{"id":478914,"date":"2023-08-09T09:40:12","date_gmt":"2023-08-09T09:40:12","guid":{"rendered":""},"modified":"2023-09-05T11:17:47","modified_gmt":"2023-09-05T11:17:47","slug":"self-supervised-learning","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/vn\/wiki\/self-supervised-learning\/","title":{"rendered":"H\u1ecdc t\u1eadp t\u1ef1 gi\u00e1m s\u00e1t"},"content":{"rendered":"<p>H\u1ecdc t\u1ef1 gi\u00e1m s\u00e1t l\u00e0 m\u1ed9t lo\u1ea1i m\u00f4 h\u00ecnh h\u1ecdc m\u00e1y h\u1ecdc c\u00e1ch d\u1ef1 \u0111o\u00e1n m\u1ed9t ph\u1ea7n d\u1eef li\u1ec7u t\u1eeb c\u00e1c ph\u1ea7n kh\u00e1c c\u1ee7a c\u00f9ng m\u1ed9t d\u1eef li\u1ec7u. \u0110\u00e2y l\u00e0 m\u1ed9t t\u1eadp h\u1ee3p con h\u1ecdc t\u1eadp kh\u00f4ng gi\u00e1m s\u00e1t, kh\u00f4ng y\u00eau c\u1ea7u c\u00e1c ph\u1ea3n h\u1ed3i \u0111\u01b0\u1ee3c d\u00e1n nh\u00e3n cho c\u00e1c m\u00f4 h\u00ecnh \u0111\u00e0o t\u1ea1o. C\u00e1c m\u00f4 h\u00ecnh \u0111\u01b0\u1ee3c \u0111\u00e0o t\u1ea1o \u0111\u1ec3 d\u1ef1 \u0111o\u00e1n m\u1ed9t ph\u1ea7n d\u1eef li\u1ec7u d\u1ef1a tr\u00ean c\u00e1c ph\u1ea7n kh\u00e1c, s\u1eed d\u1ee5ng ch\u00ednh d\u1eef li\u1ec7u \u0111\u00f3 l\u00e0m c\u01a1 s\u1edf gi\u00e1m s\u00e1t m\u1ed9t c\u00e1ch hi\u1ec7u qu\u1ea3.<\/p>\n<h2>L\u1ecbch s\u1eed ngu\u1ed3n g\u1ed1c c\u1ee7a vi\u1ec7c h\u1ecdc t\u1ef1 gi\u00e1m s\u00e1t v\u00e0 s\u1ef1 \u0111\u1ec1 c\u1eadp \u0111\u1ea7u ti\u00ean v\u1ec1 n\u00f3<\/h2>\n<p>Kh\u00e1i ni\u1ec7m h\u1ecdc t\u1ef1 gi\u00e1m s\u00e1t c\u00f3 th\u1ec3 b\u1eaft ngu\u1ed3n t\u1eeb s\u1ef1 xu\u1ea5t hi\u1ec7n c\u1ee7a c\u00e1c k\u1ef9 thu\u1eadt h\u1ecdc kh\u00f4ng gi\u00e1m s\u00e1t v\u00e0o cu\u1ed1i th\u1ebf k\u1ef7 20. N\u00f3 ra \u0111\u1eddi t\u1eeb nhu c\u1ea7u lo\u1ea1i b\u1ecf quy tr\u00ecnh ghi nh\u00e3n th\u1ee7 c\u00f4ng t\u1ed1n k\u00e9m v\u00e0 t\u1ed1n th\u1eddi gian. \u0110\u1ea7u nh\u1eefng n\u0103m 2000 ch\u1ee9ng ki\u1ebfn s\u1ef1 quan t\u00e2m ng\u00e0y c\u00e0ng t\u0103ng \u0111\u1ed1i v\u1edbi c\u00e1c ph\u01b0\u01a1ng ph\u00e1p t\u1ef1 gi\u00e1m s\u00e1t, khi c\u00e1c nh\u00e0 nghi\u00ean c\u1ee9u kh\u00e1m ph\u00e1 nhi\u1ec1u k\u1ef9 thu\u1eadt kh\u00e1c nhau c\u00f3 th\u1ec3 s\u1eed d\u1ee5ng d\u1eef li\u1ec7u ch\u01b0a \u0111\u01b0\u1ee3c g\u1eafn nh\u00e3n m\u1ed9t c\u00e1ch hi\u1ec7u qu\u1ea3.