{"question": "C\u00e2u h\u1ecfi: VietAI c\u00f3 c\u00f3 c\u00e1c kh\u00f3a h\u1ecdc n\u00e0o?", "answer": "Tr\u1ea3 l\u1eddi: VietAI hi\u1ec7n t\u1ea1i c\u00f3 c\u00e1c kh\u00f3a h\u1ecdc sau:/n- C\u00e1c l\u1edbp c\u01a1 b\u1ea3n: Prerequisite of Machine Learning, Foundation of Machine Learning, Foundation of Deep Learning, Data Science/n- C\u00e1c l\u1edbp n\u00e2ng cao: Advanced Computer Vision, Advanced Natural Language Processing/n- C\u00e1c l\u1edbp kh\u00e1c: ChatGPT for Everyone, AI for Every One, Build Application with OpenAI API", "text": "C\u00e2u h\u1ecfi: VietAI c\u00f3 c\u00f3 c\u00e1c kh\u00f3a h\u1ecdc n\u00e0o?\nTr\u1ea3 l\u1eddi: VietAI hi\u1ec7n t\u1ea1i c\u00f3 c\u00e1c kh\u00f3a h\u1ecdc sau:/n- C\u00e1c l\u1edbp c\u01a1 b\u1ea3n: Prerequisite of Machine Learning, Foundation of Machine Learning, Foundation of Deep Learning, Data Science/n- C\u00e1c l\u1edbp n\u00e2ng cao: Advanced Computer Vision, Advanced Natural Language Processing/n- C\u00e1c l\u1edbp kh\u00e1c: ChatGPT for Everyone, AI for Every One, Build Application with OpenAI API"}
{"question": "C\u00e2u h\u1ecfi: H\u00ecnh th\u1ee9c d\u1ea1y c\u1ee7a c\u00e1c l\u1edbp t\u1ea1i VietAI l\u00e0 g\u00ec?", "answer": "Tr\u1ea3 l\u1eddi: C\u00e1c l\u1edbp t\u1ea1i VietAI \u0111\u01b0\u1ee3c t\u1ed5 ch\u1ee9c tr\u1ef1c tuy\u1ebfn (online). Tuy nhi\u00ean, tr\u01b0\u1edbc v\u00e0 sau khi k\u1ebft th\u00fac c\u00e1c kh\u00f3a \u0111\u1ec1u c\u00f3 t\u1ed5 ch\u1ee9c c\u00e1c bu\u1ed5i g\u1eb7p tr\u1ef1c ti\u1ebfp (offline) \u0111\u1ec3 giao l\u01b0u t\u1ea1i hai \u0111\u1ea7u c\u1ea7u TP.HCM v\u00e0 H\u00e0 N\u1ed9i.", "text": "C\u00e2u h\u1ecfi: H\u00ecnh th\u1ee9c d\u1ea1y c\u1ee7a c\u00e1c l\u1edbp t\u1ea1i VietAI l\u00e0 g\u00ec?\nTr\u1ea3 l\u1eddi: C\u00e1c l\u1edbp t\u1ea1i VietAI \u0111\u01b0\u1ee3c t\u1ed5 ch\u1ee9c tr\u1ef1c tuy\u1ebfn (online). Tuy nhi\u00ean, tr\u01b0\u1edbc v\u00e0 sau khi k\u1ebft th\u00fac c\u00e1c kh\u00f3a \u0111\u1ec1u c\u00f3 t\u1ed5 ch\u1ee9c c\u00e1c bu\u1ed5i g\u1eb7p tr\u1ef1c ti\u1ebfp (offline) \u0111\u1ec3 giao l\u01b0u t\u1ea1i hai \u0111\u1ea7u c\u1ea7u TP.HCM v\u00e0 H\u00e0 N\u1ed9i."}
{"question": "C\u00e2u h\u1ecfi: VietAI d\u1ea1y online hay offline", "answer": "Tr\u1ea3 l\u1eddi: C\u00e1c l\u1edbp t\u1ea1i VietAI \u0111\u01b0\u1ee3c t\u1ed5 ch\u1ee9c tr\u1ef1c tuy\u1ebfn (online) s\u1eed d\u1ee5ng ph\u1ea7n m\u1ec1m Zoom. Tuy nhi\u00ean, tr\u01b0\u1edbc v\u00e0 sau khi k\u1ebft th\u00fac c\u00e1c kh\u00f3a \u0111\u1ec1u c\u00f3 t\u1ed5 ch\u1ee9c c\u00e1c bu\u1ed5i g\u1eb7p tr\u1ef1c ti\u1ebfp (offline) \u0111\u1ec3 giao l\u01b0u t\u1ea1i hai \u0111\u1ea7u c\u1ea7u TP.HCM v\u00e0 H\u00e0 N\u1ed9i.", "text": "C\u00e2u h\u1ecfi: VietAI d\u1ea1y online hay offline\nTr\u1ea3 l\u1eddi: C\u00e1c l\u1edbp t\u1ea1i VietAI \u0111\u01b0\u1ee3c t\u1ed5 ch\u1ee9c tr\u1ef1c tuy\u1ebfn (online) s\u1eed d\u1ee5ng ph\u1ea7n m\u1ec1m Zoom. Tuy nhi\u00ean, tr\u01b0\u1edbc v\u00e0 sau khi k\u1ebft th\u00fac c\u00e1c kh\u00f3a \u0111\u1ec1u c\u00f3 t\u1ed5 ch\u1ee9c c\u00e1c bu\u1ed5i g\u1eb7p tr\u1ef1c ti\u1ebfp (offline) \u0111\u1ec3 giao l\u01b0u t\u1ea1i hai \u0111\u1ea7u c\u1ea7u TP.HCM v\u00e0 H\u00e0 N\u1ed9i."}
{"question": "C\u00e2u h\u1ecfi: \u0110i\u1ec1u ki\u1ec7n \u0111\u1ec3 h\u1ecdc l\u1edbp PreML l\u00e0 g\u00ec?", "answer": "Tr\u1ea3 l\u1eddi: B\u1ea1n kh\u00f4ng c\u1ea7n \u0111i\u1ec1u ki\u1ec7n \u0111\u1ea7u v\u00e0o, ch\u1ec9 c\u1ea7n c\u00f3 ni\u1ec1m y\u00eau th\u00edch h\u1ecdc t\u1eadp. L\u1edbp h\u1ecdc n\u00e0y s\u1ebd trang b\u1ecb cho b\u1ea1n c\u00e1c ki\u1ebfn th\u1ee9c c\u1ea7n thi\u1ebft \u0111\u1ec3 l\u00e0m n\u1ec1n t\u1ea3ng chu\u1ea9n b\u1ecb h\u1ecdc c\u00e1c l\u1edbp ti\u1ebfp theo v\u1ec1 Machine Learning.", "text": "C\u00e2u h\u1ecfi: \u0110i\u1ec1u ki\u1ec7n \u0111\u1ec3 h\u1ecdc l\u1edbp PreML l\u00e0 g\u00ec?\nTr\u1ea3 l\u1eddi: B\u1ea1n kh\u00f4ng c\u1ea7n \u0111i\u1ec1u ki\u1ec7n \u0111\u1ea7u v\u00e0o, ch\u1ec9 c\u1ea7n c\u00f3 ni\u1ec1m y\u00eau th\u00edch h\u1ecdc t\u1eadp. L\u1edbp h\u1ecdc n\u00e0y s\u1ebd trang b\u1ecb cho b\u1ea1n c\u00e1c ki\u1ebfn th\u1ee9c c\u1ea7n thi\u1ebft \u0111\u1ec3 l\u00e0m n\u1ec1n t\u1ea3ng chu\u1ea9n b\u1ecb h\u1ecdc c\u00e1c l\u1edbp ti\u1ebfp theo v\u1ec1 Machine Learning."}
{"question": "C\u00e2u h\u1ecfi: N\u1ed9i dung c\u1ee7a l\u1edbp PreML l\u00e0 g\u00ec?", "answer": "Tr\u1ea3 l\u1eddi: B\u1ea1n s\u1ebd \u0111\u01b0\u1ee3c gi\u1ea3ng d\u1ea1y c\u00e1c ki\u1ebfn th\u1ee9c c\u01a1 b\u1ea3n v\u1ec1 l\u1eadp tr\u00ecnh v\u1edbi ng\u00f4n ng\u1eef Python v\u00e0 c\u00e1c ki\u1ebfn th\u1ee9c to\u00e1n nh\u01b0 \u0111\u1ea1i s\u1ed1 tuy\u1ebfn t\u00ednh, gi\u1ea3i t\u00edch, x\u00e1c su\u1ea5t th\u1ed1ng k\u00ea. \u0110\u00e2y s\u1ebd l\u00e0 c\u00e1c ki\u1ebfn th\u1ee9c c\u1ea7n thi\u1ebft \u0111\u1ec3 l\u00e0m n\u1ec1n t\u1ea3ng chu\u1ea9n b\u1ecb h\u1ecdc c\u00e1c l\u1edbp ti\u1ebfp theo v\u1ec1 Machine Learning.", "text": "C\u00e2u h\u1ecfi: N\u1ed9i dung c\u1ee7a l\u1edbp PreML l\u00e0 g\u00ec?\nTr\u1ea3 l\u1eddi: B\u1ea1n s\u1ebd \u0111\u01b0\u1ee3c gi\u1ea3ng d\u1ea1y c\u00e1c ki\u1ebfn th\u1ee9c c\u01a1 b\u1ea3n v\u1ec1 l\u1eadp tr\u00ecnh v\u1edbi ng\u00f4n ng\u1eef Python v\u00e0 c\u00e1c ki\u1ebfn th\u1ee9c to\u00e1n nh\u01b0 \u0111\u1ea1i s\u1ed1 tuy\u1ebfn t\u00ednh, gi\u1ea3i t\u00edch, x\u00e1c su\u1ea5t th\u1ed1ng k\u00ea. \u0110\u00e2y s\u1ebd l\u00e0 c\u00e1c ki\u1ebfn th\u1ee9c c\u1ea7n thi\u1ebft \u0111\u1ec3 l\u00e0m n\u1ec1n t\u1ea3ng chu\u1ea9n b\u1ecb h\u1ecdc c\u00e1c l\u1edbp ti\u1ebfp theo v\u1ec1 Machine Learning."}
