{"id":71086,"date":"2024-05-25T16:48:30","date_gmt":"2024-05-25T09:48:30","guid":{"rendered":"https:\/\/jobsgo.vn\/blog\/?p=71086"},"modified":"2025-04-08T14:54:15","modified_gmt":"2025-04-08T07:54:15","slug":"prompt-engineering-la-gi","status":"publish","type":"post","link":"https:\/\/jobsgo.vn\/blog\/prompt-engineering-la-gi\/","title":{"rendered":"Prompt Engineering L\u00e0 G\u00ec? Ph\u00e2n Lo\u1ea1i & \u1ee8ng D\u1ee5ng C\u1ee7a Prompt Engineering"},"content":{"rendered":"\n
Prompt engineering l\u00e0 g\u00ec<\/em><\/strong><\/a>? Prompt engineering \u0111\u00f3ng vai tr\u00f2 quan tr\u1ecdng trong vi\u1ec7c \u0111\u1ecbnh h\u00ecnh v\u00e0 \u0111i\u1ec1u ch\u1ec9nh \u0111\u1ea7u ra cho nh\u1eefng c\u00f4ng c\u1ee5 tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o nh\u01b0 ChatGPT, GPT – 2,… \u0110\u1ec3 t\u00ecm hi\u1ec3u chi ti\u1ebft h\u01a1n v\u1ec1 k\u1ef9 thu\u1eadt n\u00e0y, c\u00f9ng tham kh\u1ea3o b\u00e0i vi\u1ebft d\u01b0\u1edbi \u0111\u00e2y.<\/em><\/p>\n M\u1ee5c l\u1ee5c<\/p> Prompt Engineering<\/strong> l\u00e0 m\u1ed9t qu\u00e1 tr\u00ecnh thi\u1ebft k\u1ebf \u0111\u1ea7u v\u00e0o (th\u01b0\u1eddng \u0111\u01b0\u1ee3c g\u1ecdi l\u00e0 prompt<\/strong>) gi\u00fap m\u00f4 h\u00ecnh generative AI c\u00f3 th\u1ec3 hi\u1ec3u v\u00e0 di\u1ec5n gi\u1ea3i \u0111\u01b0\u1ee3c nh\u1eb1m t\u1ea1o ra k\u1ebft qu\u1ea3 mong mu\u1ed1n.<\/p><\/blockquote>\n Generative AI<\/strong><\/a> (AI ph\u00e1i sinh) l\u00e0 m\u1ed9t lo\u1ea1i AI c\u00f3 th\u1ec3 t\u1ea1o ra v\u0103n b\u1ea3n, h\u00ecnh \u1ea3nh, \u00e2m thanh hay d\u1eef li\u1ec7u t\u1ed5ng h\u1ee3p s\u1eed d\u1ee5ng nh\u1eefng m\u00f4 h\u00ecnh t\u1ed5ng qu\u00e1t thay v\u00ec ph\u00e2n t\u00edch nh\u1eefng d\u1eef li\u1ec7u hi\u1ec7n c\u00f3.<\/p>\n \u0110\u1ec3 k\u1ebft qu\u1ea3 t\u00ecm ki\u1ebfm c\u00f3 gi\u00e1 tr\u1ecb h\u01a1n th\u00ec vi\u1ec7c t\u1ea1o ra prompt hi\u1ec7u qu\u1ea3 l\u00e0 \u0111i\u1ec1u c\u1ea7n thi\u1ebft. D\u01b0\u1edbi \u0111\u00e2y l\u00e0 t\u1ea7m quan tr\u1ecdng c\u1ee7a prompt engineering:<\/p>\n Qu\u00e1 tr\u00ecnh thi\u1ebft k\u1ebf \u0111\u1ea7u v\u00e0o (prompt) \u0111\u00f3ng vai tr\u00f2 quan tr\u1ecdng trong vi\u1ec7c n\u00e2ng cao hi\u1ec7u qu\u1ea3 ho\u1ea1t \u0111\u1ed9ng c\u1ee7a c\u00e1c m\u00f4 h\u00ecnh AI. Khi \u0111\u1ea7u v\u00e0o \u0111\u01b0\u1ee3c x\u00e2y d\u1ef1ng m\u1ed9t c\u00e1ch th\u00edch h\u1ee3p, \u0111i\u1ec1u n\u00e0y s\u1ebd gi\u00fap m\u00f4 h\u00ecnh AI d\u1ec5 d\u00e0ng n\u1eafm b\u1eaft \u00fd \u0111\u1ecbnh v\u00e0 y\u00eau c\u1ea7u c\u1ee7a ng\u01b0\u1eddi d\u00f9ng, t\u1eeb \u0111\u00f3 t\u1ea1o ra \u0111\u1ea7u ra ph\u00f9 h\u1ee3p v\u00e0 c\u00f3 ch\u1ea5t l\u01b0\u1ee3ng cao h\u01a1n.