<\/p>\n<h2>Th\u00f4ng tin chi ti\u1ebft v\u1ec1 H\u1ecdc t\u1eadp t\u1ef1 gi\u00e1m s\u00e1t: M\u1edf r\u1ed9ng ch\u1ee7 \u0111\u1ec1 H\u1ecdc t\u1eadp t\u1ef1 gi\u00e1m s\u00e1t<\/h2>\n<p>H\u1ecdc t\u1eadp t\u1ef1 gi\u00e1m s\u00e1t d\u1ef1a tr\u00ean \u00fd t\u01b0\u1edfng r\u1eb1ng b\u1ea3n th\u00e2n d\u1eef li\u1ec7u ch\u1ee9a \u0111\u1ee7 th\u00f4ng tin \u0111\u1ec3 cung c\u1ea5p s\u1ef1 gi\u00e1m s\u00e1t cho vi\u1ec7c h\u1ecdc. B\u1eb1ng c\u00e1ch x\u00e2y d\u1ef1ng m\u1ed9t nhi\u1ec7m v\u1ee5 h\u1ecdc t\u1eadp t\u1eeb d\u1eef li\u1ec7u, c\u00e1c m\u00f4 h\u00ecnh c\u00f3 th\u1ec3 h\u1ecdc c\u00e1c c\u00e1ch bi\u1ec3u di\u1ec5n, m\u1eabu v\u00e0 c\u1ea5u tr\u00fac. N\u00f3 \u0111\u00e3 tr\u1edf n\u00ean r\u1ea5t ph\u1ed5 bi\u1ebfn trong c\u00e1c l\u0129nh v\u1ef1c nh\u01b0 th\u1ecb gi\u00e1c m\u00e1y t\u00ednh, x\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean, v.v.<\/p>\n<h3>Ph\u01b0\u01a1ng ph\u00e1p h\u1ecdc t\u1eadp t\u1ef1 gi\u00e1m s\u00e1t<\/h3>\n<ul>\n<li><strong>H\u1ecdc t\u1eadp t\u01b0\u01a1ng ph\u1ea3n<\/strong>: H\u1ecdc c\u00e1ch ph\u00e2n bi\u1ec7t gi\u1eefa c\u00e1c c\u1eb7p gi\u1ed1ng nhau v\u00e0 kh\u00e1c nhau.<\/li>\n<li><strong>M\u00f4 h\u00ecnh t\u1ef1 h\u1ed3i quy<\/strong>: D\u1ef1 \u0111o\u00e1n c\u00e1c ph\u1ea7n ti\u1ebfp theo c\u1ee7a d\u1eef li\u1ec7u d\u1ef1a tr\u00ean c\u00e1c ph\u1ea7n tr\u01b0\u1edbc \u0111\u00f3.<\/li>\n<li><strong>M\u00f4 h\u00ecnh s\u00e1ng t\u1ea1o<\/strong>: T\u1ea1o c\u00e1c phi\u00ean b\u1ea3n d\u1eef li\u1ec7u m\u1edbi gi\u1ed1ng v\u1edbi m\u1ed9t t\u1eadp h\u1ee3p c\u00e1c v\u00ed d\u1ee5 hu\u1ea5n luy\u1ec7n nh\u1ea5t \u0111\u1ecbnh.<\/li>\n<\/ul>\n<h2>C\u1ea5u tr\u00fac b\u00ean trong c\u1ee7a vi\u1ec7c h\u1ecdc t\u1ef1 gi\u00e1m s\u00e1t: C\u00e1ch th\u1ee9c ho\u1ea1t \u0111\u1ed9ng c\u1ee7a vi\u1ec7c h\u1ecdc t\u1ef1 gi\u00e1m s\u00e1t<\/h2>\n<p>H\u1ecdc t\u1eadp t\u1ef1 gi\u00e1m s\u00e1t bao g\u1ed3m ba th\u00e0nh ph\u1ea7n ch\u00ednh:<\/p>\n<ol>\n<li><strong>Ti\u1ec1n x\u1eed l\u00fd d\u1eef li\u1ec7u<\/strong>: Ph\u00e2n chia d\u1eef li\u1ec7u th\u00e0nh nhi\u1ec1u ph\u1ea7n kh\u00e1c nhau \u0111\u1ec3 d\u1ef1 \u0111o\u00e1n.<\/li>\n<li><strong>\u0110\u00e0o t\u1ea1o ng\u01b0\u1eddi m\u1eabu<\/strong>: Hu\u1ea5n luy\u1ec7n m\u00f4 h\u00ecnh \u0111\u1ec3 d\u1ef1 \u0111o\u00e1n ph\u1ea7n n\u00e0y v\u1edbi ph\u1ea7n kh\u00e1c.<\/li>\n<li><strong>Tinh ch\u1ec9nh<\/strong>: S\u1eed d\u1ee5ng c\u00e1c bi\u1ec3u di\u1ec5n \u0111\u00e3 h\u1ecdc cho c\u00e1c nhi\u1ec7m v\u1ee5 ti\u1ebfp theo.<\/li>\n<\/ol>\n<h2>Ph\u00e2n t\u00edch c\u00e1c \u0111\u1eb7c \u0111i\u1ec3m ch\u00ednh c\u1ee7a vi\u1ec7c h\u1ecdc t\u1ef1 gi\u00e1m s\u00e1t<\/h2>\n<ul>\n<li><strong>Hi\u1ec7u qu\u1ea3 d\u1eef li\u1ec7u<\/strong>: S\u1eed d\u1ee5ng d\u1eef li\u1ec7u ch\u01b0a \u0111\u01b0\u1ee3c g\u1eafn nh\u00e3n, gi\u1ea3m chi ph\u00ed.