{"id":1534,"date":"2021-05-18T16:05:25","date_gmt":"2021-05-18T07:05:25","guid":{"rendered":"https:\/\/blog.testworks.co.kr\/en\/?p=1534"},"modified":"2022-12-28T15:40:50","modified_gmt":"2022-12-28T06:40:50","slug":"building-ai-training-datasets-through-automation-technology","status":"publish","type":"post","link":"https:\/\/blog.aiworkx.ai\/en\/building-ai-training-datasets-through-automation-technology\/","title":{"rendered":"Building AI Training Datasets Through Automation Technology"},"content":{"rendered":"\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large is-resized\"><img decoding=\"async\" src=\"https:\/\/blog.testworks.co.kr\/en\/wp-content\/uploads\/sites\/3\/2022\/12\/ai_\ub370\uc774\ud130\uc14b-\uad6c\ucd95_\uae30\uc220\uc774-\uc8fc\ub3c4\ud574\uc57c_cover_image-800x499-1.png\" alt=\"\" class=\"wp-image-1833\" width=\"1200\" srcset=\"https:\/\/blog.aiworkx.ai\/en\/wp-content\/uploads\/sites\/3\/2022\/12\/ai_\ub370\uc774\ud130\uc14b-\uad6c\ucd95_\uae30\uc220\uc774-\uc8fc\ub3c4\ud574\uc57c_cover_image-800x499-1.png 800w, https:\/\/blog.aiworkx.ai\/en\/wp-content\/uploads\/sites\/3\/2022\/12\/ai_\ub370\uc774\ud130\uc14b-\uad6c\ucd95_\uae30\uc220\uc774-\uc8fc\ub3c4\ud574\uc57c_cover_image-800x499-1-300x187.png 300w, https:\/\/blog.aiworkx.ai\/en\/wp-content\/uploads\/sites\/3\/2022\/12\/ai_\ub370\uc774\ud130\uc14b-\uad6c\ucd95_\uae30\uc220\uc774-\uc8fc\ub3c4\ud574\uc57c_cover_image-800x499-1-768x479.png 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><\/figure><\/div>\n\n\n\n<p><\/p>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"has-medium-font-size\">Data is one of the three key elements in AI Industry. The other two are algorithms and computing power. Testworks is a company specializing in processing artificial intelligence data: i.e., researching, and developing artificial intelligence technology to build AI data more effectively. We want to increase productivity by reducing time and cost in building datasets through automation technology using artificial intelligence models.<\/p>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>The process of building AI training datasets<\/strong><\/h2>\n\n\n\n<p class=\"has-medium-font-size\">The process of building a dataset used for training a artificial intelligence model <strong><span class=\"has-inline-color has-vivid-cyan-blue-color\">[1]<\/span> <\/strong>is&nbsp;as follows.<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/blog.testworks.co.kr\/en\/wp-content\/uploads\/sites\/3\/2021\/08\/Budiling_AI_Datasets-1024x298.png\" alt=\"\" class=\"wp-image-1596\" width=\"768\" height=\"224\" srcset=\"https:\/\/blog.aiworkx.ai\/en\/wp-content\/uploads\/sites\/3\/2021\/08\/Budiling_AI_Datasets-1024x298.png 1024w, https:\/\/blog.aiworkx.ai\/en\/wp-content\/uploads\/sites\/3\/2021\/08\/Budiling_AI_Datasets-300x87.png 300w, https:\/\/blog.aiworkx.ai\/en\/wp-content\/uploads\/sites\/3\/2021\/08\/Budiling_AI_Datasets-768x224.png 768w, https:\/\/blog.aiworkx.ai\/en\/wp-content\/uploads\/sites\/3\/2021\/08\/Budiling_AI_Datasets.png 1147w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \/><figcaption><strong>Figure 1<\/strong> <strong><span class=\"has-inline-color has-vivid-cyan-blue-color\">[2]<\/span><\/strong><\/figcaption><\/figure><\/div>\n\n\n\n<p><\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-1 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\"><\/div>\n<\/div>\n\n\n\n<p><\/p>\n\n\n\n<p class=\"has-medium-font-size\">First, we collect raw data such as images, videos, audios, and texts that are needed for training AI \u200b\u200bmodels.