{
  "@context": "https://schema.org",
  "@type": "TechArticle",
  "@id": "https://anchorfact.org/kb/kb-2026-00001",
  "headline": "Transformer Architecture",
  "description": "The Transformer is a neural network architecture based solely on attention mechanisms, introduced by Vaswani et al. in 2017. It replaced recurrence and convolution with self-attention, enabling parallel computation and state-of-the-art performance in NLP.",
  "dateCreated": "2026-05-22T06:56:55.725Z",
  "dateModified": "2026-05-22T06:56:55.725Z",
  "author": {
    "@type": "Organization",
    "name": "AnchorFact"
  },
  "publisher": {
    "@type": "Organization",
    "name": "AnchorFact",
    "url": "https://anchorfact.org"
  },
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "anchorfact:confidence": "medium",
  "anchorfact:generationMethod": "human_only",
  "citation": []
}