Popular
Popular public definitions for this language. If a reviewed translation is missing, Dictionary shows a labeled machine-assisted draft.
Popular public definitions for this language. If a reviewed translation is missing, Dictionary shows a labeled machine-assisted draft.
Automatischer Uebersetzungsentwurf (German) for "Launch Thermal Margin": Launch Thermal Margin is a space safety metric that tracks how much temperature headroom remains before a component exceeds limits for launch vehicle and ascent operations. It uses sensor data, heat models, and operational constraints so teams can protect hardware during changing conditions while keeping evidence, reliability, and public-safe operational boundaries clear.
“Beispielentwurf: The mission team used Launch Thermal Margin when the launch window narrowed, so the team could protect hardware during changing conditions before the next mission decision point.”
Automatischer Uebersetzungsentwurf (German) for "Model Citation Builder": Model Citation Builder is a ai attribution helper that formats source links and evidence for an AI answer for foundation model behavior and serving. It uses canonical URLs, source titles, and quote limits so teams can make generated answers citeable while keeping evidence, reliability, and public-safe operational boundaries clear.
“Beispielentwurf: The AI platform team used Model Citation Builder when the model produced a low-confidence answer, so the team could make generated answers citeable before the agent workflow reached production.”
Automatischer Uebersetzungsentwurf (German) 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.
“Beispielentwurf: 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.”
Automatischer Uebersetzungsentwurf (German) for "Navigation Command Sequence": Navigation Command Sequence is a space operations artifact that orders spacecraft actions into a validated timeline for position, timing, and trajectory services. It uses syntax checks, dependency rules, and simulation so teams can send instructions without hidden conflicts while keeping evidence, reliability, and public-safe operational boundaries clear.
“Beispielentwurf: The mission team used Navigation Command Sequence when the navigation solution was updated, so the team could send instructions without hidden conflicts before the next mission decision point.”
Automatischer Uebersetzungsentwurf (German) for "TLS Traffic Shaper": TLS Traffic Shaper is a networking control mechanism that limits or prioritizes flows across links for encrypted transport setup. It uses queues, rate limits, and quality-of-service rules so teams can protect important traffic while keeping evidence, reliability, and public-safe operational boundaries clear.
“Beispielentwurf: The network engineering team used TLS Traffic Shaper when a certificate neared expiration, so the team could protect important traffic before traffic crossed a service boundary.”
Automatischer Uebersetzungsentwurf (German) for "Embedding Evaluation Harness": Embedding Evaluation Harness is a ml test system that runs repeatable checks against model behavior for vector representation of content or entities. 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.
“Beispielentwurf: The machine learning team used Embedding Evaluation Harness when the embedding index changed, so the team could compare releases with evidence before the model moved into evaluation.”
Automatischer Uebersetzungsentwurf (German) for "Martian Radiation Shielding": Martian Radiation Shielding is a space design control that reduces exposure from charged particles and solar events for Mars relay, rover, and entry operations. 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.
“Beispielentwurf: The mission team used Martian Radiation Shielding when the rover started a high-latency science pass, so the team could protect electronics and crews from known hazards before the next mission decision point.”
Automatischer Uebersetzungsentwurf (German) for "Routing Tool Permission": Routing Tool Permission is a ai access control that decides which tools an AI workflow may call for selection among models, tools, and workflows. 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.
“Beispielentwurf: The AI platform team used Routing Tool Permission when the router selected a cheaper model, so the team could block unsafe automation before the agent workflow reached production.”
Automatischer Uebersetzungsentwurf (German) 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.
“Beispielentwurf: 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.”
Automatischer Uebersetzungsentwurf (German) for "Runbook Trace Link": Runbook Trace Link is a devops observability link that connects a deployment or workflow to runtime evidence for documented operational procedure. 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.
“Beispielentwurf: The DevOps team used Runbook Trace Link when a responder needed the recovery steps, so the team could debug production changes faster before the deployment window opened.”