&nbsp;The collected data are then cleaned and refined through the pre-processing processes outlined below to turn them into proper source data for labeling.<\/p>\n\n\n\n<ul class=\"wp-block-list\" style=\"font-size:18px\"><li>Eliminate errors or noises that occur during data acquisition<\/li><li>Standardize the original data to the same standard format<\/li><li>Remove unnecessary data<\/li><li>Remove duplicate data<\/li><li>Perform data de-identification operations to protect privacy,<\/li><\/ul>\n\n\n\n<p style=\"font-size:18px\">After that, as in the figure below, data is annotated by providing the ground truth labels for the raw data so that the AI \u200b\u200bmodel can make the right decisions (or do analyses).<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"404\" height=\"256\" src=\"https:\/\/blog.testworks.co.kr\/en\/wp-content\/uploads\/sites\/3\/2021\/08\/20210518_AI-\ub370\uc774\ud130\uc14b-\uad6c\ucd95-\uae30\uc220\uc774-\uc8fc\ub3c4\ud574\uc57c_\uadf8\ub9bc2.png\" alt=\"\" class=\"wp-image-1537\" srcset=\"https:\/\/blog.aiworkx.ai\/en\/wp-content\/uploads\/sites\/3\/2021\/08\/20210518_AI-\ub370\uc774\ud130\uc14b-\uad6c\ucd95-\uae30\uc220\uc774-\uc8fc\ub3c4\ud574\uc57c_\uadf8\ub9bc2.png 404w, https:\/\/blog.aiworkx.ai\/en\/wp-content\/uploads\/sites\/3\/2021\/08\/20210518_AI-\ub370\uc774\ud130\uc14b-\uad6c\ucd95-\uae30\uc220\uc774-\uc8fc\ub3c4\ud574\uc57c_\uadf8\ub9bc2-300x190.png 300w\" sizes=\"auto, (max-width: 404px) 100vw, 404px\" \/><figcaption><strong>Figure 2<\/strong><\/figcaption><\/figure><\/div>\n\n\n\n<p><\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-2 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\"><\/div>\n<\/div>\n\n\n\n<p><\/p>\n\n\n\n<p class=\"has-medium-font-size\">Finally, the labeled data are reviewed and inspected for incomplete or missing labels. After additional re-labeling and inspection as needed. , the dataset is built and delivered to the client.<\/p>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Time and cost of building data for AI training<\/strong><\/h2>\n\n\n\n<p class=\"has-medium-font-size\">On average, the most time-consuming part of AI development is preparing the dataset. In other words, the time spent in collecting, cleaning, and labeling data accounts for 75% of an AI project.&nbsp;This means that a lot of time and money is incurred in building AI training data.<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"439\" src=\"https:\/\/blog.testworks.co.kr\/en\/wp-content\/uploads\/sites\/3\/2021\/08\/20210823_Building-AI-Training-Datasets-Through-Automation-Technology_Figure-2-1024x439.jpg\" alt=\"\" class=\"wp-image-1559\" srcset=\"https:\/\/blog.aiworkx.ai\/en\/wp-content\/uploads\/sites\/3\/2021\/08\/20210823_Building-AI-Training-Datasets-Through-Automation-Technology_Figure-2-1024x439.jpg 1024w, https:\/\/blog.aiworkx.ai\/en\/wp-content\/uploads\/sites\/3\/2021\/08\/20210823_Building-AI-Training-Datasets-Through-Automation-Technology_Figure-2-300x129.jpg 300w, https:\/\/blog.aiworkx.ai\/en\/wp-content\/uploads\/sites\/3\/2021\/08\/20210823_Building-AI-Training-Datasets-Through-Automation-Technology_Figure-2-768x330.jpg 768w, https:\/\/blog.aiworkx.ai\/en\/wp-content\/uploads\/sites\/3\/2021\/08\/20210823_Building-AI-Training-Datasets-Through-Automation-Technology_Figure-2.jpg 1235w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption><strong>Figure 3 <span class=\"has-inline-color has-vivid-cyan-blue-color\">[3]<\/span><\/strong><\/figcaption><\/figure><\/div>\n\n\n\n<p><\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-3 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\"><\/div>\n<\/div>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Introduction of technology to reduce data processing cost and improve productivity<\/strong><\/h2>\n\n\n\n<p class=\"has-medium-font-size\">Testworks has introduced technology to minimize these costs and time.