<\/li>\n<li><strong>T\u00ednh linh ho\u1ea1t<\/strong>: \u00c1p d\u1ee5ng cho nhi\u1ec1u l\u0129nh v\u1ef1c kh\u00e1c nhau.<\/li>\n<li><strong>Chuy\u1ec3n ti\u1ebfp h\u1ecdc t\u1eadp<\/strong>: Khuy\u1ebfn kh\u00edch c\u00e1c bi\u1ec3u di\u1ec5n h\u1ecdc t\u1eadp kh\u00e1i qu\u00e1t h\u00f3a qua c\u00e1c nhi\u1ec7m v\u1ee5.<\/li>\n<li><strong>\u0110\u1ed9 b\u1ec1n<\/strong>: Th\u01b0\u1eddng t\u1ea1o ra c\u00e1c m\u00f4 h\u00ecnh c\u00f3 kh\u1ea3 n\u0103ng ch\u1ed1ng \u1ed3n.<\/li>\n<\/ul>\n<h2>C\u00e1c lo\u1ea1i h\u00ecnh h\u1ecdc t\u1eadp t\u1ef1 gi\u00e1m s\u00e1t: S\u1eed d\u1ee5ng b\u1ea3ng v\u00e0 danh s\u00e1ch \u0111\u1ec3 vi\u1ebft<\/h2>\n<table>\n<thead>\n<tr>\n<th>Ki\u1ec3u<\/th>\n<th>S\u1ef1 mi\u00eau t\u1ea3<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>t\u01b0\u01a1ng ph\u1ea3n<\/td>\n<td>Ph\u00e2n bi\u1ec7t c\u00e1c tr\u01b0\u1eddng h\u1ee3p gi\u1ed1ng v\u00e0 kh\u00e1c nhau.<\/td>\n<\/tr>\n<tr>\n<td>t\u1ef1 tho\u00e1i lui<\/td>\n<td>D\u1ef1 \u0111o\u00e1n tu\u1ea7n t\u1ef1 trong d\u1eef li\u1ec7u chu\u1ed7i th\u1eddi gian.<\/td>\n<\/tr>\n<tr>\n<td>s\u00e1ng t\u1ea1o<\/td>\n<td>T\u1ea1o c\u00e1c phi\u00ean b\u1ea3n m\u1edbi gi\u1ed1ng v\u1edbi d\u1eef li\u1ec7u hu\u1ea5n luy\u1ec7n.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>C\u00e1ch s\u1eed d\u1ee5ng H\u1ecdc t\u1eadp t\u1ef1 gi\u00e1m s\u00e1t, c\u00e1c v\u1ea5n \u0111\u1ec1 v\u00e0 gi\u1ea3i ph\u00e1p li\u00ean quan \u0111\u1ebfn vi\u1ec7c s\u1eed d\u1ee5ng<\/h2>\n<h3>C\u00e1ch s\u1eed d\u1ee5ng<\/h3>\n<ul>\n<li><strong>H\u1ecdc t\u00ednh n\u0103ng<\/strong>: Tr\u00edch xu\u1ea5t c\u00e1c t\u00ednh n\u0103ng c\u00f3 \u00fd ngh\u0129a.<\/li>\n<li><strong>M\u00f4 h\u00ecnh \u0111\u00e0o t\u1ea1o tr\u01b0\u1edbc<\/strong>: \u0110\u1ed1i v\u1edbi c\u00e1c nhi\u1ec7m v\u1ee5 \u0111\u01b0\u1ee3c gi\u00e1m s\u00e1t xu\u00f4i d\u00f2ng.<\/li>\n<li><strong>T\u0103ng c\u01b0\u1eddng d\u1eef li\u1ec7u<\/strong>: T\u0103ng c\u01b0\u1eddng t\u1eadp d\u1eef li\u1ec7u.<\/li>\n<\/ul>\n<h3>V\u1ea5n \u0111\u1ec1 v\u00e0 gi\u1ea3i ph\u00e1p<\/h3>\n<ul>\n<li><strong>Trang b\u1ecb qu\u00e1 m\u1ee9c<\/strong>: K\u1ef9 thu\u1eadt ch\u00ednh quy h\u00f3a c\u00f3 th\u1ec3 gi\u1ea3m thi\u1ec3u vi\u1ec7c trang b\u1ecb qu\u00e1 m\u1ee9c.