<\/p>\n Trong b\u1ed1i c\u1ea3nh t\u00ecm ki\u1ebfm th\u00f4ng tin, vi\u1ec7c \u00e1p d\u1ee5ng prompt engineering gi\u00fap c\u1ea3i thi\u1ec7n \u0111\u00e1ng k\u1ec3 ch\u1ea5t l\u01b0\u1ee3ng k\u1ebft qu\u1ea3. Khi \u0111\u1ea7u v\u00e0o \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf t\u1ed1t, n\u00f3 h\u01b0\u1edbng d\u1eabn m\u00f4 h\u00ecnh AI t\u1eadp trung v\u00e0o nh\u1eefng th\u00f4ng tin quan tr\u1ecdng v\u00e0 lo\u1ea1i b\u1ecf nh\u1eefng n\u1ed9i dung kh\u00f4ng li\u00ean quan. \u0110i\u1ec1u n\u00e0y \u0111\u1ea3m b\u1ea3o r\u1eb1ng ng\u01b0\u1eddi d\u00f9ng nh\u1eadn \u0111\u01b0\u1ee3c k\u1ebft qu\u1ea3 t\u00ecm ki\u1ebfm ch\u00ednh x\u00e1c, \u0111\u1ea7y \u0111\u1ee7 v\u00e0 ph\u00f9 h\u1ee3p v\u1edbi nhu c\u1ea7u.<\/p>\n Vi\u1ec7c s\u1eed d\u1ee5ng prompt engineering hi\u1ec7u qu\u1ea3 gi\u00fap t\u1ed1i \u01b0u h\u00f3a qu\u00e1 tr\u00ecnh x\u1eed l\u00fd th\u00f4ng tin c\u1ee7a c\u00e1c m\u00f4 h\u00ecnh AI. Khi \u0111\u1ea7u v\u00e0o \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf ch\u00ednh x\u00e1c v\u00e0 r\u00f5 r\u00e0ng, m\u00f4 h\u00ecnh AI c\u00f3 th\u1ec3 nhanh ch\u00f3ng x\u00e1c \u0111\u1ecbnh v\u00e0 t\u1eadp trung v\u00e0o c\u00e1c y\u00eau c\u1ea7u then ch\u1ed1t, ti\u1ebft ki\u1ec7m th\u1eddi gian \u0111\u00e1ng k\u1ec3.<\/p>\n Ngo\u00e0i ra, prompt engineering c\u0169ng gi\u00fap gi\u1ea3m thi\u1ec3u s\u1ef1 l\u00e3ng ph\u00ed th\u1eddi gian do k\u1ebft qu\u1ea3 kh\u00f4ng mong mu\u1ed1n. B\u1eb1ng c\u00e1ch cung c\u1ea5p \u0111\u1ea7u v\u00e0o chi ti\u1ebft v\u00e0 c\u00f3 c\u1ea5u tr\u00fac, m\u00f4 h\u00ecnh AI c\u00f3 th\u1ec3 tr\u00e1nh \u0111\u01b0\u1ee3c s\u1ef1 l\u1ea1c \u0111\u1ec1 ho\u1eb7c t\u1ea1o ra \u0111\u1ea7u ra kh\u00f4ng li\u00ean quan. \u0110i\u1ec1u n\u00e0y gi\u00fap ng\u01b0\u1eddi d\u00f9ng ti\u1ebft ki\u1ec7m th\u1eddi gian qu\u00fd b\u00e1u thay v\u00ec ph\u1ea3i \u0111i\u1ec1u ch\u1ec9nh v\u00e0 th\u1eed l\u1ea1i nhi\u1ec1u l\u1ea7n.<\/p>\n Hi\u1ec7n nay, tr\u1ea3i nghi\u1ec7m ng\u01b0\u1eddi d\u00f9ng \u0111\u00f3ng vai tr\u00f2 quan tr\u1ecdng trong vi\u1ec7c quy\u1ebft \u0111\u1ecbnh s\u1ef1 th\u00e0nh c\u00f4ng c\u1ee7a m\u1ed9t c\u00f4ng c\u1ee5 hay \u1ee9ng d\u1ee5ng. Prompt engineering l\u00e0 m\u1ed9t y\u1ebfu t\u1ed1 then ch\u1ed1t gi\u00fap n\u00e2ng cao tr\u1ea3i nghi\u1ec7m khi s\u1eed d\u1ee5ng c\u00e1c c\u00f4ng c\u1ee5 d\u1ef1a tr\u00ean tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o (AI). Khi \u0111\u1ea7u v\u00e0o \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf m\u1ed9t c\u00e1ch r\u00f5 r\u00e0ng v\u00e0 d\u1ec5 hi\u1ec3u, ng\u01b0\u1eddi d\u00f9ng s\u1ebd c\u1ea3m th\u1ea5y d\u1ec5 d\u00e0ng h\u01a1n trong vi\u1ec7c t\u01b0\u01a1ng t\u00e1c v\u1edbi c\u00e1c m\u00f4 h\u00ecnh AI.