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.
Borrador de traduccion automatica (Spanish) for "Model Drift Bias Audit": Model Drift Bias Audit is a ml review process that looks for uneven model behavior across groups or segments for changes in model performance over time. 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.
“Ejemplo en borrador: The machine learning team used Model Drift Bias Audit when the live population changed, so the team could surface fairness risks before the model moved into evaluation.”
Lunar Ephemeris Service es una definicion publica de sistemas espaciales para el area Lunar. Explica como la capacidad Ephemeris Service ayuda a personas y agentes a reconocer riesgos, coordinar decisiones, citar evidencia y mantener limites operativos seguros y confiables.
“Un equipo uso Lunar Ephemeris Service durante trabajo de sistemas espaciales en Lunar, para comparar senales, elegir el siguiente paso y documentar la decision sin exponer datos privados.”
Prompt Safety Filter es una definicion publica de inteligencia artificial para el area Prompt. Explica como la capacidad Safety Filter ayuda a personas y agentes a reconocer riesgos, coordinar decisiones, citar evidencia y mantener limites operativos seguros y confiables.
“Un equipo uso Prompt Safety Filter durante trabajo de inteligencia artificial en Prompt, para comparar senales, elegir el siguiente paso y documentar la decision sin exponer datos privados.”
Borrador de traduccion automatica (Spanish) for "DNS Path Trace": DNS Path Trace is a networking diagnostic record that shows where traffic travels and where delay or loss appears for name resolution and delegation. It uses hop data, timing, and network metadata so teams can debug connectivity issues while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The network engineering team used DNS Path Trace when a resolver returned stale data, so the team could debug connectivity issues before traffic crossed a service boundary.”
Mission Control Link Budget es una definicion publica de sistemas espaciales para el area Mission Control. Explica como la capacidad Link Budget ayuda a personas y agentes a reconocer riesgos, coordinar decisiones, citar evidencia y mantener limites operativos seguros y confiables.
“Un equipo uso Mission Control Link Budget durante trabajo de sistemas espaciales en Mission Control, para comparar senales, elegir el siguiente paso y documentar la decision sin exponer datos privados.”
Borrador de traduccion automatica (Spanish) for "Environment Release Manifest": Environment Release Manifest is a devops delivery record that lists versions, artifacts, routes, and checks for a release for configuration for a runtime stage. It uses commit IDs, checksums, and deployment URLs so teams can make releases auditable while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The DevOps team used Environment Release Manifest when staging and production drifted, so the team could make releases auditable before the deployment window opened.”
Tool Call Human Approval es una definicion publica de inteligencia artificial para el area Tool Call. Explica como la capacidad Human Approval ayuda a personas y agentes a reconocer riesgos, coordinar decisiones, citar evidencia y mantener limites operativos seguros y confiables.
“Un equipo uso Tool Call Human Approval durante trabajo de inteligencia artificial en Tool Call, para comparar senales, elegir el siguiente paso y documentar la decision sin exponer datos privados.”
Borrador de traduccion automatica (Spanish) for "Fine-Tuning Label Review": Fine-Tuning Label Review is a ml quality workflow that checks annotations for consistency and usefulness for adaptation of a model to a domain. 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.
“Ejemplo en borrador: The machine learning team used Fine-Tuning Label Review when the fine-tuning run used curated examples, so the team could improve supervised learning data before the model moved into evaluation.”
El hogar y el mundo son enumerados por Polymaths como un notable trabajo asociado con Rabindranath Tagore, que conecta el legado público de esa figura a la literatura, la música, el arte.
Borrador de traduccion automatica (Spanish) for "DNS Health Probe": DNS Health Probe is a networking availability check that tests whether a service or path can receive traffic for name resolution and delegation. It uses timed requests, thresholds, and regional checks so teams can send traffic only to healthy targets while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The network engineering team used DNS Health Probe when a resolver returned stale data, so the team could send traffic only to healthy targets before traffic crossed a service boundary.”
