{"id":425,"date":"2026-05-01T21:25:35","date_gmt":"2026-05-01T14:25:35","guid":{"rendered":"https:\/\/aichaintech.net\/?p=425"},"modified":"2026-05-01T21:25:38","modified_gmt":"2026-05-01T14:25:38","slug":"phan-tich-xu-huong-dinh-gia-ai-models-2026","status":"publish","type":"post","link":"https:\/\/aichaintech.net\/en\/phan-tich-xu-huong-dinh-gia-ai-models-2026\/","title":{"rendered":"Xu h\u01b0\u1edbng \u0111\u1ecbnh gi\u00e1 AI models 2026 v\u00e0 v\u1ecb th\u1ebf c\u1ee7a c\u00e1c g\u00e3 kh\u1ed5ng l\u1ed3 c\u00f4ng ngh\u1ec7"},"content":{"rendered":"
\"\u0111\u1ecbnh<\/figure>\n\n\n\n

Th\u1ecb tr\u01b0\u1eddng tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o (AI) \u0111ang ch\u1ee9ng ki\u1ebfn s\u1ef1 b\u00f9ng n\u1ed5 v\u1ec1 gi\u00e1 tr\u1ecb, n\u01a1i c\u00e1c m\u00f4 h\u00ecnh AI kh\u00f4ng ch\u1ec9 l\u00e0 c\u00f4ng c\u1ee5 m\u00e0 c\u00f2n l\u00e0 t\u00e0i s\u1ea3n chi\u1ebfn l\u01b0\u1ee3c. Khi c\u00e1c b\u00e1o c\u00e1o t\u00e0i ch\u00ednh v\u00e0 ph\u00e2n t\u00edch chuy\u00ean s\u00e2u li\u00ean t\u1ee5c \u0111\u1ec1 c\u1eadp \u0111\u1ebfn vi\u1ec7c \u0111\u1ecbnh gi\u00e1 AI models<\/strong> \u1edf m\u1ee9c k\u1ef7 l\u1ee5c, vi\u1ec7c n\u1eafm b\u1eaft nh\u1eefng xu h\u01b0\u1edbng n\u00e0y tr\u1edf n\u00ean c\u1ef1c k\u1ef3 quan tr\u1ecdng. B\u00e0i vi\u1ebft n\u00e0y s\u1ebd \u0111i s\u00e2u v\u00e0o ph\u00e2n t\u00edch c\u00e1c m\u00f4 h\u00ecnh h\u00e0ng \u0111\u1ea7u nh\u01b0 Deepseek v\u00e0 Gemini, gi\u00fap \u0111\u1ed9c gi\u1ea3 hi\u1ec3u r\u00f5 nh\u1eefng y\u1ebfu t\u1ed1 n\u00e0o \u0111ang th\u00fac \u0111\u1ea9y s\u1ef1 t\u0103ng tr\u01b0\u1edfng n\u00e0y v\u00e0 \u0111\u00e2u l\u00e0 nh\u1eefng r\u1ee7i ro ti\u1ec1m \u1ea9n trong b\u1ee9c tranh c\u00f4ng ngh\u1ec7 ph\u1ee9c t\u1ea1p n\u00e0y.<\/p>\n\n\n\n

Gi\u1ea3i m\u00e3 xu h\u01b0\u1edbng \u0111\u1ecbnh gi\u00e1 AI models trong k\u1ef7 nguy\u00ean t\u0103ng tr\u01b0\u1edfng n\u00f3ng<\/h2>\n\n\n\n

