{"version":"1.0","type":"rich","provider_name":"gaks.ai AI Glossary","provider_url":"https://gaks.ai/glossary","title":"Training — 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;\">Training</h3><p style=\"margin:0 0 12px;font-size:14px;line-height:1.6;\">The process of exposing a machine learning model to data and adjusting its parameters to minimize prediction errors. Training can take anywhere from minutes to months depending on the size of the model and dataset, and is typically the most computationally intensive part of building an AI system.</p><a href=\"https://gaks.ai/glossary/training\" style=\"font-size:12px;color:#0077aa;\">Source: gaks.ai/glossary/training →</a></div>"}