{"id":1507,"date":"2022-10-24T09:47:48","date_gmt":"2022-10-24T09:47:48","guid":{"rendered":"https:\/\/tagon.ai\/?p=1507"},"modified":"2022-10-24T09:47:48","modified_gmt":"2022-10-24T09:47:48","slug":"model-validation-service-of-tagon-a-scaling-up-solution-for-ai-data-labeling","status":"publish","type":"post","link":"https:\/\/tagon.vn\/vi\/model-validation-service-of-tagon-a-scaling-up-solution-for-ai-data-labeling\/","title":{"rendered":"Model validation service of TagOn: A scaling-up solution for AI data labeling"},"content":{"rendered":"\r\n\r\n
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\"AI

AI Model Validation<\/p><\/div>\r\n\r\nRunning a model of machine learning in production needs much more than just creating and validating models. The machine learning applied in production includes multiple components running consecutively such as data collection, data ingestion, data annotation, etc. However, today TagOn will introduce you to the data validation component of data labeling.\r\n\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/section>

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Table of Contents<\/p>\n