{"version":"1.0","type":"rich","provider_name":"gaks.ai AI Glossary","provider_url":"https://gaks.ai/glossary","title":"Zero-Shot Learning — 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;\">Zero-Shot Learning</h3><p style=\"margin:0 0 12px;font-size:14px;line-height:1.6;\">The ability of a model to perform a task it has never explicitly been trained on, with no examples provided at inference time. Large language models exhibit impressive zero-shot capabilities, you can ask them to perform tasks simply by describing what you want, without any demonstrations, though performance is generally better with at least a few examples.  See also: few-shot learning, in-context learning.</p><a href=\"https://gaks.ai/glossary/zero-shot-learning\" style=\"font-size:12px;color:#0077aa;\">Source: gaks.ai/glossary/zero-shot-learning →</a></div>"}