{"id":78987,"date":"2026-05-12T08:57:34","date_gmt":"2026-05-12T01:57:34","guid":{"rendered":"https:\/\/hbbgroup.net\/baidus-new-ai-is-already-beating-top-models-and-cost-94-less-to-build\/"},"modified":"2026-05-12T09:57:00","modified_gmt":"2026-05-12T02:57:00","slug":"baidus-new-ai-is-already-beating-top-models-and-cost-94-less-to-build","status":"publish","type":"post","link":"https:\/\/hbbgroup.net\/zh\/baidus-new-ai-is-already-beating-top-models-and-cost-94-less-to-build\/","title":{"rendered":"Baidu cho bi\u1ebft AI m\u1edbi c\u1ee7a h\u1ecd \u0111\u00e3 v\u01b0\u1ee3t qua nhi\u1ec1u m\u00f4 h\u00ecnh h\u00e0ng \u0111\u1ea7u hi\u1ec7n nay trong khi chi ph\u00ed x\u00e2y d\u1ef1ng th\u1ea5p h\u01a1n t\u1edbi 94%."},"content":{"rendered":"<div>\n<p><strong>T\u00f3m t\u1eaft nhanh<\/strong><\/p>\n<ul>\n<li>Baidu cho bi\u1ebft chi ph\u00ed pre-training c\u1ee7a ERNIE 5.1 ch\u1ec9 b\u1eb1ng kho\u1ea3ng 6% so v\u1edbi c\u00e1c m\u00f4 h\u00ecnh AI t\u01b0\u01a1ng \u0111\u01b0\u01a1ng.<\/li>\n<li>D\u00f9 v\u1eady, m\u00f4 h\u00ecnh n\u00e0y hi\u1ec7n x\u1ebfp h\u1ea1ng th\u1ee9 4 to\u00e0n c\u1ea7u tr\u00ean b\u1ea3ng x\u1ebfp h\u1ea1ng LMArena Search.<\/li>\n<li>Baidu \u0111\u00e3 n\u00e9n m\u00f4 h\u00ecnh xu\u1ed1ng ch\u1ec9 c\u00f2n kho\u1ea3ng m\u1ed9t ph\u1ea7n ba s\u1ed1 l\u01b0\u1ee3ng tham s\u1ed1 c\u1ee7a phi\u00ean b\u1ea3n ti\u1ec1n nhi\u1ec7m ERNIE 5.0 m\u00e0 v\u1eabn gi\u1eef \u0111\u01b0\u1ee3c hi\u1ec7u n\u0103ng c\u1ea5p flagship.<\/li>\n<\/ul>\n<p>Baidu \u2014 \u201cGoogle c\u1ee7a Trung Qu\u1ed1c\u201d \u2014 ch\u00ednh th\u1ee9c ra m\u1eaft ERNIE 5.1 v\u00e0o cu\u1ed1i tu\u1ea7n tr\u01b0\u1edbc, v\u00e0 con s\u1ed1 g\u00e2y ch\u00fa \u00fd nh\u1ea5t g\u1ea7n nh\u01b0 kh\u00f4ng th\u1ec3 b\u1ecf qua: m\u00f4 h\u00ecnh n\u00e0y c\u00f3 chi ph\u00ed hu\u1ea5n luy\u1ec7n th\u1ea5p h\u01a1n kho\u1ea3ng 94% so v\u1edbi c\u00e1c h\u1ec7 th\u1ed1ng AI c\u00f9ng quy m\u00f4.