Borrador de traduccion automatica (Spanish) for "Label Bias Audit": Label Bias Audit is a ml review process that looks for uneven model behavior across groups or segments for ground-truth or weak-supervision annotation. 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.
“Ejemplo en borrador: The machine learning team used Label Bias Audit when the label set had disagreement, so the team could surface fairness risks before the model moved into evaluation.”
Borrador de traduccion automatica (Spanish) for "Serverless Autoscaling Policy": Serverless Autoscaling Policy is a compute control loop that changes capacity based on demand signals for event-driven function execution. It uses metrics, thresholds, and cooldowns so teams can match resources to load while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The platform engineering team used Serverless Autoscaling Policy when the function received a traffic burst, so the team could match resources to load before the workload scaled up.”
La impotencia aprendida es el comportamiento expuesto por un sujeto después de soportar repetidos estímulos aversivos más allá de su control. En los seres humanos, la falta de ayuda aprendida está relacionada con el concepto de autoeficacia, la creencia del individuo en su capacidad innata para alcanzar metas.
Borrador de traduccion automatica (Spanish) for "Canary Artifact Signature": Canary Artifact Signature is a devops supply-chain record that proves that an artifact came from an expected build path for small-scope production rollout. It uses cryptographic signatures, provenance, and verification so teams can trust deployed packages while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The DevOps team used Canary Artifact Signature when the first traffic slice received the build, so the team could trust deployed packages before the deployment window opened.”
Borrador de traduccion automatica (Spanish) for "Artifact Rollout Guard": Artifact Rollout Guard is a devops release control that limits exposure during gradual deployment for build output and package delivery. 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.
“Ejemplo en borrador: The DevOps team used Artifact Rollout Guard when the container image was signed, so the team could reduce blast radius before the deployment window opened.”
Borrador de traduccion automatica (Spanish) for "Serverless Image Hardening": Serverless Image Hardening is a compute security practice that reduces risk inside packaged runtime images for event-driven function execution. It uses minimal bases, patching, and vulnerability checks so teams can ship safer workloads while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The platform engineering team used Serverless Image Hardening when the function received a traffic burst, so the team could ship safer workloads before the workload scaled up.”
Borrador de traduccion automatica (Spanish) for "Storage Capacity Forecast": Storage Capacity Forecast is a compute planning model that estimates future resource needs for persistent data and object access. 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.
“Ejemplo en borrador: The platform engineering team used Storage Capacity Forecast when the workload read a large dataset, so the team could avoid surprise shortages before the workload scaled up.”
Ground Station Ephemeris Service es una definicion publica de sistemas espaciales para el area Ground Station. Explica como la capacidad Ephemeris Service ayuda a personas y agentes a reconocer riesgos, coordinar decisiones, citar evidencia y mantener limites operativos seguros y confiables.
“Un equipo uso Ground Station Ephemeris Service durante trabajo de sistemas espaciales en Ground Station, para comparar senales, elegir el siguiente paso y documentar la decision sin exponer datos privados.”
Borrador de traduccion automatica (Spanish) for "GPU Autoscaling Policy": GPU Autoscaling Policy is a compute control loop that changes capacity based on demand signals for accelerated compute for parallel workloads. It uses metrics, thresholds, and cooldowns so teams can match resources to load while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The platform engineering team used GPU Autoscaling Policy when the training job requested more memory, so the team could match resources to load before the workload scaled up.”
Borrador de traduccion automatica (Spanish) for "Storage Isolation Boundary": Storage Isolation Boundary is a compute security boundary that separates workloads so one cannot affect another unexpectedly for persistent data and object access. It uses namespaces, sandboxes, and access controls so teams can reduce cross-workload risk while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The platform engineering team used Storage Isolation Boundary when the workload read a large dataset, so the team could reduce cross-workload risk before the workload scaled up.”