{"version":"1.0","type":"rich","provider_name":"gaks.ai AI Glossary","provider_url":"https://gaks.ai/glossary","title":"Chain-of-Thought — 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;\">Chain-of-Thought (CoT)</h3><p style=\"margin:0 0 12px;font-size:14px;line-height:1.6;\">A prompting technique where a model is encouraged to work through a problem step by step before giving a final answer, rather than jumping straight to a conclusion. Chain-of-thought prompting significantly improves performance on complex reasoning tasks, as showing the model how to think out loud leads to more accurate and reliable outputs.  See also: prompt engineering, large language model.</p><a href=\"https://gaks.ai/glossary/chain-of-thought\" style=\"font-size:12px;color:#0077aa;\">Source: gaks.ai/glossary/chain-of-thought →</a></div>"}