<\/p>\n H\u01a1n n\u1eefa, prompt engineering c\u0169ng g\u00f3p ph\u1ea7n t\u0103ng c\u01b0\u1eddng s\u1ef1 tin c\u1eady v\u00e0 nh\u1ea5t qu\u00e1n c\u1ee7a k\u1ebft qu\u1ea3 \u0111\u1ea7u ra. Khi \u0111\u1ea7u v\u00e0o \u0111\u01b0\u1ee3c x\u00e2y d\u1ef1ng m\u1ed9t c\u00e1ch chuy\u00ean nghi\u1ec7p, n\u00f3 gi\u00fap gi\u1ea3m thi\u1ec3u s\u1ef1 hi\u1ec3u l\u1ea7m v\u00e0 \u0111\u1ea3m b\u1ea3o r\u1eb1ng m\u00f4 h\u00ecnh AI c\u00f3 th\u1ec3 \u0111\u00e1p \u1ee9ng ch\u00ednh x\u00e1c c\u00e1c y\u00eau c\u1ea7u c\u1ee7a ng\u01b0\u1eddi d\u00f9ng.<\/p>\n \u0110i\u1ec1u n\u00e0y t\u1ea1o ra m\u1ed9t tr\u1ea3i nghi\u1ec7m s\u1eed d\u1ee5ng c\u00f4ng c\u1ee5 tr\u01a1n tru v\u00e0 th\u00e2n thi\u1ec7n h\u01a1n, khi\u1ebfn ng\u01b0\u1eddi d\u00f9ng c\u1ea3m th\u1ea5y h\u00e0i l\u00f2ng v\u00e0 mu\u1ed1n ti\u1ebfp t\u1ee5c s\u1eed d\u1ee5ng c\u00f4ng c\u1ee5 \u0111\u00f3.<\/p>\n Xem th\u00eam: EdTech L\u00e0 G\u00ec? L\u1ee3i \u00cdch & Nh\u1eefng M\u00f4 H\u00ecnh Edtech Ph\u1ed5 Bi\u1ebfn Nh\u1ea5t Hi\u1ec7n Nay<\/strong><\/a><\/p>\n Prompt engineering c\u00f3 5 b\u01b0\u1edbc ch\u00ednh bao g\u1ed3m:<\/p>\n Xem th\u00eam: Prompt Engineering L\u00e0 G\u00ec? Ph\u00e2n Lo\u1ea1i & \u1ee8ng D\u1ee5ng C\u1ee7a Prompt Engineering<\/strong><\/a><\/p>\n Prompt engineering c\u00f3 \u1ee9ng d\u1ee5ng quan tr\u1ecdng trong l\u0129nh v\u1ef1c tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o (AI) hi\u1ec7n nay. M\u1ed9t s\u1ed1 \u1ee9ng d\u1ee5ng \u0111i\u1ec3n h\u00ecnh c\u1ee7a prompt engineering bao g\u1ed3m:<\/p>\n Trong qu\u00e1 tr\u00ecnh t\u01b0\u01a1ng t\u00e1c v\u1edbi c\u00e1c chatbot AI s\u1eed d\u1ee5ng m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef l\u1edbn nh\u01b0 ChatGPT, vi\u1ec7c cung c\u1ea5p h\u01b0\u1edbng d\u1eabn c\u1ee5 th\u1ec3 v\u00e0 r\u00f5 r\u00e0ng \u0111\u00f3ng vai tr\u00f2 quan tr\u1ecdng. \u0110\u1ec3 \u0111\u1ea3m b\u1ea3o m\u00f4 h\u00ecnh AI c\u00f3 th\u1ec3 t\u1eadp trung v\u00e0o m\u1ed9t kh\u00eda c\u1ea1nh ho\u1eb7c v\u1ea5n \u0111\u1ec1 nh\u1ea5t \u0111\u1ecbnh, ng\u01b0\u1eddi d\u00f9ng c\u1ea7n x\u00e2y d\u1ef1ng c\u00e1c c\u00e2u h\u1ecfi, y\u00eau c\u1ea7u m\u1ed9t c\u00e1ch chi ti\u1ebft v\u00e0 ch\u00ednh x\u00e1c.<\/p>\n \u0110i\u1ec1u n\u00e0y gi\u00fap \u0111\u1ecbnh h\u01b0\u1edbng m\u00f4 h\u00ecnh AI theo \u0111\u00fang mong mu\u1ed1n, tr\u00e1nh s\u1ef1 lan man ho\u1eb7c \u0111i ch\u1ec7ch kh\u1ecfi ch\u1ee7 \u0111\u1ec1 ch\u00ednh. B\u1eb1ng c\u00e1ch \u0111\u01b0a ra prompt r\u00f5 r\u00e0ng, ng\u01b0\u1eddi d\u00f9ng c\u00f3 th\u1ec3 khai th\u00e1c t\u1ed1i \u0111a ti\u1ec1m n\u0103ng v\u00e0 kh\u1ea3 n\u0103ng x\u1eed l\u00fd c\u1ee7a m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef l\u1edbn, nh\u1eadn \u0111\u01b0\u1ee3c nh\u1eefng \u0111\u00e1p \u00e1n ph\u00f9 h\u1ee3p v\u00e0 h\u1eefu \u00edch cho nhu c\u1ea7u c\u1ee5 th\u1ec3 c\u1ee7a m\u00ecnh.