{"version":"1.0","type":"rich","provider_name":"gaks.ai AI Glossary","provider_url":"https://gaks.ai/glossary","title":"Validation Set — 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;\">Validation Set</h3><p style=\"margin:0 0 12px;font-size:14px;line-height:1.6;\">A portion of the dataset set aside during training to monitor model performance and tune hyperparameters. Unlike the test set, the validation set is used during the development process, to catch overfitting early and guide decisions about model architecture and training settings.</p><a href=\"https://gaks.ai/glossary/validation-set\" style=\"font-size:12px;color:#0077aa;\">Source: gaks.ai/glossary/validation-set →</a></div>"}