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-4 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\"><\/div>\n<\/div>\n\n\n\n<p><\/p>\n\n\n\n<h3 class=\"has-medium-font-size wp-block-heading\"><strong>Preliminary cleaning of data using Python<\/strong><\/h3>\n\n\n\n<p class=\"has-medium-font-size\">In the case of data taken through smartphones, rotation information is also included in the images. For instance, an image might be rotated 90 degrees when the picture was taken.&nbsp;The rotated images would be unsuitable for labeling and training. To solve this problem, we remove the rotation information through a python code so that the annotators can work with clean standardized images.<\/p>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"has-medium-font-size wp-block-heading\"><strong>De-identification using AI models<\/strong><\/h3>\n\n\n\n<p class=\"has-medium-font-size\">Protecting privacy is important so to remove personally identifiable information from data, the labels must first check each data item one by one and performs de-identification operations.&nbsp;As the amount of de-identification increases, worker fatigue increases, and it can lead to missing de-identifying objects.&nbsp;To solve these problems and increase the efficiency of de-identification tasks, we are utilizing artificial intelligence models that are trained to identify and anonymize target objects.<\/p>\n\n\n\n<p class=\"has-medium-font-size\">First, the AI \u200b\u200bmodel performs de-identification operations, and then the reviewers inspect and correct the results, and thereby reducing the workload of the annotators, and increasing the overall productivity.<\/p>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"has-medium-font-size wp-block-heading\"><strong>Human-in-the-loop data labeling<\/strong><\/h3>\n\n\n\n<p class=\"has-medium-font-size\">Even regular data labeling is not 100% manual.<\/p>\n\n\n\n<p class=\"has-medium-font-size\">First, we first manually label 1-5% of the datasets that need to be labeled.&nbsp;We then use the labeled dataset to train an AI model.&nbsp;Then the trained AI model is used to auto label other data.<\/p>\n\n\n\n<p class=\"has-medium-font-size\">In case, the data is labeled incorrectly by the auto labeling process, the annotator inspects and corrects the mistakes.&nbsp;When annotation and inspection is complete, the AI \u200b\u200bmodel is retrained using the labeled and reviewed dataset.<\/p>\n\n\n\n<p class=\"has-medium-font-size\">In the labeling process, we use an AI model trained from a dataset that has been reviewed by humans to go through a semi-automated data labeling process, reducing the burden on the workers, and increasing the accuracy of data labeling.