{"question": "C\u00e2u h\u1ecfi: \u0110i\u1ec1u ki\u1ec7n h\u1ecdc l\u1edbp Foundation of Machine Learning hay FoML l\u00e0 g\u00ec?", "answer": "Tr\u1ea3 l\u1eddi: B\u1ea1n c\u1ea7n c\u00f3 ki\u1ebfn th\u1ee9c l\u1eadp tr\u00ecnh c\u0103n b\u1ea3n, c\u00f3 th\u1ec3 l\u00e0 ng\u00f4n ng\u1eef Python, C++ ho\u1eb7c Java.", "text": "C\u00e2u h\u1ecfi: \u0110i\u1ec1u ki\u1ec7n h\u1ecdc l\u1edbp Foundation of Machine Learning hay FoML l\u00e0 g\u00ec?\nTr\u1ea3 l\u1eddi: B\u1ea1n c\u1ea7n c\u00f3 ki\u1ebfn th\u1ee9c l\u1eadp tr\u00ecnh c\u0103n b\u1ea3n, c\u00f3 th\u1ec3 l\u00e0 ng\u00f4n ng\u1eef Python, C++ ho\u1eb7c Java."}
{"question": "C\u00e2u h\u1ecfi: \u0110i\u1ec1u ki\u1ec7n h\u1ecdc l\u1edbp Foundation of Deep Learning hay FoDL l\u00e0 g\u00ec?", "answer": "Tr\u1ea3 l\u1eddi: B\u1ea1n c\u1ea7n c\u00f3 ki\u1ebfn th\u1ee9c l\u1eadp tr\u00ecnh c\u0103n b\u1ea3n, c\u00f3 th\u1ec3 l\u00e0 ng\u00f4n ng\u1eef Python, \u0111\u1ed3ng th\u1eddi c\u00f3 c\u00e1c ki\u1ebfn th\u1ee9c c\u01a1 b\u1ea3n v\u1ec1 Machine Learning nh\u01b0: Logistic Regression, Linear Regression, Hu\u1ea5n luy\u1ec7n m\u00f4n h\u00ecnh, \u0111\u00e1nh gi\u00e1 m\u00f4 h\u00ecnh m\u00e1y h\u1ecdc.", "text": "C\u00e2u h\u1ecfi: \u0110i\u1ec1u ki\u1ec7n h\u1ecdc l\u1edbp Foundation of Deep Learning hay FoDL l\u00e0 g\u00ec?\nTr\u1ea3 l\u1eddi: B\u1ea1n c\u1ea7n c\u00f3 ki\u1ebfn th\u1ee9c l\u1eadp tr\u00ecnh c\u0103n b\u1ea3n, c\u00f3 th\u1ec3 l\u00e0 ng\u00f4n ng\u1eef Python, \u0111\u1ed3ng th\u1eddi c\u00f3 c\u00e1c ki\u1ebfn th\u1ee9c c\u01a1 b\u1ea3n v\u1ec1 Machine Learning nh\u01b0: Logistic Regression, Linear Regression, Hu\u1ea5n luy\u1ec7n m\u00f4n h\u00ecnh, \u0111\u00e1nh gi\u00e1 m\u00f4 h\u00ecnh m\u00e1y h\u1ecdc."}
{"question": "C\u00e2u h\u1ecfi: H\u1ecdc ph\u00ed t\u1ea1i VietAI c\u00f3 m\u1eafc kh\u00f4ng?", "answer": "Tr\u1ea3 l\u1eddi: T\u00f9y theo c\u00e1c l\u1edbp c\u1ee7a VietAI m\u00e0 c\u00e1c m\u1ee9c ph\u00ed v\u1edbi m\u1ed9t s\u1ed1 l\u1edbp nh\u01b0 AI for Everyone, ChatGPT for Everyone, PreML. C\u00e1c l\u1edbp c\u01a1 b\u1ea3n ho\u1eb7c n\u00e2ng cao th\u00ec \u0111\u1ec1u c\u00f3 c\u00e1c m\u1ee9c ph\u00ed c\u1ea1nh tranh. Tuy nhi\u00ean b\u1ea1n c\u00f3 th\u1ec3 gi\u1ea3m h\u1ecdc ph\u00ed n\u1ebfu \u0111\u00f3ng s\u1edbm (early bird), ho\u1eb7c th\u1eadm ch\u00ed n\u1ebfu b\u1ea1n c\u00f3 th\u00e0nh t\u00edch h\u1ecdc t\u1eadp xu\u1ea5t s\u1eafc trong top \u0111\u1ea7u, b\u1ea1n ho\u00e0n to\u00e0n c\u00f3 th\u1ec3 nh\u1eadn \u0111\u01b0\u1ee3c h\u1ecdc b\u1ed5ng 100%.", "text": "C\u00e2u h\u1ecfi: H\u1ecdc ph\u00ed t\u1ea1i VietAI c\u00f3 m\u1eafc kh\u00f4ng?\nTr\u1ea3 l\u1eddi: T\u00f9y theo c\u00e1c l\u1edbp c\u1ee7a VietAI m\u00e0 c\u00e1c m\u1ee9c ph\u00ed v\u1edbi m\u1ed9t s\u1ed1 l\u1edbp nh\u01b0 AI for Everyone, ChatGPT for Everyone, PreML. C\u00e1c l\u1edbp c\u01a1 b\u1ea3n ho\u1eb7c n\u00e2ng cao th\u00ec \u0111\u1ec1u c\u00f3 c\u00e1c m\u1ee9c ph\u00ed c\u1ea1nh tranh. Tuy nhi\u00ean b\u1ea1n c\u00f3 th\u1ec3 gi\u1ea3m h\u1ecdc ph\u00ed n\u1ebfu \u0111\u00f3ng s\u1edbm (early bird), ho\u1eb7c th\u1eadm ch\u00ed n\u1ebfu b\u1ea1n c\u00f3 th\u00e0nh t\u00edch h\u1ecdc t\u1eadp xu\u1ea5t s\u1eafc trong top \u0111\u1ea7u, b\u1ea1n ho\u00e0n to\u00e0n c\u00f3 th\u1ec3 nh\u1eadn \u0111\u01b0\u1ee3c h\u1ecdc b\u1ed5ng 100%."}
{"question": "C\u00e2u h\u1ecfi: \u0110i\u1ec1u ki\u1ec7n h\u1ecdc l\u1edbp Advanced Natural Language Processing hay ANLP l\u00e0 g\u00ec?", "answer": "Tr\u1ea3 l\u1eddi: B\u1ea1n c\u1ea7n c\u00f3 ki\u1ebfn th\u1ee9c l\u1eadp tr\u00ecnh c\u0103n b\u1ea3n, c\u00f3 th\u1ec3 l\u00e0 ng\u00f4n ng\u1eef Python, \u0111\u1ed3ng th\u1eddi c\u00f3 c\u00e1c ki\u1ebfn th\u1ee9c c\u01a1 b\u1ea3n v\u1ec1 Machine Learning nh\u01b0: Logistic Regression, Linear Regression, Hu\u1ea5n luy\u1ec7n m\u00f4n h\u00ecnh, \u0111\u00e1nh gi\u00e1 m\u00f4 h\u00ecnh m\u00e1y h\u1ecdc. B\u00ean c\u1ea1nh \u0111\u00f3 c\u00e1c ki\u1ebfn th\u1ee9c v\u1ec1 deep learning (h\u1ecdc s\u00e2u) li\u00ean quan \u0111\u1ebfn ch\u1ee7 \u0111\u1ec1 x\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean nh\u01b0 RNN, LSTM, ho\u1eb7c c\u00e1c b\u00e0i to\u00e1n nh\u01b0 ph\u00e2n lo\u1ea1i v\u0103n b\u1ea3n, d\u1ecbch v\u0103n b\u1ea3n l\u00e0 m\u1ed9t trong nh\u1eefng l\u1ee3i th\u1ebf khi ti\u1ebfp c\u1eadn kh\u00f3a h\u1ecdc n\u00e0y.", "text": "C\u00e2u h\u1ecfi: \u0110i\u1ec1u ki\u1ec7n h\u1ecdc l\u1edbp Advanced Natural Language Processing hay ANLP l\u00e0 g\u00ec?\nTr\u1ea3 l\u1eddi: B\u1ea1n c\u1ea7n c\u00f3 ki\u1ebfn th\u1ee9c l\u1eadp tr\u00ecnh c\u0103n b\u1ea3n, c\u00f3 th\u1ec3 l\u00e0 ng\u00f4n ng\u1eef Python, \u0111\u1ed3ng th\u1eddi c\u00f3 c\u00e1c ki\u1ebfn th\u1ee9c c\u01a1 b\u1ea3n v\u1ec1 Machine Learning nh\u01b0: Logistic Regression, Linear Regression, Hu\u1ea5n luy\u1ec7n m\u00f4n h\u00ecnh, \u0111\u00e1nh gi\u00e1 m\u00f4 h\u00ecnh m\u00e1y h\u1ecdc. B\u00ean c\u1ea1nh \u0111\u00f3 c\u00e1c ki\u1ebfn th\u1ee9c v\u1ec1 deep learning (h\u1ecdc s\u00e2u) li\u00ean quan \u0111\u1ebfn ch\u1ee7 \u0111\u1ec1 x\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean nh\u01b0 RNN, LSTM, ho\u1eb7c c\u00e1c b\u00e0i to\u00e1n nh\u01b0 ph\u00e2n lo\u1ea1i v\u0103n b\u1ea3n, d\u1ecbch v\u0103n b\u1ea3n l\u00e0 m\u1ed9t trong nh\u1eefng l\u1ee3i th\u1ebf khi ti\u1ebfp c\u1eadn kh\u00f3a h\u1ecdc n\u00e0y."}
