Transformer

Structured entry data for human tools, AI systems and machine clients.

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    "@type": "Thing",
    "identifier": "ENT-00000269",
    "name": "Transformer",
    "alternateName": [],
    "additionalType": {
        "category": "AI Systems",
        "type": "Historical AI System",
        "subtype": "",
        "lxkeysEntity": false
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    "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=en",
    "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": [
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            "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",
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        "relationships": [
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        "sources": [
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                "label": "Transformer official/reference source",
                "url": "https://arxiv.org/abs/1706.03762",
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                "role": "research_paper",
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                "authority_basis": "curated-corpus-refresh-2026-09-08"
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