<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/blog.testworks.co.kr\/en\/wp-content\/uploads\/sites\/3\/2021\/08\/20210823_Building-AI-Training-Datasets-Through-Automation-Technology_Figure-3-1024x439.jpg\" alt=\"\" class=\"wp-image-1560\" width=\"1024\" height=\"439\" srcset=\"https:\/\/blog.aiworkx.ai\/en\/wp-content\/uploads\/sites\/3\/2021\/08\/20210823_Building-AI-Training-Datasets-Through-Automation-Technology_Figure-3-1024x439.jpg 1024w, https:\/\/blog.aiworkx.ai\/en\/wp-content\/uploads\/sites\/3\/2021\/08\/20210823_Building-AI-Training-Datasets-Through-Automation-Technology_Figure-3-300x129.jpg 300w, https:\/\/blog.aiworkx.ai\/en\/wp-content\/uploads\/sites\/3\/2021\/08\/20210823_Building-AI-Training-Datasets-Through-Automation-Technology_Figure-3-768x330.jpg 768w, https:\/\/blog.aiworkx.ai\/en\/wp-content\/uploads\/sites\/3\/2021\/08\/20210823_Building-AI-Training-Datasets-Through-Automation-Technology_Figure-3.jpg 1235w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption><strong>Figure 4<\/strong><\/figcaption><\/figure><\/div>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Conclusion<\/strong><\/h2>\n\n\n\n<p class=\"has-medium-font-size\">To build a high-quality dataset for artificial intelligence training, the use of automation technology is required to save the cost. So far, we have only been using auto labeling for datasets that we had sufficient training data. For certain domains, it is hard to developing an auto label model when the training data itself is small. To solve this problem, we are researching ways to augment small training datasets by few-shot learning, GAN, and active learning. I hope that large-scale, high-quality datasets will be built through automation technology, thereby revitalizing the artificial intelligence ecosystem.<\/p>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-5 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\"><\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-6 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\"><\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\"><\/div>\n<\/div>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>References<\/strong><\/h2>\n\n\n\n<hr class=\"wp-block-separator is-style-wide\"\/>\n\n\n\n<p style=\"font-size:17px\"><strong><span class=\"has-inline-color has-vivid-cyan-blue-color\">[1]<\/span>&nbsp;<\/strong><a href=\"https:\/\/aihub.or.kr\/sample\/intro\/%EC%A0%9C2%EA%B6%8C.%20%EC%9D%B8%EA%B3%B5%EC%A7%80%EB%8A%A5%20%ED%95%99%EC%8A%B5%EC%9A%A9%20%EB%8D%B0%EC%9D%B4%ED%84%B0%EC%85%8B%20%EA%B5%AC%EC%B6%95%20%EC%95%88%EB%82%B4%EC%84%9C.pdf\">the NIA &#8211; AI training dataset to build Guide .pdf<\/a>&nbsp;<\/p>\n\n\n\n<p style=\"font-size:17px\"><strong><span class=\"has-inline-color has-vivid-cyan-blue-color\"><strong>[<\/strong>2]<\/span><\/strong>&nbsp;<a rel=\"noreferrer noopener\" href=\"https:\/\/policy.nl.go.kr\/search\/searchDetail.do?rec_key=SH2_PLC20200256684\" target=\"_blank\">Ministry of Science and ICT \u2013 Press Release.&nbsp;<\/a>Refer to the<a rel=\"noreferrer noopener\" href=\"https:\/\/policy.nl.go.kr\/search\/searchDetail.do?rec_key=SH2_PLC20200256684\" target=\"_blank\">&nbsp;AI data quality standard draft<\/a><\/p>\n\n\n\n<p style=\"font-size:17px\"><strong><span class=\"has-inline-color has-vivid-cyan-blue-color\"><strong>[<\/strong>3]<\/span><\/strong><a href=\"https:\/\/aihub.or.kr\/sites\/default\/files\/2020-12\/%5BIF_2020-7%5D_AI_%ED%95%99%EC%8A%B5%EC%9A%A9_%EB%8D%B0%EC%9D%B4%ED%84%B0_%EC%82%AC%EC%97%85%EC%9D%98_%EC%8B%A4%ED%9A%A8%EC%84%B1_%ED%96%A5%EC%83%81%EC%9D%84_%EC%9C%84%ED%95%9C_%EC%A0%95%EC%B1%85_%EB%B0%A9%ED%96%A5.pdf\">&nbsp;NIA \u2013 Policy direction to improve the effectiveness of AI learning data business.