{"id":67036,"date":"2026-07-21T09:15:42","date_gmt":"2026-07-21T02:15:42","guid":{"rendered":"https:\/\/aws.cmctelecom.vn\/2026\/07\/21\/amazon-nova-2-lite-toi-uu-kiem-duyet-noi-dung-bang-prompt-engineering\/"},"modified":"2026-07-22T08:33:05","modified_gmt":"2026-07-22T01:33:05","slug":"amazon-nova-2-lite-toi-uu-kiem-duyet-noi-dung-bang-prompt-engineering","status":"publish","type":"post","link":"https:\/\/aws.cmctelecom.vn\/en\/2026\/07\/21\/amazon-nova-2-lite-toi-uu-kiem-duyet-noi-dung-bang-prompt-engineering\/","title":{"rendered":"Amazon Nova 2 Lite: T\u1ed1i \u01b0u ki\u1ec3m duy\u1ec7t n\u1ed9i dung b\u1eb1ng Prompt Engineering"},"content":{"rendered":"

C\u00e1c doanh nghi\u1ec7p c\u00f3 n\u1ec1n t\u1ea3ng t\u1ea1o ra l\u01b0\u1ee3ng l\u1edbn n\u1ed9i dung t\u1eeb ng\u01b0\u1eddi d\u00f9ng (user-generated content) lu\u00f4n \u0111\u1ed1i m\u1eb7t v\u1edbi th\u00e1ch th\u1ee9c ki\u1ec3m duy\u1ec7t \u1edf quy m\u00f4 l\u1edbn. Vi\u1ec7c n\u00e0y \u0111\u00f2i h\u1ecfi s\u1ef1 c\u00e2n b\u1eb1ng gi\u1eefa vi\u1ec7c ph\u00e1t hi\u1ec7n ch\u00ednh x\u00e1c c\u00e1c vi ph\u1ea1m ch\u00ednh s\u00e1ch v\u00e0 tr\u00e1nh g\u1eafn c\u1edd nh\u1ea7m c\u00e1c b\u00e0i \u0111\u0103ng h\u1ee3p l\u1ec7. Trong m\u1ed9t c\u00f4ng b\u1ed1 ng\u00e0y 18\/05\/2026, AWS \u0111\u00e3 gi\u1edbi thi\u1ec7u m\u1ed9t gi\u1ea3i ph\u00e1p hi\u1ec7u qu\u1ea3 s\u1eed d\u1ee5ng Amazon Nova 2 Lite, m\u1ed9t m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef l\u1edbn (LLM) chi ph\u00ed th\u1ea5p v\u00e0 t\u1ed1c \u0111\u1ed9 inference nhanh, cho ph\u00e9p doanh nghi\u1ec7p x\u00e2y d\u1ef1ng h\u1ec7 th\u1ed1ng ki\u1ec3m duy\u1ec7t linh ho\u1ea1t ch\u1ec9 b\u1eb1ng c\u00e1ch ch\u1ec9nh s\u1eeda prompt, thay v\u00ec ph\u1ea3i fine-tuning<\/em> (tinh ch\u1ec9nh) l\u1ea1i to\u00e0n b\u1ed9 m\u00f4 h\u00ecnh.<\/p>\n

B\u00e0i vi\u1ebft n\u00e0y, d\u1ef1a tr\u00ean ti\u00eau chu\u1ea9n MLCommons AILuminate, tr\u00ecnh b\u00e0y c\u00e1ch s\u1eed d\u1ee5ng prompt v\u1edbi Amazon Nova 2 Lite \u0111\u1ec3 gi\u1ea3i quy\u1ebft b\u00e0i to\u00e1n tr\u00ean. C\u00e1c k\u1ef9 thu\u1eadt n\u00e0y c\u00f3 th\u1ec3 \u00e1p d\u1ee5ng v\u1edbi ch\u00ednh s\u00e1ch ki\u1ec3m duy\u1ec7t t\u00f9y ch\u1ec9nh c\u1ee7a t\u1eebng doanh nghi\u1ec7p.<\/p>\n

Lu\u1ed3ng x\u1eed l\u00fd ki\u1ec3m duy\u1ec7t n\u1ed9i dung v\u1edbi Amazon Nova 2 Lite<\/h2>\n

