{"id":24586,"date":"2026-05-16T12:19:50","date_gmt":"2026-05-16T05:19:50","guid":{"rendered":"https:\/\/vnso.vn\/?p=24586"},"modified":"2026-05-16T12:19:50","modified_gmt":"2026-05-16T05:19:50","slug":"ai-model-la-gi","status":"publish","type":"post","link":"https:\/\/vnso.vn\/en\/ai-model-la-gi\/","title":{"rendered":"AI Model l\u00e0 g\u00ec? T\u1ea5t c\u1ea3 nh\u1eefng g\u00ec b\u1ea1n c\u1ea7n bi\u1ebft v\u1ec1 Model AI"},"content":{"rendered":"

AI hi\u1ec7n di\u1ec7n trong g\u1ea7n nh\u01b0 m\u1ecdi n\u1ec1n t\u1ea3ng c\u00f4ng ngh\u1ec7 hi\u1ec7n nay. Ng\u01b0\u1eddi d\u00f9ng d\u00f9ng AI Model ChatGPT \u0111\u1ec3 vi\u1ebft n\u1ed9i dung, doanh nghi\u1ec7p d\u00f9ng AI \u0111\u1ec3 ph\u00e2n t\u00edch d\u1eef li\u1ec7u kh\u00e1ch h\u00e0ng, c\u00f2n studio s\u00e1ng t\u1ea1o b\u1eaft \u0111\u1ea7u t\u1ea1o video qu\u1ea3ng c\u00e1o b\u1eb1ng AI ch\u1ec9 trong v\u00e0i ph\u00fat.<\/p>\n

Th\u1ee9 th\u1eadt s\u1ef1 x\u1eed l\u00fd d\u1eef li\u1ec7u, h\u1ecdc t\u1eeb h\u00e0ng t\u1ef7 th\u00f4ng tin v\u00e0 t\u1ea1o ph\u1ea3n h\u1ed3i ch\u00ednh l\u00e0 AI Model. Theo IBM Think AI<\/span>, AI Model l\u00e0 h\u1ec7 th\u1ed1ng \u0111\u01b0\u1ee3c hu\u1ea5n luy\u1ec7n tr\u00ean d\u1eef li\u1ec7u \u0111\u1ec3 nh\u1eadn di\u1ec7n m\u1eabu, \u0111\u01b0a ra d\u1ef1 \u0111o\u00e1n ho\u1eb7c t\u1ea1o ph\u1ea3n h\u1ed3i t\u1ef1 \u0111\u1ed9ng. C\u00f3 th\u1ec3 hi\u1ec3u \u0111\u01a1n gi\u1ea3n, AI Model ch\u00ednh l\u00e0 \u201cb\u1ed9 n\u00e3o\u201d ph\u00eda sau c\u00e1c n\u1ec1n t\u1ea3ng AI hi\u1ec7n \u0111\u1ea1i.<\/p>\n

AI Model l\u00e0 g\u00ec?<\/h2>\n

Khi ng\u01b0\u1eddi d\u00f9ng nh\u1eadp c\u00e2u h\u1ecfi v\u00e0o ChatGPT ho\u1eb7c y\u00eau c\u1ea7u AI t\u1ea1o h\u00ecnh \u1ea3nh, h\u1ec7 th\u1ed1ng ph\u00eda sau s\u1ebd ph\u00e2n t\u00edch d\u1eef li\u1ec7u \u0111\u00e3 h\u1ecdc tr\u01b0\u1edbc \u0111\u00f3 \u0111\u1ec3 \u0111\u01b0a ra k\u1ebft qu\u1ea3 ph\u00f9 h\u1ee3p nh\u1ea5t.<\/p>\n

AI Model kh\u00f4ng suy ngh\u0129 nh\u01b0 con ng\u01b0\u1eddi. N\u00f3 ho\u1ea1t \u0111\u1ed9ng b\u1eb1ng c\u00e1ch d\u1ef1 \u0111o\u00e1n d\u1ef1a tr\u00ean x\u00e1c su\u1ea5t v\u00e0 pattern recognition.<\/p>\n