<\/a>&nbsp;Refer to<a href=\"https:\/\/aihub.or.kr\/sites\/default\/files\/2020-12\/%5BIF_2020-7%5D_AI_%ED%95%99%EC%8A%B5%EC%9A%A9_%EB%8D%B0%EC%9D%B4%ED%84%B0_%EC%82%AC%EC%97%85%EC%9D%98_%EC%8B%A4%ED%9A%A8%EC%84%B1_%ED%96%A5%EC%83%81%EC%9D%84_%EC%9C%84%ED%95%9C_%EC%A0%95%EC%B1%85_%EB%B0%A9%ED%96%A5.pdf\">&nbsp;pdf<\/a><\/p>\n\n\n\n<hr class=\"wp-block-separator is-style-wide\"\/>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\"><\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\"><\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-10 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\"><\/div>\n<\/div>\n\n\n\n<p><\/p>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"415\" height=\"455\" src=\"https:\/\/blog.testworks.co.kr\/en\/wp-content\/uploads\/sites\/3\/2021\/08\/20210820_Building-AI-Training-Datasets-Through-Automation-Technology_Seung-won-Lee.png\" alt=\"\" class=\"wp-image-1535 size-full\" srcset=\"https:\/\/blog.aiworkx.ai\/en\/wp-content\/uploads\/sites\/3\/2021\/08\/20210820_Building-AI-Training-Datasets-Through-Automation-Technology_Seung-won-Lee.png 415w, https:\/\/blog.aiworkx.ai\/en\/wp-content\/uploads\/sites\/3\/2021\/08\/20210820_Building-AI-Training-Datasets-Through-Automation-Technology_Seung-won-Lee-274x300.png 274w\" sizes=\"auto, (max-width: 415px) 100vw, 415px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p style=\"font-size:22px\"><strong>Seungwon Lee<\/strong><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><strong>Senior Researcher, AI Model Development Team<\/strong><\/p>\n\n\n\n<p style=\"font-size:18px\">Sogang University, Bachelor of Computer Science and Engineering<\/p>\n\n\n\n<p style=\"font-size:18px\">After completing a training class at Testworks, he became interested in social values \u200b\u200band joined Testworks.&nbsp;He is very interested in creating social values through technology.<\/p>\n<\/div><\/div>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Testworks&#8217; automation technology using AI models to build high-quality and large-scale datasets<\/p>\n","protected":false},"author":1,"featured_media":1578,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[23,436,428,28,65,68,84,434,93,438,435,439,437,138],"class_list":["post-1534","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-insight","tag-ai-data-2","tag-ai-ecosystem","tag-ai-model-development","tag-ai-training-dataset","tag-automatic-labeling","tag-automation","tag-data-labeling","tag-data-preprocessing","tag-de-identification","tag-high-quality-data","tag-human-in-the-loop","tag-large-scale-datasets","tag-seungwon-lee","tag-testworks"],"_links":{"self":[{"href":"https:\/\/blog.aiworkx.ai\/en\/wp-json\/wp\/v2\/posts\/1534","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.aiworkx.ai\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.aiworkx.ai\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.aiworkx.ai\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.aiworkx.ai\/en\/wp-json\/wp\/v2\/comments?post=1534"}],"version-history":[{"count":27,"href":"https:\/\/blog.aiworkx.ai\/en\/wp-json\/wp\/v2\/posts\/1534\/revisions"}],"predecessor-version":[{"id":1834,"href":"https:\/\/blog.aiworkx.ai\/en\/wp-json\/wp\/v2\/posts\/1534\/revisions\/1834"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blog.aiworkx.ai\/en\/wp-json\/wp\/v2\/media\/1578"}],"wp:attachment":[{"href":"https:\/\/blog.aiworkx.ai\/en\/wp-json\/wp\/v2\/media?parent=1534"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.aiworkx.ai\/en\/wp-json\/wp\/v2\/categories?post=1534"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.aiworkx.ai\/en\/wp-json\/wp\/v2\/tags?post=1534"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}