{"question": "C\u00e2u h\u1ecfi: \u0110i\u1ec1u ki\u1ec7n h\u1ecdc l\u1edbp Advanced Computer Vision hay ACV l\u00e0 g\u00ec?", "answer": "Tr\u1ea3 l\u1eddi: B\u1ea1n c\u1ea7n c\u00f3 ki\u1ebfn th\u1ee9c l\u1eadp tr\u00ecnh c\u0103n b\u1ea3n, c\u00f3 th\u1ec3 l\u00e0 ng\u00f4n ng\u1eef Python, \u0111\u1ed3ng th\u1eddi c\u00f3 c\u00e1c ki\u1ebfn th\u1ee9c c\u01a1 b\u1ea3n v\u1ec1 Machine Learning nh\u01b0: Logistic Regression, Linear Regression, Hu\u1ea5n luy\u1ec7n m\u00f4n h\u00ecnh, \u0111\u00e1nh gi\u00e1 m\u00f4 h\u00ecnh m\u00e1y h\u1ecdc. B\u00ean c\u1ea1nh \u0111\u00f3 c\u00e1c ki\u1ebfn th\u1ee9c v\u1ec1 deep learning (h\u1ecdc s\u00e2u) li\u00ean quan \u0111\u1ebfn ch\u1ee7 \u0111\u1ec1 x\u1eed l\u00fd \u1ea3nh nh\u01b0 CNN, VGG, ResNet, ho\u1eb7c c\u00e1c b\u00e0i to\u00e1n nh\u01b0 ph\u00e2n lo\u1ea1i \u1ea3nh, ph\u00e1t hi\u1ec7n \u0111\u1ed1i t\u01b0\u1ee3ng l\u00e0 m\u1ed9t trong nh\u1eefng l\u1ee3i th\u1ebf khi ti\u1ebfp c\u1eadn kh\u00f3a h\u1ecdc n\u00e0y.", "text": "C\u00e2u h\u1ecfi: \u0110i\u1ec1u ki\u1ec7n h\u1ecdc l\u1edbp Advanced Computer Vision hay ACV l\u00e0 g\u00ec?\nTr\u1ea3 l\u1eddi: B\u1ea1n c\u1ea7n c\u00f3 ki\u1ebfn th\u1ee9c l\u1eadp tr\u00ecnh c\u0103n b\u1ea3n, c\u00f3 th\u1ec3 l\u00e0 ng\u00f4n ng\u1eef Python, \u0111\u1ed3ng th\u1eddi c\u00f3 c\u00e1c ki\u1ebfn th\u1ee9c c\u01a1 b\u1ea3n v\u1ec1 Machine Learning nh\u01b0: Logistic Regression, Linear Regression, Hu\u1ea5n luy\u1ec7n m\u00f4n h\u00ecnh, \u0111\u00e1nh gi\u00e1 m\u00f4 h\u00ecnh m\u00e1y h\u1ecdc. B\u00ean c\u1ea1nh \u0111\u00f3 c\u00e1c ki\u1ebfn th\u1ee9c v\u1ec1 deep learning (h\u1ecdc s\u00e2u) li\u00ean quan \u0111\u1ebfn ch\u1ee7 \u0111\u1ec1 x\u1eed l\u00fd \u1ea3nh nh\u01b0 CNN, VGG, ResNet, ho\u1eb7c c\u00e1c b\u00e0i to\u00e1n nh\u01b0 ph\u00e2n lo\u1ea1i \u1ea3nh, ph\u00e1t hi\u1ec7n \u0111\u1ed1i t\u01b0\u1ee3ng l\u00e0 m\u1ed9t trong nh\u1eefng l\u1ee3i th\u1ebf khi ti\u1ebfp c\u1eadn kh\u00f3a h\u1ecdc n\u00e0y."}
{"question": "C\u00e2u h\u1ecfi: \u0110i\u1ec1u ki\u1ec7n h\u1ecdc l\u1edbp Data Science l\u00e0 g\u00ec?", "answer": "Tr\u1ea3 l\u1eddi: B\u1ea1n c\u1ea7n c\u00f3 ki\u1ebfn th\u1ee9c l\u1eadp tr\u00ecnh c\u0103n b\u1ea3n, c\u00f3 th\u1ec3 l\u00e0 ng\u00f4n ng\u1eef Python, C++ ho\u1eb7c Java. Ngo\u00e0i ra c\u00e1c ki\u1ebfn th\u1ee9c v\u1ec1 m\u00e1y h\u1ecdc (machine learning) l\u00e0 m\u1ed9t trong nh\u1eefng l\u1ee3i th\u1ebf khi ti\u1ebfp c\u1eadn kh\u00f3a h\u1ecdc n\u00e0y.", "text": "C\u00e2u h\u1ecfi: \u0110i\u1ec1u ki\u1ec7n h\u1ecdc l\u1edbp Data Science l\u00e0 g\u00ec?\nTr\u1ea3 l\u1eddi: B\u1ea1n c\u1ea7n c\u00f3 ki\u1ebfn th\u1ee9c l\u1eadp tr\u00ecnh c\u0103n b\u1ea3n, c\u00f3 th\u1ec3 l\u00e0 ng\u00f4n ng\u1eef Python, C++ ho\u1eb7c Java. Ngo\u00e0i ra c\u00e1c ki\u1ebfn th\u1ee9c v\u1ec1 m\u00e1y h\u1ecdc (machine learning) l\u00e0 m\u1ed9t trong nh\u1eefng l\u1ee3i th\u1ebf khi ti\u1ebfp c\u1eadn kh\u00f3a h\u1ecdc n\u00e0y."}
{"question": "C\u00e2u h\u1ecfi: VietAI l\u00e0 g\u00ec?", "answer": "Tr\u1ea3 l\u1eddi: VietAI l\u00e0 m\u1ed9t t\u1ed5 ch\u1ee9c phi l\u1ee3i nhu\u1eadn \u0111\u01b0\u1ee3c th\u00e0nh l\u1eadp v\u00e0o n\u0103m 2018 b\u1edfi hai nh\u00e0 khoa h\u1ecdc m\u00e1y t\u00ednh n\u1ed5i ti\u1ebfng l\u00e0 Thang Luong v\u00e0 Thuc Vu. M\u1ee5c ti\u00eau c\u1ee7a VietAI l\u00e0 \u0111\u00e0o t\u1ea1o, hu\u1ea5n luy\u1ec7n v\u00e0 nghi\u00ean c\u1ee9u khoa h\u1ecdc v\u1ec1 AI, ML ch\u1ea5t l\u01b0\u1ee3ng cao. M\u1ecdi th\u00f4ng tin b\u1ea1n c\u00f3 th\u1ec3 tham kh\u1ea3o tr\u00ean trang web: https://vietai.org", "text": "C\u00e2u h\u1ecfi: VietAI l\u00e0 g\u00ec?\nTr\u1ea3 l\u1eddi: VietAI l\u00e0 m\u1ed9t t\u1ed5 ch\u1ee9c phi l\u1ee3i nhu\u1eadn \u0111\u01b0\u1ee3c th\u00e0nh l\u1eadp v\u00e0o n\u0103m 2018 b\u1edfi hai nh\u00e0 khoa h\u1ecdc m\u00e1y t\u00ednh n\u1ed5i ti\u1ebfng l\u00e0 Thang Luong v\u00e0 Thuc Vu. M\u1ee5c ti\u00eau c\u1ee7a VietAI l\u00e0 \u0111\u00e0o t\u1ea1o, hu\u1ea5n luy\u1ec7n v\u00e0 nghi\u00ean c\u1ee9u khoa h\u1ecdc v\u1ec1 AI, ML ch\u1ea5t l\u01b0\u1ee3ng cao. M\u1ecdi th\u00f4ng tin b\u1ea1n c\u00f3 th\u1ec3 tham kh\u1ea3o tr\u00ean trang web: https://vietai.org"}
{"question": "C\u00e2u h\u1ecfi: Cho t\u00f4i m\u1ed9t s\u1ed1 th\u00f4ng tin v\u1ec1 VietAI?", "answer": "Tr\u1ea3 l\u1eddi: VietAI l\u00e0 m\u1ed9t t\u1ed5 ch\u1ee9c phi l\u1ee3i nhu\u1eadn \u0111\u01b0\u1ee3c th\u00e0nh l\u1eadp v\u00e0o n\u0103m 2018 b\u1edfi hai nh\u00e0 khoa h\u1ecdc m\u00e1y t\u00ednh n\u1ed5i ti\u1ebfng l\u00e0 Thang Luong v\u00e0 Thuc Vu. M\u1ee5c ti\u00eau c\u1ee7a VietAI l\u00e0 \u0111\u00e0o t\u1ea1o, hu\u1ea5n luy\u1ec7n v\u00e0 nghi\u00ean c\u1ee9u khoa h\u1ecdc v\u1ec1 AI, ML ch\u1ea5t l\u01b0\u1ee3ng cao. M\u1ecdi th\u00f4ng tin b\u1ea1n c\u00f3 th\u1ec3 tham kh\u1ea3o tr\u00ean trang web: https://vietai.org", "text": "C\u00e2u h\u1ecfi: Cho t\u00f4i m\u1ed9t s\u1ed1 th\u00f4ng tin v\u1ec1 VietAI?\nTr\u1ea3 l\u1eddi: VietAI l\u00e0 m\u1ed9t t\u1ed5 ch\u1ee9c phi l\u1ee3i nhu\u1eadn \u0111\u01b0\u1ee3c th\u00e0nh l\u1eadp v\u00e0o n\u0103m 2018 b\u1edfi hai nh\u00e0 khoa h\u1ecdc m\u00e1y t\u00ednh n\u1ed5i ti\u1ebfng l\u00e0 Thang Luong v\u00e0 Thuc Vu. M\u1ee5c ti\u00eau c\u1ee7a VietAI l\u00e0 \u0111\u00e0o t\u1ea1o, hu\u1ea5n luy\u1ec7n v\u00e0 nghi\u00ean c\u1ee9u khoa h\u1ecdc v\u1ec1 AI, ML ch\u1ea5t l\u01b0\u1ee3ng cao. M\u1ecdi th\u00f4ng tin b\u1ea1n c\u00f3 th\u1ec3 tham kh\u1ea3o tr\u00ean trang web: https://vietai.org"}