Microsoft Azure AI Documentation<\/span> ph\u00e2n t\u00edch AI Model ho\u1ea1t \u0111\u1ed9ng b\u1eb1ng c\u00e1ch chuy\u1ec3n \u0111\u1ed5i input th\u00e0nh output th\u00f4ng qua d\u1eef li\u1ec7u hu\u1ea5n luy\u1ec7n v\u00e0 thu\u1eadt to\u00e1n h\u1ecdc m\u00e1y. Input c\u00f3 th\u1ec3 l\u00e0 v\u0103n b\u1ea3n, h\u00ecnh \u1ea3nh ho\u1eb7c gi\u1ecdng n\u00f3i, c\u00f2n output l\u00e0 c\u00e2u tr\u1ea3 l\u1eddi, h\u00ecnh \u1ea3nh AI ho\u1eb7c d\u1ef1 \u0111o\u00e1n d\u1eef li\u1ec7u.<\/p>\n

\u0110i\u1ec1u khi\u1ebfn AI Model tr\u1edf n\u00ean \u0111\u1eb7c bi\u1ec7t n\u1eb1m \u1edf quy m\u00f4 d\u1eef li\u1ec7u m\u00e0 n\u00f3 \u0111\u01b0\u1ee3c hu\u1ea5n luy\u1ec7n.<\/p>\n

>>> Xem th\u00eam So s\u00e1nh Server vs Workstation – L\u1ef1a ch\u1ecdn n\u00e0o t\u1ed1i \u01b0u?<\/a><\/strong><\/p>\n

\"Llama<\/a>

M\u00f4 h\u00ecnh ng\u00f4n ng\u1eef Llama n\u1ed5i ti\u1ebfng<\/p><\/div>\n

V\u00ec sao Model AI \u0111ang tr\u1edf th\u00e0nh trung t\u00e2m c\u1ee7a ng\u00e0nh c\u00f4ng ngh\u1ec7?<\/h2>\n

M\u1ed9t AI Model hi\u1ec7n \u0111\u1ea1i c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c train tr\u00ean h\u00e0ng t\u1ef7 tham s\u1ed1 v\u00e0 l\u01b0\u1ee3ng d\u1eef li\u1ec7u kh\u1ed5ng l\u1ed3. \u0110\u00e2y c\u0169ng l\u00e0 l\u00fd do ng\u00e0nh AI \u0111ang b\u01b0\u1edbc v\u00e0o cu\u1ed9c \u0111ua h\u1ea1 t\u1ea7ng GPU quy m\u00f4 l\u1edbn.<\/p>\n

arXiv Generative AI Infrastructure Research<\/span>\u00a0cho bi\u1ebft vi\u1ec7c hu\u1ea5n luy\u1ec7n foundation model hi\u1ec7n \u0111\u1ea1i y\u00eau c\u1ea7u n\u0103ng l\u1ef1c t\u00ednh to\u00e1n c\u1ef1c l\u1edbn c\u00f9ng h\u1ec7 th\u1ed1ng networking v\u00e0 l\u01b0u tr\u1eef t\u1ed1c \u0111\u1ed9 cao.<\/p>\n

\u0110\u00f3 l\u00e0 l\u00fd do c\u00e1c GPU nh\u01b0 NVIDIA H100 hay NVIDIA A100 \u0111ang tr\u1edf th\u00e0nh n\u1ec1n t\u1ea3ng cho AI Infrastructure to\u00e0n c\u1ea7u.<\/p>\n

Ph\u00eda sau m\u1ed9t c\u00e2u tr\u1ea3 l\u1eddi ch\u1ec9 v\u00e0i gi\u00e2y c\u1ee7a AI l\u00e0 c\u1ea3 m\u1ed9t h\u1ec7 th\u1ed1ng g\u1ed3m GPU cluster, networking bandwidth v\u00e0 AI server hi\u1ec7u n\u0103ng cao.<\/p>\n

AI Model ho\u1ea1t \u0111\u1ed9ng nh\u01b0 th\u1ebf n\u00e0o?<\/h2>\n

AI Model h\u1ecdc b\u1eb1ng c\u00e1ch t\u00ecm quy lu\u1eadt trong d\u1eef li\u1ec7u.<\/p>\n

V\u00ed d\u1ee5, n\u1ebfu model \u0111\u01b0\u1ee3c hu\u1ea5n luy\u1ec7n tr\u00ean h\u00e0ng tri\u1ec7u h\u00ecnh \u1ea3nh m\u00e8o, n\u00f3 s\u1ebd h\u1ecdc \u0111\u01b0\u1ee3c \u0111\u1eb7c \u0111i\u1ec3m v\u1ec1 h\u00ecnh d\u1ea1ng, m\u00e0u s\u1eafc v\u00e0 c\u1ea5u tr\u00fac \u0111\u1ec3 nh\u1eadn di\u1ec7n m\u00e8o trong \u1ea3nh m\u1edbi.<\/p>\n