<\/p>\n<p>\u0110\u1ec3 d\u1ec5 h\u00ecnh dung, vi\u1ec7c hu\u1ea5n luy\u1ec7n m\u1ed9t m\u00f4 h\u00ecnh AI ti\u00ean ti\u1ebfn hi\u1ec7n nay th\u01b0\u1eddng ti\u00eau t\u1ed1n t\u1eeb h\u00e0ng tri\u1ec7u cho \u0111\u1ebfn h\u00e0ng t\u1ef7 USD chi ph\u00ed t\u00ednh to\u00e1n. Baidu \u2014 c\u00f4ng ty \u0111ang ki\u1ec3m so\u00e1t h\u01a1n 76% th\u1ecb ph\u1ea7n t\u00ecm ki\u1ebfm t\u1ea1i Trung Qu\u1ed1c v\u00e0 \u0111\u01b0\u1ee3c ni\u00eam y\u1ebft tr\u00ean Nasdaq v\u1edbi m\u00e3 BIDU \u2014 tuy\u00ean b\u1ed1 r\u1eb1ng h\u1ecd \u0111\u00e3 \u0111\u1ea1t \u0111\u01b0\u1ee3c c\u00f9ng c\u1ea5p \u0111\u1ed9 hi\u1ec7u n\u0103ng v\u1edbi ch\u1ec9 kho\u1ea3ng 1\/20 chi ph\u00ed th\u00f4ng th\u01b0\u1eddng.<\/p>\n<p>B\u00ed quy\u1ebft n\u1eb1m \u1edf k\u1ef9 thu\u1eadt \u0111\u01b0\u1ee3c g\u1ecdi l\u00e0 \u201cmulti-dimensional elastic pre-training.\u201d Thay v\u00ec x\u00e2y d\u1ef1ng ERNIE 5.1 t\u1eeb \u0111\u1ea7u, Baidu \u0111\u00e3 tr\u00edch xu\u1ea5t m\u1ed9t sub-network t\u1ed1i \u01b0u h\u00f3a t\u1eeb ki\u1ebfn tr\u00fac ERNIE 5.0 hi\u1ec7n c\u00f3 \u2014 phi\u00ean b\u1ea3n \u0111\u01b0\u1ee3c ph\u00e1t h\u00e0nh v\u00e0o th\u00e1ng 1\/2026 \u2014 r\u1ed3i ti\u1ebfn h\u00e0nh n\u00e9n m\u00f4 h\u00ecnh l\u1ea1i. T\u1ed5ng s\u1ed1 tham s\u1ed1 gi\u1ea3m xu\u1ed1ng c\u00f2n kho\u1ea3ng m\u1ed9t ph\u1ea7n ba so v\u1edbi b\u1ea3n g\u1ed1c. C\u00e1c tham s\u1ed1 ho\u1ea1t \u0111\u1ed9ng th\u1ef1c t\u1ebf (nh\u1eefng tham s\u1ed1 tr\u1ef1c ti\u1ebfp x\u1eed l\u00fd h\u1ed9i tho\u1ea1i) c\u0169ng b\u1ecb c\u1eaft gi\u1ea3m m\u1ed9t n\u1eeda. K\u1ebft qu\u1ea3 l\u00e0 m\u1ed9t m\u00f4 h\u00ecnh g\u1ecdn nh\u1eb9 h\u01a1n nh\u01b0ng v\u1eabn k\u1ebf th\u1eeba \u0111\u01b0\u1ee3c n\u1ec1n t\u1ea3ng tri th\u1ee9c c\u1ee7a phi\u00ean b\u1ea3n l\u1edbn h\u01a1n m\u00e0 kh\u00f4ng c\u1ea7n l\u1eb7p l\u1ea1i to\u00e0n b\u1ed9 chi ph\u00ed hu\u1ea5n luy\u1ec7n ban \u0111\u1ea7u.<\/p>\n<p>Tr\u00ean b\u1ea3ng x\u1ebfp h\u1ea1ng LMArena Search Arena \u2014 n\u01a1i ng\u01b0\u1eddi d\u00f9ng th\u1ef1c t\u1ebf so s\u00e1nh c\u00e1c m\u00f4 h\u00ecnh AI trong c\u00e1c t\u00e1c v\u1ee5 t\u00ecm ki\u1ebfm web tr\u1ef1c ti\u1ebfp v\u00e0 \u0111\u01b0\u1ee3c ch\u1ea5m \u0111i\u1ec3m d\u1ef1a tr\u00ean s\u1edf th\u00edch c\u1ee7a con ng\u01b0\u1eddi \u2014 ERNIE 5.1 \u0111\u1ea1t \u0111i\u1ec3m s\u1ed1 1.223, \u0111\u1ee9ng th\u1ee9 4 to\u00e0n c\u1ea7u v\u00e0 \u0111\u1ee9ng \u0111\u1ea7u trong s\u1ed1 t\u1ea5t c\u1ea3 c\u00e1c m\u00f4 