{"version":"1.0","type":"rich","provider_name":"gaks.ai AI Glossary","provider_url":"https://gaks.ai/glossary","title":"Safe Completion — 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;\">Safe Completion</h3><p style=\"margin:0 0 12px;font-size:14px;line-height:1.6;\">An output from a language model that fulfills a user's request in a way that is helpful, accurate, and free from harmful content. The challenge isn't avoiding obviously dangerous outputs. It's navigating the vast middle ground where being genuinely useful and avoiding potential harm pull in different directions. Producing safe completions consistently across the full range of real-world inputs is one of the central unsolved problems in deploying language models responsibly.</p><a href=\"https://gaks.ai/glossary/safe-completion\" style=\"font-size:12px;color:#0077aa;\">Source: gaks.ai/glossary/safe-completion →</a></div>"}