{"question": "C\u00e2u h\u1ecfi: VietAI c\u00f3 nh\u1eefng ho\u1ea1t \u0111\u1ed9ng g\u00ec?", "answer": "Tr\u1ea3 l\u1eddi: VietAI c\u00f3 ba ho\u1ea1t \u0111\u1ed9ng ch\u00ednh: gi\u1ea3ng d\u1ea1y, nghi\u00ean c\u1ee9u v\u00e0 ph\u00e1t tri\u1ec3n doanh nghi\u1ec7p startup. Gi\u1ea3ng d\u1ea1y l\u00e0 ho\u1ea1t \u0111\u1ed9ng cung c\u1ea5p c\u00e1c kh\u00f3a h\u1ecdc AI cho m\u1ed9t nh\u00f3m ng\u01b0\u1eddi \u0111\u01b0\u1ee3c ch\u1ecdn l\u1ecdc \u0111\u1ec3 tr\u1edf th\u00e0nh nh\u1eefng nh\u00e0 l\u00e3nh \u0111\u1ea1o AI t\u1ea1i Vi\u1ec7t Nam. Nghi\u00ean c\u1ee9u l\u00e0 ho\u1ea1t \u0111\u1ed9ng k\u1ebft n\u1ed1i sinh vi\u00ean v\u00e0 th\u00e0nh vi\u00ean c\u1ee7a VietAI v\u1edbi c\u00e1c nh\u00e0 chuy\u00ean m\u00f4n h\u00e0ng \u0111\u1ea7u trong l\u0129nh v\u1ef1c AI \u0111\u1ec3 th\u1ef1c hi\u1ec7n c\u00e1c d\u1ef1 \u00e1n nghi\u00ean c\u1ee9u ti\u00ean ti\u1ebfn. H\u1ee3p t\u00e1c l\u00e0 ho\u1ea1t \u0111\u1ed9ng m\u1eddi c\u00e1c \u0111\u1ed1i t\u00e1c trong gi\u00e1o d\u1ee5c v\u00e0 c\u00f4ng nghi\u1ec7p tham gia c\u00f9ng VietAI \u0111\u1ec3 nu\u00f4i d\u01b0\u1ee1ng th\u1ebf h\u1ec7 t\u00e0i n\u0103ng AI tr\u1ebb tu\u1ed5i t\u1ea1i Vi\u1ec7t Nam.", "text": "C\u00e2u h\u1ecfi: VietAI c\u00f3 nh\u1eefng ho\u1ea1t \u0111\u1ed9ng g\u00ec?\nTr\u1ea3 l\u1eddi: VietAI c\u00f3 ba ho\u1ea1t \u0111\u1ed9ng ch\u00ednh: gi\u1ea3ng d\u1ea1y, nghi\u00ean c\u1ee9u v\u00e0 ph\u00e1t tri\u1ec3n doanh nghi\u1ec7p startup. Gi\u1ea3ng d\u1ea1y l\u00e0 ho\u1ea1t \u0111\u1ed9ng cung c\u1ea5p c\u00e1c kh\u00f3a h\u1ecdc AI cho m\u1ed9t nh\u00f3m ng\u01b0\u1eddi \u0111\u01b0\u1ee3c ch\u1ecdn l\u1ecdc \u0111\u1ec3 tr\u1edf th\u00e0nh nh\u1eefng nh\u00e0 l\u00e3nh \u0111\u1ea1o AI t\u1ea1i Vi\u1ec7t Nam. Nghi\u00ean c\u1ee9u l\u00e0 ho\u1ea1t \u0111\u1ed9ng k\u1ebft n\u1ed1i sinh vi\u00ean v\u00e0 th\u00e0nh vi\u00ean c\u1ee7a VietAI v\u1edbi c\u00e1c nh\u00e0 chuy\u00ean m\u00f4n h\u00e0ng \u0111\u1ea7u trong l\u0129nh v\u1ef1c AI \u0111\u1ec3 th\u1ef1c hi\u1ec7n c\u00e1c d\u1ef1 \u00e1n nghi\u00ean c\u1ee9u ti\u00ean ti\u1ebfn. H\u1ee3p t\u00e1c l\u00e0 ho\u1ea1t \u0111\u1ed9ng m\u1eddi c\u00e1c \u0111\u1ed1i t\u00e1c trong gi\u00e1o d\u1ee5c v\u00e0 c\u00f4ng nghi\u1ec7p tham gia c\u00f9ng VietAI \u0111\u1ec3 nu\u00f4i d\u01b0\u1ee1ng th\u1ebf h\u1ec7 t\u00e0i n\u0103ng AI tr\u1ebb tu\u1ed5i t\u1ea1i Vi\u1ec7t Nam."}
{"question": "C\u00e2u h\u1ecfi: C\u1ea7n bi\u1ebft tr\u01b0\u1edbc v\u1ec1 Machine Learning kh\u00f4ng?", "answer": "Tr\u1ea3 l\u1eddi: B\u1ea1n kh\u00f4ng c\u1ea7n ki\u1ebfn th\u1ee9c v\u1ec1 Machine Learning tr\u01b0\u1edbc khi h\u1ecdc kho\u00e1 h\u1ecdc n\u00e0y. Tuy nhi\u00ean, ngay c\u1ea3 khi b\u1ea1n \u0111\u00e3 bi\u1ebft tr\u01b0\u1edbc m\u1ed9t s\u1ed1 ki\u1ebfn th\u1ee9c th\u00ec kho\u00e1 h\u1ecdc n\u00e0y hi v\u1ecdng r\u1eb1ng c\u00f3 th\u1ec3 g\u00f3p th\u00eam m\u1ed9t g\u00f3c nh\u00ecn kh\u00e1c v\u1ec1 c\u00e1c ch\u1ee7 \u0111\u1ec1 c\u1ee7a Machine Learning.", "text": "C\u00e2u h\u1ecfi: C\u1ea7n bi\u1ebft tr\u01b0\u1edbc v\u1ec1 Machine Learning kh\u00f4ng?\nTr\u1ea3 l\u1eddi: B\u1ea1n kh\u00f4ng c\u1ea7n ki\u1ebfn th\u1ee9c v\u1ec1 Machine Learning tr\u01b0\u1edbc khi h\u1ecdc kho\u00e1 h\u1ecdc n\u00e0y. Tuy nhi\u00ean, ngay c\u1ea3 khi b\u1ea1n \u0111\u00e3 bi\u1ebft tr\u01b0\u1edbc m\u1ed9t s\u1ed1 ki\u1ebfn th\u1ee9c th\u00ec kho\u00e1 h\u1ecdc n\u00e0y hi v\u1ecdng r\u1eb1ng c\u00f3 th\u1ec3 g\u00f3p th\u00eam m\u1ed9t g\u00f3c nh\u00ecn kh\u00e1c v\u1ec1 c\u00e1c ch\u1ee7 \u0111\u1ec1 c\u1ee7a Machine Learning."}
{"question": "C\u00e2u h\u1ecfi: VietAI c\u00f3 h\u1ecdc b\u1ed5ng kh\u00f4ng?", "answer": "Tr\u1ea3 l\u1eddi: \u0110\u1ec3 khuy\u1ebfn kh\u00edch s\u1ef1 tham gia h\u1ecdc t\u1eadp v\u00e0 nghi\u00ean c\u1ee9u trong L\u0129nh v\u1ef1c Tr\u00ed Tu\u1ec7 Nh\u00e2n T\u1ea1o, VietAI cung c\u1ea5p c\u00e1c h\u1ecdc b\u1ed5ng nh\u01b0 sau: H\u1ecdc b\u1ed5ng khuy\u1ebfn kh\u00edch cho Top 3 t\u1ed1t nghi\u1ec7p c\u1ea7u \u0111\u1ea7u ra. C\u01a1 h\u1ed9i h\u1ecdc b\u1ed5ng l\u00ean \u0111\u1ebfn 100% c\u00e1c kh\u00f3a h\u1ecdc VietAI. C\u00e1c su\u1ea5t h\u1ecdc b\u1ed5ng kh\u00e1c t\u1eeb c\u00e1c nh\u00e0 t\u00e0i tr\u1ee3 d\u00e0nh cho h\u1ecdc vi\u00ean t\u1ed1t nghi\u1ec7p xu\u1ea5t s\u1eafc B\u00ean c\u1ea1nh \u0111\u00f3 h\u1ecdc vi\u00ean c\u1ee7a kh\u00f3a h\u1ecdc s\u1ebd nh\u1eadn \u0111\u01b0\u1ee3c nhi\u1ec1u quy\u1ec1n l\u1ee3i h\u1ea5p d\u1eabn kh\u00e1c nh\u01b0: \u0110\u01b0\u1ee3c \u0111\u1ed9i ng\u0169 gi\u1ea3ng d\u1ea1y truy\u1ec1n \u0111\u1ea1t tr\u1ea3i nghi\u1ec7m l\u00e0m vi\u1ec7c/ kinh nghi\u1ec7m v\u1ec1 c\u00e1ch thi\u1ebft k\u1ebf CV v\u00e0 ph\u1ecfng v\u1ea5n v\u1ecb tr\u00ed AILP engineer; H\u1ed7 tr\u1ee3 \u0111\u1ecbnh h\u01b0\u1edbng trong trong su\u1ed1t qu\u00e1 tr\u00ecnh h\u1ecdc; C\u01a1 h\u1ed9i \u0111\u01b0\u1ee3c tham gia c\u00e1c bu\u1ed5i chia s\u1ebb t\u1eeb gi\u1ea3ng vi\u00ean th\u1ec9nh gi\u1ea3ng/ c\u00e1c webinar n\u1ed9i b\u1ed9 c\u1ee7a c\u1ed9ng \u0111\u1ed3ng VietAI", "text": "C\u00e2u h\u1ecfi: VietAI c\u00f3 h\u1ecdc b\u1ed5ng kh\u00f4ng?