h\u00ecnh AI Trung Qu\u1ed1c. Kh\u1ea3 n\u0103ng agentic c\u1ee7a m\u00f4 h\u00ecnh \u2014 t\u1ee9c m\u1ee9c \u0111\u1ed9 x\u1eed l\u00fd t\u1ed1t c\u00e1c t\u00e1c v\u1ee5 nhi\u1ec1u b\u01b0\u1edbc nh\u01b0 \u0111i\u1ec1n b\u1ea3ng t\u00ednh ho\u1eb7c t\u1ef1 \u0111\u1ed9ng duy\u1ec7t web \u2014 c\u0169ng v\u01b0\u1ee3t qua DeepSeek-V4-Pro, m\u00f4 h\u00ecnh t\u1eebng \u0111\u01b0\u1ee3c xem l\u00e0 chu\u1ea9n m\u1ef1c AI h\u00e0ng \u0111\u1ea7u tr\u01b0\u1edbc \u0111\u00f3 t\u1ea1i Trung Qu\u1ed1c.<\/p>\n<p>C\u00e1i t\u00ean ERNIE c\u00f3 th\u1ec3 nghe kh\u00e1 xa l\u1ea1 v\u1edbi nhi\u1ec1u ng\u01b0\u1eddi ph\u01b0\u01a1ng T\u00e2y, nh\u01b0ng t\u1ea1i Trung Qu\u1ed1c \u0111\u00e2y th\u1ef1c s\u1ef1 l\u00e0 m\u1ed9t m\u00f4 h\u00ecnh r\u1ea5t l\u1edbn. Baidu ra m\u1eaft Ernie Bot v\u00e0o th\u00e1ng 8\/2023, v\u00e0 chatbot n\u00e0y \u0111\u00e3 \u0111\u1ea1t 100 tri\u1ec7u ng\u01b0\u1eddi d\u00f9ng t\u1ea1i Trung Qu\u1ed1c v\u00e0o th\u00e1ng 12 c\u00f9ng n\u0103m \u2014 nhanh h\u01a1n h\u1ea7u h\u1ebft c\u00e1c \u0111\u1ed1i th\u1ee7 n\u1ed9i \u0111\u1ecba, d\u00f9 v\u1eabn ch\u1eadm h\u01a1n k\u1ef7 l\u1ee5c to\u00e0n c\u1ea7u c\u1ee7a ChatGPT khi \u0111\u1ea1t c\u00f9ng c\u1ed9t m\u1ed1c ch\u1ec9 trong hai th\u00e1ng.<\/p>\n<p>Kh\u00eda c\u1ea1nh t\u1ed1i \u01b0u hi\u1ec7u su\u1ea5t n\u00e0y g\u1ee3i nh\u1edb t\u1edbi \u0111i\u1ec1u m\u00e0 DeepSeek \u0111\u00e3 t\u1ea1o ra cho ng\u00e0nh AI v\u00e0o th\u00e1ng 1\/2025. Khi startup Trung Qu\u1ed1c n\u00e0y ph\u00e1t h\u00e0nh R1 \u2014 m\u00f4 h\u00ecnh \u0111\u1ea1t hi\u1ec7u n\u0103ng t\u01b0\u01a1ng \u0111\u01b0\u01a1ng OpenAI o1 nh\u01b0ng c\u00f3 chi ph\u00ed truy v\u1ea5n th\u1ea5p h\u01a1n t\u1edbi 98% \u2014 s\u1ef1 ki\u1ec7n \u0111\u00f3 \u0111\u00e3 khi\u1ebfn v\u1ed1n h\u00f3a th\u1ecb tr\u01b0\u1eddng c\u1ee7a NVIDIA b\u1ed1c h\u01a1i kho\u1ea3ng 600 t\u1ef7 USD v\u00e0 bu\u1ed9c m\u1ecdi ph\u00f2ng lab AI l\u1edbn ph\u1ea3i suy ngh\u0129 l\u1ea1i v\u1ec1 vi\u1ec7c li\u1ec7u \u201c\u0111\u1ed1t compute\u201d c\u00f3 c\u00f2n l\u00e0 chi\u1ebfn l\u01b0\u1ee3c kh\u1ea3 thi duy nh\u1ea5t hay kh\u00f4ng. ERNIE 5.1 k\u1ec3 m\u1ed9t c\u00e2u chuy\u1ec7n t\u1ed1i \u01b0u hi\u1ec7u qu\u1ea3 theo