{"version":"1.0","type":"rich","provider_name":"gaks.ai AI Glossary","provider_url":"https://gaks.ai/glossary","title":"Foundation Model — AI Glossary","author_name":"Glenn Katrud Solheim","author_url":"https://gaks.ai","width":600,"height":200,"html":"<div style=\"font-family:sans-serif;border:1px solid #e0e0e0;border-radius:8px;padding:16px;max-width:600px;background:#ffffff;color:#111111;\"><p style=\"margin:0 0 4px;font-size:11px;color:#666;\">AI Glossary — gaks.ai</p><h3 style=\"margin:0 0 8px;font-size:16px;\">Foundation Model</h3><p style=\"margin:0 0 12px;font-size:14px;line-height:1.6;\">A large AI model trained on broad, diverse data that can be adapted to a wide range of downstream tasks. Foundation models, such as large language models and multimodal models, serve as a starting point that other applications are built on top of, typically through fine-tuning or prompt engineering. The term was coined by Stanford researchers in 2021 and captures both the centrality and the systemic risks these models introduce.  See also: fine-tuning, large language model, transfer learning.</p><a href=\"https://gaks.ai/glossary/foundation-model\" style=\"font-size:12px;color:#0077aa;\">Source: gaks.ai/glossary/foundation-model →</a></div>"}