Define the new internet.
Look up the words people use online, add the ones we missed, and help make the internet easier to understand.
Look up the words people use online, add the ones we missed, and help make the internet easier to understand.
2,337 definitions
기계 지원 번역 초안 (Korean) for "Fine-Tuning Calibration Curve": Fine-Tuning Calibration Curve is a ml diagnostic that compares predicted confidence with observed outcomes for adaptation of a model to a domain. It uses bucketed predictions, reliability diagrams, and threshold analysis so teams can make confidence scores useful while keeping evidence, reliability, and public-safe operational boundaries clear.
“예문 초안: The machine learning team used Fine-Tuning Calibration Curve when the fine-tuning run used curated examples, so the team could make confidence scores useful before the model moved into evaluation.”
기계 지원 번역 초안 (Korean) for "Rollback Approval Step": Rollback Approval Step is a devops workflow control that requires review before a sensitive change proceeds for recovery from a bad deployment. It uses role checks, comments, and audit logs so teams can keep high-risk automation accountable while keeping evidence, reliability, and public-safe operational boundaries clear.
“예문 초안: The DevOps team used Rollback Approval Step when the error budget started burning, so the team could keep high-risk automation accountable before the deployment window opened.”
기계 지원 번역 초안 (Korean) for "CD Infra Plan": CD Infra Plan is a devops change preview that shows expected infrastructure changes before apply for deployment automation and promotion. 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 CD Infra Plan when the release moved toward production, so the team could review platform changes safely before the deployment window opened.”
기계 지원 번역 초안 (Korean) for "Fine-Tuning Evaluation Harness": Fine-Tuning Evaluation Harness is a ml test system that runs repeatable checks against model behavior for adaptation of a model to a domain. It uses fixtures, metrics, thresholds, and regression reports so teams can compare releases with evidence while keeping evidence, reliability, and public-safe operational boundaries clear.
“예문 초안: The machine learning team used Fine-Tuning Evaluation Harness when the fine-tuning run used curated examples, so the team could compare releases with evidence before the model moved into evaluation.”
기계 지원 번역 초안 (Korean) for "Metric Training Checkpoint": Metric Training Checkpoint is a ml recovery artifact that saves model state during learning for measurement of model behavior. 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 Metric Training Checkpoint when the metric changed after data cleanup, so the team could resume or inspect training safely before the model moved into evaluation.”
기계 지원 번역 초안 (Korean) for "Fine-Tuning Feature Store": Fine-Tuning Feature Store is a ml service that serves consistent features to training and inference for adaptation of a model to a domain. 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 Fine-Tuning Feature Store when the fine-tuning run used curated examples, so the team could avoid training-serving skew before the model moved into evaluation.”
기계 지원 번역 초안 (Korean) for "CI Config Drift Check": CI Config Drift Check is a devops consistency check that finds differences between intended and live configuration for continuous integration workflows. It uses desired state, live state, and diff reports so teams can avoid surprise environment behavior while keeping evidence, reliability, and public-safe operational boundaries clear.
“예문 초안: The DevOps team used CI Config Drift Check when a pull request entered the build queue, so the team could avoid surprise environment behavior before the deployment window opened.”
기계 지원 번역 초안 (Korean) for "CD Rollback Plan": CD Rollback Plan is a devops recovery plan that defines how to return to a known good version for deployment automation and promotion. 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 CD Rollback Plan when the release moved toward production, so the team could recover quickly from bad changes before the deployment window opened.”
기계 지원 번역 초안 (Korean) for "Environment Artifact Signature": Environment Artifact Signature is a devops supply-chain record that proves that an artifact came from an expected build path for configuration for a runtime stage. 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 Environment Artifact Signature when staging and production drifted, so the team could trust deployed packages before the deployment window opened.”
기계 지원 번역 초안 (Korean) for "Environment Rollout Guard": Environment Rollout Guard is a devops release control that limits exposure during gradual deployment for configuration for a runtime stage. It uses traffic slices, health checks, and automatic pause rules so teams can reduce blast radius while keeping evidence, reliability, and public-safe operational boundaries clear.
“예문 초안: The DevOps team used Environment Rollout Guard when staging and production drifted, so the team could reduce blast radius before the deployment window opened.”