h\u01b0\u1edbng kh\u00e1c \u2014 \u1edf kh\u00e2u hu\u1ea5n luy\u1ec7n thay v\u00ec inference \u2014 nh\u01b0ng th\u00f4ng \u0111i\u1ec7p c\u1ed1t l\u00f5i v\u1eabn gi\u1ed1ng nhau: c\u00e1c ph\u00f2ng lab AI Trung Qu\u1ed1c \u0111ang li\u00ean t\u1ee5c t\u00ecm ra c\u00e1ch \u201cl\u00e0m nhi\u1ec1u h\u01a1n v\u1edbi \u00edt t\u00e0i nguy\u00ean h\u01a1n.\u201d<\/p>\n<p>Quy tr\u00ecnh h\u1eadu hu\u1ea5n luy\u1ec7n c\u1ee7a Baidu c\u0169ng r\u1ea5t \u0111\u00e1ng ch\u00fa \u00fd. C\u00f4ng ty \u0111\u00e3 x\u00e2y d\u1ef1ng m\u1ed9t h\u1ec7 th\u1ed1ng reinforcement learning g\u1ed3m b\u1ed1n giai \u0111o\u1ea1n mang t\u00ean MOPD (Multi-Teacher On-Policy Distillation). Thay v\u00ec c\u1ed1 g\u1eafng d\u1ea1y m\u1ecdi k\u1ef9 n\u0103ng c\u00f9ng l\u00fac \u2014 \u0111i\u1ec1u th\u01b0\u1eddng t\u1ea1o ra \u201chi\u1ec7u \u1ee9ng b\u1eadp b\u00eanh\u201d, v\u00ed d\u1ee5 nh\u01b0 c\u1ea3i thi\u1ec7n kh\u1ea3 n\u0103ng to\u00e1n h\u1ecdc nh\u01b0ng l\u1ea1i l\u00e0m gi\u1ea3m kh\u1ea3 n\u0103ng vi\u1ebft s\u00e1ng t\u1ea1o \u2014 Baidu hu\u1ea5n luy\u1ec7n song song c\u00e1c m\u00f4 h\u00ecnh chuy\u00ean gia ri\u00eang bi\u1ec7t cho l\u1eadp tr\u00ecnh, suy lu\u1eadn v\u00e0 c\u00e1c t\u00e1c v\u1ee5 agentic, sau \u0111\u00f3 ch\u01b0ng c\u1ea5t to\u00e0n b\u1ed9 nh\u1eefng k\u1ef9 n\u0103ng n\u00e0y v\u00e0o m\u1ed9t m\u00f4 h\u00ecnh th\u1ed1ng nh\u1ea5t duy nh\u1ea5t. M\u1ed9t giai \u0111o\u1ea1n reinforcement learning tr\u1ef1c tuy\u1ebfn cu\u1ed1i c\u00f9ng \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 x\u1eed l\u00fd c\u00e1c cu\u1ed9c h\u1ed9i tho\u1ea1i m\u1edf v\u00e0 n\u1ed9i dung s\u00e1ng t\u1ea1o, nh\u1eb1m gi\u1eef l\u1ea1i nh\u1eefng kh\u1ea3 n\u0103ng m\u00e0 qu\u00e1 tr\u00ecnh distillation kh\u00f3 c\u00f3 th\u1ec3 truy\u1ec1n t\u1ea3i \u0111\u1ea7y \u0111\u1ee7.<\/p>\n<\/div>\n<div>\n<figure><img fetchpriority=\"high\" decoding=\"async\" src=\"https:\/\/img.decrypt.co\/insecure\/rs:fit:3840:0:0:0\/plain\/https:\/\/cdn.decrypt.co\/wp-content\/uploads\/2026\/05\/Captura-de-pantalla-2026-05-11-a-las-17.58.16.png@webp\" alt=\"\" width=\"1446\" height=\"592\" data-nimg=\"1\" \/><\/figure>\n<\/div>\n<p>V\u1ec1 l\u00fd thuy\u1ebft, \u0111i\u1ec1u n\u00e0y c\u00f3 ngh\u0129a l\u00e0 t\u1ea5t c\u1ea3 c\u00e1c k\u1ef9 n\u0103ng s\u1ebd \u0111\u01b0\u1ee3c c\u00e2n b\u1eb1ng v\u1ec1 m\u1ee9c \u0111\u1ed9 th\u00e0nh th\u1ea1o m\u00e0 kh\u00f4ng c\u00f3 k\u1ef9 n\u0103ng n\u00e0o \u0111\u01b0\u1ee3c \u01b0u ti\u00ean h\u01a1n k\u1ef9 n\u0103ng kh\u00e1c.