![\"\"](\"https:\/\/vtiedu.click\/wp-content\/uploads\/2026\/02\/5-tieu-chi-giup-chon-duoc-giao-trinh-AI-phu-hop.jpg\")
<\/p>\nTrong b\u1ed1i c\u1ea3nh tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o (AI) \u0111ang tr\u1edf th\u00e0nh k\u1ef9 n\u0103ng quan tr\u1ecdng trong m\u1ecdi l\u0129nh v\u1ef1c, nhu c\u1ea7u t\u00ecm ki\u1ebfm gi\u00e1o tr\u00ecnh AI b\u00e0i b\u1ea3n, d\u1ec5 hi\u1ec3u v\u00e0 c\u00f3 th\u1ec3 t\u1ef1 h\u1ecdc ng\u00e0y c\u00e0ng t\u0103ng cao. Tuy nhi\u00ean, gi\u1eefa h\u00e0ng tr\u0103m t\u00e0i li\u1ec7u r\u1eddi r\u1ea1c tr\u00ean Internet, kh\u00f4ng ph\u1ea3i ai c\u0169ng bi\u1ebft \u0111\u00e2u l\u00e0 gi\u00e1o tr\u00ecnh AI c\u01a1 b\u1ea3n ph\u00f9 h\u1ee3p v\u1edbi ng\u01b0\u1eddi m\u1edbi v\u00e0 \u0111\u00e2u l\u00e0 t\u00e0i li\u1ec7u chuy\u00ean s\u00e2u \u0111\u1ec3 h\u1ecdc n\u00e2ng cao.<\/p>\n
B\u00e0i vi\u1ebft n\u00e0y s\u1ebd t\u1ed5ng h\u1ee3p tr\u1ecdn b\u1ed9 gi\u00e1o tr\u00ecnh h\u1ecdc AI t\u1eeb c\u0103n b\u1ea3n \u0111\u1ebfn n\u00e2ng cao mi\u1ec5n ph\u00ed v\u00e0 c\u00f3 PDF. \u0110\u1ed3ng th\u1eddi, ch\u00fang m\u00ecnh s\u1ebd h\u01b0\u1edbng d\u1eabn b\u1ea1n c\u00e1ch ch\u1ecdn gi\u00e1o tr\u00ecnh t\u1ef1 h\u1ecdc AI hi\u1ec7u qu\u1ea3 v\u00e0 x\u00e2y d\u1ef1ng l\u1ed9 tr\u00ecnh h\u1ecdc t\u1ed1i \u01b0u, ti\u1ebft ki\u1ec7m th\u1eddi gian.<\/p>\n
Kh\u00f4ng ph\u1ea3i gi\u00e1o tr\u00ecnh n\u00e0o c\u0169ng ph\u00f9 h\u1ee3p v\u1edbi t\u1ea5t c\u1ea3 m\u1ecdi ng\u01b0\u1eddi. D\u01b0\u1edbi \u0111\u00e2y l\u00e0 5 ti\u00eau ch\u00ed quan tr\u1ecdng gi\u00fap b\u1ea1n ch\u1ecdn \u0111\u00fang gi\u00e1o tr\u00ecnh AI c\u0103n b\u1ea3n ho\u1eb7c n\u00e2ng cao theo m\u1ee5c ti\u00eau h\u1ecdc t\u1eadp.<\/p>\n
Ng\u01b0\u1eddi m\u1edbi n\u00ean \u01b0u ti\u00ean gi\u00e1o tr\u00ecnh AI c\u01a1 b\u1ea3n, gi\u1ea3i th\u00edch r\u00f5 c\u00e1c kh\u00e1i ni\u1ec7m nh\u01b0 Machine Learning, Deep Learning, Neural Network b\u1eb1ng ng\u00f4n ng\u1eef \u0111\u01a1n gi\u1ea3n. Vi\u1ec7c ti\u1ebfp c\u1eadn t\u00e0i li\u1ec7u qu\u00e1 chuy\u00ean s\u00e2u khi ch\u01b0a c\u00f3 n\u1ec1n t\u1ea3ng d\u1ec5 d\u1eabn \u0111\u1ebfn hi\u1ec3u sai b\u1ea3n ch\u1ea5t v\u1ea5n \u0111\u1ec1, nh\u1ea5t l\u00e0 khi t\u1ef1 h\u1ecdc kh\u00f4ng c\u00f3 ng\u01b0\u1eddi gi\u1ea3i \u0111\u00e1p ho\u1eb7c m\u1ea5t \u0111\u1ed9ng l\u1ef1c h\u1ecdc.<\/p>\n
M\u1ed9t gi\u00e1o tr\u00ecnh h\u1ecdc AI t\u1ed1t c\u1ea7n c\u00f3 c\u1ea5u tr\u00fac logic, \u0111i t\u1eeb n\u1ec1n t\u1ea3ng \u0111\u1ebfn \u1ee9ng d\u1ee5ng. N\u1ed9i dung n\u00ean b\u1eaft \u0111\u1ea7u t\u1eeb kh\u00e1i ni\u1ec7m AI, sau \u0111\u00f3 \u0111\u1ebfn c\u00e1c ki\u1ebfn th\u1ee9c n\u1ec1n nh\u01b0 to\u00e1n v\u00e0 Python, ti\u1ebfp theo l\u00e0 Machine Learning, Deep Learning v\u00e0 cu\u1ed1i c\u00f9ng l\u00e0 c\u00e1c \u1ee9ng d\u1ee5ng th\u1ef1c t\u1ebf. C\u00e1ch s\u1eafp x\u1ebfp n\u00e0y gi\u00fap ng\u01b0\u1eddi h\u1ecdc h\u00ecnh dung \u0111\u01b0\u1ee3c b\u1ee9c tranh t\u1ed5ng th\u1ec3 v\u00e0 hi\u1ec3u r\u00f5 m\u1ed1i li\u00ean h\u1ec7 gi\u1eefa c\u00e1c ph\u1ea7n ki\u1ebfn th\u1ee9c.<\/p>\n
Y\u1ebfu t\u1ed1 th\u1ef1c h\u00e0nh \u0111\u00f3ng vai tr\u00f2 r\u1ea5t quan tr\u1ecdng. Gi\u00e1o tr\u00ecnh ch\u1ec9 to\u00e0n l\u00fd thuy\u1ebft h\u1ecdc thu\u1eadt s\u1ebd khi\u1ebfn ng\u01b0\u1eddi h\u1ecdc nhanh qu\u00ean, c\u1ea3m th\u1ea5y nh\u00e0m ch\u00e1n v\u00e0 kh\u00f3 \u00e1p d\u1ee5ng. V\u00ec v\u1eady, b\u1ea1n n\u00ean \u01b0u ti\u00ean gi\u00e1o tr\u00ecnh c\u00f3 v\u00ed d\u1ee5 minh h\u1ecda, b\u00e0i t\u1eadp th\u1ef1c h\u00e0nh, case study ho\u1eb7c h\u01b0\u1edbng d\u1eabn l\u00e0m project, gi\u00fap ki\u1ebfn th\u1ee9c tr\u1edf n\u00ean s\u1ed1ng \u0111\u1ed9ng v\u00e0 d\u1ec5 ghi nh\u1edb h\u01a1n.<\/p>\n