AWS \u0111\u1ec1 xu\u1ea5t m\u1ed9t quy tr\u00ecnh ki\u1ec3m duy\u1ec7t n\u1ed9i dung \u0111i\u1ec3n h\u00ecnh \u0111\u01b0\u1ee3c x\u00e2y d\u1ef1ng tr\u00ean Amazon Nova 2 Lite v\u00e0 Amazon Bedrock<\/a>. V\u1edbi chi ph\u00ed th\u1ea5p v\u00e0 t\u1ed1c \u0111\u1ed9 inference nhanh, Nova 2 Lite r\u1ea5t ph\u00f9 h\u1ee3p cho c\u00e1c pipeline ki\u1ec3m duy\u1ec7t c\u00f3 l\u01b0u l\u01b0\u1ee3ng x\u1eed l\u00fd cao.<\/p>\n

\n\"S\u01a1
\n<\/figure>\n

Quy tr\u00ecnh n\u00e0y g\u1ed3m b\u1ed1n giai \u0111o\u1ea1n ch\u00ednh:<\/p>\n

    \n
  1. Ti\u1ebfp nh\u1eadn n\u1ed9i dung:<\/strong> N\u1ed9i dung do ng\u01b0\u1eddi d\u00f9ng t\u1ea1o (v\u0103n b\u1ea3n, b\u00ecnh lu\u1eadn, \u0111\u00e1nh gi\u00e1) \u0111\u01b0\u1ee3c \u0111\u01b0a v\u00e0o h\u1ec7 th\u1ed1ng.<\/li>\n
  2. X\u00e2y d\u1ef1ng Prompt:<\/strong> H\u1ec7 th\u1ed1ng t\u1ef1 \u0111\u1ed9ng gh\u00e9p n\u1ed1i n\u1ed9i dung c\u1ea7n ki\u1ec3m duy\u1ec7t v\u1edbi c\u00e1c y\u1ebfu t\u1ed1 kh\u00e1c nh\u01b0 vai tr\u00f2 h\u1ec7 th\u1ed1ng, \u0111\u1ecbnh ngh\u0129a ch\u00ednh s\u00e1ch, v\u00e0 c\u00e1c v\u00ed d\u1ee5 few-shot<\/em> (h\u1ecdc qua v\u00e0i v\u00ed d\u1ee5) \u0111\u1ec3 t\u1ea1o th\u00e0nh m\u1ed9t prompt ho\u00e0n ch\u1ec9nh.<\/li>\n
  3. Suy lu\u1eadn (Inference):<\/strong> Prompt \u0111\u01b0\u1ee3c g\u1eedi \u0111\u1ebfn Amazon Nova 2 Lite tr\u00ean Amazon Bedrock. M\u00f4 h\u00ecnh s\u1ebd tr\u1ea3 v\u1ec1 k\u1ebft qu\u1ea3 ki\u1ec3m duy\u1ec7t, bao g\u1ed3m c\u1edd vi ph\u1ea1m (c\u00f3\/kh\u00f4ng), c\u00e1c danh m\u1ee5c vi ph\u1ea1m v\u00e0 gi\u1ea3i th\u00edch (t\u00f9y ch\u1ecdn).<\/li>\n
  4. H\u00e0nh \u0111\u1ed9ng:<\/strong> D\u1ef1a tr\u00ean k\u1ebft qu\u1ea3, h\u1ec7 th\u1ed1ng s\u1ebd t\u1ef1 \u0111\u1ed9ng cho ph\u00e9p, g\u1eafn c\u1edd, x\u00f3a ho\u1eb7c chuy\u1ec3n n\u1ed9i dung \u0111\u1ebfn ng\u01b0\u1eddi duy\u1ec7t th\u1ee7 c\u00f4ng.<\/li>\n<\/ol>\n

    C\u00e1c k\u1ef9 thu\u1eadt Prompting hi\u1ec7u qu\u1ea3<\/h2>\n

    AWS \u0111\u00e3 gi\u1edbi thi\u1ec7u hai ph\u01b0\u01a1ng ph\u00e1p prompting ch\u00ednh: c\u00f3 c\u1ea5u tr\u00fac v\u00e0 t\u1ef1 do.<\/p>\n