<\/p>\n Khi l\u00e0m vi\u1ec7c v\u1edbi c\u00e1c m\u00f4 h\u00ecnh AI, vi\u1ec7c cung c\u1ea5p m\u1ed9t ch\u1ec9 d\u1eabn r\u00f5 r\u00e0ng v\u1ec1 c\u1ea5u tr\u00fac c\u1ea3 \u0111\u1ea7u ra mong mu\u1ed1n l\u00e0 c\u1ea7n thi\u1ebft. B\u1eb1ng c\u00e1ch ch\u1ec9 \u0111\u1ecbnh r\u00f5 r\u00e0ng v\u1ec1 c\u00e1ch t\u1ed5 ch\u1ee9c n\u1ed9i dung, bi\u1ec3u di\u1ec5n d\u1eef li\u1ec7u, \u0111\u1ed9 d\u00e0i ph\u1ea3n h\u1ed3i, lo\u1ea1i ng\u00f4n ng\u1eef hay b\u1ea5t k\u1ef3 kh\u00eda c\u1ea1nh n\u00e0o kh\u00e1c \u1ea3nh h\u01b0\u1edfng \u0111\u1ebfn vi\u1ec7c tr\u00ecnh b\u00e0y th\u00f4ng tin, ng\u01b0\u1eddi d\u00f9ng c\u00f3 th\u1ec3 \u0111\u1ea3m b\u1ea3o t\u00ednh nh\u1ea5t qu\u00e1n v\u00e0 d\u1ec5 \u0111\u1ecdc c\u1ee7a c\u00e1c ph\u1ea3n h\u1ed3i t\u1eeb m\u00f4 h\u00ecnh AI.<\/p>\n H\u01a1n n\u1eefa, vi\u1ec7c \u0111\u1ecbnh h\u01b0\u1edbng c\u1ee5 th\u1ec3 c\u0169ng gi\u00fap \u0111\u00e1p \u1ee9ng c\u00e1c y\u00eau c\u1ea7u ri\u00eang bi\u1ec7t trong qu\u00e1 tr\u00ecnh x\u1eed l\u00fd d\u1eef li\u1ec7u. Trong nhi\u1ec1u tr\u01b0\u1eddng h\u1ee3p, ph\u1ea3n h\u1ed3i c\u1ee7a m\u00f4 h\u00ecnh AI s\u1ebd \u0111\u01b0\u1ee3c chuy\u1ec3n ti\u1ebfp sang c\u00e1c h\u1ec7 th\u1ed1ng ph\u00e2n t\u00edch d\u1eef li\u1ec7u kh\u00e1c, \u0111\u00f2i h\u1ecfi \u0111\u1ea7u v\u00e0o ph\u1ea3i c\u00f3 \u0111\u1ecbnh d\u1ea1ng chu\u1ea9n nh\u01b0 JSON, YAML ho\u1eb7c c\u00e1c c\u1ea5u tr\u00fac d\u1eef li\u1ec7u kh\u00e1c.<\/p>\n Vi\u1ec7c cung c\u1ea5p h\u01b0\u1edbng d\u1eabn r\u00f5 r\u00e0ng v\u1ec1 \u0111\u1ecbnh d\u1ea1ng \u0111\u1ea7u ra gi\u00fap \u0111\u1ea3m b\u1ea3o t\u00ednh t\u01b0\u01a1ng th\u00edch v\u00e0 d\u1ec5 d\u00e0ng t\u00edch h\u1ee3p v\u1edbi c\u00e1c h\u1ec7 th\u1ed1ng x\u1eed l\u00fd d\u1eef li\u1ec7u ti\u1ebfp theo.<\/p>\n Qu\u00e1 tr\u00ecnh l\u00e0m vi\u1ec7c v\u1edbi c\u00e1c m\u00f4 h\u00ecnh AI c\u00f3 nhi\u1ec1u \u0111i\u1ec3m t\u01b0\u01a1ng \u0111\u1ed3ng v\u1edbi vi\u1ec7c h\u1ee3p t\u00e1c v\u1edbi \u0111\u1ed3ng nghi\u1ec7p tr\u00ean m\u1ed9t nhi\u1ec7m v\u1ee5 m\u1edbi. \u0110\u1ec3 \u0111\u1ea3m b\u1ea3o s\u1ef1 hi\u1ec3u bi\u1ebft v\u00e0 h\u01b0\u1edbng d\u1eabn \u0111\u00fang \u0111\u1eafn, ng\u01b0\u1eddi s\u1eed d\u1ee5ng c\u1ea7n cung c\u1ea5p cho m\u00f4 h\u00ecnh AI nh\u1eefng v\u00ed d\u1ee5 c\u1ee5 th\u1ec3 v\u1ec1 c\u00e1c nhi\u1ec7m v\u1ee5 t\u01b0\u01a1ng t\u1ef1 \u0111\u00e3 \u0111\u01b0\u1ee3c ho\u00e0n th\u00e0nh t\u1ed1t trong qu\u00e1 kh\u1ee9 ho\u1eb7c m\u00f4 t\u1ea3 r\u00f5 r\u00e0ng v\u1ec1 k\u1ef3 v\u1ecdng, y\u00eau c\u1ea7u \u0111\u1ed1i v\u1edbi \u0111\u1ea7u ra mong mu\u1ed1n.