\u0110\u1ecbnh d\u1ea1ng t\u00e0i li\u1ec7u c\u0169ng l\u00e0 y\u1ebfu t\u1ed1 c\u1ea7n c\u00e2n nh\u1eafc. Nhi\u1ec1u ng\u01b0\u1eddi l\u1ef1a ch\u1ecdn gi\u00e1o tr\u00ecnh t\u1ef1 h\u1ecdc AI PDF v\u00ec d\u1ec5 l\u01b0u tr\u1eef, h\u1ecdc offline v\u00e0 thu\u1eadn ti\u1ec7n cho vi\u1ec7c ghi ch\u00fa ho\u1eb7c in ra h\u1ecdc d\u1ea7n. \u0110\u00e2y l\u00e0 l\u1ef1a ch\u1ecdn \u0111\u1eb7c bi\u1ec7t ph\u00f9 h\u1ee3p v\u1edbi ng\u01b0\u1eddi \u0111i l\u00e0m, kh\u00f4ng c\u00f3 qu\u00e1 nhi\u1ec1u th\u1eddi gian h\u1ecdc li\u00ean t\u1ee5c.<\/p>\n
Ngu\u1ed3n t\u00e0i li\u1ec7u c\u1ea7n \u0111\u1ea3m b\u1ea3o uy t\u00edn. C\u00e1c t\u00e0i li\u1ec7u v\u1ec1 AI \u0111\u01b0\u1ee3c bi\u00ean so\u1ea1n b\u1edfi tr\u01b0\u1eddng \u0111\u1ea1i h\u1ecdc, t\u1ed5 ch\u1ee9c c\u00f4ng ngh\u1ec7 l\u1edbn ho\u1eb7c chuy\u00ean gia c\u00f3 kinh nghi\u1ec7m th\u1ef1c t\u1ebf th\u01b0\u1eddng c\u00f3 n\u1ed9i dung chu\u1ea9n x\u00e1c, c\u1eadp nh\u1eadt v\u00e0 \u0111\u00e1ng tin c\u1eady h\u01a1n.<\/p>\n
<\/p>\n
Trong ph\u1ea7n n\u00e0y, VTI Academy s\u1ebd t\u1ed5ng h\u1ee3p danh s\u00e1ch gi\u00e1o tr\u00ecnh AI theo t\u1eebng c\u1ea5p \u0111\u1ed9, ph\u00f9 h\u1ee3p cho c\u1ea3 ng\u01b0\u1eddi m\u1edbi b\u1eaft \u0111\u1ea7u v\u00e0 ng\u01b0\u1eddi h\u1ecdc n\u00e2ng cao.<\/p>\n
Machine Learning\u00a0c\u1ee7a\u00a0V\u0169 H\u1eefu Ti\u1ec7p l\u00e0 m\u1ed9t trong nh\u1eefng cu\u1ed1n s\u00e1ch ti\u1ebfng Vi\u1ec7t hi\u1ebfm hoi t\u1eadp trung v\u00e0o l\u0129nh v\u1ef1c h\u1ecdc m\u00e1y (Machine Learning) t\u1eeb c\u0103n b\u1ea3n \u0111\u1ebfn \u1ee9ng d\u1ee5ng th\u1ef1c ti\u1ec5n. Cu\u1ed1n s\u00e1ch \u0111\u01b0\u1ee3c xu\u1ea5t b\u1ea3n kho\u1ea3ng n\u0103m 2020, v\u1edbi m\u1ee5c ti\u00eau cung c\u1ea5p ki\u1ebfn th\u1ee9c n\u1ec1n t\u1ea3ng v\u00e0 c\u00e1ch ti\u1ebfp c\u1eadn th\u1ef1c h\u00e0nh cho ng\u01b0\u1eddi \u0111\u1ecdc Vi\u1ec7t Nam mu\u1ed1n h\u1ecdc v\u1ec1 AI v\u00e0 h\u1ecdc m\u00e1y.<\/p>\n
T\u00e1c gi\u1ea3 V\u0169 H\u1eefu Ti\u1ec7p l\u00e0 m\u1ed9t chuy\u00ean gia trong l\u0129nh v\u1ef1c h\u1ecdc m\u00e1y v\u00e0 th\u1ecb gi\u00e1c m\u00e1y t\u00ednh, v\u1edbi kinh nghi\u1ec7m h\u1ecdc t\u1eadp v\u00e0 l\u00e0m vi\u1ec7c t\u1ea1i n\u01b0\u1edbc ngo\u00e0i. Cu\u1ed1n s\u00e1ch \u0111\u01b0\u1ee3c xem l\u00e0 n\u1ed7 l\u1ef1c \u0111\u00e1ng k\u1ec3 gi\u00fap gi\u1ea3m r\u00e0o c\u1ea3n ng\u00f4n ng\u1eef cho nh\u1eefng ai kh\u00f4ng th\u00e0nh th\u1ea1o ti\u1ebfng Anh \u2013 v\u1ed1n l\u00e0 ng\u00f4n ng\u1eef ch\u00ednh c\u1ee7a h\u1ea7u h\u1ebft t\u00e0i li\u1ec7u k\u1ef9 thu\u1eadt v\u1ec1 AI.<\/p>\n
\u0110\u1eb7c \u0111i\u1ec3m n\u1ed5i b\u1eadt<\/strong><\/p>\n H\u1ea1n ch\u1ebf<\/strong><\/p>\n \u0110\u1ed1i t\u01b0\u1ee3ng ph\u00f9 h\u1ee3p<\/strong><\/p>\n Link t\u1ea3i s\u00e1ch T\u1ea0I \u0110\u00c2Y<\/a><\/p><\/blockquote>\n Large Language Model (LLM) Cheat Sheet l\u00e0 t\u00e0i li\u1ec7u t\u1ed5ng h\u1ee3p ng\u1eafn g\u1ecdn c\u00e1c ki\u1ebfn th\u1ee9c c\u1ed1t l\u00f5i li\u00ean quan \u0111\u1ebfn m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef l\u1edbn v\u00e0 x\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean (NLP). T\u00e0i li\u1ec7u \u0111\u01b0\u1ee3c x\u00e2y d\u1ef1ng v\u1edbi m\u1ee5c ti\u00eau gi\u00fap ng\u01b0\u1eddi h\u1ecdc nhanh ch\u00f3ng n\u1eafm \u0111\u01b0\u1ee3c b\u1ee9c tranh t\u1ed5ng th\u1ec3 v\u1ec1 LLM, t\u1eeb kh\u00e1i ni\u1ec7m n\u1ec1n t\u1ea3ng, c\u00e1ch ho\u1ea1t \u0111\u1ed9ng cho \u0111\u1ebfn c\u00e1c ki\u1ebfn tr\u00fac v\u00e0 c\u00f4ng c\u1ee5 ph\u1ed5 bi\u1ebfn hi\u1ec7n nay. V\u1edbi \u0111\u1ecbnh d\u1ea1ng m\u1ed9t trang, LLM Cheat Sheet \u0111\u00f3ng vai tr\u00f2 nh\u01b0 m\u1ed9t t\u00e0i li\u1ec7u tham kh\u1ea3o nhanh, ph\u00f9 h\u1ee3p cho c\u1ea3 h\u1ecdc t\u1eadp v\u00e0 l\u00e0m vi\u1ec7c th\u1ef1c t\u1ebf.