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 "The Way to Wealth": The Way to Wealth is listed by Polymaths as a notable work associated with Benjamin Franklin, connecting that figure's public legacy to Politics, Science, Writing.
“Beispielentwurf: The Way to Wealth appears in the Polymaths profile for Benjamin Franklin.”
Automatischer Uebersetzungsentwurf (German) for "Prompt Human Approval": Prompt Human Approval is a ai control step that requires a person to approve sensitive or high-impact actions for instructions and context passed to a model. It uses risk scoring, review UI, and audit logs so teams can keep protected decisions accountable while keeping evidence, reliability, and public-safe operational boundaries clear.
“Beispielentwurf: The AI platform team used Prompt Human Approval when the prompt changed between releases, so the team could keep protected decisions accountable before the agent workflow reached production.”
Automatischer Uebersetzungsentwurf (German) for "Feature Calibration Curve": Feature Calibration Curve is a ml diagnostic that compares predicted confidence with observed outcomes for input signals used by a machine learning model. 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.
“Beispielentwurf: The machine learning team used Feature Calibration Curve when a feature distribution shifted, so the team could make confidence scores useful before the model moved into evaluation.”
Automatischer Uebersetzungsentwurf (German) for "BGP Route Leak Guard": BGP Route Leak Guard is a networking routing control that detects and blocks accidental route propagation for interdomain routing. It uses prefix filters, validation, and peer policy so teams can protect reachability while keeping evidence, reliability, and public-safe operational boundaries clear.
“Beispielentwurf: The network engineering team used BGP Route Leak Guard when a route advertisement changed, so the team could protect reachability before traffic crossed a service boundary.”
Automatischer Uebersetzungsentwurf (German) for "Polymathic Science": In Polymaths, Science is treated as one domain in a wider multidisciplinary practice, connected through figures such as Leonardo da Vinci, Benjamin Franklin, Aristotle, Shen Kuo.
“Beispielentwurf: Polymathic science becomes more powerful when it connects with other domains instead of remaining isolated.”
Automatischer Uebersetzungsentwurf (German) for "Data Loss Detection Rule": Data Loss Detection Rule is a security security analytic that matches suspicious behavior or known indicators for sensitive data exposure risk. It uses logs, thresholds, signatures, and behavioral context so teams can surface actionable alerts while keeping evidence, reliability, and public-safe operational boundaries clear.
“Beispielentwurf: The security team used Data Loss Detection Rule when a report included private metadata, so the team could surface actionable alerts before the risk review began.”
Automatischer Uebersetzungsentwurf (German) for "Tool Call Memory Scope": Tool Call Memory Scope is a ai state boundary that limits what an assistant may remember or reuse for model-triggered calls into software systems. It uses retention policies, consent checks, and namespace separation so teams can prevent accidental cross-context leakage while keeping evidence, reliability, and public-safe operational boundaries clear.
“Beispielentwurf: The AI platform team used Tool Call Memory Scope when the assistant requested a protected operation, so the team could prevent accidental cross-context leakage before the agent workflow reached production.”
Automatischer Uebersetzungsentwurf (German) for "Endpoint Detection Rule": Endpoint Detection Rule is a security security analytic that matches suspicious behavior or known indicators for user device and server protection. It uses logs, thresholds, signatures, and behavioral context so teams can surface actionable alerts while keeping evidence, reliability, and public-safe operational boundaries clear.
“Beispielentwurf: The security team used Endpoint Detection Rule when a workstation reported suspicious activity, so the team could surface actionable alerts before the risk review began.”
Automatischer Uebersetzungsentwurf (German) for "The Book of Salvation": The Book of Salvation is listed by Polymaths as a notable work associated with Ibn Sina (Avicenna), connecting that figure's public legacy to Medicine, Philosophy, Astronomy.
“Beispielentwurf: The Book of Salvation appears in the Polymaths profile for Ibn Sina (Avicenna).”
Automatischer Uebersetzungsentwurf (German) for "Feature Evaluation Harness": Feature Evaluation Harness is a ml test system that runs repeatable checks against model behavior for input signals used by a machine learning model. 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 Feature Evaluation Harness when a feature distribution shifted, so the team could compare releases with evidence before the model moved into evaluation.”