\nTr\u1ea3 l\u1eddi: \u0110\u1ec3 khuy\u1ebfn kh\u00edch s\u1ef1 tham gia h\u1ecdc t\u1eadp v\u00e0 nghi\u00ean c\u1ee9u trong L\u0129nh v\u1ef1c Tr\u00ed Tu\u1ec7 Nh\u00e2n T\u1ea1o, VietAI cung c\u1ea5p c\u00e1c h\u1ecdc b\u1ed5ng nh\u01b0 sau: H\u1ecdc b\u1ed5ng khuy\u1ebfn kh\u00edch cho Top 3 t\u1ed1t nghi\u1ec7p c\u1ea7u \u0111\u1ea7u ra. C\u01a1 h\u1ed9i h\u1ecdc b\u1ed5ng l\u00ean \u0111\u1ebfn 100% c\u00e1c kh\u00f3a h\u1ecdc VietAI. C\u00e1c su\u1ea5t h\u1ecdc b\u1ed5ng kh\u00e1c t\u1eeb c\u00e1c nh\u00e0 t\u00e0i tr\u1ee3 d\u00e0nh cho h\u1ecdc vi\u00ean t\u1ed1t nghi\u1ec7p xu\u1ea5t s\u1eafc B\u00ean c\u1ea1nh \u0111\u00f3 h\u1ecdc vi\u00ean c\u1ee7a kh\u00f3a h\u1ecdc s\u1ebd nh\u1eadn \u0111\u01b0\u1ee3c nhi\u1ec1u quy\u1ec1n l\u1ee3i h\u1ea5p d\u1eabn kh\u00e1c nh\u01b0: \u0110\u01b0\u1ee3c \u0111\u1ed9i ng\u0169 gi\u1ea3ng d\u1ea1y truy\u1ec1n \u0111\u1ea1t tr\u1ea3i nghi\u1ec7m l\u00e0m vi\u1ec7c/ kinh nghi\u1ec7m v\u1ec1 c\u00e1ch thi\u1ebft k\u1ebf CV v\u00e0 ph\u1ecfng v\u1ea5n v\u1ecb tr\u00ed AILP engineer; H\u1ed7 tr\u1ee3 \u0111\u1ecbnh h\u01b0\u1edbng trong trong su\u1ed1t qu\u00e1 tr\u00ecnh h\u1ecdc; C\u01a1 h\u1ed9i \u0111\u01b0\u1ee3c tham gia c\u00e1c bu\u1ed5i chia s\u1ebb t\u1eeb gi\u1ea3ng vi\u00ean th\u1ec9nh gi\u1ea3ng/ c\u00e1c webinar n\u1ed9i b\u1ed9 c\u1ee7a c\u1ed9ng \u0111\u1ed3ng VietAI"}
{"question": "C\u00e2u h\u1ecfi: T\u00f4i \u0111\u00f3ng ti\u1ec1n h\u1ecdc nh\u01b0 th\u1ebf n\u00e0o?", "answer": "Tr\u1ea3 l\u1eddi: Chuy\u1ec3n kho\u1ea3n v\u00e0 thanh to\u00e1n Momo. B\u1ea1n ch\u1ec9 c\u1ea7n click v\u00e0o m\u1ee5c \"\u0110\u0103ng k\u00fd ngay\" \u1edf trong trang web c\u1ee7a c\u00e1c kh\u00f3a h\u1ecdc v\u00e0 l\u00e0m theo h\u01b0\u1edbng d\u1eabn.", "text": "C\u00e2u h\u1ecfi: T\u00f4i \u0111\u00f3ng ti\u1ec1n h\u1ecdc nh\u01b0 th\u1ebf n\u00e0o?\nTr\u1ea3 l\u1eddi: Chuy\u1ec3n kho\u1ea3n v\u00e0 thanh to\u00e1n Momo. B\u1ea1n ch\u1ec9 c\u1ea7n click v\u00e0o m\u1ee5c \"\u0110\u0103ng k\u00fd ngay\" \u1edf trong trang web c\u1ee7a c\u00e1c kh\u00f3a h\u1ecdc v\u00e0 l\u00e0m theo h\u01b0\u1edbng d\u1eabn."}
{"question": "C\u00e2u h\u1ecfi: Kh\u00f3a h\u1ecdc c\u1ee7a VietAI di\u1ec5n ra trong bao l\u00e2u?", "answer": "Tr\u1ea3 l\u1eddi: T\u00f9y v\u00e0o kh\u00f3a h\u1ecdc m\u00e0 b\u1ea1n mu\u1ed1n h\u1ecdc. Tuy nhi\u00ean trung b\u00ecnh c\u00e1c kh\u00f3a h\u1ecdc c\u1ee7a VietAI k\u00e9o d\u00e0i t\u1eeb 6 - 10 tu\u1ea7n, t\u00f9y v\u00e0o \u0111\u1ed9 kh\u00f3 c\u1ee7a t\u1eebng kh\u00f3a h\u1ecdc.", "text": "C\u00e2u h\u1ecfi: Kh\u00f3a h\u1ecdc c\u1ee7a VietAI di\u1ec5n ra trong bao l\u00e2u?\nTr\u1ea3 l\u1eddi: T\u00f9y v\u00e0o kh\u00f3a h\u1ecdc m\u00e0 b\u1ea1n mu\u1ed1n h\u1ecdc. Tuy nhi\u00ean trung b\u00ecnh c\u00e1c kh\u00f3a h\u1ecdc c\u1ee7a VietAI k\u00e9o d\u00e0i t\u1eeb 6 - 10 tu\u1ea7n, t\u00f9y v\u00e0o \u0111\u1ed9 kh\u00f3 c\u1ee7a t\u1eebng kh\u00f3a h\u1ecdc."}
{"question": "C\u00e2u h\u1ecfi: VietAI c\u00f3 th\u1ec3 xu\u1ea5t h\u00f3a \u0111\u01a1n cho t\u00f4i \u0111\u01b0\u1ee3c kh\u00f4ng?", "answer": "Tr\u1ea3 l\u1eddi: C\u00f3, ch\u00fang t\u00f4i c\u00f3 th\u1ec3 xu\u1ea5t h\u00f3a \u0111\u01a1n doanh nghi\u1ec7p \u0111\u1ec3 th\u1ef1c hi\u1ec7n c\u00e1c th\u1ee7 t\u1ee5c thanh to\u00e1n cho b\u1ea1n.", "text": "C\u00e2u h\u1ecfi: VietAI c\u00f3 th\u1ec3 xu\u1ea5t h\u00f3a \u0111\u01a1n cho t\u00f4i \u0111\u01b0\u1ee3c kh\u00f4ng?\nTr\u1ea3 l\u1eddi: C\u00f3, ch\u00fang t\u00f4i c\u00f3 th\u1ec3 xu\u1ea5t h\u00f3a \u0111\u01a1n doanh nghi\u1ec7p \u0111\u1ec3 th\u1ef1c hi\u1ec7n c\u00e1c th\u1ee7 t\u1ee5c thanh to\u00e1n cho b\u1ea1n."}
{"question": "C\u00e2u h\u1ecfi: VietAI c\u00f3 ch\u1ee9ng ch\u1ec9 sau khi ho\u00e0n th\u00e0nh kh\u00f3a h\u1ecdc kh\u00f4ng?", "answer": "Tr\u1ea3 l\u1eddi: T\u00f9y v\u00e0o k\u1ebft qu\u1ea3 h\u1ecdc t\u1eadp c\u1ee7a b\u1ea1n, n\u1ebfu b\u1ea1n ho\u00e0n th\u00e0nh c\u00e1c bu\u1ed5i h\u1ecdc, l\u00e0m b\u00e0i t\u1eadp \u1edf m\u1ee9c \u0111\u1ed9 tr\u00ean trung b\u00ecnh th\u00ec s\u1ebd \u0111\u01b0\u1ee3c c\u1ea5p ch\u1ee9ng ch\u1ec9. Ch\u1ee9ng ch\u1ec9 s\u1ebd \u0111\u01b0\u1ee3c g\u1eedi qua email sau khi b\u1ea1n ho\u00e0n t\u1ea5t kho\u00e1 h\u1ecdc. B\u1ea1n c\u00f3 th\u1ec3 t\u1ea3i tr\u1ef1c ti\u1ebfp ch\u1ee9ng ch\u1ec9 t\u1eeb \u0111\u01b0\u1eddng link \u0111\u01b0\u1ee3c cung c\u1ea5p hay chia s\u1ebb ch\u1ee9ng ch\u1ec9 tr\u00ean c\u00e1c m\u1ea1ng x\u00e3 h\u1ed9i nh\u01b0 Facebook, LinkedIn, Twitter\u2026", "text": "C\u00e2u h\u1ecfi: VietAI c\u00f3 ch\u1ee9ng ch\u1ec9 sau khi ho\u00e0n th\u00e0nh kh\u00f3a h\u1ecdc kh\u00f4ng?\nTr\u1ea3 l\u1eddi: T\u00f9y v\u00e0o k\u1ebft qu\u1ea3 h\u1ecdc t\u1eadp c\u1ee7a b\u1ea1n, n\u1ebfu b\u1ea1n ho\u00e0n th\u00e0nh c\u00e1c bu\u1ed5i h\u1ecdc, l\u00e0m b\u00e0i t\u1eadp \u1edf m\u1ee9c \u0111\u1ed9 tr\u00ean trung b\u00ecnh th\u00ec s\u1ebd \u0111\u01b0\u1ee3c c\u1ea5p ch\u1ee9ng ch\u1ec9. Ch\u1ee9ng ch\u1ec9 s\u1ebd \u0111\u01b0\u1ee3c g\u1eedi qua email sau khi b\u1ea1n ho\u00e0n t\u1ea5t kho\u00e1 h\u1ecdc. B\u1ea1n c\u00f3 th\u1ec3 t\u1ea3i tr\u1ef1c ti\u1ebfp ch\u1ee9ng ch\u1ec9 t\u1eeb \u0111\u01b0\u1eddng link \u0111\u01b0\u1ee3c cung c\u1ea5p hay chia s\u1ebb ch\u1ee9ng ch\u1ec9 tr\u00ean c\u00e1c m\u1ea1ng x\u00e3 h\u1ed9i nh\u01b0 Facebook, LinkedIn, Twitter\u2026"}