<\/p>\n \u0110\u1eb7c \u0111i\u1ec3m n\u1ed5i b\u1eadt<\/strong><\/p>\n \u0110i\u1ec3m n\u1ed5i b\u1eadt nh\u1ea5t c\u1ee7a LLM Cheat Sheet n\u1eb1m \u1edf n\u1ed9i dung c\u00f4 \u0111\u1ecdng, t\u1eadp trung \u0111\u00fang tr\u1ecdng t\u00e2m. T\u00e0i li\u1ec7u bao qu\u00e1t c\u00e1c ch\u1ee7 \u0111\u1ec1 quan tr\u1ecdng nh\u01b0 language modeling, preprocessing, tokenization, word embedding, ki\u1ebfn tr\u00fac Transformer v\u00e0 GPT, c\u00f9ng c\u00e1c b\u01b0\u1edbc hu\u1ea5n luy\u1ec7n v\u00e0 fine-tuning m\u00f4 h\u00ecnh. C\u00e1c kh\u00e1i ni\u1ec7m \u0111\u01b0\u1ee3c tr\u00ecnh b\u00e0y ng\u1eafn g\u1ecdn, r\u00f5 r\u00e0ng, gi\u00fap ng\u01b0\u1eddi \u0111\u1ecdc d\u1ec5 ghi nh\u1edb v\u00e0 tra c\u1ee9u nhanh.<\/p>\n B\u00ean c\u1ea1nh \u0111\u00f3, t\u00e0i li\u1ec7u c\u00f2n \u0111\u1ec1 c\u1eadp \u0111\u1ebfn c\u00e1c t\u00e1c v\u1ee5 NLP ph\u1ed5 bi\u1ebfn nh\u01b0 t\u1ea1o v\u0103n b\u1ea3n, d\u1ecbch m\u00e1y, ph\u00e2n t\u00edch c\u1ea3m x\u00fac v\u00e0 gi\u1edbi thi\u1ec7u nh\u1eefng c\u00f4ng c\u1ee5, th\u01b0 vi\u1ec7n quen thu\u1ed9c nh\u01b0 TensorFlow, PyTorch, Hugging Face Transformers hay GPT. Nh\u1edd v\u1eady, ng\u01b0\u1eddi h\u1ecdc kh\u00f4ng ch\u1ec9 hi\u1ec3u l\u00fd thuy\u1ebft m\u00e0 c\u00f2n h\u00ecnh dung \u0111\u01b0\u1ee3c c\u00e1ch LLM \u0111\u01b0\u1ee3c \u1ee9ng d\u1ee5ng trong th\u1ef1c t\u1ebf.<\/p>\n V\u1ec1 h\u00ecnh th\u1ee9c, LLM Cheat Sheet c\u00f3 b\u1ed1 c\u1ee5c tr\u1ef1c quan, d\u1ec5 theo d\u00f5i, ph\u00f9 h\u1ee3p \u0111\u1ec3 in ra, l\u01b0u offline ho\u1eb7c m\u1edf nhanh khi c\u1ea7n \u00f4n t\u1eadp ki\u1ebfn th\u1ee9c.<\/p>\n H\u1ea1n ch\u1ebf<\/strong><\/p>\n Do \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf d\u01b0\u1edbi d\u1ea1ng cheat sheet, t\u00e0i li\u1ec7u kh\u00f4ng \u0111i s\u00e2u v\u00e0o chi ti\u1ebft k\u1ef9 thu\u1eadt, kh\u00f4ng c\u00f3 nhi\u1ec1u v\u00ed d\u1ee5 minh h\u1ecda hay h\u01b0\u1edbng d\u1eabn tri\u1ec3n khai c\u1ee5 th\u1ec3. V\u1edbi nh\u1eefng ng\u01b0\u1eddi \u0111\u00e3 c\u00f3 n\u1ec1n t\u1ea3ng v\u1eefng ho\u1eb7c \u0111ang x\u00e2y d\u1ef1ng m\u00f4 h\u00ecnh LLM th\u1ef1c t\u1ebf, n\u1ed9i dung c\u00f3 th\u1ec3 ch\u01b0a \u0111\u1ee7 s\u00e2u \u0111\u1ec3 \u00e1p d\u1ee5ng tr\u1ef1c ti\u1ebfp. Ngo\u00e0i ra, t\u00e0i li\u1ec7u mang t\u00ednh t\u1ed5ng quan n\u00ean ch\u01b0a \u0111\u1ec1 c\u1eadp nhi\u1ec1u \u0111\u1ebfn c\u00e1c xu h\u01b0\u1edbng m\u1edbi nh\u01b0 AI Agent, multimodal LLM hay c\u00e1c v\u1ea5n \u0111\u1ec1 \u0111\u1ea1o \u0111\u1ee9c v\u00e0 ph\u00e1p l\u00fd li\u00ean quan \u0111\u1ebfn AI.<\/p>\n \u0110\u1ed1i t\u01b0\u1ee3ng ph\u00f9 h\u1ee3p<\/strong><\/p>\n LLM Cheat Sheet \u0111\u1eb7c bi\u1ec7t ph\u00f9 h\u1ee3p v\u1edbi:<\/p>\n Link t\u1ea3i s\u00e1ch T\u1ea0I \u0110\u00c2Y<\/a><\/p><\/blockquote>\n \u0110\u00e2y l\u00e0 t\u00e0i li\u1ec7u kinh \u0111i\u1ec3n \u0111\u01b0\u1ee3c ph\u00e1t tri\u1ec3n d\u1ef1a tr\u00ean kh\u00f3a h\u1ecdc Machine Learning c\u1ee7a Andrew Ng – m\u1ed9t trong nh\u1eefng gi\u00e1o s\u01b0 n\u1ed5i ti\u1ebfng nh\u1ea5t trong l\u0129nh v\u1ef1c AI. Gi\u00e1o tr\u00ecnh ph\u00f9 h\u1ee3p cho b\u1ea1n khi \u0111\u00e3 c\u00f3 n\u1ec1n t\u1ea3ng to\u00e1n v\u00e0 l\u1eadp tr\u00ecnh c\u01a1 b\u1ea3n.