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-00000268",
"name": "Seq2Seq",
"alternateName": [],
"additionalType": {
"category": "AI Systems",
"type": "Historical AI System",
"subtype": "",
"lxkeysEntity": false
},
"description": "Seq2Seq is a historical AI system associated with Google, classified in LXKeys.world as Historical AI System.",
"creator": "Google",
"url": "https://lxkeys.world/entry.php?id=ENT-00000268&lang=fr",
"sameAs": "https://research.google/pubs/sequence-to-sequence-learning-with-neural-networks/",
"image": "",
"lxkeysWorld": {
"worldId": "ENT-00000268",
"kind": "AI Systems",
"type": "Historical AI System",
"subtype": "",
"classification": "Historical AI System",
"organization": "Google",
"originContext": "Public AI and cultural record",
"firstPublicAppearance": "2014",
"currentStatus": "Historical record",
"documentationStatus": "Documented",
"documentationIndex": {
"total": 82,
"documentation": 25,
"evidence": 21,
"structure": 25,
"relationships": 11,
"level": "Level V Persistent"
},
"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": "2014",
"title": "Initial development or public milestone",
"description": "Seq2Seq entered the documented public record in 2014. This event is retained at the precision supported by the Entry’s reviewed source history.",
"source_url": "https://research.google/pubs/sequence-to-sequence-learning-with-neural-networks/",
"verification_status": "source_backed_official"
}
],
"relationships": [
{
"target": "Google",
"type": "Organization Context",
"description": "Google is the primary organization or public context associated with Seq2Seq.",
"evidence_level": "documentary"
}
],
"sources": [
{
"label": "Canonical official source",
"url": "https://research.google/pubs/sequence-to-sequence-learning-with-neural-networks/",
"source_type": "Official Source",
"verification_status": "verified",
"authority": "OFFICIAL",
"role": "primary",
"update_enabled": true,
"authority_basis": "curated-corpus-refresh-2026-09-08"
},
{
"label": "Seq2Seq official/reference source",
"url": "https://en.wikipedia.org/wiki/Seq2seq",
"source_type": "Reference Source",
"verification_status": "verified",
"authority": "SECONDARY",
"role": "reference",
"update_enabled": false,
"authority_basis": "curated-corpus-refresh-2026-09-08"
}
],
"canonical": [],
"imageMeta": []
}
}