<\/p>\n<p>Tr\u00ean GPQA (Graduate-Level Google-Proof Q&amp;A \u2014 m\u1ed9t benchmark d\u00f9ng \u0111\u1ec3 \u0111o l\u01b0\u1eddng kh\u1ea3 n\u0103ng c\u1ee7a m\u00f4 h\u00ecnh trong vi\u1ec7c tr\u1ea3 l\u1eddi c\u00e1c c\u00e2u h\u1ecfi khoa h\u1ecdc c\u1ea5p chuy\u00ean gia m\u00e0 kh\u00f4ng th\u1ec3 t\u00ecm ki\u1ebfm \u0111\u01a1n gi\u1ea3n tr\u00ean Google), ERNIE 5.1 \u0111\u00e3 ti\u1ebfn g\u1ea7n \u0111\u1ebfn hi\u1ec7u n\u0103ng c\u1ee7a c\u00e1c m\u00f4 h\u00ecnh closed-source h\u00e0ng \u0111\u1ea7u ph\u01b0\u01a1ng T\u00e2y.<\/p>\n<p>Tr\u00ean AIME26 \u2014 k\u1ef3 thi American Invitational Mathematics Examination phi\u00ean b\u1ea3n 2026, d\u00f9ng \u0111\u1ec3 ki\u1ec3m tra kh\u1ea3 n\u0103ng gi\u1ea3i quy\u1ebft v\u1ea5n \u0111\u1ec1 n\u00e2ng cao trong \u0111i\u1ec1u ki\u1ec7n thi \u0111\u1ea5u \u2014 m\u00f4 h\u00ecnh \u0111\u1ea1t \u0111i\u1ec3m 99,6% khi s\u1eed d\u1ee5ng c\u01a1 ch\u1ebf suy lu\u1eadn c\u00f3 h\u1ed7 tr\u1ee3 c\u00f4ng c\u1ee5 (tool-assisted reasoning), ch\u1ec9 x\u1ebfp sau Gemini 3.1 Pro.<\/p>\n<p>Baidu cho bi\u1ebft ERNIE 5.1 hi\u1ec7n \u0111ang \u0111\u01b0\u1ee3c tri\u1ec3n khai tr\u00ean h\u01a1n 10 n\u1ec1n t\u1ea3ng s\u00e1ng t\u1ea1o v\u00e0 agentic t\u1ea1i Trung Qu\u1ed1c, bao g\u1ed3m c\u00e1c n\u1ec1n t\u1ea3ng AI roleplay v\u00e0 c\u00e1c c\u00f4ng c\u1ee5 t\u1ea1o phim ng\u1eafn t\u1ef1 \u0111\u1ed9ng. M\u00f4 h\u00ecnh hi\u1ec7n c\u00f3 th\u1ec3 truy c\u1eadp t\u1ea1i ernie.baidu.com v\u00e0 th\u00f4ng qua API tr\u00ean n\u1ec1n t\u1ea3ng AI Cloud c\u1ee7a Baidu.<\/p>\n<p>Baidu s\u1ebd t\u1ed5 ch\u1ee9c h\u1ed9i ngh\u1ecb nh\u00e0 ph\u00e1t tri\u1ec3n th\u01b0\u1eddng ni\u00ean Create 2026 v\u00e0o ng\u00e0y 13\u201314\/5 t\u1ea1i B\u1eafc Kinh, n\u01a1i c\u00f4ng ty d\u1ef1 ki\u1ebfn tr\u00ecnh di\u1ec5n nh\u1eefng \u1ee9ng d\u1ee5ng c\u00f4ng nghi\u1ec7p m\u1edbi nh\u1ea5t c\u1ee7a ERNIE. S\u1ef1 ki\u1ec7n n\u00e0y s\u1ebd l\u00e0 d\u1eef li\u1ec7u ti\u1ebfp theo cho th\u1ea5y Baidu \u0111ang mu\u1ed1n th\u00fac \u0111\u1ea9y m\u00f4 h\u00ecnh n\u00e0y m\u1ea1nh m\u1ebd \u0111\u1ebfn m\u1ee9c n\u00e0o v\u00e0o th\u1ecb tr\u01b0\u1eddng doanh nghi\u1ec7p v\u00e0 th\u1ecb tr\u01b0\u1eddng to\u00e0n c\u1ea7u.