Trong nh\u1eefng n\u0103m g\u1ea7n \u0111\u00e2y, kh\u00e1i ni\u1ec7m \u0111\u1ecbnh gi\u00e1 AI models<\/strong> \u0111\u00e3 v\u01b0\u1ee3t ra kh\u1ecfi ph\u1ea1m vi t\u00e0i ch\u00ednh truy\u1ec1n th\u1ed1ng, tr\u1edf th\u00e0nh m\u1ed9t th\u01b0\u1edbc \u0111o v\u1ec1 kh\u1ea3 n\u0103ng \u0111\u1ed9t ph\u00e1 v\u00e0 t\u00ednh \u1ee9ng d\u1ee5ng th\u1ef1c t\u1ebf c\u1ee7a c\u00f4ng ngh\u1ec7. Khi ch\u00fang ta n\u00f3i v\u1ec1 vi\u1ec7c c\u00e1c m\u00f4 h\u00ecnh AI c\u00f3 gi\u00e1 tr\u1ecb cao, ch\u00fang ta kh\u00f4ng ch\u1ec9 \u0111ang n\u00f3i v\u1ec1 gi\u00e1 b\u00e1n, m\u00e0 l\u00e0 t\u1ed5ng gi\u00e1 tr\u1ecb kinh t\u1ebf m\u00e0 ch\u00fang c\u00f3 th\u1ec3 t\u1ea1o ra khi \u0111\u01b0\u1ee3c t\u00edch h\u1ee3p v\u00e0o c\u00e1c quy tr\u00ecnh nghi\u1ec7p v\u1ee5 ph\u1ee9c t\u1ea1p. C\u00e1c m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef l\u1edbn (LLMs) ng\u00e0y nay \u0111\u00e3 ph\u00e1t tri\u1ec3n v\u01b0\u1ee3t b\u1eadc, kh\u00f4ng ch\u1ec9 gi\u1edbi h\u1ea1n \u1edf vi\u1ec7c t\u1ea1o v\u0103n b\u1ea3n m\u00e0 c\u00f2n x\u1eed l\u00fd \u0111a ph\u01b0\u01a1ng th\u1ee9c (multimodality), bao g\u1ed3m h\u00ecnh \u1ea3nh, \u00e2m thanh v\u00e0 video.<\/p>\n\n\n\n

S\u1ef1 t\u0103ng tr\u01b0\u1edfng gi\u00e1 tr\u1ecb n\u00e0y \u0111\u1ebfn t\u1eeb nhu c\u1ea7u c\u1ea5p thi\u1ebft c\u1ee7a c\u00e1c ng\u00e0nh c\u00f4ng nghi\u1ec7p ph\u1ea3i t\u1ef1 \u0111\u1ed9ng h\u00f3a quy tr\u00ecnh l\u00e0m vi\u1ec7c, t\u1eeb d\u1ecbch v\u1ee5 t\u00e0i ch\u00ednh, y t\u1ebf cho \u0111\u1ebfn s\u1ea3n xu\u1ea5t. C\u00e1c m\u00f4 h\u00ecnh AI ti\u00ean ti\u1ebfn \u0111\u00f3ng vai tr\u00f2 l\u00e0 b\u1ed9 n\u00e3o trung t\u00e2m, gi\u00fap c\u00e1c doanh nghi\u1ec7p t\u1ed1i \u01b0u h\u00f3a chi ph\u00ed v\u00e0 m\u1edf ra c\u00e1c ngu\u1ed3n doanh thu m\u1edbi. Tuy nhi\u00ean, th\u1ecb tr\u01b0\u1eddng c\u0169ng r\u1ea5t bi\u1ebfn \u0111\u1ed9ng, v\u00e0 c\u00e1c nh\u00e0 \u0111\u1ea7u t\u01b0 c\u1ea7n hi\u1ec3u r\u00f5 s\u1ef1 kh\u00e1c bi\u1ec7t gi\u1eefa gi\u00e1 tr\u1ecb l\u00fd thuy\u1ebft v\u00e0 gi\u00e1 tr\u1ecb th\u1ef1c ti\u1ec5n khi \u0111\u00e1nh gi\u00e1 kh\u1ea3 n\u0103ng th\u01b0\u01a1ng m\u1ea1i h\u00f3a c\u1ee7a m\u1ed9t AI models<\/strong>.<\/p>\n\n\n\n

C\u00e1c y\u1ebfu t\u1ed1 c\u1ed1t l\u00f5i quy\u1ebft \u0111\u1ecbnh gi\u00e1 tr\u1ecb c\u1ee7a c\u00e1c AI models h\u00e0ng \u0111\u1ea7u<\/h2>\n\n\n\n