{"question": "C\u00e2u h\u1ecfi: T\u00f4i c\u00f3 th\u1ec3 \u0111\u0103ng k\u00fd c\u00e1c kh\u00f3a h\u1ecdc c\u1ee7a VietAI nh\u01b0 th\u1ebf n\u00e0o?", "answer": "Tr\u1ea3 l\u1eddi: B\u1ea1n ch\u1ec9 c\u1ea7n v\u00e0o trang web c\u1ee7a kh\u00f3a h\u1ecdc b\u1ea1n mu\u1ed1n h\u1ecdc (v\u00ed d\u1ee5: ml.vietai.org) v\u00e0 ch\u1ecdn \u201c\u0110\u0103ng k\u00fd ngay\u201d. \u0110i\u1ec1n th\u00f4ng tin c\u1ea7n thi\u1ebft v\u00e0 ho\u00e0n th\u00e0nh theo c\u00e1c h\u01b0\u1edbng d\u1eabn tr\u00ean trang. Sau \u0111\u00f3 c\u00e1c b\u1ea1n c\u00f3 th\u1ec3 tham gia h\u1ecdc c\u00f9ng ch\u00fang t\u00f4i.", "text": "C\u00e2u h\u1ecfi: T\u00f4i c\u00f3 th\u1ec3 \u0111\u0103ng k\u00fd c\u00e1c kh\u00f3a h\u1ecdc c\u1ee7a VietAI nh\u01b0 th\u1ebf n\u00e0o?\nTr\u1ea3 l\u1eddi: B\u1ea1n ch\u1ec9 c\u1ea7n v\u00e0o trang web c\u1ee7a kh\u00f3a h\u1ecdc b\u1ea1n mu\u1ed1n h\u1ecdc (v\u00ed d\u1ee5: ml.vietai.org) v\u00e0 ch\u1ecdn \u201c\u0110\u0103ng k\u00fd ngay\u201d. \u0110i\u1ec1n th\u00f4ng tin c\u1ea7n thi\u1ebft v\u00e0 ho\u00e0n th\u00e0nh theo c\u00e1c h\u01b0\u1edbng d\u1eabn tr\u00ean trang. Sau \u0111\u00f3 c\u00e1c b\u1ea1n c\u00f3 th\u1ec3 tham gia h\u1ecdc c\u00f9ng ch\u00fang t\u00f4i."}
{"question": "C\u00e2u h\u1ecfi: L\u00e0m th\u1ebf n\u00e0o \u0111\u1ec3 tham gia v\u00e0 theo d\u00f5i c\u00e1c th\u00f4ng tin t\u1eeb VietAI.", "answer": "Tr\u1ea3 l\u1eddi: B\u1ea1n c\u00f3 th\u1ec3 tham gia v\u00e0o VietAI b\u1eb1ng c\u00e1ch theo d\u00f5i trang web vietai.org v\u00e0 fanpage c\u1ee7a VietAI tr\u00ean Facebook \u0111\u1ec3 c\u1eadp nh\u1eadt th\u00f4ng tin v\u1ec1 c\u00e1c kh\u00f3a h\u1ecdc, s\u1ef1 ki\u1ec7n, d\u1ef1 \u00e1n v\u00e0 tin t\u1ee9c li\u00ean quan \u0111\u1ebfn AI. B\u1ea1n c\u0169ng c\u00f3 th\u1ec3 g\u1eedi email cho VietAI qua contact@vietai.org \u0111\u1ec3 bi\u1ebft th\u00eam chi ti\u1ebft ho\u1eb7c g\u1eedi y\u00eau c\u1ea7u tham gia. B\u1ea1n s\u1ebd \u0111\u01b0\u1ee3c li\u00ean h\u1ec7 l\u1ea1i khi c\u00f3 c\u01a1 h\u1ed9i ph\u00f9 h\u1ee3p.", "text": "C\u00e2u h\u1ecfi: L\u00e0m th\u1ebf n\u00e0o \u0111\u1ec3 tham gia v\u00e0 theo d\u00f5i c\u00e1c th\u00f4ng tin t\u1eeb VietAI.\nTr\u1ea3 l\u1eddi: B\u1ea1n c\u00f3 th\u1ec3 tham gia v\u00e0o VietAI b\u1eb1ng c\u00e1ch theo d\u00f5i trang web vietai.org v\u00e0 fanpage c\u1ee7a VietAI tr\u00ean Facebook \u0111\u1ec3 c\u1eadp nh\u1eadt th\u00f4ng tin v\u1ec1 c\u00e1c kh\u00f3a h\u1ecdc, s\u1ef1 ki\u1ec7n, d\u1ef1 \u00e1n v\u00e0 tin t\u1ee9c li\u00ean quan \u0111\u1ebfn AI. B\u1ea1n c\u0169ng c\u00f3 th\u1ec3 g\u1eedi email cho VietAI qua contact@vietai.org \u0111\u1ec3 bi\u1ebft th\u00eam chi ti\u1ebft ho\u1eb7c g\u1eedi y\u00eau c\u1ea7u tham gia. B\u1ea1n s\u1ebd \u0111\u01b0\u1ee3c li\u00ean h\u1ec7 l\u1ea1i khi c\u00f3 c\u01a1 h\u1ed9i ph\u00f9 h\u1ee3p."}
{"question": "C\u00e2u h\u1ecfi: \u0110i\u1ec1u ki\u1ec7n \u0111\u1ec3 apply l\u00e0m gi\u1ea3ng vi\u00ean t\u1ea1i VietAI l\u00e0 g\u00ec?", "answer": "Tr\u1ea3 l\u1eddi: Tr\u01b0\u1edbc h\u1ebft, b\u1ea1n c\u1ea7n c\u00f3 ki\u1ebfn th\u1ee9c v\u1ec1 AI, ML v\u00e0 c\u00f3 \u0111am m\u00ea li\u00ean quan \u0111\u1ebfn vi\u1ec7c truy\u1ec1n \u0111\u1ea1t, chia s\u1ebb ki\u1ebfn th\u1ee9c cho m\u1ecdi ng\u01b0\u1eddi. \u0110\u1ec3 c\u00f3 th\u1ec3 tham gia gi\u1ea3ng d\u1ea1y t\u1ea1i VietAI, b\u1ea1n c\u1ea7n g\u1eedi email \u0111\u1ebfn contact@vietai.org \u0111\u1ec3 tr\u00ecnh b\u00e0y nguy\u1ec7n v\u1ecdng c\u1ee7a m\u00ecnh. Vui l\u00f2ng g\u1eedi k\u00e8m CV \u0111\u1ec3 ch\u00fang t\u00f4i c\u00f3 th\u1ec3 bi\u1ebft r\u00f5 h\u01a1n v\u1ec1 b\u1ea1n. Sau khi g\u1eedi xong ch\u00fang t\u00f4i s\u1ebd ph\u1ea3n h\u1ed3i l\u1ea1i b\u1ea1n v\u00e0 s\u1eafp x\u1ebfp ph\u1ecfng v\u1ea5n khi c\u00e1c ti\u00eau ch\u00ed c\u1ee7a ch\u00fang t\u00f4i ph\u00f9 h\u1ee3p v\u1edbi b\u1ea1n.", "text": "C\u00e2u h\u1ecfi: \u0110i\u1ec1u ki\u1ec7n \u0111\u1ec3 apply l\u00e0m gi\u1ea3ng vi\u00ean t\u1ea1i VietAI l\u00e0 g\u00ec?\nTr\u1ea3 l\u1eddi: Tr\u01b0\u1edbc h\u1ebft, b\u1ea1n c\u1ea7n c\u00f3 ki\u1ebfn th\u1ee9c v\u1ec1 AI, ML v\u00e0 c\u00f3 \u0111am m\u00ea li\u00ean quan \u0111\u1ebfn vi\u1ec7c truy\u1ec1n \u0111\u1ea1t, chia s\u1ebb ki\u1ebfn th\u1ee9c cho m\u1ecdi ng\u01b0\u1eddi. \u0110\u1ec3 c\u00f3 th\u1ec3 tham gia gi\u1ea3ng d\u1ea1y t\u1ea1i VietAI, b\u1ea1n c\u1ea7n g\u1eedi email \u0111\u1ebfn contact@vietai.org \u0111\u1ec3 tr\u00ecnh b\u00e0y nguy\u1ec7n v\u1ecdng c\u1ee7a m\u00ecnh. Vui l\u00f2ng g\u1eedi k\u00e8m CV \u0111\u1ec3 ch\u00fang t\u00f4i c\u00f3 th\u1ec3 bi\u1ebft r\u00f5 h\u01a1n v\u1ec1 b\u1ea1n. Sau khi g\u1eedi xong ch\u00fang t\u00f4i s\u1ebd ph\u1ea3n h\u1ed3i l\u1ea1i b\u1ea1n v\u00e0 s\u1eafp x\u1ebfp ph\u1ecfng v\u1ea5n khi c\u00e1c ti\u00eau ch\u00ed c\u1ee7a ch\u00fang t\u00f4i ph\u00f9 h\u1ee3p v\u1edbi b\u1ea1n."}
{"question": "C\u00e2u h\u1ecfi: L\u00e0m sao \u0111\u1ec3 c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c l\u00e0m gi\u1ea3ng vi\u00ean c\u1ee7a VietAI?", "answer": "Tr\u1ea3 l\u1eddi: Tr\u01b0\u1edbc h\u1ebft, b\u1ea1n c\u1ea7n c\u00f3 ki\u1ebfn th\u1ee9c v\u1ec1 AI, ML v\u00e0 c\u00f3 \u0111am m\u00ea li\u00ean quan \u0111\u1ebfn vi\u1ec7c truy\u1ec1n \u0111\u1ea1t, chia s\u1ebb ki\u1ebfn th\u1ee9c cho m\u1ecdi ng\u01b0\u1eddi. \u0110\u1ec3 c\u00f3 th\u1ec3 tham gia gi\u1ea3ng d\u1ea1y t\u1ea1i VietAI, b\u1ea1n c\u1ea7n g\u1eedi email \u0111\u1ebfn contact@vietai.org \u0111\u1ec3 tr\u00ecnh b\u00e0y nguy\u1ec7n v\u1ecdng c\u1ee7a m\u00ecnh. Vui l\u00f2ng g\u1eedi k\u00e8m CV \u0111\u1ec3 ch\u00fang t\u00f4i c\u00f3 th\u1ec3 bi\u1ebft r\u00f5 h\u01a1n v\u1ec1 b\u1ea1n. Sau khi g\u1eedi xong ch\u00fang t\u00f4i s\u1ebd ph\u1ea3n h\u1ed3i l\u1ea1i b\u1ea1n v\u00e0 s\u1eafp x\u1ebfp ph\u1ecfng v\u1ea5n khi c\u00e1c ti\u00eau ch\u00ed c\u1ee7a ch\u00fang t\u00f4i ph\u00f9 h\u1ee3p v\u1edbi b\u1ea1n.", "text": "C\u00e2u h\u1ecfi: L\u00e0m sao \u0111\u1ec3 c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c l\u00e0m gi\u1ea3ng vi\u00ean c\u1ee7a VietAI?