{
  "@context": "https://schema.org",
  "@type": "TechArticle",
  "@id": "https://anchorfact.org/kb/foundation-models",
  "headline": "Foundation Models: Paradigm Shift in AI",
  "description": "Foundation models represent a paradigm shift — pretrain once on massive data, then adapt to thousands of downstream tasks via fine-tuning, prompting, or in-context learning.",
  "dateCreated": "2026-05-24T02:49:13.607Z",
  "dateModified": "2026-05-24",
  "author": {
    "@type": "Organization",
    "name": "AnchorFact"
  },
  "publisher": {
    "@type": "Organization",
    "name": "AnchorFact",
    "url": "https://anchorfact.org"
  },
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "anchorfact:confidence": "high",
  "anchorfact:generationMethod": "ai_assisted",
  "citation": [
    {
      "@type": "CreativeWork",
      "name": "On the Opportunities and Risks of Foundation Models",
      "sameAs": "https://arxiv.org/abs/2108.07258"
    },
    {
      "@type": "CreativeWork",
      "name": "Scaling Laws for Neural Language Models",
      "sameAs": "https://arxiv.org/abs/2001.08361"
    }
  ]
}