    Prompt c\u00f3 c\u1ea5u tr\u00fac (XML\/JSON)<\/h3>\n

    Doanh nghi\u1ec7p n\u00ean s\u1eed d\u1ee5ng prompt c\u00f3 c\u1ea5u tr\u00fac nh\u01b0 XML ho\u1eb7c JSON khi pipeline ki\u1ec3m duy\u1ec7t c\u1ea7n \u0111\u1ea7u ra \u0111\u1ecbnh d\u1ea1ng s\u1eb5n \u0111\u1ec3 t\u00edch h\u1ee3p v\u00e0o c\u00e1c h\u1ec7 th\u1ed1ng t\u1ef1 \u0111\u1ed9ng. K\u1ef9 thu\u1eadt few-shot learning<\/em>, t\u1ee9c l\u00e0 cung c\u1ea5p m\u1ed9t v\u00e0i c\u1eb7p v\u00ed d\u1ee5 \u0111\u1ea7u v\u00e0o-\u0111\u1ea7u ra trong prompt, gi\u00fap m\u00f4 h\u00ecnh “h\u1ecdc” \u0111\u01b0\u1ee3c \u0111\u1ecbnh d\u1ea1ng ph\u1ea3n h\u1ed3i mong mu\u1ed1n v\u00e0 t\u0103ng \u0111\u1ed9 ch\u00ednh x\u00e1c.<\/p>\n

    Prompt d\u1ea1ng t\u1ef1 do<\/h3>\n

    Prompt d\u1ea1ng t\u1ef1 do h\u1eefu \u00edch khi c\u1ea7n c\u00e1c \u0111\u1ecbnh d\u1ea1ng \u0111\u1ea7u ra \u0111a d\u1ea1ng ho\u1eb7c khi t\u00e1c v\u1ee5 ki\u1ec3m duy\u1ec7t kh\u00f4ng d\u1ec5 d\u00e0ng g\u00f3i g\u1ecdn trong m\u1ed9t c\u1ea5u tr\u00fac c\u1ed1 \u0111\u1ecbnh. C\u00e1ch ti\u1ebfp c\u1eadn n\u00e0y linh ho\u1ea1t, cho ph\u00e9p m\u00f4 h\u00ecnh \u0111i\u1ec1u ch\u1ec9nh \u0111\u1ecbnh d\u1ea1ng v\u00e0 m\u1ee9c \u0111\u1ed9 chi ti\u1ebft c\u1ee7a ph\u1ea3n h\u1ed3i d\u1ef1a tr\u00ean c\u00e2u h\u1ecfi. V\u00ed d\u1ee5, m\u1ed9t c\u00e2u h\u1ecfi c\u00f3\/kh\u00f4ng s\u1ebd nh\u1eadn \u0111\u01b0\u1ee3c c\u00e2u tr\u1ea3 l\u1eddi nh\u1ecb ph\u00e2n ng\u1eafn g\u1ecdn, trong khi y\u00eau c\u1ea7u x\u1ebfp h\u1ea1ng m\u1ee9c \u0111\u1ed9 nghi\u00eam tr\u1ecdng s\u1ebd cho ra ph\u1ea3n h\u1ed3i c\u00f3 c\u1ea5u tr\u00fac nhi\u1ec1u ph\u1ea7n. \u0110i\u1ec1u n\u00e0y r\u1ea5t ph\u00f9 h\u1ee3p cho c\u00e1c quy tr\u00ecnh c\u00f3 s\u1ef1 tham gia c\u1ee7a con ng\u01b0\u1eddi (human-in-the-loop<\/em>).<\/p>\n

    \u0110\u00e1nh gi\u00e1 hi\u1ec7u n\u0103ng c\u1ee7a Amazon Nova 2 Lite<\/h2>\n

    AWS \u0111\u00e3 \u0111\u00e1nh gi\u00e1 Amazon Nova 2 Lite so v\u1edbi m\u1ed9t s\u1ed1 foundation model (FM) kh\u00e1c tr\u00ean ba b\u1ed9 d\u1eef li\u1ec7u benchmark c\u00f4ng khai. T\u1ea5t c\u1ea3 c\u00e1c m\u00f4 h\u00ecnh \u0111\u1ec1u s\u1eed d\u1ee5ng c\u00f9ng m\u1ed9t \u0111\u1ecbnh d\u1ea1ng prompt XML c\u00f3 c\u1ea5u tr\u00fac v\u00e0 ch\u1ea1y \u1edf ch\u1ebf \u0111\u1ed9 non-reasoning mode<\/em> \u0111\u1ec3 t\u1ed1i \u01b0u chi ph\u00ed v\u00e0 \u0111\u1ed9 tr\u1ec5.<\/p>\n

    C\u00e1c ch\u1ec9 s\u1ed1 \u0111\u00e1nh gi\u00e1 ch\u00ednh bao g\u1ed3m:<\/p>\n