<\/p>\n N\u1ed9i dung c\u1ee7a s\u00e1ch \u0111i s\u00e2u v\u00e0o c\u00e1c thu\u1eadt to\u00e1n Machine Learning: Linear Regression, Logistic Regression, Neural Networks, SVM, Clustering, PCA,\u2026 v\u00e0 c\u00e1ch t\u1ed1i \u01b0u h\u00f3a ch\u00fang. C\u00e1c ch\u01b0\u01a1ng \u0111\u1ec1u gi\u1ea3i th\u00edch r\u00f5 c\u00f4ng th\u1ee9c, c\u00e1ch t\u1ed1i \u01b0u v\u00e0 l\u00fd do t\u1ea1i sao thu\u1eadt to\u00e1n ho\u1ea1t \u0111\u1ed9ng nh\u01b0 v\u1eady.<\/p>\n \u01afu \u0111i\u1ec3m l\u1edbn l\u00e0 c\u00e1ch tr\u00ecnh b\u00e0y r\u1ea5t logic, d\u1ec5 theo d\u00f5i, v\u00e0 c\u00f3 nhi\u1ec1u b\u00e0i t\u1eadp th\u1ef1c t\u1ebf \u0111\u1ec3 b\u1ea1n t\u1ef1 gi\u1ea3i. Tuy nhi\u00ean, \u0111\u00e2y kh\u00f4ng ph\u1ea3i l\u00e0 t\u00e0i li\u1ec7u ho\u00e0n to\u00e0n ph\u00f9 h\u1ee3p cho ng\u01b0\u1eddi m\u1edbi b\u1eaft \u0111\u1ea7u, v\u00ec c\u1ea7n hi\u1ec3u thu\u1eadt to\u00e1n \u1edf m\u1ee9c to\u00e1n h\u1ecdc c\u01a1 b\u1ea3n. Nh\u1eefng ng\u01b0\u1eddi mu\u1ed1n h\u1ecdc Machine Learning b\u00e0i b\u1ea3n, \u0111\u1eb7c bi\u1ec7t n\u1ebfu h\u01b0\u1edbng \u0111\u1ebfn vai tr\u00f2 ML Engineer ho\u1eb7c Data Scientist th\u00ec \u0111\u00e2y l\u00e0 cu\u1ed1n s\u00e1ch b\u1ea1n n\u00ean tham kh\u1ea3o.<\/p>\n Link t\u1ea3i s\u00e1ch T\u1ea0I \u0110\u00c2Y<\/a><\/p><\/blockquote>\n Full Stack LLM Bootcamp l\u00e0 ch\u01b0\u01a1ng tr\u00ecnh \u0111\u00e0o t\u1ea1o chuy\u00ean s\u00e2u do Full Stack Deep Learning (FSDL) t\u1ed5 ch\u1ee9c, t\u1eadp trung v\u00e0o vi\u1ec7c x\u00e2y d\u1ef1ng \u1ee9ng d\u1ee5ng th\u1ef1c t\u1ebf d\u1ef1a tr\u00ean Large Language Models (LLMs). Kh\u00e1c v\u1edbi c\u00e1c kh\u00f3a h\u1ecdc AI truy\u1ec1n th\u1ed1ng n\u1eb7ng v\u1ec1 l\u00fd thuy\u1ebft hay hu\u1ea5n luy\u1ec7n m\u00f4 h\u00ecnh t\u1eeb \u0111\u1ea7u, bootcamp n\u00e0y h\u01b0\u1edbng t\u1edbi c\u00e1ch t\u1eadn d\u1ee5ng LLM \u0111\u00e3 \u0111\u01b0\u1ee3c hu\u1ea5n luy\u1ec7n s\u1eb5n \u0111\u1ec3 nhanh ch\u00f3ng t\u1ea1o ra s\u1ea3n ph\u1ea9m c\u00f3 th\u1ec3 tri\u1ec3n khai cho ng\u01b0\u1eddi d\u00f9ng.<\/p>\n Ch\u01b0\u01a1ng tr\u00ecnh bao qu\u00e1t to\u00e0n b\u1ed9 quy tr\u00ecnh full stack c\u1ee7a m\u1ed9t \u1ee9ng d\u1ee5ng LLM, t\u1eeb prompt engineering, LLMOps, thi\u1ebft k\u1ebf UX cho giao di\u1ec7n ng\u00f4n ng\u1eef, \u0111\u1ebfn tri\u1ec3n khai v\u00e0 m\u1edf r\u1ed9ng trong m\u00f4i tr\u01b0\u1eddng production. N\u1ed9i dung \u0111\u01b0\u1ee3c x\u00e2y d\u1ef1ng d\u1ef1a tr\u00ean c\u00e1c nghi\u00ean c\u1ee9u m\u1edbi nh\u1ea5t v\u00e0 kinh nghi\u1ec7m tri\u1ec3n khai th\u1ef1c t\u1ebf t\u1eeb \u0111\u1ed9i ng\u0169 gi\u1ea3ng vi\u00ean l\u00e0 c\u00e1c ti\u1ebfn s\u0129 UC Berkeley v\u00e0 c\u1ef1u th\u00e0nh vi\u00ean OpenAI.<\/p>\n \u01afu \u0111i\u1ec3m n\u1ed5i b\u1eadt<\/strong><\/p>\n T\u00ednh th\u1ef1c ti\u1ec5n r\u1ea5t cao: Bootcamp t\u1eadp trung v\u00e0o \u201cl\u00e0m \u0111\u01b0\u1ee3c vi\u1ec7c\u201d, kh\u00f4ng sa \u0111\u00e0 v\u00e0o to\u00e1n h\u1ecdc hay hu\u1ea5n luy\u1ec7n m\u00f4 h\u00ecnh ph\u1ee9c t\u1ea1p. Ng\u01b0\u1eddi h\u1ecdc \u0111\u01b0\u1ee3c ti\u1ebfp c\u1eadn c\u00e1ch x\u00e2y d\u1ef1ng MVP LLM trong th\u1eddi gian ng\u1eafn, ph\u00f9 h\u1ee3p v\u1edbi nhu c\u1ea7u startup v\u00e0 doanh nghi\u1ec7p hi\u1ec7n nay.