Automatischer Uebersetzungsentwurf (German) for "Feature Embedding Refresh": Feature Embedding Refresh is a ml index workflow that updates vector representations after source data changes for input signals used by a machine learning model. 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 Feature Embedding Refresh when a feature distribution shifted, so the team could keep retrieval results current before the model moved into evaluation.”
Automatischer Uebersetzungsentwurf (German) for "CPU Checkpoint Restore": CPU Checkpoint Restore is a compute recovery workflow that resumes work from a saved state for general-purpose processor scheduling. It uses snapshots, state files, and integrity checks so teams can recover long-running work while keeping evidence, reliability, and public-safe operational boundaries clear.
“Beispielentwurf: The platform engineering team used CPU Checkpoint Restore when the service hit a compute ceiling, so the team could recover long-running work before the workload scaled up.”
Automatischer Uebersetzungsentwurf (German) for "Payload Command Sequence": Payload Command Sequence is a space operations artifact that orders spacecraft actions into a validated timeline for instrument, sensor, and hosted payload operations. 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 Payload Command Sequence when the instrument entered a calibration cycle, so the team could send instructions without hidden conflicts before the next mission decision point.”
Automatischer Uebersetzungsentwurf (German) for "Tool Call Fallback Path": Tool Call Fallback Path is a ai resilience pattern that keeps an AI feature useful when a provider or tool is unavailable for model-triggered calls into software systems. It uses degraded states, deterministic responses, and operator notices so teams can avoid fake AI success while keeping evidence, reliability, and public-safe operational boundaries clear.
“Beispielentwurf: The AI platform team used Tool Call Fallback Path when the assistant requested a protected operation, so the team could avoid fake AI success before the agent workflow reached production.”
Automatischer Uebersetzungsentwurf (German) for "Context Grounding Check": Context Grounding Check is a ai quality control that verifies that generated answers are backed by available sources for runtime memory and retrieved information. 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 Context Grounding Check when the context window filled with mixed sources, so the team could reduce unsupported claims before the agent workflow reached production.”
Automatischer Uebersetzungsentwurf (German) for "Incident Response Abuse Throttle": Incident Response Abuse Throttle is a security anti-abuse control that slows or blocks suspicious repeated behavior for security event handling. 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.
“Beispielentwurf: The security team used Incident Response Abuse Throttle when an alert escalated to response, so the team could protect public access without a login wall before the risk review began.”
Automatischer Uebersetzungsentwurf (German) for "Feature Model Card": Feature Model Card is a ml documentation artifact that summarizes intended use, limits, and evaluation evidence for input signals used by a machine learning model. 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 Feature Model Card when a feature distribution shifted, so the team could publish model behavior honestly before the model moved into evaluation.”
Automatischer Uebersetzungsentwurf (German) for "Endpoint Patch Window": Endpoint Patch Window is a security remediation schedule that sets when a fix should be applied for user device and server protection. It uses risk severity, testing needs, and maintenance constraints so teams can repair systems without unnecessary disruption while keeping evidence, reliability, and public-safe operational boundaries clear.
“Beispielentwurf: The security team used Endpoint Patch Window when a workstation reported suspicious activity, so the team could repair systems without unnecessary disruption before the risk review began.”
Automatischer Uebersetzungsentwurf (German) for "Awkward": 1 Lack of grace, skill, or ease 2: odd proportion, proportion, size, UNGAINLY 3: a lack of social grace or assurance 4: hard to handle or deal with
“Beispielentwurf: A weird loser, it was awkward when he called his car baby and freaked out about having another human in the car with him. Used to being alone it didn't occur to him how frightening and unhinged this behavior was”
Automatischer Uebersetzungsentwurf (German) for "CPU Placement Strategy": CPU Placement Strategy is a compute scheduling rule that chooses where workloads should run for general-purpose processor scheduling. 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.
“Beispielentwurf: The platform engineering team used CPU Placement Strategy when the service hit a compute ceiling, so the team could improve reliability and efficiency before the workload scaled up.”