<\/li>\n<li><strong>Chi ph\u00ed t\u00ednh to\u00e1n<\/strong>: C\u00e1c m\u00f4 h\u00ecnh hi\u1ec7u qu\u1ea3 v\u00e0 kh\u1ea3 n\u0103ng t\u0103ng t\u1ed1c ph\u1ea7n c\u1ee9ng c\u00f3 th\u1ec3 l\u00e0m gi\u1ea3m b\u1edbt c\u00e1c v\u1ea5n \u0111\u1ec1 v\u1ec1 t\u00ednh to\u00e1n.<\/li>\n<\/ul>\n<h2>C\u00e1c \u0111\u1eb7c \u0111i\u1ec3m ch\u00ednh v\u00e0 nh\u1eefng so s\u00e1nh kh\u00e1c v\u1edbi c\u00e1c thu\u1eadt ng\u1eef t\u01b0\u01a1ng t\u1ef1<\/h2>\n<table>\n<thead>\n<tr>\n<th>\u0110\u1eb7c tr\u01b0ng<\/th>\n<th>H\u1ecdc t\u1eadp t\u1ef1 gi\u00e1m s\u00e1t<\/th>\n<th>H\u1ecdc t\u1eadp c\u00f3 gi\u00e1m s\u00e1t<\/th>\n<th>H\u1ecdc kh\u00f4ng gi\u00e1m s\u00e1t<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Y\u00eau c\u1ea7u ghi nh\u00e3n<\/td>\n<td>KH\u00d4NG<\/td>\n<td>\u0110\u00fang<\/td>\n<td>KH\u00d4NG<\/td>\n<\/tr>\n<tr>\n<td>Hi\u1ec7u qu\u1ea3 d\u1eef li\u1ec7u<\/td>\n<td>Cao<\/td>\n<td>Th\u1ea5p<\/td>\n<td>Trung b\u00ecnh<\/td>\n<\/tr>\n<tr>\n<td>Chuy\u1ec3n ti\u1ebfp h\u1ecdc t\u1eadp<\/td>\n<td>Th\u01b0\u1eddng<\/td>\n<td>Th\u1ec9nh tho\u1ea3ng<\/td>\n<td>Hi\u1ebfm khi<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Quan \u0111i\u1ec3m v\u00e0 c\u00f4ng ngh\u1ec7 c\u1ee7a t\u01b0\u01a1ng lai li\u00ean quan \u0111\u1ebfn vi\u1ec7c h\u1ecdc t\u1ef1 gi\u00e1m s\u00e1t<\/h2>\n<p>Nh\u1eefng ph\u00e1t tri\u1ec3n trong t\u01b0\u01a1ng lai v\u1ec1 h\u1ecdc t\u1eadp t\u1ef1 gi\u00e1m s\u00e1t bao g\u1ed3m c\u00e1c thu\u1eadt to\u00e1n hi\u1ec7u qu\u1ea3 h\u01a1n, t\u00edch h\u1ee3p v\u1edbi c\u00e1c m\u00f4 h\u00ecnh h\u1ecdc t\u1eadp kh\u00e1c, c\u1ea3i ti\u1ebfn k\u1ef9 thu\u1eadt h\u1ecdc t\u1eadp chuy\u1ec3n giao v\u00e0 \u1ee9ng d\u1ee5ng v\u00e0o c\u00e1c l\u0129nh v\u1ef1c r\u1ed9ng h\u01a1n nh\u01b0 robot v\u00e0 y h\u1ecdc.<\/p>\n<h2>C\u00e1ch s\u1eed d\u1ee5ng ho\u1eb7c li\u00ean k\u1ebft m\u00e1y ch\u1ee7 proxy v\u1edbi vi\u1ec7c h\u1ecdc t\u1ef1 gi\u00e1m s\u00e1t<\/h2>\n<p>C\u00e1c m\u00e1y ch\u1ee7 proxy gi\u1ed1ng nh\u01b0 c\u00e1c m\u00e1y ch\u1ee7 do OneProxy cung c\u1ea5p c\u00f3 th\u1ec3 h\u1ed7 tr\u1ee3 vi\u1ec7c h\u1ecdc t\u1eadp t\u1ef1 gi\u00e1m s\u00e1t theo nhi\u1ec1u c\u00e1ch kh\u00e1c nhau. Ch\u00fang cho ph\u00e9p thu th\u1eadp d\u1eef li\u1ec7u an to\u00e0n v\u00e0 hi\u1ec7u qu\u1ea3 t\u1eeb nhi\u1ec1u ngu\u1ed3n tr\u1ef1c tuy\u1ebfn kh\u00e1c nhau, cho ph\u00e9p thu th\u1eadp l\u01b0\u1ee3ng l\u1edbn d\u1eef li\u1ec7u ch\u01b0a \u0111\u01b0\u1ee3c g\u1eafn nh\u00e3n c\u1ea7n thi\u1ebft cho vi\u1ec7c h\u1ecdc t\u1ef1 gi\u00e1m s\u00e1t. H\u01a1n n\u1eefa, h\u1ecd c\u00f3 th\u1ec3 h\u1ed7 tr\u1ee3 \u0111\u00e0o t\u1ea1o m\u00f4 h\u00ecnh ph\u00e2n t\u00e1n \u1edf c\u00e1c khu v\u1ef1c kh\u00e1c nhau.