<\/p>\n Ti\u1ebfp c\u1eadn t\u01b0 duy full stack LLM hi\u1ec7n \u0111\u1ea1i: Kh\u00f3a h\u1ecdc kh\u00f4ng ch\u1ec9 d\u1ea1y c\u00e1ch g\u1ecdi API hay vi\u1ebft prompt, m\u00e0 c\u00f2n \u0111\u1ec1 c\u1eadp \u0111\u1ebfn c\u00e1c kh\u00eda c\u1ea1nh quan tr\u1ecdng nh\u01b0:<\/p>\n Gi\u1ea3ng vi\u00ean uy t\u00edn, n\u1ed9i dung c\u1eadp nh\u1eadt: \u0110\u1ed9i ng\u0169 gi\u1ea3ng vi\u00ean c\u00f3 n\u1ec1n t\u1ea3ng nghi\u00ean c\u1ee9u v\u1eefng ch\u1eafc v\u00e0 kinh nghi\u1ec7m tri\u1ec3n khai s\u1ea3n ph\u1ea9m AI th\u1ef1c t\u1ebf. N\u1ed9i dung ph\u1ea3n \u00e1nh \u0111\u00fang xu h\u01b0\u1edbng m\u1edbi nh\u1ea5t c\u1ee7a h\u1ec7 sinh th\u00e1i LLM, gi\u00fap ng\u01b0\u1eddi h\u1ecdc \u201cb\u1eaft nh\u1ecbp\u201d nhanh v\u1edbi ng\u00e0nh.<\/p>\n T\u00e0i li\u1ec7u mi\u1ec5n ph\u00ed, d\u1ec5 ti\u1ebfp c\u1eadn: To\u00e0n b\u1ed9 b\u00e0i gi\u1ea3ng \u0111\u01b0\u1ee3c ph\u00e1t h\u00e0nh mi\u1ec5n ph\u00ed d\u01b0\u1edbi d\u1ea1ng video v\u00e0 t\u00e0i li\u1ec7u, gi\u00fap ng\u01b0\u1eddi h\u1ecdc ch\u1ee7 \u0111\u1ed9ng v\u1ec1 th\u1eddi gian v\u00e0 t\u1ed1c \u0111\u1ed9 h\u1ecdc.<\/p>\n H\u1ea1n ch\u1ebf<\/strong><\/p>\n Kh\u00f4ng ph\u00f9 h\u1ee3p cho ng\u01b0\u1eddi ho\u00e0n to\u00e0n m\u1edbi l\u1eadp tr\u00ecnh: Bootcamp y\u00eau c\u1ea7u ng\u01b0\u1eddi h\u1ecdc c\u00f3 s\u1eb5n n\u1ec1n t\u1ea3ng Python v\u00e0 t\u01b0 duy k\u1ef9 thu\u1eadt c\u01a1 b\u1ea3n. N\u1ebfu ch\u01b0a t\u1eebng l\u1eadp tr\u00ecnh ho\u1eb7c ch\u01b0a quen v\u1edbi backend\/frontend, ng\u01b0\u1eddi h\u1ecdc c\u00f3 th\u1ec3 g\u1eb7p kh\u00f3 kh\u0103n.<\/p>\n \u00cdt \u0111i s\u00e2u v\u00e0o l\u00fd thuy\u1ebft ML c\u1ed1t l\u00f5i: Kh\u00f3a h\u1ecdc kh\u00f4ng t\u1eadp trung gi\u1ea3i th\u00edch chi ti\u1ebft c\u00e1c thu\u1eadt to\u00e1n machine learning hay ki\u1ebfn tr\u00fac m\u00f4 h\u00ecnh t\u1eeb g\u1ed1c. V\u1edbi nh\u1eefng ai mu\u1ed1n hi\u1ec3u s\u00e2u v\u1ec1 m\u1eb7t h\u1ecdc thu\u1eadt (to\u00e1n, t\u1ed1i \u01b0u, hu\u1ea5n luy\u1ec7n m\u00f4 h\u00ecnh), t\u00e0i li\u1ec7u n\u00e0y c\u00f3 th\u1ec3 ch\u01b0a \u0111\u00e1p \u1ee9ng \u0111\u1ee7.<\/p>\n Thi\u1ebfu b\u00e0i t\u1eadp h\u01b0\u1edbng d\u1eabn chi ti\u1ebft cho ng\u01b0\u1eddi t\u1ef1 h\u1ecdc: Do \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf nh\u01b0 m\u1ed9t bootcamp tr\u1ef1c ti\u1ebfp, ph\u1ea7n th\u1ef1c h\u00e0nh t\u1ef1 h\u1ecdc c\u00f3 th\u1ec3 ch\u01b0a \u0111\u1ee7 c\u1ea7m tay ch\u1ec9 vi\u1ec7c v\u1edbi nh\u1eefng ng\u01b0\u1eddi th\u00edch h\u1ecdc theo l\u1ed9 tr\u00ecnh b\u00e0i t\u1eadp c\u1ee5 th\u1ec3.<\/p>\n N\u1ed9i dung gi\u1ea3ng d\u1ea1y ch\u01b0a c\u00f3 d\u1ecbch ti\u1ebfng Vi\u1ec7t: To\u00e0n b\u1ed9 video, slide v\u00e0 t\u00e0i li\u1ec7u c\u1ee7a Full Stack LLM Bootcamp \u0111\u1ec1u s\u1eed d\u1ee5ng ti\u1ebfng Anh chuy\u00ean ng\u00e0nh. \u0110i\u1ec1u n\u00e0y c\u00f3 th\u1ec3 g\u00e2y kh\u00f3 kh\u0103n cho ng\u01b0\u1eddi h\u1ecdc ch\u01b0a quen v\u1edbi thu\u1eadt ng\u1eef AI\/ML ti\u1ebfng Anh ho\u1eb7c c\u00f3 kh\u1ea3 n\u0103ng nghe – \u0111\u1ecdc ti\u1ebfng Anh \u1edf m\u1ee9c trung b\u00ecnh.<\/p>\n \u0110\u1ed1i t\u01b0\u1ee3ng ph\u00f9 h\u1ee3p<\/strong><\/p>\n Link xem t\u00e0i li\u1ec7u\u00a0T\u1ea0I \u0110\u00c2Y<\/a><\/p><\/blockquote>\n LangChain: Chat With Your Data l\u00e0 kh\u00f3a h\u1ecdc ng\u1eafn nh\u01b0ng c\u00f4 \u0111\u1ecdng, \u0111\u01b0\u1ee3c gi\u1ea3ng d\u1ea1y tr\u1ef1c ti\u1ebfp b\u1edfi Harrison Chase \u2013 nh\u00e0 s\u00e1ng l\u1eadp v\u00e0 CEO c\u1ee7a LangChain. Kh\u00f3a h\u1ecdc t\u1eadp trung v\u00e0o c\u00e1ch x\u00e2y d\u1ef1ng c\u00e1c \u1ee9ng d\u1ee5ng LLM th\u1ef1c t\u1ebf, \u0111\u1eb7c bi\u1ec7t l\u00e0 chatbot v\u00e0 h\u1ec7 th\u1ed1ng h\u1ecfi – \u0111\u00e1p d\u1ef1a tr\u00ean d\u1eef li\u1ec7u ri\u00eang th\u00f4ng qua ki\u1ebfn tr\u00fac Retrieval Augmented Generation (RAG).