Nguy\u00ean l\u00fd n\u00e0y c\u0169ng \u00e1p d\u1ee5ng v\u1edbi AI ng\u00f4n ng\u1eef. Khi ChatGPT tr\u1ea3 l\u1eddi c\u00e2u h\u1ecfi, model s\u1ebd d\u1ef1 \u0111o\u00e1n token ti\u1ebfp theo d\u1ef1a tr\u00ean d\u1eef li\u1ec7u \u0111\u00e3 h\u1ecdc tr\u01b0\u1edbc \u0111\u00f3.<\/p>\n

Google Research Transformer Paper nh\u1eadn \u0111\u1ecbnh<\/span>\u00a0ki\u1ebfn tr\u00fac Transformer l\u00e0 b\u01b0\u1edbc ngo\u1eb7t gi\u00fap AI hi\u1ec3u ng\u1eef c\u1ea3nh hi\u1ec7u qu\u1ea3 h\u01a1n th\u00f4ng qua attention mechanism. \u0110\u00e2y hi\u1ec7n l\u00e0 n\u1ec1n t\u1ea3ng cho GPT, Gemini, Claude v\u00e0 ph\u1ea7n l\u1edbn Large Language Model hi\u1ec7n nay.<\/p>\n

>>> Xem th\u00eam Nvidia A100 vs Tesla P100 \u2013 N\u00ean Ch\u1ecdn GPU N\u00e0o Cho AI V\u00e0 Deep Learning?<\/a><\/strong><\/p>\n

AI Model kh\u00e1c g\u00ec Machine Learning v\u00e0 Deep Learning?<\/h2>\n

Nhi\u1ec1u ng\u01b0\u1eddi th\u01b0\u1eddng nh\u1ea7m AI, Machine Learning v\u00e0 AI Model l\u00e0 c\u00f9ng m\u1ed9t kh\u00e1i ni\u1ec7m.<\/p>\n

Th\u1ef1c t\u1ebf, AI l\u00e0 l\u0129nh v\u1ef1c t\u1ed5ng qu\u00e1t. Machine Learning l\u00e0 ph\u01b0\u01a1ng ph\u00e1p gi\u00fap m\u00e1y h\u1ecdc t\u1eeb d\u1eef li\u1ec7u. Deep Learning l\u00e0 nh\u00e1nh n\u00e2ng cao s\u1eed d\u1ee5ng neural network nhi\u1ec1u t\u1ea7ng \u0111\u1ec3 x\u1eed l\u00fd d\u1eef li\u1ec7u ph\u1ee9c t\u1ea1p.<\/p>\n

C\u00f2n AI Model l\u00e0 k\u1ebft qu\u1ea3 cu\u1ed1i c\u00f9ng sau qu\u00e1 tr\u00ecnh training.<\/p>\n

Theo IBM Artificial Intelligence Overview<\/span>, Deep Learning gi\u00fap AI x\u1eed l\u00fd d\u1eef li\u1ec7u phi c\u1ea5u tr\u00fac nh\u01b0 h\u00ecnh \u1ea3nh, gi\u1ecdng n\u00f3i v\u00e0 ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean hi\u1ec7u qu\u1ea3 h\u01a1n nh\u1edd neural network nhi\u1ec1u l\u1edbp.<\/p>\n

\"Deep<\/a><\/p>\n

C\u00e1c lo\u1ea1i Model AI ph\u1ed5 bi\u1ebfn hi\u1ec7n nay<\/h2>\n

Large Language Model t\u1eadp trung x\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean v\u00e0 t\u1ea1o v\u0103n b\u1ea3n. Vision Model chuy\u00ean x\u1eed l\u00fd h\u00ecnh \u1ea3nh v\u00e0 computer vision. Trong khi \u0111\u00f3, Generative AI Model c\u00f3 th\u1ec3 t\u1ea1o n\u1ed9i dung m\u1edbi nh\u01b0 video, h\u00ecnh \u1ea3nh ho\u1eb7c gi\u1ecdng n\u00f3i AI.<\/p>\n

Theo IBM Foundation Model Guide<\/span>, foundation model l\u00e0 m\u00f4 h\u00ecnh \u0111\u01b0\u1ee3c hu\u1ea5n luy\u1ec7n tr\u00ean t\u1eadp d\u1eef li\u1ec7u c\u1ef1c l\u1edbn v\u00e0 c\u00f3 th\u1ec3 fine-tune cho nhi\u1ec1u t\u00e1c v\u1ee5 kh\u00e1c nhau.<\/p>\n