\u0110\u1ec3 hi\u1ec3u t\u1ea1i sao m\u1ed9t s\u1ed1 m\u00f4 h\u00ecnh nh\u01b0 Deepseek l\u1ea1i \u0111\u01b0\u1ee3c \u0111\u00e1nh gi\u00e1 cao h\u01a1n, ch\u00fang ta c\u1ea7n xem x\u00e9t nh\u1eefng y\u1ebfu t\u1ed1 k\u1ef9 thu\u1eadt v\u00e0 chi\u1ebfn l\u01b0\u1ee3c n\u1eb1m sau c\u00e1c con s\u1ed1. Gi\u00e1 tr\u1ecb c\u1ee7a m\u1ed9t m\u00f4 h\u00ecnh AI kh\u00f4ng ch\u1ec9 ph\u1ee5 thu\u1ed9c v\u00e0o s\u1ed1 l\u01b0\u1ee3ng tham s\u1ed1 (parameter count) m\u00e0 c\u00f2n ph\u1ee5 thu\u1ed9c v\u00e0o hi\u1ec7u su\u1ea5t, kh\u1ea3 n\u0103ng th\u00edch \u1ee9ng v\u00e0 chi ph\u00ed v\u1eadn h\u00e0nh. C\u00e1c nh\u00e0 nghi\u00ean c\u1ee9u hi\u1ec7n t\u1ea1i t\u1eadp trung v\u00e0o vi\u1ec7c t\u1ed1i \u01b0u h\u00f3a kh\u1ea3 n\u0103ng hi\u1ec3u ng\u1eef c\u1ea3nh v\u00e0 gi\u1ea3m thi\u1ec3u \u0111\u1ed9 tr\u1ec5, nh\u1eefng y\u1ebfu t\u1ed1 n\u00e0y \u1ea3nh h\u01b0\u1edfng tr\u1ef1c ti\u1ebfp \u0111\u1ebfn tr\u1ea3i nghi\u1ec7m ng\u01b0\u1eddi d\u00f9ng v\u00e0 t\u00ednh kh\u1ea3 thi trong \u1ee9ng d\u1ee5ng th\u1ef1c t\u1ebf.<\/p>\n\n\n\n

Deepseek: \u0110i\u1ec3m m\u1ea1nh n\u00e0o gi\u00fap Deepseek v\u01b0\u1ee3t tr\u1ed9i?<\/h3>\n\n\n\n

Deepseek n\u1ed5i l\u00ean nh\u01b0 m\u1ed9t v\u00ed d\u1ee5 \u0111i\u1ec3n h\u00ecnh v\u1ec1 s\u1ef1 th\u00e0nh c\u00f4ng d\u1ef1a tr\u00ean chuy\u00ean m\u00f4n h\u00f3a v\u00e0 hi\u1ec7u su\u1ea5t. Thay v\u00ec c\u1ed1 g\u1eafng tr\u1edf th\u00e0nh m\u00f4 h\u00ecnh “v\u1ea1n n\u0103ng” v\u1edbi m\u1ecdi t\u00ednh n\u0103ng, Deepseek t\u1eadp trung t\u1ed1i \u01b0u h\u00f3a hi\u1ec7u su\u1ea5t trong c\u00e1c l\u0129nh v\u1ef1c c\u1ee5 th\u1ec3, \u0111\u1eb7c bi\u1ec7t l\u00e0 kh\u1ea3 n\u0103ng l\u1eadp tr\u00ecnh v\u00e0 hi\u1ec3u logic to\u00e1n h\u1ecdc. S\u1ef1 t\u1ed1i \u01b0u h\u00f3a n\u00e0y gi\u00fap n\u00f3 c\u00f3 m\u1ee9c \u0111\u1ed9 \u1ed5n \u0111\u1ecbnh v\u00e0 \u0111\u1ed9 ch\u00ednh x\u00e1c cao khi \u0111\u01b0\u1ee3c \u00e1p d\u1ee5ng v\u00e0o c\u00e1c t\u00e1c v\u1ee5 k\u1ef9 thu\u1eadt ph\u1ee9c t\u1ea1p, khi\u1ebfn n\u00f3 tr\u1edf th\u00e0nh l\u1ef1a ch\u1ecdn h\u00e0ng \u0111\u1ea7u cho c\u00e1c doanh nghi\u1ec7p c\u00f4ng ngh\u1ec7 cao. B\u00ean c\u1ea1nh \u0111\u00f3, vi\u1ec7c c\u00f4ng b\u1ed1 c\u00e1c nghi\u00ean c\u1ee9u m\u1edf c\u0169ng gi\u00fap c\u1ed9ng \u0111\u1ed3ng ph\u00e1t tri\u1ec3n v\u00e0 c\u1ea3i thi\u1ec7n m\u00f4 h\u00ecnh li\u00ean t\u1ee5c.<\/p>\n\n\n\n