<\/p>\n B\u1eb1ng c\u00e1ch ti\u1ebfp c\u1eadn nh\u01b0 v\u1eady, m\u00f4 h\u00ecnh AI c\u00f3 th\u1ec3 n\u1eafm b\u1eaft \u0111\u01b0\u1ee3c ng\u1eef c\u1ea3nh, b\u1ed1i c\u1ea3nh v\u00e0 h\u1ecdc h\u1ecfi t\u1eeb nh\u1eefng tr\u01b0\u1eddng h\u1ee3p th\u1ef1c t\u1ebf, gi\u00fap m\u00f4 h\u00ecnh hi\u1ec3u s\u00e2u s\u1eafc h\u01a1n v\u1ec1 nhi\u1ec7m v\u1ee5 \u0111ang \u0111\u01b0\u1ee3c giao v\u00e0 \u0111\u01b0a ra k\u1ebft qu\u1ea3 ph\u00f9 h\u1ee3p v\u1edbi mong \u0111\u1ee3i.<\/p>\n Trong qu\u00e1 tr\u00ecnh ph\u00e1t tri\u1ec3n v\u00e0 s\u1eed d\u1ee5ng c\u00e1c m\u00f4 h\u00ecnh AI d\u1ef1a tr\u00ean ng\u00f4n ng\u1eef, vi\u1ec7c \u0111\u00e1nh gi\u00e1 ch\u1ea5t l\u01b0\u1ee3ng ph\u1ea3n h\u1ed3i l\u00e0 m\u1ed9t th\u00e1ch th\u1ee9c l\u1edbn. Hi\u1ec7n t\u1ea1i, ph\u01b0\u01a1ng ph\u00e1p ph\u1ed5 bi\u1ebfn l\u00e0 th\u1eed nghi\u1ec7m th\u00f4ng qua qu\u00e1 tr\u00ecnh th\u1eed v\u00e0 sai, ch\u1ea1y prompt v\u00e0 quan s\u00e1t k\u1ebft qu\u1ea3 \u0111\u1ea7u ra.<\/p>\n Tuy nhi\u00ean, ph\u01b0\u01a1ng ph\u00e1p n\u00e0y c\u00f3 h\u1ea1n ch\u1ebf khi l\u00e0m vi\u1ec7c v\u1edbi c\u00e1c \u1ee9ng d\u1ee5ng ph\u1ee9c t\u1ea1p ho\u1eb7c c\u1ea7n s\u1eed d\u1ee5ng l\u1ea1i prompt nhi\u1ec1u l\u1ea7n. Trong nh\u1eefng tr\u01b0\u1eddng h\u1ee3p \u0111\u00f3, vi\u1ec7c \u0111o l\u01b0\u1eddng k\u1ebft qu\u1ea3 m\u1ed9t c\u00e1ch kh\u1eaft khe v\u00e0 khoa h\u1ecdc l\u00e0 \u0111i\u1ec1u c\u1ea7n thi\u1ebft.<\/p>\n Nh\u1eadn th\u1ee9c \u0111\u01b0\u1ee3c t\u1ea7m quan tr\u1ecdng c\u1ee7a v\u1ea5n \u0111\u1ec1 n\u00e0y, OpenAI \u0111\u00e3 ph\u00e1t tri\u1ec3n m\u1ed9t framework c\u00f3 t\u00ean Evals nh\u1eb1m \u0111\u00e1nh gi\u00e1 v\u00e0 so s\u00e1nh hi\u1ec7u su\u1ea5t c\u1ee7a c\u00e1c m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef l\u1edbn (LLMs). Ngo\u00e0i ra, c\u00e1c nh\u00e0 nghi\u00ean c\u1ee9u c\u0169ng \u0111\u00e3 s\u1eed d\u1ee5ng c\u00e1c m\u00f4 h\u00ecnh ch\u1ea5t l\u01b0\u1ee3ng cao h\u01a1n nh\u01b0 GPT-4 \u0111\u1ec3 \u0111\u00e1nh gi\u00e1 ph\u1ea3n h\u1ed3i t\u1eeb c\u00e1c m\u00f4 h\u00ecnh t\u01b0\u01a1ng \u0111\u01b0\u01a1ng kh\u00e1c.<\/p>\n V\u00ed d\u1ee5, m\u00f4 h\u00ecnh Vicuna-13B \u0111\u01b0\u1ee3c tinh ch\u1ec9nh d\u1ef1a tr\u00ean m\u00f4 h\u00ecnh m\u00e3 ngu\u1ed3n m\u1edf LLaMA c\u1ee7a Meta \u0111\u00e3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 \u0111\u00e1nh gi\u00e1 ch\u1ea5t l\u01b0\u1ee3ng \u0111\u1ea7u ra. Nh\u1eefng n\u1ed7 l\u1ef1c n\u00e0y nh\u1eb1m m\u1ee5c \u0111\u00edch x\u00e2y d\u1ef1ng m\u1ed9t h\u1ec7 th\u1ed1ng \u0111\u00e1nh gi\u00e1 tin c\u1eady v\u00e0 kh\u00e1ch quan cho c\u00e1c m\u00f4 h\u00ecnh AI ng\u00f4n ng\u1eef.