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
機械支援の翻訳下書き (Japanese) for "Pipeline Evaluation Harness": Pipeline Evaluation Harness is a ml test system that runs repeatable checks against model behavior for automated data and model workflow. 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.
“例文の下書き: The machine learning team used Pipeline Evaluation Harness when the pipeline missed a validation step, so the team could compare releases with evidence before the model moved into evaluation.”
機械支援の翻訳下書き (Japanese) for "CD Runbook Check": CD Runbook Check is a devops operational test that confirms that documented procedures still work for deployment automation and promotion. 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.
“例文の下書き: The DevOps team used CD Runbook Check when the release moved toward production, so the team could keep response playbooks current before the deployment window opened.”
機械支援の翻訳下書き (Japanese) for "Metric Label Review": Metric Label Review is a ml quality workflow that checks annotations for consistency and usefulness for measurement of model behavior. It uses agreement metrics, reviewer queues, and adjudication so teams can improve supervised learning data while keeping evidence, reliability, and public-safe operational boundaries clear.
“例文の下書き: The machine learning team used Metric Label Review when the metric changed after data cleanup, so the team could improve supervised learning data before the model moved into evaluation.”
機械支援の翻訳下書き (Japanese) for "Canary Config Drift Check": Canary Config Drift Check is a devops consistency check that finds differences between intended and live configuration for small-scope production rollout. 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.
“例文の下書き: The DevOps team used Canary Config Drift Check when the first traffic slice received the build, so the team could avoid surprise environment behavior before the deployment window opened.”
機械支援の翻訳下書き (Japanese) for "Fine-Tuning Provenance Ledger": Fine-Tuning Provenance Ledger is a ml record that tracks where data came from and how it changed for adaptation of a model to a domain. 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.
“例文の下書き: The machine learning team used Fine-Tuning Provenance Ledger when the fine-tuning run used curated examples, so the team could audit model inputs reliably before the model moved into evaluation.”
機械支援の翻訳下書き (Japanese) 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.
“例文の下書き: 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.”
機械支援の翻訳下書き (Japanese) for "Canary Infra Plan": Canary Infra Plan is a devops change preview that shows expected infrastructure changes before apply for small-scope production rollout. 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.
“例文の下書き: The DevOps team used Canary Infra Plan when the first traffic slice received the build, so the team could review platform changes safely before the deployment window opened.”
機械支援の翻訳下書き (Japanese) 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.
“例文の下書き: 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.”
機械支援の翻訳下書き (Japanese) for "Fine-Tuning Hyperparameter Sweep": Fine-Tuning Hyperparameter Sweep is a ml optimization process that searches over model settings to improve a target metric for adaptation of a model to a domain. It uses bounded search spaces, trial tracking, and early stopping so teams can find better configurations while keeping evidence, reliability, and public-safe operational boundaries clear.
“例文の下書き: The machine learning team used Fine-Tuning Hyperparameter Sweep when the fine-tuning run used curated examples, so the team could find better configurations before the model moved into evaluation.”
機械支援の翻訳下書き (Japanese) for "Canary Rollback Plan": Canary Rollback Plan is a devops recovery plan that defines how to return to a known good version for small-scope production rollout. 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.
“例文の下書き: The DevOps team used Canary Rollback Plan when the first traffic slice received the build, so the team could recover quickly from bad changes before the deployment window opened.”