Th\u00e1ch th\u1ee9c c\u1ee7a c\u00e1c \u0111\u1ed1i th\u1ee7: B\u00e0i h\u1ecdc t\u1eeb Gemini?<\/h3>\n\n\n\n

Trong khi c\u00e1c m\u00f4 h\u00ecnh l\u1edbn nh\u01b0 Gemini c\u1ee7a Google th\u1ec3 hi\u1ec7n s\u1ee9c m\u1ea1nh \u0111a ph\u01b0\u01a1ng th\u1ee9c \u1ea5n t\u01b0\u1ee3ng, ch\u00fang c\u0169ng ph\u1ea3i \u0111\u1ed1i m\u1eb7t v\u1edbi th\u00e1ch th\u1ee9c v\u1ec1 t\u00ednh nh\u1ea5t qu\u00e1n v\u00e0 kh\u1ea3 n\u0103ng t\u1ed1i \u01b0u h\u00f3a chi ph\u00ed. Vi\u1ec7c t\u00edch h\u1ee3p qu\u00e1 nhi\u1ec1u t\u00ednh n\u0103ng v\u00e0o m\u1ed9t m\u00f4 h\u00ecnh l\u1edbn \u0111\u00f4i khi d\u1eabn \u0111\u1ebfn s\u1ef1 ph\u1ee9c t\u1ea1p v\u00e0 kh\u00f3 kh\u0103n trong vi\u1ec7c tinh ch\u1ec9nh cho c\u00e1c tr\u01b0\u1eddng h\u1ee3p s\u1eed d\u1ee5ng c\u1ee5 th\u1ec3. B\u00e0i h\u1ecdc quan tr\u1ecdng r\u00fat ra l\u00e0 s\u1ef1 c\u00e2n b\u1eb1ng gi\u1eefa ph\u1ea1m vi t\u00ednh n\u0103ng r\u1ed9ng v\u00e0 kh\u1ea3 n\u0103ng chuy\u00ean s\u00e2u h\u00f3a (specialization) l\u00e0 y\u1ebfu t\u1ed1 s\u1ed1ng c\u00f2n \u0111\u1ec3 duy tr\u00ec gi\u00e1 tr\u1ecb tr\u00ean th\u1ecb tr\u01b0\u1eddng \u0111\u1ea7y c\u1ea1nh tranh n\u00e0y. \u0110\u1ec3 t\u00ecm hi\u1ec3u th\u00eam v\u1ec1 c\u00e1c \u1ee9ng d\u1ee5ng AI th\u1ef1c t\u1ebf, b\u1ea1n c\u00f3 th\u1ec3 tham kh\u1ea3o gi\u1ea3i ph\u00e1p GPU AI t\u1eeb NVIDIA<\/a>.<\/p>\n\n\n\n

T\u1ea7m nh\u00ecn 2026: Chi\u1ebfn l\u01b0\u1ee3c \u0111\u1ec3 t\u1ed1i \u0111a h\u00f3a gi\u00e1 tr\u1ecb t\u1eeb AI models<\/h2>\n\n\n\n