      \n
    • F1 Score:<\/strong> L\u00e0 trung b\u00ecnh \u0111i\u1ec1u h\u00f2a c\u1ee7a Precision v\u00e0 Recall, \u0111o l\u01b0\u1eddng s\u1ef1 c\u00e2n b\u1eb1ng gi\u1eefa vi\u1ec7c ph\u00e1t hi\u1ec7n ch\u00ednh x\u00e1c vi ph\u1ea1m v\u00e0 tr\u00e1nh b\u00e1o \u0111\u1ed9ng gi\u1ea3. \u0110\u00e2y l\u00e0 ch\u1ec9 s\u1ed1 quan tr\u1ecdng nh\u1ea5t trong ki\u1ec3m duy\u1ec7t n\u1ed9i dung.<\/li>\n
    • Precision (\u0110\u1ed9 ch\u00ednh x\u00e1c):<\/strong> T\u1ef7 l\u1ec7 c\u00e1c n\u1ed9i dung \u0111\u01b0\u1ee3c g\u1eafn c\u1edd l\u00e0 vi ph\u1ea1m m\u1ed9t c\u00e1ch ch\u00ednh x\u00e1c.<\/li>\n
    • Recall (\u0110\u1ed9 bao ph\u1ee7):<\/strong> T\u1ef7 l\u1ec7 c\u00e1c n\u1ed9i dung vi ph\u1ea1m th\u1ef1c t\u1ebf m\u00e0 m\u00f4 h\u00ecnh ph\u00e1t hi\u1ec7n \u0111\u01b0\u1ee3c.<\/li>\n<\/ul>\n

      The results<\/h3>\n
      \n\"Bi\u1ec3u
      \n<\/figure>\n

      Trong s\u1ed1 b\u1ed1n m\u00f4 h\u00ecnh \u0111\u01b0\u1ee3c th\u1eed nghi\u1ec7m, Amazon Nova 2 Lite \u0111\u1ea1t \u0111i\u1ec3m F1 trung b\u00ecnh cao nh\u1ea5t l\u00e0 75.70%<\/strong> tr\u00ean c\u1ea3 ba benchmark. V\u1ec1 m\u1eb7t th\u1ef1c t\u1ebf, \u0111i\u1ec1u n\u00e0y c\u00f3 ngh\u0129a l\u00e0 Nova 2 Lite ph\u00e1t hi\u1ec7n \u0111\u01b0\u1ee3c nhi\u1ec1u vi ph\u1ea1m h\u01a1n trong khi v\u1eabn duy tr\u00ec t\u1ef7 l\u1ec7 b\u00e1o \u0111\u1ed9ng gi\u1ea3 th\u1ea5p h\u01a1n so v\u1edbi c\u00e1c m\u00f4 h\u00ecnh kh\u00e1c \u0111\u01b0\u1ee3c th\u1eed nghi\u1ec7m.<\/p>\n

      V\u00ed d\u1ee5, tr\u00ean benchmark Aegis, Nova 2 Lite \u0111\u1ea1t F1 85.84% v\u1edbi s\u1ef1 c\u00e2n b\u1eb1ng g\u1ea7n nh\u01b0 ho\u00e0n h\u1ea3o gi\u1eefa Precision (86.02%) v\u00e0 Recall (85.66%). S\u1ef1 c\u00e2n b\u1eb1ng n\u00e0y r\u1ea5t quan tr\u1ecdng. M\u1ed9t m\u00f4 h\u00ecnh kh\u00e1c (Model B) tuy \u0111\u1ea1t Precision cao h\u01a1n (91.16%) nh\u01b0ng Recall ch\u1ec9 c\u00f3 71.64%, ngh\u0129a l\u00e0 n\u00f3 b\u1ecf s\u00f3t g\u1ea7n 30% c\u00e1c vi ph\u1ea1m th\u1ef1c t\u1ebf.<\/p>\n

      M\u1edf r\u1ed9ng sang ki\u1ec3m duy\u1ec7t \u0111a ph\u01b0\u01a1ng ti\u1ec7n (Multimodal)<\/h2>\n