<\/p>\n<h2>Li\u00ean k\u1ebft li\u00ean quan<\/h2>\n<ul>\n<li><a href=\"https:\/\/deepmind.com\/blog\" target=\"_new\" rel=\"noopener nofollow\">Blog c\u1ee7a DeepMind v\u1ec1 H\u1ecdc t\u1eadp t\u1ef1 gi\u00e1m s\u00e1t<\/a><\/li>\n<li><a href=\"https:\/\/openai.com\/research\" target=\"_new\" rel=\"noopener nofollow\">Nghi\u00ean c\u1ee9u c\u1ee7a OpenAI v\u1ec1 h\u1ecdc t\u1eadp t\u1ef1 gi\u00e1m s\u00e1t<\/a><\/li>\n<li><a href=\"https:\/\/yann.lecun.com\" target=\"_new\" rel=\"noopener nofollow\">Nghi\u00ean c\u1ee9u c\u1ee7a Yann LeCun v\u1ec1 H\u1ecdc t\u1eadp t\u1ef1 gi\u00e1m s\u00e1t<\/a><\/li>\n<\/ul>\n<p>B\u00e0i vi\u1ebft n\u00e0y \u0111\u01b0\u1ee3c t\u00e0i tr\u1ee3 b\u1edfi <a href=\"https:\/\/oneproxy.pro\/vn\/\" target=\"_new\" rel=\"noopener\">OneProxy<\/a>, cung c\u1ea5p m\u00e1y ch\u1ee7 proxy h\u00e0ng \u0111\u1ea7u cho nhu c\u1ea7u d\u1ef1a tr\u00ean d\u1eef li\u1ec7u c\u1ee7a b\u1ea1n.<\/p>","protected":false},"featured_media":470447,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-478914","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Self-supervised Learning<\/mark>","faq_items":[{"question":"What is Self-supervised Learning?","answer":"<p>Self-supervised learning is a machine learning approach that uses the data itself as supervision. It's a subset of unsupervised learning where models are trained to predict part of the data from other parts of the same data, without needing manually labeled responses.<\/p>"},{"question":"What is the History of Self-supervised Learning?","answer":"<p>Self-supervised learning originated from the need to bypass the expensive process of manual labeling. It traces back to the emergence of unsupervised learning techniques in the late 20th century, with significant growth in interest and application in the early 2000s.<\/p>"},{"question":"How Does Self-supervised Learning Work?","answer":"<p>Self-supervised learning works by dividing data into parts and training a model to predict one part from the others. It includes data preprocessing, model training, and fine-tuning the learned representations for specific tasks.<\/p>"},{"question":"What Are the Key Features of Self-supervised Learning?","answer":"<p>The key features include data efficiency by utilizing unlabeled data, versatility across various domains, enabling transfer learning, and robustness to noise.