Données structurées de l’entrée pour les outils humains, les systèmes IA et les clients machine.
{
"@context": [
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{
"lxw": "https://lxkeys.world/schema/"
}
],
"@type": "Thing",
"identifier": "ENT-00002114",
"name": "VQ-VAE",
"alternateName": [],
"additionalType": {
"category": "AI Systems",
"type": "AI System",
"subtype": "",
"lxkeysEntity": false
},
"description": "VQ-VAE is a AI system associated with DeepMind, classified in LXKeys.world as Specialized AI System.",
"creator": "DeepMind",
"url": "https://lxkeys.world/entry.php?id=ENT-00002114&lang=fr",
"sameAs": "https://www.deepmind.com/publications/neural-discrete-representation-learning",
"image": "",
"lxkeysWorld": {
"worldId": "ENT-00002114",
"kind": "AI Systems",
"type": "AI System",
"subtype": "",
"classification": "Specialized AI System",
"organization": "DeepMind",
"originContext": "AI history and research",
"firstPublicAppearance": "2017",
"currentStatus": "Active",
"documentationStatus": "Documented",
"documentationIndex": {
"total": 82,
"documentation": 25,
"evidence": 13,
"structure": 25,
"relationships": 19,
"level": "Level V Persistent"
},
"lxCalendarium": {
"start_date_utc": "2023-04-01",
"created_utc": "2026-06-17T01:33:48+00:00",
"created_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4",
"updated_utc": "2026-06-17T01:33:48+00:00",
"updated_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4"
},
"facts": [],
"capabilities": [
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"Model or workflow integration",
"Input/output transformation",
"Public system documentation"
],
"limitations": [
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"Capabilities should be interpreted through the linked model card, official documentation or research source."
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"tags": [
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"Machine Learning",
"Historical"
],
"timeline": [
{
"date": "2017",
"title": "First public appearance",
"description": "VQ-VAE 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://www.deepmind.com/publications/neural-discrete-representation-learning",
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{
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"type": "Classification",
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"url": "https://www.deepmind.com/publications/neural-discrete-representation-learning",
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