      Ngo\u00e0i v\u0103n b\u1ea3n, Amazon Nova 2 c\u0169ng h\u1ed7 tr\u1ee3 ki\u1ec3m duy\u1ec7t n\u1ed9i dung h\u00ecnh \u1ea3nh v\u00e0 c\u00e1c khung h\u00ecnh video. Doanh nghi\u1ec7p c\u00f3 th\u1ec3 truy\u1ec1n m\u1ed9t h\u00ecnh \u1ea3nh c\u00f9ng v\u1edbi prompt v\u0103n b\u1ea3n, s\u1eed d\u1ee5ng c\u00f9ng c\u00e1c \u0111\u1ecbnh ngh\u0129a ch\u00ednh s\u00e1ch v\u00e0 \u0111\u1ecbnh d\u1ea1ng \u0111\u1ea7u ra \u0111\u00e3 m\u00f4 t\u1ea3 \u0111\u1ec3 ki\u1ec3m duy\u1ec7t n\u1ed9i dung h\u00ecnh \u1ea3nh v\u1ec1 b\u1ea1o l\u1ef1c, t\u1ef1 h\u1ea1i, ho\u1eb7c n\u1ed9i dung ng\u01b0\u1eddi l\u1edbn.<\/p>\n

      C\u00e1c ph\u01b0\u01a1ng ph\u00e1p hay nh\u1ea5t (Best Practices)<\/h2>\n

      D\u1ef1a tr\u00ean c\u00e1c \u0111\u00e1nh gi\u00e1, AWS khuy\u1ebfn ngh\u1ecb c\u00e1c ph\u01b0\u01a1ng ph\u00e1p sau \u0111\u1ec3 tri\u1ec3n khai ki\u1ec3m duy\u1ec7t n\u1ed9i dung v\u1edbi Amazon Nova 2 Lite:<\/p>\n

        \n
      • \u0110\u1ecbnh ngh\u0129a ch\u00ednh s\u00e1ch r\u00f5 r\u00e0ng:<\/strong> Ch\u00ednh s\u00e1ch m\u01a1 h\u1ed3 s\u1ebd d\u1eabn \u0111\u1ebfn k\u1ebft qu\u1ea3 kh\u00f4ng nh\u1ea5t qu\u00e1n.<\/li>\n
      • S\u1eed d\u1ee5ng v\u00ed d\u1ee5 few-shot:<\/strong> Cung c\u1ea5p \u00edt nh\u1ea5t m\u1ed9t c\u1eb7p v\u00ed d\u1ee5 \u0111\u1ea7u v\u00e0o-\u0111\u1ea7u ra trong prompt \u0111\u1ec3 c\u1ea3i thi\u1ec7n t\u00ednh nh\u1ea5t qu\u00e1n c\u1ee7a k\u1ebft qu\u1ea3.<\/li>\n
      • Ch\u1ecdn \u0111\u1ecbnh d\u1ea1ng prompt ph\u00f9 h\u1ee3p:<\/strong> D\u00f9ng prompt c\u00f3 c\u1ea5u tr\u00fac (XML\/JSON) cho h\u1ec7 th\u1ed1ng t\u1ef1 \u0111\u1ed9ng v\u00e0 prompt t\u1ef1 do cho quy tr\u00ecnh c\u00f3 ng\u01b0\u1eddi duy\u1ec7t.<\/li>\n
      • Y\u00eau c\u1ea7u gi\u1ea3i th\u00edch:<\/strong> Th\u00eam y\u00eau c\u1ea7u gi\u1ea3i th\u00edch v\u00e0o prompt \u0111\u1ec3 gi\u00fap ng\u01b0\u1eddi duy\u1ec7t hi\u1ec3u l\u00fd do m\u00f4 h\u00ecnh \u0111\u01b0a ra quy\u1ebft \u0111\u1ecbnh, h\u1eefu \u00edch cho vi\u1ec7c ki\u1ec3m tra v\u00e0 ki\u1ec3m to\u00e1n.<\/li>\n
      • Th\u1eed nghi\u1ec7m c\u00e1c ch\u1ebf \u0111\u1ed9:<\/strong> Th\u1eed nghi\u1ec7m c\u1ea3 ch\u1ebf \u0111\u1ed9 reasoning<\/em> v\u00e0 non-reasoning<\/em> \u0111\u1ec3 t\u00ecm ra s\u1ef1 c\u00e2n b\u1eb1ng ph\u00f9 h\u1ee3p gi\u1eefa \u0111\u1ed9 ch\u00ednh x\u00e1c v\u00e0 th\u00f4ng l\u01b0\u1ee3ng cho tr\u01b0\u1eddng h\u1ee3p s\u1eed d\u1ee5ng c\u1ee5 th\u1ec3.<\/li>\n
      • Li\u00ean t\u1ee5c c\u1ea3i ti\u1ebfn prompt:<\/strong> Th\u1eed nghi\u1ec7m v\u1edbi c\u00e1c m\u1eabu n\u1ed9i dung th\u1ef1c t\u1ebf v\u00e0 tinh ch\u1ec9nh \u0111\u1ecbnh ngh\u0129a ch\u00ednh s\u00e1ch d\u1ef1a tr\u00ean c\u00e1c l\u1ed7i c\u1ee7a m\u00f4 h\u00ecnh.<\/li>\n
      • X\u00e2y d\u1ef1ng quy tr\u00ecnh b\u1ea3o v\u1ec7:<\/strong> K\u1ebft h\u1ee3p con ng\u01b0\u1eddi \u0111\u1ec3 xem x\u00e9t c\u00e1c tr\u01b0\u1eddng h\u1ee3p ph\u1ee9c t\u1ea1p v\u00e0 \u0111\u1ecbnh k\u1ef3 ki\u1ec3m tra hi\u1ec7u su\u1ea5t c\u1ee7a m\u00f4 h\u00ecnh.<\/li>\n<\/ul>\n