<\/p>"},{"question":"What Types of Self-supervised Learning Exist?","answer":"<p>There are various types, including Contrastive learning, which differentiates similar and dissimilar instances; Autoregressive models, which make sequential predictions; and Generative models that create new instances resembling the training data.<\/p>"},{"question":"How Can Self-supervised Learning Be Used, and What Are the Related Problems?","answer":"<p>It can be used for feature learning, pretraining models, and data augmentation. Problems may include overfitting and computational costs, with solutions such as regularization techniques and hardware acceleration.<\/p>"},{"question":"How Does Self-supervised Learning Compare with Other Learning Methods?","answer":"<p>Self-supervised learning does not require labeling, offers high data efficiency, and often supports transfer learning, compared to supervised learning, which requires labeling, and unsupervised learning, which has medium data efficiency.<\/p>"},{"question":"What Are the Future Perspectives of Self-supervised Learning?","answer":"<p>The future may see more efficient algorithms, integration with other learning paradigms, improved transfer learning techniques, and broader applications, including robotics and medicine.<\/p>"},{"question":"How Can Proxy Servers Like OneProxy Be Associated with Self-supervised Learning?","answer":"<p>Proxy servers like OneProxy can facilitate self-supervised learning by enabling secure and efficient data scraping, allowing the collection of vast amounts of unlabeled data, and aiding in distributed training of models across different regions.<\/p>"},{"question":"Where Can I Find More Information About Self-supervised Learning?","answer":"<p>You can find more information through various research blogs and institutions such as <a href=\"https:\/\/deepmind.com\/blog\" target=\"_new\">DeepMind's Blog on Self-supervised Learning<\/a>, <a href=\"https:\/\/openai.com\/research\" target=\"_new\">OpenAI's Research on Self-supervised Learning<\/a>, and <a href=\"https:\/\/yann.lecun.com\" target=\"_new\">Yann LeCun's work on Self-supervised Learning<\/a>.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki\/478914","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki\/478914\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media\/470447"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media?parent=478914"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}