Automatischer Uebersetzungsentwurf (German) for "Evaluation Grounding Check": Evaluation Grounding Check is a ai quality control that verifies that generated answers are backed by available sources for AI quality and safety testing. 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.
“Beispielentwurf: The AI platform team used Evaluation Grounding Check when a release candidate failed a reasoning scenario, so the team could reduce unsupported claims before the agent workflow reached production.”
Automatischer Uebersetzungsentwurf (German) for "Telemetry Attitude Control": Telemetry Attitude Control is a space subsystem that keeps a spacecraft pointed correctly for power, thermal safety, communication, or science for spacecraft health and performance monitoring. 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.
“Beispielentwurf: The mission team used Telemetry Attitude Control when the telemetry stream showed unexpected drift, so the team could maintain pointing without exceeding constraints before the next mission decision point.”
Automatischer Uebersetzungsentwurf (German) for "Serverless Capacity Forecast": Serverless Capacity Forecast is a compute planning model that estimates future resource needs for event-driven function execution. It uses traffic history, growth assumptions, and utilization trends so teams can avoid surprise shortages while keeping evidence, reliability, and public-safe operational boundaries clear.
“Beispielentwurf: The platform engineering team used Serverless Capacity Forecast when the function received a traffic burst, so the team could avoid surprise shortages before the workload scaled up.”
Automatischer Uebersetzungsentwurf (German) for "Virtual Machine Resource Quota": Virtual Machine Resource Quota is a compute limit that sets how much compute a workload may consume for isolated guest compute. It uses policy, reservations, and usage tracking so teams can protect shared capacity while keeping evidence, reliability, and public-safe operational boundaries clear.
“Beispielentwurf: The platform engineering team used Virtual Machine Resource Quota when the VM migrated hosts, so the team could protect shared capacity before the workload scaled up.”
Automatischer Uebersetzungsentwurf (German) for "Experiment Model Card": Experiment Model Card is a ml documentation artifact that summarizes intended use, limits, and evaluation evidence for controlled model comparison. 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.
“Beispielentwurf: The machine learning team used Experiment Model Card when the experiment showed a metric tradeoff, so the team could publish model behavior honestly before the model moved into evaluation.”
Automatischer Uebersetzungsentwurf (German) for "Secret Release Manifest": Secret Release Manifest is a devops delivery record that lists versions, artifacts, routes, and checks for a release for credential and sensitive configuration. It uses commit IDs, checksums, and deployment URLs so teams can make releases auditable while keeping evidence, reliability, and public-safe operational boundaries clear.
“Beispielentwurf: The DevOps team used Secret Release Manifest when a token rotated, so the team could make releases auditable before the deployment window opened.”
Automatischer Uebersetzungsentwurf (German) 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.
“Beispielentwurf: 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.”
Automatischer Uebersetzungsentwurf (German) for "CI Secret Rotation": CI Secret Rotation is a devops credential workflow that replaces sensitive keys without service interruption for continuous integration workflows. It uses dual credentials, rollout steps, and revocation so teams can reduce credential exposure while keeping evidence, reliability, and public-safe operational boundaries clear.
“Beispielentwurf: The DevOps team used CI Secret Rotation when a pull request entered the build queue, so the team could reduce credential exposure before the deployment window opened.”
Automatischer Uebersetzungsentwurf (German) 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.
“Beispielentwurf: 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.”
Automatischer Uebersetzungsentwurf (German) for "Storage Runtime Profile": Storage Runtime Profile is a compute performance record that shows how code uses CPU, memory, I/O, and time for persistent data and object access. It uses sampling, traces, and resource metrics so teams can target optimization work while keeping evidence, reliability, and public-safe operational boundaries clear.
“Beispielentwurf: The platform engineering team used Storage Runtime Profile when the workload read a large dataset, so the team could target optimization work before the workload scaled up.”