\nTr\u1ea3 l\u1eddi: Tr\u01b0\u1edbc h\u1ebft, b\u1ea1n c\u1ea7n c\u00f3 ki\u1ebfn th\u1ee9c v\u1ec1 AI, ML v\u00e0 c\u00f3 \u0111am m\u00ea li\u00ean quan \u0111\u1ebfn vi\u1ec7c truy\u1ec1n \u0111\u1ea1t, chia s\u1ebb ki\u1ebfn th\u1ee9c cho m\u1ecdi ng\u01b0\u1eddi. \u0110\u1ec3 c\u00f3 th\u1ec3 tham gia gi\u1ea3ng d\u1ea1y t\u1ea1i VietAI, b\u1ea1n c\u1ea7n g\u1eedi email \u0111\u1ebfn contact@vietai.org \u0111\u1ec3 tr\u00ecnh b\u00e0y nguy\u1ec7n v\u1ecdng c\u1ee7a m\u00ecnh. Vui l\u00f2ng g\u1eedi k\u00e8m CV \u0111\u1ec3 ch\u00fang t\u00f4i c\u00f3 th\u1ec3 bi\u1ebft r\u00f5 h\u01a1n v\u1ec1 b\u1ea1n. Sau khi g\u1eedi xong ch\u00fang t\u00f4i s\u1ebd ph\u1ea3n h\u1ed3i l\u1ea1i b\u1ea1n v\u00e0 s\u1eafp x\u1ebfp ph\u1ecfng v\u1ea5n khi c\u00e1c ti\u00eau ch\u00ed c\u1ee7a ch\u00fang t\u00f4i ph\u00f9 h\u1ee3p v\u1edbi b\u1ea1n."}
{"question": "C\u00e2u h\u1ecfi: H\u1ecdc xong kh\u00f3a h\u1ecdc c\u1ee7a VietAI t\u00f4i c\u00f3 th\u1ec3 l\u00e0m \u0111\u01b0\u1ee3c g\u00ec?", "answer": "Tr\u1ea3 l\u1eddi: T\u00f9y v\u00e0o m\u1ee9c \u0111\u1ed9 b\u1ea1n ti\u1ebfp nh\u1eadn ki\u1ebfn th\u1ee9c sau khi ho\u00e0n th\u00e0nh kh\u00f3a h\u1ecdc c\u0169ng nh\u01b0 kh\u00f3a h\u1ecdc m\u00e0 b\u1ea1n tham gia. Sau khi ho\u00e0n th\u00e0nh c\u00e1c kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n nh\u01b0 Foundation of Machine Learning, Foundation of Deep Learning, Advanced Computer Vision, Advanced Natural Language Processing, b\u1ea1n c\u00f3 th\u1ec3 tham gia v\u00e0o c\u00e1c d\u1ef1 \u00e1n c\u1ea7n \u0111\u1ebfn c\u00e1c ki\u1ebfn th\u1ee9c machine learning c\u01a1 b\u1ea3n nh\u01b0: ai engineer, ml engineer ho\u1eb7c nghi\u00ean c\u1ee9u t\u1ea1i c\u00e1c b\u1ed9 ph\u1eadn R&D c\u1ee7a c\u00e1c c\u00f4ng ty c\u00f3 m\u1ea3ng nghi\u00ean c\u1ee9u v\u1ec1 AI.", "text": "C\u00e2u h\u1ecfi: H\u1ecdc xong kh\u00f3a h\u1ecdc c\u1ee7a VietAI t\u00f4i c\u00f3 th\u1ec3 l\u00e0m \u0111\u01b0\u1ee3c g\u00ec?\nTr\u1ea3 l\u1eddi: T\u00f9y v\u00e0o m\u1ee9c \u0111\u1ed9 b\u1ea1n ti\u1ebfp nh\u1eadn ki\u1ebfn th\u1ee9c sau khi ho\u00e0n th\u00e0nh kh\u00f3a h\u1ecdc c\u0169ng nh\u01b0 kh\u00f3a h\u1ecdc m\u00e0 b\u1ea1n tham gia. Sau khi ho\u00e0n th\u00e0nh c\u00e1c kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n nh\u01b0 Foundation of Machine Learning, Foundation of Deep Learning, Advanced Computer Vision, Advanced Natural Language Processing, b\u1ea1n c\u00f3 th\u1ec3 tham gia v\u00e0o c\u00e1c d\u1ef1 \u00e1n c\u1ea7n \u0111\u1ebfn c\u00e1c ki\u1ebfn th\u1ee9c machine learning c\u01a1 b\u1ea3n nh\u01b0: ai engineer, ml engineer ho\u1eb7c nghi\u00ean c\u1ee9u t\u1ea1i c\u00e1c b\u1ed9 ph\u1eadn R&D c\u1ee7a c\u00e1c c\u00f4ng ty c\u00f3 m\u1ea3ng nghi\u00ean c\u1ee9u v\u1ec1 AI."}
{"question": "C\u00e2u h\u1ecfi: VietAI hi\u1ec7n c\u00f3 nh\u1eefng kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n n\u00e0o?", "answer": "Tr\u1ea3 l\u1eddi: VietAI hi\u1ec7n c\u00f3 c\u00e1c kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n nh\u01b0 Prerequisite of Machine Learning, Foundation of Machine Learning, Foundation of Deep Learning v\u00e0 Data Science.", "text": "C\u00e2u h\u1ecfi: VietAI hi\u1ec7n c\u00f3 nh\u1eefng kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n n\u00e0o?\nTr\u1ea3 l\u1eddi: VietAI hi\u1ec7n c\u00f3 c\u00e1c kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n nh\u01b0 Prerequisite of Machine Learning, Foundation of Machine Learning, Foundation of Deep Learning v\u00e0 Data Science."}
{"question": "C\u00e2u h\u1ecfi: VietAI c\u00f3 nh\u1eefng kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n n\u00e0o?", "answer": "Tr\u1ea3 l\u1eddi: VietAI c\u00f3 c\u00e1c kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n nh\u01b0 Prerequisite of Machine Learning, Foundation of Machine Learning, Foundation of Deep Learning, Data Science.", "text": "C\u00e2u h\u1ecfi: VietAI c\u00f3 nh\u1eefng kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n n\u00e0o?\nTr\u1ea3 l\u1eddi: VietAI c\u00f3 c\u00e1c kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n nh\u01b0 Prerequisite of Machine Learning, Foundation of Machine Learning, Foundation of Deep Learning, Data Science."}
{"question": "C\u00e2u h\u1ecfi: VietAI hi\u1ec7n t\u1ea1i c\u00f3 nh\u1eefng kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n n\u00e0o?", "answer": "Tr\u1ea3 l\u1eddi: C\u00e1c kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n t\u1ea1i VietAI bao g\u1ed3m Prerequisite of Machine Learning, Foundation of Machine Learning, Foundation of Deep Learning v\u00e0 Data Science.", "text": "C\u00e2u h\u1ecfi: VietAI hi\u1ec7n t\u1ea1i c\u00f3 nh\u1eefng kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n n\u00e0o?\nTr\u1ea3 l\u1eddi: C\u00e1c kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n t\u1ea1i VietAI bao g\u1ed3m Prerequisite of Machine Learning, Foundation of Machine Learning, Foundation of Deep Learning v\u00e0 Data Science."}
{"question": "C\u00e2u h\u1ecfi: VietAI hi\u1ec7n t\u1ea1i c\u00f3 nh\u1eefng kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n n\u00e0o?", "answer": "Tr\u1ea3 l\u1eddi: VietAI hi\u1ec7n t\u1ea1i c\u00f3 c\u00e1c kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n nh\u01b0 Prerequisite of Machine Learning, Foundation of Machine Learning, Foundation of Deep Learning, Data Science.", "text": "C\u00e2u h\u1ecfi: VietAI hi\u1ec7n t\u1ea1i c\u00f3 nh\u1eefng kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n n\u00e0o?\nTr\u1ea3 l\u1eddi: VietAI hi\u1ec7n t\u1ea1i c\u00f3 c\u00e1c kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n nh\u01b0 Prerequisite of Machine Learning, Foundation of Machine Learning, Foundation of Deep Learning, Data Science."}
