TR
ENT-00000269 · Historical AI System

Transformer

The Transformer is the neural-network architecture introduced by Google researchers in Attention Is All You Need.

Niveau IV ConnectéHistorical recordDocumenté
Fiche publique

Vue d’ensemble

The Transformer is the neural-network architecture introduced by Google researchers in Attention Is All You Need. It became the foundation of modern large language models and many multimodal AI systems.

Chronologie

  1. 2017Initial development or public milestone

    Transformer entered the documented public record in 2017. This event is retained at the precision supported by the Entry’s reviewed source history.

Capacités

Historical AI milestone documentationMethod or system lineagePublic archival referenceInfluence on later AI research or products

Limites connues

The system is documented primarily for historical significance and may no longer be maintained, accessible or representative of current AI practice.Reconstructions and later summaries can differ from the original hardware, software and experimental conditions.Performance should be interpreted in the historical context and evaluation methods of its period.
Détail technique et structuré

Description technique

Structured LXKeys.world registry record for Transformer. Entity type: Historical AI System; classification: Historical AI System; creator/organization context: Google Research. Canonical source anchor: https://arxiv.org/abs/1706.03762. 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

Historical AIResearchHistorical AI System
Graphe relationnel

Transformer

Ouvrir dans le graphe complet
Transformer
Contexte organisationnelSortante
Google Research

Google Research is the primary organization or public context associated with Transformer.

Couche lisible par machine

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

{
    "@context": [
        "https://schema.org",
        {
            "lxw": "https://lxkeys.world/schema/"
        }
    ],
    "@type": "Thing",
    "identifier": "ENT-00000269",
    "name": "Transformer",
    "alternateName": [],
    "additionalType": {
        "category": "AI Systems",
        "type": "Historical AI System",
        "subtype": "",
        "lxkeysEntity": false
    },
    "description": "The Transformer is the neural-network architecture introduced by Google researchers in Attention Is All You Need.",
    "creator": "Google Research",
    "url": "https://lxkeys.world/entry.php?id=ENT-00000269&lang=fr",
    "sameAs": "https://arxiv.org/abs/1706.03762",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00000269",
        "kind": "AI Systems",
        "type": "Historical AI System",
        "subtype": "",
        "classification": "Historical AI System",
        "organization": "Google Research",
        "originContext": "Public AI and cultural record",
        "firstPublicAppearance": "2017",
        "currentStatus": "Historical record",
        "documentationStatus": "Documented",
        "documentationIndex": {
            "total": 74,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 11,
            "level": "Level IV Connected"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T00:00:00+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T00:00:00+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "facts": [],
        "capabilities": [
            "Historical AI milestone documentation",
            "Method or system lineage",
            "Public archival reference",
            "Influence on later AI research or products"
        ],
        "limitations": [
            "The system is documented primarily for historical significance and may no longer be maintained, accessible or representative of current AI practice.",
            "Reconstructions and later summaries can differ from the original hardware, software and experimental conditions.",
            "Performance should be interpreted in the historical context and evaluation methods of its period."
        ],
        "tags": [
            "Historical AI",
            "Research",
            "Historical AI System"
        ],
        "timeline": [
            {
                "date": "2017",
                "title": "Initial development or public milestone",
                "description": "Transformer entered the documented public record in 2017. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "https://arxiv.org/abs/1706.03762",
                "verification_status": "source_backed_curated_baseline"
            }
        ],
        "relationships": [
            {
                "target": "Google Research",
                "type": "Organization Context",
                "description": "Google Research is the primary organization or public context associated with Transformer.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "Transformer official/reference source",
                "url": "https://arxiv.org/abs/1706.03762",
                "source_type": "Reference Source",
                "verification_status": "verified",
                "authority": "TRUSTED_PRIMARY",
                "role": "research_paper",
                "update_enabled": false,
                "authority_basis": "curated-corpus-refresh-2026-09-08"
            }
        ],
        "canonical": [],
        "imageMeta": []
    }
}
Preuves

Contribuer à cette entrée

Soumettez une source, une correction ou un commentaire. Les modifications publiques restent modérées.

Soumettre une preuve ou un commentaire

Commentaires approuvés

Aucun commentaire public approuvé pour le moment.