Garak
ENT-00001964 · AI Governance / Safety

Garak

Garak is a AI governance or safety initiative associated with NVIDIA, classified in LXKeys.world as AI Governance / Safety.

Niveau IV ConnectéActifDocumenté
Fiche publique

Vue d’ensemble

Garak is a AI governance or safety initiative associated with NVIDIA. This Entry records its public identity, classification as AI Governance / Safety, source provenance, release or appearance history, documented capabilities and graph relationships. Primary-source material is preferred for factual maintenance; secondary references are retained only as supporting context.

Chronologie

  1. 2023First public appearance

    Garak entered the documented public record in 2023. This event is retained at the precision supported by the Entry’s reviewed source history.

Capacités

Documented source contextPublic reference anchorStructured classification

Limites connues

Governance and safety frameworks are context-dependent and may not map uniformly across jurisdictions, organizations or technical systems.Policies, standards and evaluation practices can change as regulation and technology evolve.Documentation should be read together with the issuing organization’s current scope and legal status.
Détail technique et structuré

Description technique

Structured LXKeys.world registry record for Garak. Entity type: AI Governance / Safety; classification: AI Governance / Safety; creator/organization context: NVIDIA. Canonical source anchor: https://github.com/NVIDIA/garak. The record tracks source authority, first public appearance, timeline, capabilities, limitations, registry status and graph relationships. Automatic refresh is limited to sources explicitly classified as OFFICIAL and enabled for updates; documentary and research references remain non-authoritative unless reviewed.

Tags contrôlés

Documented EntityAI SystemRegistry Candidate
Graphe relationnel

Garak

Ouvrir dans le graphe complet
Garak
Organisation associéeSortante
NVIDIA

Garak is associated with NVIDIA through its documented source context.

Couche lisible par machine

Données structurées de l’entrée pour les outils humains, les systèmes IA et les clients machine.

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