<\/p>\n Thay v\u00ec \u0111i s\u00e2u v\u00e0o l\u00fd thuy\u1ebft ph\u1ee9c t\u1ea1p, kh\u00f3a h\u1ecdc h\u01b0\u1edbng ng\u01b0\u1eddi h\u1ecdc ti\u1ebfp c\u1eadn LangChain theo g\u00f3c nh\u00ecn th\u1ef1c h\u00e0nh\/\u1ee9ng d\u1ee5ng, gi\u00fap nhanh ch\u00f3ng tri\u1ec3n khai c\u00e1c s\u1ea3n ph\u1ea9m LLM c\u00f3 kh\u1ea3 n\u0103ng th\u1ef1c h\u00e0nh v\u1edbi t\u00e0i li\u1ec7u n\u1ed9i b\u1ed9, PDF, website hay c\u01a1 s\u1edf d\u1eef li\u1ec7u.<\/p>\n \u01afu \u0111i\u1ec3m n\u1ed5i b\u1eadt<\/strong><\/p>\n H\u1ecdc tr\u1ef1c ti\u1ebfp t\u1eeb ng\u01b0\u1eddi t\u1ea1o ra LangChain: Vi\u1ec7c \u0111\u01b0\u1ee3c h\u1ecdc t\u1eeb ch\u00ednh Harrison Chase mang l\u1ea1i gi\u00e1 tr\u1ecb l\u1edbn, v\u00ec n\u1ed9i dung ph\u1ea3n \u00e1nh \u0111\u00fang t\u01b0 duy thi\u1ebft k\u1ebf, tri\u1ebft l\u00fd ki\u1ebfn tr\u00fac v\u00e0 c\u00e1c best practices m\u1edbi nh\u1ea5t c\u1ee7a LangChain \u2013 \u0111i\u1ec1u m\u00e0 t\u00e0i li\u1ec7u r\u1eddi r\u1ea1c tr\u00ean internet kh\u00f3 truy\u1ec1n t\u1ea3i \u0111\u1ea7y \u0111\u1ee7.<\/p>\n T\u1eadp trung v\u00e0o RAG – \u1ee9ng d\u1ee5ng c\u1ed1t l\u00f5i c\u1ee7a LLM hi\u1ec7n nay: Kh\u00f3a h\u1ecdc \u0111i th\u1eb3ng v\u00e0o m\u1ed9t trong nh\u1eefng use case ph\u1ed5 bi\u1ebfn nh\u1ea5t c\u1ee7a LLM trong doanh nghi\u1ec7p, \u0111\u00f3 l\u00e0 truy xu\u1ea5t d\u1eef li\u1ec7u v\u00e0 t\u1ea1o c\u00e2u tr\u1ea3 l\u1eddi theo ng\u1eef c\u1ea3nh. Ng\u01b0\u1eddi h\u1ecdc hi\u1ec3u r\u00f5 c\u00e1ch k\u1ebft h\u1ee3p embeddings, vector store v\u00e0 retrieval \u0111\u1ec3 gi\u1ea3m hallucination v\u00e0 t\u0103ng \u0111\u1ed9 ch\u00ednh x\u00e1c.<\/p>\n N\u1ed9i dung ng\u1eafn g\u1ecdn, th\u1ef1c h\u00e0nh r\u00f5 r\u00e0ng: V\u1edbi th\u1eddi l\u01b0\u1ee3ng ch\u1ec9 h\u01a1n 1 gi\u1edd, m\u1ed7i b\u00e0i h\u1ecdc \u0111\u1ec1u \u0111i k\u00e8m v\u00ed d\u1ee5 code c\u1ee5 th\u1ec3, gi\u00fap ng\u01b0\u1eddi h\u1ecdc c\u00f3 th\u1ec3 \u00e1p d\u1ee5ng ngay v\u00e0o d\u1ef1 \u00e1n c\u00e1 nh\u00e2n ho\u1eb7c c\u00f4ng vi\u1ec7c th\u1ef1c t\u1ebf.<\/p>\n Gi\u1edbi thi\u1ec7u h\u1ec7 sinh th\u00e1i LangChain kh\u00e1 to\u00e0n di\u1ec7n: Kh\u00f3a h\u1ecdc gi\u00fap ng\u01b0\u1eddi h\u1ecdc l\u00e0m quen v\u1edbi c\u00e1c th\u00e0nh ph\u1ea7n quan tr\u1ecdng nh\u01b0 document loaders, document splitting, vector stores, embeddings, retrieval v\u00e0 chat memory \u2013 t\u1ea1o n\u1ec1n t\u1ea3ng v\u1eefng ch\u1eafc \u0111\u1ec3 ti\u1ebfp t\u1ee5c h\u1ecdc s\u00e2u h\u01a1n.<\/p>\n H\u1ea1n ch\u1ebf<\/strong><\/p>\n Kh\u00f4ng ph\u00f9 h\u1ee3p cho ng\u01b0\u1eddi ho\u00e0n to\u00e0n m\u1edbi l\u1eadp tr\u00ecnh: Kh\u00f3a h\u1ecdc gi\u1ea3 \u0111\u1ecbnh ng\u01b0\u1eddi h\u1ecdc \u0111\u00e3 quen v\u1edbi Python v\u00e0 c\u00f3 ki\u1ebfn th\u1ee9c c\u01a1 b\u1ea3n v\u1ec1 l\u1eadp tr\u00ecnh. Ng\u01b0\u1eddi m\u1edbi ho\u00e0n to\u00e0n c\u00f3 th\u1ec3 g\u1eb7p kh\u00f3 kh\u0103n khi theo d\u00f5i code v\u00e0 c\u00e1c kh\u00e1i ni\u1ec7m li\u00ean quan.<\/p>\n Th\u1eddi l\u01b0\u1ee3ng ng\u1eafn, ch\u01b0a \u0111i s\u00e2u v\u00e0o c\u00e1c t\u00ecnh hu\u1ed1ng ph\u1ee9c t\u1ea1p: Do gi\u1edbi h\u1ea1n th\u1eddi gian, kh\u00f3a h\u1ecdc ch\u01b0a \u0111\u1ec1 c\u1eadp nhi\u1ec1u \u0111\u1ebfn c\u00e1c v\u1ea5n \u0111\u1ec1 n\u00e2ng cao nh\u01b0 t\u1ed1i \u01b0u chi ph\u00ed, \u0111\u00e1nh gi\u00e1 ch\u1ea5t l\u01b0\u1ee3ng RAG, b\u1ea3o m\u1eadt d\u1eef li\u1ec7u hay tri\u1ec3n khai \u1edf quy m\u00f4 l\u1edbn.