<\/p>\n \u0110\u1ec3 \u0111\u1ea3m b\u1ea3o hi\u1ec7u qu\u1ea3 v\u00e0 gi\u1ea3m thi\u1ec3u l\u1ed7i khi s\u1eed d\u1ee5ng c\u00e1c m\u00f4 h\u00ecnh AI trong c\u00e1c nhi\u1ec7m v\u1ee5 ph\u1ee9c t\u1ea1p, m\u1ed9t c\u00e1ch ti\u1ebfp c\u1eadn h\u1eefu \u00edch l\u00e0 chia nh\u1ecf nhi\u1ec7m v\u1ee5 th\u00e0nh c\u00e1c prompt \u0111\u01a1n gi\u1ea3n h\u01a1n.<\/p>\n T\u01b0\u01a1ng t\u1ef1 nh\u01b0 c\u00e1ch chia m\u1ed9t h\u1ec7 th\u1ed1ng ph\u1ee9c t\u1ea1p th\u00e0nh c\u00e1c th\u00e0nh ph\u1ea7n ri\u00eang bi\u1ec7t, vi\u1ec7c ph\u00e2n chia nhi\u1ec7m v\u1ee5 l\u1edbn th\u00e0nh c\u00e1c y\u00eau c\u1ea7u nh\u1ecf h\u01a1n s\u1ebd gi\u00fap m\u00f4 h\u00ecnh AI d\u1ec5 d\u00e0ng x\u1eed l\u00fd v\u00e0 \u0111\u01b0a ra k\u1ebft qu\u1ea3 ch\u00ednh x\u00e1c h\u01a1n. C\u00e1ch ti\u1ebfp c\u1eadn theo h\u01b0\u1edbng n\u00e0y c\u00f3 th\u1ec3 t\u1ed1i \u01b0u h\u00f3a qu\u00e1 tr\u00ecnh, gi\u1ea3m thi\u1ec3u r\u1ee7i ro l\u1ed7i v\u00e0 \u0111\u1ea1t \u0111\u01b0\u1ee3c hi\u1ec7u su\u1ea5t cao nh\u1ea5t t\u1eeb c\u00e1c m\u00f4 h\u00ecnh AI.<\/p>\n Xem th\u00eam: Chuy\u1ec3n \u0110\u1ed5i S\u1ed1 L\u00e0 G\u00ec? V\u00ed D\u1ee5 C\u1ee5 Th\u1ec3 V\u1ec1 Chuy\u1ec3n \u0110\u1ed5i S\u1ed1 Th\u1eddi 4.0<\/strong><\/a><\/p>\n S\u1ef1 n\u1ed5i l\u00ean nhanh ch\u00f3ng c\u1ee7a nh\u1eefng c\u00f4ng c\u1ee5 AI c\u00f3 t\u00ednh s\u00e1ng t\u1ea1o cao nh\u01b0 ChatGPT \u0111\u00e3 t\u1ea1o ra c\u01a1 h\u1ed9i ngh\u1ec1 nghi\u1ec7p c\u1ef1c l\u1edbn cho prompt engineer, \u0111\u1ed3ng th\u1eddi c\u0169ng l\u00e0 m\u1ed9t c\u00e2u tr\u1ea3 l\u1eddi ti\u1ec1m n\u0103ng cho c\u00e2u h\u1ecfi <\/span>h\u1ecdc tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o ra l\u00e0m g\u00ec<\/a>?<\/span><\/strong>.<\/span><\/p>\n Prompt Engineer l\u00e0 k\u1ef9 s\u01b0 \u0111\u1ea3m nh\u1eadn c\u00f4ng vi\u1ec7c t\u1ed1i \u01b0u h\u00f3a t\u01b0\u01a1ng t\u00e1c gi\u1eefa ng\u01b0\u1eddi d\u00f9ng v\u00e0 c\u00e1c m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef AI. H\u1ecd chuy\u00ean t\u00e2m thi\u1ebft k\u1ebf, \u0111i\u1ec1u ch\u1ec9nh v\u00e0 tinh ch\u1ec9nh \u0111\u1ea7u v\u00e0o (prompt) cho c\u00e1c m\u00f4 h\u00ecnh n\u00e0y nh\u1eb1m \u0111\u1ea3m b\u1ea3o r\u1eb1ng \u0111\u1ea7u ra ho\u1eb7c h\u00e0nh vi c\u1ee7a m\u00f4 h\u00ecnh ph\u00f9 h\u1ee3p v\u1edbi mong \u0111\u1ee3i c\u1ee7a ng\u01b0\u1eddi d\u00f9ng.<\/p>\n Th\u00f4ng qua k\u1ef9 n\u0103ng v\u00e0 kinh nghi\u1ec7m, prompt engineer c\u00f3 kh\u1ea3 n\u0103ng x\u00e2y d\u1ef1ng c\u00e1c prompt r\u00f5 r\u00e0ng, s\u00fac t\u00edch, gi\u00fap \u0111\u1ecbnh h\u01b0\u1edbng m\u00f4 h\u00ecnh AI hi\u1ec3u \u0111\u00fang ng\u1eef c\u1ea3nh v\u00e0 y\u00eau c\u1ea7u, t\u1eeb \u0111\u00f3 t\u1ea1o ra ph\u1ea3n h\u1ed3i ch\u00ednh x\u00e1c v\u00e0 h\u1eefu \u00edch nh\u1ea5t cho ng\u01b0\u1eddi s\u1eed d\u1ee5ng.