        K\u1ebft lu\u1eadn<\/h2>\n

        K\u1ef9 thu\u1eadt prompting v\u1edbi Amazon Nova 2 Lite cung c\u1ea5p m\u1ed9t gi\u1ea3i ph\u00e1p m\u1ea1nh m\u1ebd, linh ho\u1ea1t v\u00e0 hi\u1ec7u su\u1ea5t cao cho vi\u1ec7c x\u00e2y d\u1ef1ng c\u00e1c h\u1ec7 th\u1ed1ng ki\u1ec3m duy\u1ec7t n\u1ed9i dung t\u00f9y ch\u1ec9nh. Doanh nghi\u1ec7p c\u00f3 th\u1ec3 \u00e1p d\u1ee5ng c\u00e1c m\u1eabu prompt n\u00e0y v\u1edbi b\u1ed9 ch\u00ednh s\u00e1ch ri\u00eang \u0111\u1ec3 \u0111\u00e1p \u1ee9ng c\u00e1c y\u00eau c\u1ea7u ki\u1ec3m duy\u1ec7t \u0111\u1eb7c th\u00f9 c\u1ee7a m\u00ecnh tr\u00ean n\u1ec1n t\u1ea3ng Amazon Bedrock.<\/p>","protected":false},"excerpt":{"rendered":"

        C\u00e1c doanh nghi\u1ec7p c\u00f3 n\u1ec1n t\u1ea3ng t\u1ea1o ra l\u01b0\u1ee3ng l\u1edbn n\u1ed9i dung t\u1eeb ng\u01b0\u1eddi d\u00f9ng (user-generated content) lu\u00f4n \u0111\u1ed1i m\u1eb7t v\u1edbi th\u00e1ch th\u1ee9c ki\u1ec3m duy\u1ec7t \u1edf quy m\u00f4 l\u1edbn. Vi\u1ec7c n\u00e0y \u0111\u00f2i h\u1ecfi s\u1ef1 c\u00e2n b\u1eb1ng gi\u1eefa vi\u1ec7c ph\u00e1t hi\u1ec7n ch\u00ednh x\u00e1c c\u00e1c vi ph\u1ea1m ch\u00ednh s\u00e1ch v\u00e0 tr\u00e1nh g\u1eafn c\u1edd nh\u1ea7m c\u00e1c b\u00e0i \u0111\u0103ng…<\/p>","protected":false},"author":22,"featured_media":67033,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-67036","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ctelers-blogs"],"acf":[],"yoast_head":"\nAmazon Nova 2 Lite: T\u1ed1i \u01b0u ki\u1ec3m duy\u1ec7t n\u1ed9i dung b\u1eb1ng Prompt Engineering | CMC Telecom<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/aws.cmctelecom.vn\/en\/2026\/07\/21\/amazon-nova-2-lite-toi-uu-kiem-duyet-noi-dung-bang-prompt-engineering\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Amazon Nova 2 Lite: T\u1ed1i \u01b0u ki\u1ec3m duy\u1ec7t n\u1ed9i dung b\u1eb1ng Prompt Engineering | CMC Telecom\" \/>\n<meta property=\"og:description\" content=\"C\u00e1c doanh nghi\u1ec7p c\u00f3 n\u1ec1n t\u1ea3ng t\u1ea1o ra l\u01b0\u1ee3ng l\u1edbn n\u1ed9i dung t\u1eeb ng\u01b0\u1eddi d\u00f9ng (user-generated content) lu\u00f4n \u0111\u1ed1i m\u1eb7t v\u1edbi th\u00e1ch th\u1ee9c ki\u1ec3m duy\u1ec7t \u1edf quy m\u00f4 l\u1edbn. 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