<\/p>\n<div>\n<h2>B\u1ea3n tin Daily Debrief<\/h2>\n<p>B\u1eaft \u0111\u1ea7u m\u1ed7i ng\u00e0y v\u1edbi nh\u1eefng tin t\u1ee9c n\u1ed5i b\u1eadt nh\u1ea5t hi\u1ec7n t\u1ea1i, c\u00f9ng c\u00e1c b\u00e0i vi\u1ebft \u0111\u1ed9c quy\u1ec1n, podcast, video v\u00e0 nhi\u1ec1u n\u1ed9i dung h\u1ea5p d\u1eabn kh\u00e1c.<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>T\u00f3m t\u1eaft nhanh Baidu cho bi\u1ebft chi ph\u00ed pre-training c\u1ee7a ERNIE 5.1 ch\u1ec9 b\u1eb1ng kho\u1ea3ng 6% so v\u1edbi c\u00e1c m\u00f4 [&hellip;]<\/p>","protected":false},"author":5,"featured_media":78990,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[220],"tags":[],"class_list":["post-78987","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tien-dien-tu"],"acf":[],"_links":{"self":[{"href":"https:\/\/hbbgroup.net\/zh\/wp-json\/wp\/v2\/posts\/78987","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hbbgroup.net\/zh\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/hbbgroup.net\/zh\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/hbbgroup.net\/zh\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/hbbgroup.net\/zh\/wp-json\/wp\/v2\/comments?post=78987"}],"version-history":[{"count":2,"href":"https:\/\/hbbgroup.net\/zh\/wp-json\/wp\/v2\/posts\/78987\/revisions"}],"predecessor-version":[{"id":79179,"href":"https:\/\/hbbgroup.net\/zh\/wp-json\/wp\/v2\/posts\/78987\/revisions\/79179"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/hbbgroup.net\/zh\/wp-json\/wp\/v2\/media\/78990"}],"wp:attachment":[{"href":"https:\/\/hbbgroup.net\/zh\/wp-json\/wp\/v2\/media?parent=78987"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hbbgroup.net\/zh\/wp-json\/wp\/v2\/categories?post=78987"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hbbgroup.net\/zh\/wp-json\/wp\/v2\/tags?post=78987"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}