예문 초안: The platform engineering team used Container Resource Quota when the image started on a new node, so the team could protect shared capacity before the workload scaled up.”
기계 지원 번역 초안 (Korean) for "Read URL Field": The Read URL Field is a structured metadata field that describes the read url inside a PlatPhorm News article listing. It lets humans and agents scan stories quickly, compare sources, and choose whether to read the article or open its discussion.
“예문 초안: The Read URL Field helped the reader understand the article listing before opening the full story.”
기계 지원 번역 초안 (Korean) for "Edge Autoscaling Policy": Edge Autoscaling Policy is a compute control loop that changes capacity based on demand signals for globally distributed runtime. 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 Edge Autoscaling Policy when the request arrived near a user, so the team could match resources to load before the workload scaled up.”
기계 지원 번역 초안 (Korean) for "Inference Agent Trace": Inference Agent Trace is a ai observability record that captures the steps an AI workflow took for model execution for user or system requests. 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 Inference Agent Trace when the inference route moved to a faster region, so the team could debug agent behavior without exposing secrets before the agent workflow reached production.”
기계 지원 번역 초안 (Korean) for "CD Artifact Signature": CD Artifact Signature is a devops supply-chain record that proves that an artifact came from an expected build path for deployment automation and promotion. It uses cryptographic signatures, provenance, and verification so teams can trust deployed packages while keeping evidence, reliability, and public-safe operational boundaries clear.
“예문 초안: The DevOps team used CD Artifact Signature when the release moved toward production, so the team could trust deployed packages before the deployment window opened.”
기계 지원 번역 초안 (Korean) for "Navigation Radiation Shielding": Navigation Radiation Shielding is a space design control that reduces exposure from charged particles and solar events for position, timing, and trajectory services. It uses material selection, safe modes, and exposure modeling so teams can protect electronics and crews from known hazards while keeping evidence, reliability, and public-safe operational boundaries clear.
“예문 초안: The mission team used Navigation Radiation Shielding when the navigation solution was updated, so the team could protect electronics and crews from known hazards before the next mission decision point.”
기계 지원 번역 초안 (Korean) for "Release Runbook Check": Release Runbook Check is a devops operational test that confirms that documented procedures still work for versioned delivery of code or content. It uses dry runs, screenshots, and command validation so teams can keep response playbooks current while keeping evidence, reliability, and public-safe operational boundaries clear.
“예문 초안: The DevOps team used Release Runbook Check when the release notes were generated, so the team could keep response playbooks current before the deployment window opened.”
기계 지원 번역 초안 (Korean) for "Inference Model Card": Inference Model Card is a ml documentation artifact that summarizes intended use, limits, and evaluation evidence for model prediction serving. It uses dataset notes, metric tables, and risk statements so teams can publish model behavior honestly while keeping evidence, reliability, and public-safe operational boundaries clear.
“예문 초안: The machine learning team used Inference Model Card when the endpoint handled burst traffic, so the team could publish model behavior honestly before the model moved into evaluation.”
기계 지원 번역 초안 (Korean) for "Context Safety Filter": Context Safety Filter is a ai policy control that detects content that should be blocked, rewritten, or escalated for runtime memory and retrieved information. It uses classifiers, rules, and human review queues so teams can keep outputs public-safe while keeping evidence, reliability, and public-safe operational boundaries clear.
“예문 초안: The AI platform team used Context Safety Filter when the context window filled with mixed sources, so the team could keep outputs public-safe before the agent workflow reached production.”
기계 지원 번역 초안 (Korean) for "Telemetry Radiation Shielding": Telemetry Radiation Shielding is a space design control that reduces exposure from charged particles and solar events for spacecraft health and performance monitoring. It uses material selection, safe modes, and exposure modeling so teams can protect electronics and crews from known hazards while keeping evidence, reliability, and public-safe operational boundaries clear.
“예문 초안: The mission team used Telemetry Radiation Shielding when the telemetry stream showed unexpected drift, so the team could protect electronics and crews from known hazards before the next mission decision point.”
기계 지원 번역 초안 (Korean) for "HTTP Egress Policy": HTTP Egress Policy is a networking outbound control that decides where workloads may send traffic for application-layer request routing. It uses allowlists, identity, and logging so teams can reduce exfiltration and SSRF risk while keeping evidence, reliability, and public-safe operational boundaries clear.
“예문 초안: The network engineering team used HTTP Egress Policy when a client retried a request, so the team could reduce exfiltration and SSRF risk before traffic crossed a service boundary.”
기계 지원 번역 초안 (Korean) for "Storage Cold Start Budget": Storage Cold Start Budget is a compute latency target that limits startup delay for newly scheduled execution for persistent data and object access. 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 Storage Cold Start Budget when the workload read a large dataset, so the team could keep first requests responsive before the workload scaled up.”