<\/p>\n N\u1ed9i dung gi\u1ea3ng d\u1ea1y ho\u00e0n to\u00e0n b\u1eb1ng ti\u1ebfng Anh: To\u00e0n b\u1ed9 b\u00e0i gi\u1ea3ng, slide v\u00e0 v\u00ed d\u1ee5 \u0111\u1ec1u s\u1eed d\u1ee5ng ti\u1ebfng Anh v\u00e0 thu\u1eadt ng\u1eef k\u1ef9 thu\u1eadt. \u0110i\u1ec1u n\u00e0y c\u00f3 th\u1ec3 l\u00e0 r\u00e0o c\u1ea3n v\u1edbi ng\u01b0\u1eddi h\u1ecdc ch\u01b0a quen \u0111\u1ecdc – nghe t\u00e0i li\u1ec7u AI\/ML b\u1eb1ng ti\u1ebfng Anh.<\/p>\n Ph\u1ee5 thu\u1ed9c nhi\u1ec1u v\u00e0o LangChain: Kh\u00f3a h\u1ecdc t\u1eadp trung ho\u00e0n to\u00e0n v\u00e0o LangChain, n\u00ean ch\u01b0a cung c\u1ea5p g\u00f3c nh\u00ecn so s\u00e1nh v\u1edbi c\u00e1c framework kh\u00e1c ho\u1eb7c c\u00e1ch tri\u1ec3n khai RAG thu\u1ea7n kh\u00f4ng d\u00f9ng LangChain.<\/p>\n \u0110\u1ed1i t\u01b0\u1ee3ng ph\u00f9 h\u1ee3p<\/strong><\/p>\n Link xem t\u00e0i li\u1ec7u\u00a0T\u1ea0I \u0110\u00c2Y<\/a><\/p>\n<\/blockquote>\n Generation with LLMs l\u00e0 t\u00e0i li\u1ec7u h\u01b0\u1edbng d\u1eabn ch\u00ednh th\u1ee9c c\u1ee7a Hugging Face, gi\u00fap ng\u01b0\u1eddi d\u00f9ng hi\u1ec3u v\u00e0 tri\u1ec3n khai text generation v\u1edbi c\u00e1c m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef l\u1edbn th\u00f4ng qua th\u01b0 vi\u1ec7n Transformers. T\u00e0i li\u1ec7u t\u1eadp trung v\u00e0o API generate ()\u00a0– c\u00f4ng c\u1ee5 c\u1ed1t l\u00f5i \u0111\u1ec3 sinh v\u0103n b\u1ea3n trong h\u1ea7u h\u1ebft c\u00e1c \u1ee9ng d\u1ee5ng LLM hi\u1ec7n nay nh\u01b0 chatbot, vi\u1ebft n\u1ed9i dung, t\u00f3m t\u1eaft, d\u1ecbch m\u00e1y hay code generation.<\/p>\n Kh\u00f4ng \u0111i theo d\u1ea1ng kh\u00f3a h\u1ecdc truy\u1ec1n th\u1ed1ng, t\u00e0i li\u1ec7u n\u00e0y \u0111\u00f3ng vai tr\u00f2 nh\u01b0 m\u1ed9t reference + practical guide, gi\u00fap ng\u01b0\u1eddi \u0111\u1ecdc v\u1eeba hi\u1ec3u c\u01a1 ch\u1ebf sinh v\u0103n b\u1ea3n, v\u1eeba \u00e1p d\u1ee5ng tr\u1ef1c ti\u1ebfp v\u00e0o code.<\/p>\n \u01afu \u0111i\u1ec3m<\/strong><\/p>\n T\u00e0i li\u1ec7u ch\u00ednh th\u1ed1ng, c\u1eadp nh\u1eadt li\u00ean t\u1ee5c: \u0110\u00e2y l\u00e0 documentation do ch\u00ednh Hugging Face x\u00e2y d\u1ef1ng v\u00e0 duy tr\u00ec, lu\u00f4n b\u00e1m s\u00e1t c\u00e1c phi\u00ean b\u1ea3n m\u1edbi nh\u1ea5t c\u1ee7a Transformers v\u00e0 c\u00e1c m\u00f4 h\u00ecnh LLM ph\u1ed5 bi\u1ebfn.<\/p>\n Gi\u1ea3i th\u00edch r\u00f5 c\u00e1ch LLM sinh v\u0103n b\u1ea3n trong th\u1ef1c t\u1ebf: T\u00e0i li\u1ec7u c\u00f2n gi\u1ea3i th\u00edch r\u00f5 v\u1ec1 decoding strategy l\u00e0 g\u00ec, sampling kh\u00e1c greedy \u1edf \u0111\u00e2u, khi n\u00e0o n\u00ean d\u00f9ng beam search gi\u00fap ng\u01b0\u1eddi h\u1ecdc tr\u00e1nh d\u00f9ng LLM theo c\u00e1ch m\u01a1 h\u1ed3.<\/p>\n V\u00ed d\u1ee5 code chi ti\u1ebft, c\u00f3 th\u1ec3 ch\u1ea1y ngay: C\u00e1c v\u00ed d\u1ee5 \u0111\u1ec1u d\u00f9ng Python, c\u00f3 th\u1ec3 m\u1edf tr\u1ef1c ti\u1ebfp tr\u00ean Google Colab ho\u1eb7c Studio Lab, r\u1ea5t thu\u1eadn ti\u1ec7n \u0111\u1ec3 th\u1eed nghi\u1ec7m.<\/p>\n Ch\u1ec9 ra c\u00e1c l\u1ed7i ph\u1ed5 bi\u1ebfn khi d\u00f9ng LLM: Ph\u1ea7n \u201cPitfalls\u201d l\u00e0 \u0111i\u1ec3m c\u1ed9ng l\u1edbn, gi\u00fap ng\u01b0\u1eddi d\u00f9ng tr\u00e1nh c\u00e1c l\u1ed7i r\u1ea5t hay g\u1eb7p nh\u01b0 output b\u1ecb l\u1eb7p, sinh v\u0103n b\u1ea3n qu\u00e1 ng\u1eafn, padding sai l\u00e0m k\u1ebft qu\u1ea3 b\u1ecb l\u1ed7i<\/p>\n M\u1edf r\u1ed9ng sang h\u1ec7 sinh th\u00e1i LLM production: T\u00e0i li\u1ec7u c\u00f2n d\u1eabn sang c\u00e1c c\u00f4ng c\u1ee5 production-ready nh\u01b0 Text Generation Inference, Optimum, r\u1ea5t h\u1eefu \u00edch cho ng\u01b0\u1eddi l\u00e0m s\u1ea3n ph\u1ea9m th\u1ef1c t\u1ebf.