<\/p>\n \u0110\u1ec3 tr\u1edf th\u00e0nh m\u1ed9t prompt engineer gi\u1ecfi, ng\u01b0\u1eddi l\u00e0m c\u00f4ng vi\u1ec7c n\u00e0y c\u1ea7n ph\u1ea3i s\u1edf h\u1eefu nh\u1eefng k\u1ef9 n\u0103ng v\u00e0 ki\u1ebfn th\u1ee9c chuy\u00ean m\u00f4n \u0111a d\u1ea1ng. Tr\u01b0\u1edbc ti\u00ean, kh\u1ea3 n\u0103ng gi\u1ea3i quy\u1ebft v\u1ea5n \u0111\u1ec1 v\u00e0 k\u1ef9 n\u0103ng ph\u00e2n t\u00edch l\u00e0 nh\u1eefng y\u1ebfu t\u1ed1 thi\u1ebft y\u1ebfu, gi\u00fap h\u1ecd c\u00f3 th\u1ec3 x\u00e1c \u0111\u1ecbnh v\u00e0 x\u1eed l\u00fd c\u00e1c th\u00e1ch th\u1ee9c m\u1ed9t c\u00e1ch hi\u1ec7u qu\u1ea3.<\/p>\n B\u00ean c\u1ea1nh \u0111\u00f3, s\u1ef1 hi\u1ec3u bi\u1ebft s\u00e2u r\u1ed9ng v\u1ec1 l\u0129nh v\u1ef1c tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o (AI), machine learning, n\u1ed9i dung do AI t\u1ea1o ra v\u00e0 x\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean l\u00e0 nh\u1eefng ki\u1ebfn th\u1ee9c n\u1ec1n t\u1ea3ng kh\u00f4ng th\u1ec3 thi\u1ebfu.<\/p>\n Ngo\u00e0i ra, \u0111\u1ec3 tr\u1edf th\u00e0nh m\u1ed9t prompt engineer xu\u1ea5t s\u1eafc, kinh nghi\u1ec7m l\u00e0m vi\u1ec7c t\u1ea1i c\u00e1c v\u1ecb tr\u00ed t\u01b0\u01a1ng \u0111\u01b0\u01a1ng c\u0169ng \u0111\u00f3ng vai tr\u00f2 quan tr\u1ecdng. \u0110i\u1ec1u n\u00e0y gi\u00fap h\u1ecd c\u00f3 c\u00e1i nh\u00ecn to\u00e0n di\u1ec7n v\u00e0 th\u1ef1c t\u1ebf h\u01a1n v\u1ec1 c\u00f4ng vi\u1ec7c c\u0169ng nh\u01b0 kh\u1ea3 n\u0103ng l\u00e0m vi\u1ec7c hi\u1ec7u qu\u1ea3 v\u1edbi c\u00e1c b\u1ed9 ph\u1eadn kh\u00e1c nhau trong t\u1ed5 ch\u1ee9c.<\/p>\n Cu\u1ed1i c\u00f9ng, vi\u1ec7c s\u1edf h\u1eefu ch\u1ee9ng ch\u1ec9 \u0111\u00e0o t\u1ea1o li\u00ean quan \u0111\u1ebfn khoa h\u1ecdc m\u00e1y t\u00ednh, AI ho\u1eb7c c\u00e1c l\u0129nh v\u1ef1c li\u00ean quan c\u0169ng l\u00e0 m\u1ed9t l\u1ee3i th\u1ebf gi\u00fap n\u00e2ng cao v\u1ecb th\u1ebf v\u00e0 kh\u1eb3ng \u0111\u1ecbnh n\u0103ng l\u1ef1c c\u1ee7a m\u1ed9t prompt engineer.<\/p>\n Xem th\u00eam: CIO L\u00e0 G\u00ec? T\u1ed5ng H\u1ee3p Th\u00f4ng Tin Quan Tr\u1ecdng Nh\u1ea5t V\u1ec1 CIO<\/strong><\/a><\/p>\n S\u1ef1 ph\u00e1t tri\u1ec3n m\u1ea1nh m\u1ebd c\u1ee7a c\u00e1c c\u00f4ng ngh\u1ec7 tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o c\u00f3 t\u00ednh s\u00e1ng t\u1ea1o nh\u01b0 ChatGPT \u0111ang m\u1edf ra nhi\u1ec1u c\u01a1 h\u1ed9i ngh\u1ec1 nghi\u1ec7p m\u1edbi trong l\u0129nh v\u1ef1c n\u00e0y. Vai tr\u00f2 prompt engineer, ng\u01b0\u1eddi chuy\u00ean thi\u1ebft k\u1ebf v\u00e0 t\u1ed1i \u01b0u h\u00f3a \u0111\u1ea7u v\u00e0o cho c\u00e1c m\u00f4 h\u00ecnh