Nh\u00ecn v\u1ec1 n\u0103m 2026, th\u1ecb tr\u01b0\u1eddng AI s\u1ebd kh\u00f4ng ch\u1ec9 l\u00e0 cu\u1ed9c \u0111ua v\u1ec1 s\u1ee9c m\u1ea1nh t\u00ednh to\u00e1n m\u00e0 c\u00f2n l\u00e0 cu\u1ed9c \u0111ua v\u1ec1 kh\u1ea3 n\u0103ng t\u00edch h\u1ee3p v\u00e0 t\u00ednh chuy\u00ean bi\u1ec7t. C\u00e1c doanh nghi\u1ec7p kh\u00f4ng c\u1ea7n ph\u1ea3i s\u1edf h\u1eefu m\u00f4 h\u00ecnh l\u1edbn nh\u1ea5t, m\u00e0 c\u1ea7n s\u1edf h\u1eefu m\u00f4 h\u00ecnh ph\u00f9 h\u1ee3p nh\u1ea5t v\u1edbi quy tr\u00ecnh kinh doanh c\u1ee7a m\u00ecnh. \u0110i\u1ec1u n\u00e0y th\u00fac \u0111\u1ea9y s\u1ef1 ph\u00e1t tri\u1ec3n m\u1ea1nh m\u1ebd c\u1ee7a c\u00e1c m\u00f4 h\u00ecnh ngu\u1ed3n m\u1edf (Open Source) v\u00e0 c\u00e1c gi\u1ea3i ph\u00e1p tinh ch\u1ec9nh (fine-tuning) tr\u00ean n\u1ec1n t\u1ea3ng \u0111\u00e1m m\u00e2y. Vi\u1ec7c hi\u1ec3u r\u00f5 c\u00e1ch \u0111\u1ecbnh gi\u00e1 AI models<\/strong> trong b\u1ed1i c\u1ea3nh n\u00e0y s\u1ebd gi\u00fap c\u00e1c doanh nghi\u1ec7p \u0111\u01b0a ra quy\u1ebft \u0111\u1ecbnh \u0111\u1ea7u t\u01b0 chi\u1ebfn l\u01b0\u1ee3c v\u00e0 tr\u00e1nh r\u01a1i v\u00e0o b\u1eaby c\u1ee7a nh\u1eefng l\u1eddi th\u1ed5i ph\u1ed3ng qu\u00e1 m\u1ee9c.<\/p>\n\n\n\n

\u0110\u1ec3 duy tr\u00ec l\u1ee3i th\u1ebf c\u1ea1nh tranh, c\u00e1c t\u1ed5 ch\u1ee9c c\u1ea7n t\u1eadp trung v\u00e0o vi\u1ec7c x\u00e2y d\u1ef1ng c\u00e1c l\u1edbp \u1ee9ng d\u1ee5ng (application layers) xung quanh c\u00e1c m\u00f4 h\u00ecnh n\u1ec1n t\u1ea3ng (foundation models). Thay v\u00ec ch\u1ec9 s\u1eed d\u1ee5ng AI nh\u01b0 m\u1ed9t t\u00ednh n\u0103ng, n\u00f3 ph\u1ea3i \u0111\u01b0\u1ee3c nh\u00fang s\u00e2u v\u00e0o m\u1ecdi quy tr\u00ecnh ra quy\u1ebft \u0111\u1ecbnh. Ngo\u00e0i ra, vi\u1ec7c qu\u1ea3n l\u00fd d\u1eef li\u1ec7u (data governance) v\u00e0 b\u1ea3o m\u1eadt th\u00f4ng tin c\u00e0ng tr\u1edf n\u00ean quan tr\u1ecdng h\u01a1n bao gi\u1edd h\u1ebft, \u0111\u1eb7c bi\u1ec7t khi c\u00e1c m\u00f4 h\u00ecnh AI x\u1eed l\u00fd c\u00e1c d\u1eef li\u1ec7u nh\u1ea1y c\u1ea3m. \u0110\u1eebng qu\u00ean theo d\u00f5i c\u00e1c nghi\u00ean c\u1ee9u chuy\u00ean s\u00e2u h\u01a1n v\u1ec1 c\u00e1c nghi\u00ean c\u1ee9u c\u1ee7a Google DeepMind<\/a> \u0111\u1ec3 c\u1eadp nh\u1eadt c\u00f4ng ngh\u1ec7 m\u1edbi nh\u1ea5t.<\/p>\n\n\n\n

K\u1ebft lu\u1eadn: T\u01b0\u01a1ng lai c\u1ee7a AI l\u00e0 s\u1ef1 h\u1ee3p t\u00e1c gi\u1eefa c\u00f4ng ngh\u1ec7 v\u00e0 chi\u1ebfn l\u01b0\u1ee3c kinh doanh<\/h2>\n\n\n\n

