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.
Michael Warner Barbine
Borrador de traduccion automatica (Spanish) for "Embedding Model Card": Embedding Model Card is a ml documentation artifact that summarizes intended use, limits, and evaluation evidence for vector representation of content or entities. 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.
“Ejemplo en borrador: The machine learning team used Embedding Model Card when the embedding index changed, so the team could publish model behavior honestly before the model moved into evaluation.”
El proyecto de conocimiento es un podcast en el conjunto de recursos Polymaths. Conversaciones de larga duración sobre toma de decisiones, maestría y modelos mentales.
Borrador de traduccion automatica (Spanish) for "Vector Data Split": Vector Data Split is a ml experimental control that separates examples for training, validation, and testing for numeric representation and similarity search. It uses randomization rules, leakage checks, and seed tracking so teams can measure generalization honestly while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The machine learning team used Vector Data Split when the vector store returned close matches, so the team could measure generalization honestly before the model moved into evaluation.”
Borrador de traduccion automatica (Spanish) for "Label Model Card": Label Model Card is a ml documentation artifact that summarizes intended use, limits, and evaluation evidence for ground-truth or weak-supervision annotation. 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.
“Ejemplo en borrador: The machine learning team used Label Model Card when the label set had disagreement, so the team could publish model behavior honestly before the model moved into evaluation.”
Borrador de traduccion automatica (Spanish) for "Embedding Provenance Ledger": Embedding Provenance Ledger is a ml record that tracks where data came from and how it changed for vector representation of content or entities. 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.
“Ejemplo en borrador: The machine learning team used Embedding Provenance Ledger when the embedding index changed, so the team could audit model inputs reliably before the model moved into evaluation.”
Technical Standards es una superficie de documentación de Polymaths que cubre estándares de codificación y mejores prácticas para la plataforma.
Borrador de traduccion automatica (Spanish) for "Label Feature Store": Label Feature Store is a ml service that serves consistent features to training and inference for ground-truth or weak-supervision annotation. 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.
“Ejemplo en borrador: The machine learning team used Label Feature Store when the label set had disagreement, so the team could avoid training-serving skew before the model moved into evaluation.”
Borrador de traduccion automatica (Spanish) for "Feature Hyperparameter Sweep": Feature Hyperparameter Sweep is a ml optimization process that searches over model settings to improve a target metric for input signals used by a machine learning model. 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.
“Ejemplo en borrador: The machine learning team used Feature Hyperparameter Sweep when a feature distribution shifted, so the team could find better configurations before the model moved into evaluation.”
La Insignia de Cumplimiento es un marcador de confianza visible que respalda las decisiones de confianza en torno al cumplimiento en PlatPhorm News. Ayuda a los revisores y agentes a evaluar si las listas de artículos, las fuentes, los dominios y los enlaces deben ser confiables, advertidos o escalados.
“La Insignia de Cumplimiento se adjuntó a la lista para que los revisores pudieran juzgar la fuente antes de promocionar la historia.”
El recurso Output Guardrail es un recurso MCP legible utilizado por agentes de IA y clientes MCP cuando trabajan con PlatPhorm News. Proporciona un contexto estructurado para que un agente pueda descubrir herramientas, inspeccionar listados de artículos, leer recursos o realizar acciones seguras en la plataforma.
“El agente confió en el recurso Output Guardrail para comprender qué herramientas de PlatPhorm eran seguras para solicitar el descubrimiento de artículos.”
Borrador de traduccion automatica (Spanish) for "Embedding Drift Monitor": Embedding Drift Monitor is a ml monitor that detects when data or predictions no longer match the training baseline for vector representation of content or entities. It uses statistical tests, time windows, and alert thresholds so teams can respond before quality drops while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The machine learning team used Embedding Drift Monitor when the embedding index changed, so the team could respond before quality drops before the model moved into evaluation.”
Agent Human Approval es una definicion publica de inteligencia artificial para el area Agent. 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 Agent Human Approval durante trabajo de inteligencia artificial en Agent, para comparar senales, elegir el siguiente paso y documentar la decision sin exponer datos privados.”
Borrador de traduccion automatica (Spanish) for "Cloud Secret Scanner": Cloud Secret Scanner is a security preventive control that finds credentials before they spread for cloud account and resource security. It uses pattern matching, entropy checks, and allowlists so teams can stop accidental key exposure while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The security team used Cloud Secret Scanner when a storage bucket changed policy, so the team could stop accidental key exposure before the risk review began.”
La instantánea de la historia relacionada es una vista de un punto en el tiempo que describe la historia relacionada dentro de una lista de artículos de PlatPhorm News. Permite a los humanos y a los agentes escanear historias rápidamente, comparar fuentes y elegir si leer el artículo o abrir su discusión.
“La instantánea de la historia relacionada ayudó al lector a comprender la lista de artículos antes de abrir la historia completa.”
La puntuación de procedencia es una calificación numérica o cualitativa que respalda las decisiones de confianza en torno a la procedencia en PlatPhorm News. Ayuda a los revisores y agentes a evaluar si las listas de artículos, las fuentes, los dominios y los enlaces deben ser confiables, advertidos o escalados.
“La puntuación de procedencia se adjuntó a la lista para que los revisores pudieran juzgar la fuente antes de promocionar la historia.”
Borrador de traduccion automatica (Spanish) for "Vector Label Review": Vector Label Review is a ml quality workflow that checks annotations for consistency and usefulness for numeric representation and similarity search. 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 Vector Label Review when the vector store returned close matches, so the team could improve supervised learning data before the model moved into evaluation.”
Codex Leicester es catalogado por Polymaths como un notable trabajo asociado con Leonardo da Vinci, conectando el legado público de esa figura al Arte, la Ciencia, la Ingeniería.
Borrador de traduccion automatica (Spanish) for "Cluster Cold Start Budget": Cluster Cold Start Budget is a compute latency target that limits startup delay for newly scheduled execution for group of machines acting as one platform. 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.
“Ejemplo en borrador: The platform engineering team used Cluster Cold Start Budget when the cluster added a node pool, so the team could keep first requests responsive before the workload scaled up.”
Orbital Ephemeris Service es una definicion publica de sistemas espaciales para el area Orbital. 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 Orbital Ephemeris Service durante trabajo de sistemas espaciales en Orbital, para comparar senales, elegir el siguiente paso y documentar la decision sin exponer datos privados.”