AI \u0111ang tr\u1edf n\u00ean v\u00f4 c\u00f9ng quan tr\u1ecdng v\u00e0 \u0111\u01b0\u1ee3c \u0111\u00e1nh gi\u00e1 cao. B\u1eb1ng ch\u1ee9ng l\u00e0 Anthropic, m\u1ed9t c\u00f4ng ty nghi\u00ean c\u1ee9u AI h\u00e0ng \u0111\u1ea7u, hi\u1ec7n \u0111ang t\u00edch c\u1ef1c k\u1ef9 s\u01b0 AI tuy\u1ec3n d\u1ee5ng<\/a> v\u00e0 c\u00e1c v\u1ecb tr\u00ed kh\u00e1c li\u00ean quan \u0111\u1ebfn AI v\u1edbi m\u1ee9c l\u01b0\u01a1ng h\u1ea5p d\u1eabn.<\/p>\n Theo b\u00e1o c\u00e1o c\u1ee7a Bloomberg, m\u1ee9c l\u01b0\u01a1ng d\u00e0nh cho v\u1ecb tr\u00ed prompt engineer t\u1ea1i Anthropic dao \u0111\u1ed9ng t\u1eeb 280.000 USD \u0111\u1ebfn 375.000 USD\/n\u0103m, t\u01b0\u01a1ng \u0111\u01b0\u01a1ng kho\u1ea3ng 6,7 – 8,5 t\u1ef7 \u0111\u1ed3ng Vi\u1ec7t Nam.<\/p>\n Con s\u1ed1 n\u00e0y ph\u1ea3n \u00e1nh nhu c\u1ea7u ng\u00e0y c\u00e0ng l\u1edbn v\u1ec1 nh\u1eefng chuy\u00ean gia c\u00f3 ki\u1ebfn th\u1ee9c s\u00e2u r\u1ed9ng v\u1ec1 AI, kh\u1ea3 n\u0103ng ph\u00e2n t\u00edch v\u00e0 gi\u1ea3i quy\u1ebft v\u1ea5n \u0111\u1ec1 \u0111\u1ec3 \u0111\u1ea3m b\u1ea3o s\u1ef1 t\u01b0\u01a1ng t\u00e1c hi\u1ec7u qu\u1ea3 gi\u1eefa con ng\u01b0\u1eddi v\u00e0 c\u00e1c m\u00f4 h\u00ecnh AI ti\u00ean ti\u1ebfn nh\u1ea5t.<\/p>\n1. Prompt Engineering L\u00e0 G\u00ec?<\/strong><\/span><\/h2>\n
2. T\u1ea7m Quan Tr\u1ecdng C\u1ee7a Prompt Engineering<\/strong><\/span><\/h2>\n
2.1. N\u00e2ng Cao Ch\u1ea5t L\u01b0\u1ee3ng K\u1ebft Qu\u1ea3 T\u00ecm Ki\u1ebfm<\/strong><\/span><\/h3>\n
2.2. T\u1ed1i \u01afu Th\u1eddi Gian<\/strong><\/span><\/h3>\n
2.3. T\u0103ng Tr\u1ea3i Nghi\u1ec7m Khi S\u1eed D\u1ee5ng C\u00f4ng C\u1ee5<\/strong><\/span><\/h3>\n
3. C\u00e1ch Th\u1ee9c Ho\u1ea1t \u0110\u1ed9ng C\u1ee7a Prompt Engineering<\/strong><\/span><\/h2>\n
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4. Prompt Engineering \u1ee8ng D\u1ee5ng Nh\u01b0 Th\u1ebf N\u00e0o?<\/strong><\/span><\/h2>\n
4.1. \u0110\u01b0a Ra \u0110\u1ecbnh H\u01b0\u1edbng<\/strong><\/span><\/h3>\n
4.2. X\u00e1c \u0110\u1ecbnh \u0110\u1ecbnh D\u1ea1ng<\/strong><\/span><\/h3>\n
4.3. Cung C\u1ea5p V\u00ed D\u1ee5<\/strong><\/span><\/h3>\n
4.4. \u0110\u00e1nh Gi\u00e1 Ch\u1ea5t L\u01b0\u1ee3ng<\/strong><\/span><\/h3>\n
4.5. Ph\u00e2n Chia Lao \u0110\u1ed9ng<\/strong><\/span><\/h3>\n
5. T\u00ecm Hi\u1ec3u V\u1ec1 C\u00f4ng Vi\u1ec7c Prompt Engineer<\/strong><\/span><\/h2>\n
5.1 Prompt Engineer L\u00e0 G\u00ec?<\/strong><\/span><\/h3>\n
5.2 Prompt Engineer L\u00e0m G\u00ec?<\/strong><\/span><\/h3>\n
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5.3 L\u00e0m Sao \u0110\u1ec3 Tr\u1edf Th\u00e0nh Prompt Engineer?<\/strong><\/span><\/h3>\n
5.4 M\u1ee9c L\u01b0\u01a1ng Prompt Engineer<\/strong><\/span><\/h3>\n