<\/p>\n H\u1ea1n ch\u1ebf<\/strong><\/p>\n Kh\u00f4ng d\u00e0nh cho ng\u01b0\u1eddi m\u1edbi h\u1ecdc AI v\u00ec s\u1ebd kh\u00e1 ng\u1ee3p ki\u1ebfn th\u1ee9c n\u1ebfu \u0111\u1ecdc t\u1eeb \u0111\u1ea7u.<\/p>\n To\u00e0n b\u1ed9 t\u00e0i li\u1ec7u, thu\u1eadt ng\u1eef v\u00e0 v\u00ed d\u1ee5 \u0111\u1ec1u d\u00f9ng ti\u1ebfng Anh chuy\u00ean ng\u00e0nh, c\u00f3 th\u1ec3 g\u00e2y kh\u00f3 kh\u0103n cho ng\u01b0\u1eddi ch\u01b0a quen \u0111\u1ecdc docs k\u1ef9 thu\u1eadt.<\/p>\n T\u00e0i li\u1ec7u thi\u00ean v\u1ec1 k\u1ef9 thu\u1eadt, \u00edt b\u00e0n v\u1ec1 s\u1ea3n ph\u1ea9m. T\u00e0i li\u1ec7u t\u1eadp trung v\u00e0o how to generate<\/em>, ch\u01b0a n\u00f3i nhi\u1ec1u \u0111\u1ebfn: UX chatbot, \u0111\u00e1nh gi\u00e1 ch\u1ea5t l\u01b0\u1ee3ng output v\u00e0 tri\u1ec3n khai end-to-end h\u1ec7 th\u1ed1ng LLM<\/p>\n \u0110\u1ed1i t\u01b0\u1ee3ng ph\u00f9 h\u1ee3p<\/strong><\/p>\n Link xem t\u00e0i li\u1ec7u\u00a0T\u1ea0I \u0110\u00c2Y<\/a><\/p><\/blockquote>\n Build Gemini l\u00e0 chu\u1ed7i t\u00e0i li\u1ec7u v\u00e0 workshop th\u1ef1c h\u00e0nh do Google cung c\u1ea5p, h\u01b0\u1edbng d\u1eabn c\u00e1ch x\u00e2y d\u1ef1ng \u1ee9ng d\u1ee5ng AI d\u1ef1a tr\u00ean m\u00f4 h\u00ecnh Gemini th\u00f4ng qua API ch\u00ednh th\u1ee9c. N\u1ed9i dung s\u00e1t th\u1ef1c t\u1ebf s\u1ea3n ph\u1ea9m, c\u1eadp nh\u1eadt nhanh theo h\u1ec7 sinh th\u00e1i Google, ph\u00f9 h\u1ee3p \u0111\u1ec3 l\u00e0m quen v\u1edbi LLM c\u1ee7a Google v\u00e0 tri\u1ec3n khai th\u1eed nghi\u1ec7m chatbot, AI assistant. Tuy nhi\u00ean, t\u00e0i li\u1ec7u ch\u1ee7 y\u1ebfu b\u1eb1ng ti\u1ebfng Anh v\u00e0 y\u00eau c\u1ea7u \u0111\u00e3 c\u00f3 n\u1ec1n t\u1ea3ng l\u1eadp tr\u00ecnh.<\/p>\n Link xem t\u00e0i li\u1ec7u\u00a0T\u1ea0I \u0110\u00c2Y<\/a><\/p>\n<\/blockquote>\n Hands-on LLM l\u00e0 t\u1eadp h\u1ee3p t\u00e0i li\u1ec7u v\u00e0 notebook tr\u00ean GitHub, h\u01b0\u1edbng d\u1eabn th\u1ef1c h\u00e0nh c\u00e1c kh\u00e1i ni\u1ec7m c\u1ed1t l\u00f5i c\u1ee7a LLM th\u00f4ng qua code v\u1edbi t\u00ednh th\u1ef1c h\u00e0nh cao, c\u00f3 th\u1ec3 clone v\u1ec1 ch\u1ea1y ngay, ph\u00f9 h\u1ee3p cho ng\u01b0\u1eddi th\u00edch \u201cv\u1eeba \u0111\u1ecdc v\u1eeba code\u201d. \u0110i\u1ec3m h\u1ea1n ch\u1ebf l\u00e0 kh\u00f4ng c\u00f3 l\u1ed9 tr\u00ecnh h\u1ecdc r\u00f5 r\u00e0ng, c\u1ea7n t\u1ef1 t\u00ecm hi\u1ec3u th\u00eam.<\/p>\n Link xem t\u00e0i li\u1ec7u\u00a0T\u1ea0I \u0110\u00c2Y<\/a><\/p>\n<\/blockquote>\n\n
\n
\n
\n
CheatSheet LLM – CheatSheet<\/h4>\n<\/li>\n<\/ul>\n
\n
\n
Machine Learning Yearning – Prof. Andrew Ng<\/h4>\n<\/li>\n<\/ul>\n
![\"\"](\"https:\/\/vtiedu.click\/wp-content\/uploads\/2026\/02\/Tu-hoc-giao-trinh-AI-co-ban-danh-cho-nguoi-moi-bat-dau.jpg\")
<\/p>\n2. Ngu\u1ed3n h\u1ecdc AI n\u00e2ng cao<\/h3>\n
\n
Full Stack LLM Bootcamp<\/h4>\n<\/li>\n<\/ul>\n
\n
\n
\n
LangChain: Chat with Your Data<\/h4>\n<\/li>\n<\/ul>\n
\n
\n
\n
Generation with LLMs<\/h4>\n<\/li>\n<\/ul>\n
\n
![\"\"](\"https:\/\/vtiedu.click\/wp-content\/uploads\/2026\/02\/Cac-nguon-tai-lieu-cho-viec-hoc-AI-nang-cao.jpg\")
<\/p>\n3. C\u00e1c ngu\u1ed3n th\u1ef1c h\u00e0nh \u1ee9ng d\u1ee5ng AI<\/h3>\n
\n
Build Gemini \u2013 Google<\/h4>\n<\/li>\n<\/ul>\n
\n
\n
Hands-on LLM \u2013 GitHub<\/h4>\n<\/li>\n<\/ul>\n
\n
![\"\"](\"https:\/\/vtiedu.click\/wp-content\/uploads\/2026\/02\/Goi-y-lo-trinh-hoc-hieu-qua-voi-bo-giao-trinh-AI.jpg\")
<\/p>\n