T\u00f3m l\u1ea1i, s\u1ef1 bi\u1ebfn \u0111\u1ed9ng v\u00e0 nh\u1eefng gi\u00e1 tr\u1ecb \u1ea5n t\u01b0\u1ee3ng trong vi\u1ec7c \u0111\u1ecbnh gi\u00e1 AI models<\/strong> ph\u1ea3n \u00e1nh m\u1ed9t th\u1ecb tr\u01b0\u1eddng \u0111\u1ea7y ti\u1ec1m n\u0103ng nh\u01b0ng c\u0169ng v\u00f4 c\u00f9ng ph\u1ee9c t\u1ea1p. Th\u00e0nh c\u00f4ng trong k\u1ef7 nguy\u00ean AI s\u1ebd \u0111\u1ebfn v\u1edbi nh\u1eefng ng\u01b0\u1eddi kh\u00f4ng ch\u1ec9 theo d\u00f5i c\u00e1c con s\u1ed1 k\u1ef7 l\u1ee5c m\u00e0 c\u00f2n bi\u1ebft c\u00e1ch k\u1ebft h\u1ee3p c\u00e1c m\u00f4 h\u00ecnh AI m\u1ea1nh m\u1ebd v\u1edbi m\u1ed9t chi\u1ebfn l\u01b0\u1ee3c kinh doanh r\u00f5 r\u00e0ng v\u00e0 kh\u1ea3 n\u0103ng th\u00edch \u1ee9ng cao. \u0110i\u1ec1u quan tr\u1ecdng l\u00e0 ph\u1ea3i xem AI l\u00e0 m\u1ed9t \u0111\u1ed1i t\u00e1c chi\u1ebfn l\u01b0\u1ee3c, ch\u1ee9 kh\u00f4ng ch\u1ec9 l\u00e0 m\u1ed9t c\u00f4ng c\u1ee5 c\u00f4ng ngh\u1ec7 \u0111\u01a1n thu\u1ea7n.<\/p>\n\n\n\n

Theo b\u1ea1n, y\u1ebfu t\u1ed1 n\u00e0o s\u1ebd l\u00e0 r\u00e0o c\u1ea3n l\u1edbn nh\u1ea5t \u0111\u1ed1i v\u1edbi vi\u1ec7c \u1ee9ng d\u1ee5ng AI r\u1ed9ng r\u00e3i trong c\u00e1c doanh nghi\u1ec7p Vi\u1ec7t Nam: chi ph\u00ed c\u00f4ng ngh\u1ec7, ngu\u1ed3n nh\u00e2n l\u1ef1c hay v\u1ea5n \u0111\u1ec1 qu\u1ea3n l\u00fd d\u1eef li\u1ec7u?<\/p>\n\n\n\n\n\n

<\/p>","protected":false},"excerpt":{"rendered":"

Theo d\u00f5i b\u00e1o c\u00e1o m\u1edbi nh\u1ea5t v\u1ec1 \u0111\u1ecbnh gi\u00e1 AI models 2026. B\u00e0i vi\u1ebft ph\u00e2n t\u00edch Deepseek, Gemini v\u00e0 nh\u1eefng y\u1ebfu t\u1ed1 c\u1ed1t l\u00f5i quy\u1ebft \u0111\u1ecbnh gi\u00e1 tr\u1ecb c\u1ee7a c\u00e1c m\u00f4 h\u00ecnh AI ti\u00ean ti\u1ebfn.<\/p>","protected":false},"author":1,"featured_media":424,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[2],"tags":[19,39,83,33,35],"class_list":["post-425","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-news","tag-ai","tag-cong-nghe","tag-dinh-gia-ai","tag-llm","tag-tri-tue-nhan-tao"],"acf":[],"_links":{"self":[{"href":"https:\/\/aichaintech.net\/en\/wp-json\/wp\/v2\/posts\/425","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aichaintech.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aichaintech.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aichaintech.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/aichaintech.net\/en\/wp-json\/wp\/v2\/comments?post=425"}],"version-history":[{"count":2,"href":"https:\/\/aichaintech.net\/en\/wp-json\/wp\/v2\/posts\/425\/revisions"}],"predecessor-version":[{"id":427,"href":"https:\/\/aichaintech.net\/en\/wp-json\/wp\/v2\/posts\/425\/revisions\/427"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/aichaintech.net\/en\/wp-json\/wp\/v2\/media\/424"}],"wp:attachment":[{"href":"https:\/\/aichaintech.net\/en\/wp-json\/wp\/v2\/media?parent=425"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aichaintech.net\/en\/wp-json\/wp\/v2\/categories?post=425"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aichaintech.net\/en\/wp-json\/wp\/v2\/tags?post=425"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}