\u0110\u00e2y ch\u00ednh l\u00e0 n\u1ec1n t\u1ea3ng cho l\u00e0n s\u00f3ng Generative AI hi\u1ec7n nay.<\/p>\n

V\u00ec sao AI Model c\u1ea7n GPU hi\u1ec7u n\u0103ng cao?<\/h2>\n

Training AI l\u00e0 kh\u1ed1i l\u01b0\u1ee3ng t\u00ednh to\u00e1n c\u1ef1c l\u1edbn m\u00e0 CPU truy\u1ec1n th\u1ed1ng kh\u00f3 \u0111\u00e1p \u1ee9ng hi\u1ec7u qu\u1ea3.<\/p>\n

GPU tr\u1edf th\u00e0nh l\u1ef1a ch\u1ecdn b\u1eaft bu\u1ed9c nh\u1edd kh\u1ea3 n\u0103ng x\u1eed l\u00fd song song m\u1ea1nh h\u01a1n r\u1ea5t nhi\u1ec1u.<\/p>\n

Theo NVIDIA AI Infrastructure Overview<\/span>, GPU AI gi\u00fap t\u0103ng t\u1ed1c training v\u00e0 inference nh\u1edd Tensor Core v\u00e0 ki\u1ebfn tr\u00fac parallel processing chuy\u00ean d\u1ee5ng cho AI workload.<\/p>\n

\u0110\u00f3 l\u00e0 l\u00fd do th\u1ecb tr\u01b0\u1eddng \u0111ang chuy\u1ec3n m\u1ea1nh sang AI Server, GPU Server v\u00e0 AI Data Center chuy\u00ean bi\u1ec7t.<\/p>\n

Model AI c\u00f3 th\u1eadt s\u1ef1 \u201cth\u00f4ng minh\u201d nh\u01b0 con ng\u01b0\u1eddi?<\/h2>\n

C\u00e2u tr\u1ea3 l\u1eddi hi\u1ec7n t\u1ea1i l\u00e0 ch\u01b0a.<\/p>\n

AI c\u00f3 th\u1ec3 vi\u1ebft n\u1ed9i dung, t\u1ea1o h\u00ecnh \u1ea3nh ho\u1eb7c ph\u00e2n t\u00edch d\u1eef li\u1ec7u r\u1ea5t nhanh, nh\u01b0ng ph\u1ea7n l\u1edbn v\u1eabn ho\u1ea1t \u0111\u1ed9ng d\u1ef1a tr\u00ean x\u00e1c su\u1ea5t v\u00e0 pattern recognition thay v\u00ec nh\u1eadn th\u1ee9c th\u1ef1c s\u1ef1.<\/p>\n

Theo Stanford Human-Centered AI Research<\/span>, AI hi\u1ec7n \u0111\u1ea1i v\u1eabn ch\u01b0a \u0111\u1ea1t \u0111\u1ebfn AGI – t\u1ee9c tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o t\u1ed5ng qu\u00e1t t\u01b0\u01a1ng \u0111\u01b0\u01a1ng con ng\u01b0\u1eddi.<\/p>\n

D\u00f9 v\u1eady, AI \u0111ang ti\u1ebfn r\u1ea5t nhanh v\u00e0 \u0111\u00e3 tr\u1edf th\u00e0nh c\u00f4ng c\u1ee5 c\u1ea1nh tranh th\u1ef1c t\u1ebf c\u1ee7a doanh nghi\u1ec7p.<\/p>\n

T\u01b0\u01a1ng lai c\u1ee7a AI Model s\u1ebd \u0111i v\u1ec1 \u0111\u00e2u?<\/h2>\n

Th\u1ecb tr\u01b0\u1eddng AI hi\u1ec7n t\u1ea1i kh\u00f4ng c\u00f2n ch\u1ec9 c\u1ea1nh tranh v\u1ec1 ph\u1ea7n m\u1ec1m. Cu\u1ed9c \u0111ua gi\u1edd \u0111\u00e2y xoay quanh compute power, GPU v\u00e0 AI Infrastructure.<\/p>\n

C\u00e1c c\u00f4ng ty \u0111ang ch\u1ea1y \u0111ua \u0111\u1ec3 x\u00e2y d\u1ef1ng:<\/p>\n