{"question": "C\u00e2u h\u1ecfi: VietAI c\u00f3 nh\u1eefng kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n n\u00e0o?", "answer": "Tr\u1ea3 l\u1eddi: VietAI c\u00f3 c\u00e1c kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n g\u1ed3m Prerequisite of Machine Learning, Foundation of Machine Learning, Foundation of Deep Learning, Data Science.", "text": "C\u00e2u h\u1ecfi: VietAI c\u00f3 nh\u1eefng kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n n\u00e0o?\nTr\u1ea3 l\u1eddi: VietAI c\u00f3 c\u00e1c kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n g\u1ed3m Prerequisite of Machine Learning, Foundation of Machine Learning, Foundation of Deep Learning, Data Science."}
{"question": "C\u00e2u h\u1ecfi: H\u00ecnh th\u1ee9c giao l\u01b0u c\u1ee7a c\u00e1c l\u1edbp t\u1ea1i VietAI \u0111\u01b0\u1ee3c t\u1ed5 ch\u1ee9c nh\u01b0 th\u1ebf n\u00e0o?", "answer": "Tr\u1ea3 l\u1eddi: C\u00e1c l\u1edbp t\u1ea1i VietAI \u0111\u01b0\u1ee3c t\u1ed5 ch\u1ee9c tr\u1ef1c tuy\u1ebfn (online), tuy nhi\u00ean, tr\u01b0\u1edbc v\u00e0 sau khi k\u1ebft th\u00fac c\u00e1c kh\u00f3a \u0111\u1ec1u c\u00f3 t\u1ed5 ch\u1ee9c c\u00e1c bu\u1ed5i g\u1eb7p tr\u1ef1c ti\u1ebfp (offline) t\u1ea1i hai \u0111\u1ea7u c\u1ea7u TP.HCM v\u00e0 H\u00e0 N\u1ed9i \u0111\u1ec3 giao l\u01b0u.", "text": "C\u00e2u h\u1ecfi: H\u00ecnh th\u1ee9c giao l\u01b0u c\u1ee7a c\u00e1c l\u1edbp t\u1ea1i VietAI \u0111\u01b0\u1ee3c t\u1ed5 ch\u1ee9c nh\u01b0 th\u1ebf n\u00e0o?\nTr\u1ea3 l\u1eddi: C\u00e1c l\u1edbp t\u1ea1i VietAI \u0111\u01b0\u1ee3c t\u1ed5 ch\u1ee9c tr\u1ef1c tuy\u1ebfn (online), tuy nhi\u00ean, tr\u01b0\u1edbc v\u00e0 sau khi k\u1ebft th\u00fac c\u00e1c kh\u00f3a \u0111\u1ec1u c\u00f3 t\u1ed5 ch\u1ee9c c\u00e1c bu\u1ed5i g\u1eb7p tr\u1ef1c ti\u1ebfp (offline) t\u1ea1i hai \u0111\u1ea7u c\u1ea7u TP.HCM v\u00e0 H\u00e0 N\u1ed9i \u0111\u1ec3 giao l\u01b0u."}
{"question": "C\u00e2u h\u1ecfi: H\u00ecnh th\u1ee9c d\u1ea1y c\u1ee7a c\u00e1c l\u1edbp t\u1ea1i VietAI bao g\u1ed3m nh\u1eefng ph\u1ea7n n\u00e0o?", "answer": "Tr\u1ea3 l\u1eddi: H\u00ecnh th\u1ee9c d\u1ea1y c\u1ee7a c\u00e1c l\u1edbp t\u1ea1i VietAI bao g\u1ed3m c\u00e1c bu\u1ed5i h\u1ecdc tr\u1ef1c tuy\u1ebfn (online) v\u00e0 c\u00e1c bu\u1ed5i g\u1eb7p tr\u1ef1c ti\u1ebfp (offline) t\u1ea1i TP.HCM v\u00e0 H\u00e0 N\u1ed9i.", "text": "C\u00e2u h\u1ecfi: H\u00ecnh th\u1ee9c d\u1ea1y c\u1ee7a c\u00e1c l\u1edbp t\u1ea1i VietAI bao g\u1ed3m nh\u1eefng ph\u1ea7n n\u00e0o?\nTr\u1ea3 l\u1eddi: H\u00ecnh th\u1ee9c d\u1ea1y c\u1ee7a c\u00e1c l\u1edbp t\u1ea1i VietAI bao g\u1ed3m c\u00e1c bu\u1ed5i h\u1ecdc tr\u1ef1c tuy\u1ebfn (online) v\u00e0 c\u00e1c bu\u1ed5i g\u1eb7p tr\u1ef1c ti\u1ebfp (offline) t\u1ea1i TP.HCM v\u00e0 H\u00e0 N\u1ed9i."}
{"question": "C\u00e2u h\u1ecfi: C\u00e1c l\u1edbp t\u1ea1i VietAI \u0111\u01b0\u1ee3c t\u1ed5 ch\u1ee9c nh\u01b0 th\u1ebf n\u00e0o?", "answer": "Tr\u1ea3 l\u1eddi: C\u00e1c l\u1edbp t\u1ea1i VietAI \u0111\u01b0\u1ee3c t\u1ed5 ch\u1ee9c tr\u1ef1c tuy\u1ebfn (online) v\u00e0 sau \u0111\u00f3 c\u00f3 t\u1ed5 ch\u1ee9c c\u00e1c bu\u1ed5i g\u1eb7p tr\u1ef1c ti\u1ebfp (offline) t\u1ea1i hai \u0111\u1ea7u c\u1ea7u TP.HCM v\u00e0 H\u00e0 N\u1ed9i.", "text": "C\u00e2u h\u1ecfi: C\u00e1c l\u1edbp t\u1ea1i VietAI \u0111\u01b0\u1ee3c t\u1ed5 ch\u1ee9c nh\u01b0 th\u1ebf n\u00e0o?\nTr\u1ea3 l\u1eddi: C\u00e1c l\u1edbp t\u1ea1i VietAI \u0111\u01b0\u1ee3c t\u1ed5 ch\u1ee9c tr\u1ef1c tuy\u1ebfn (online) v\u00e0 sau \u0111\u00f3 c\u00f3 t\u1ed5 ch\u1ee9c c\u00e1c bu\u1ed5i g\u1eb7p tr\u1ef1c ti\u1ebfp (offline) t\u1ea1i hai \u0111\u1ea7u c\u1ea7u TP.HCM v\u00e0 H\u00e0 N\u1ed9i."}
{"question": "C\u00e2u h\u1ecfi: H\u00ecnh th\u1ee9c giao l\u01b0u c\u1ee7a c\u00e1c h\u1ecdc vi\u00ean t\u1ea1i VietAI di\u1ec5n ra nh\u01b0 th\u1ebf n\u00e0o?", "answer": "Tr\u1ea3 l\u1eddi: C\u00e1c h\u1ecdc vi\u00ean t\u1ea1i VietAI c\u00f3 th\u1ec3 g\u1eb7p g\u1ee1 v\u00e0 giao l\u01b0u v\u1edbi nhau th\u00f4ng qua c\u00e1c bu\u1ed5i g\u1eb7p tr\u1ef1c ti\u1ebfp t\u1ea1i TP.HCM v\u00e0 H\u00e0 N\u1ed9i.", "text": "C\u00e2u h\u1ecfi: H\u00ecnh th\u1ee9c giao l\u01b0u c\u1ee7a c\u00e1c h\u1ecdc vi\u00ean t\u1ea1i VietAI di\u1ec5n ra nh\u01b0 th\u1ebf n\u00e0o?\nTr\u1ea3 l\u1eddi: C\u00e1c h\u1ecdc vi\u00ean t\u1ea1i VietAI c\u00f3 th\u1ec3 g\u1eb7p g\u1ee1 v\u00e0 giao l\u01b0u v\u1edbi nhau th\u00f4ng qua c\u00e1c bu\u1ed5i g\u1eb7p tr\u1ef1c ti\u1ebfp t\u1ea1i TP.HCM v\u00e0 H\u00e0 N\u1ed9i."}
{"question": "C\u00e2u h\u1ecfi: H\u00ecnh th\u1ee9c d\u1ea1y c\u1ee7a c\u00e1c l\u1edbp t\u1ea1i VietAI \u0111\u01b0\u1ee3c t\u1ed5 ch\u1ee9c nh\u01b0 th\u1ebf n\u00e0o?", "answer": "Tr\u1ea3 l\u1eddi: C\u00e1c l\u1edbp t\u1ea1i VietAI \u0111\u01b0\u1ee3c t\u1ed5 ch\u1ee9c tr\u1ef1c tuy\u1ebfn (online) v\u00e0 c\u00f3 t\u1ed5 ch\u1ee9c c\u00e1c bu\u1ed5i g\u1eb7p tr\u1ef1c ti\u1ebfp (offline) tr\u01b0\u1edbc v\u00e0 sau khi k\u1ebft th\u00fac kh\u00f3a h\u1ecdc \u0111\u1ec3 giao l\u01b0u t\u1ea1i hai \u0111\u1ea7u c\u1ea7u TP.HCM v\u00e0 H\u00e0 N\u1ed9i.", "text": "C\u00e2u h\u1ecfi: H\u00ecnh th\u1ee9c d\u1ea1y c\u1ee7a c\u00e1c l\u1edbp t\u1ea1i VietAI \u0111\u01b0\u1ee3c t\u1ed5 ch\u1ee9c nh\u01b0 th\u1ebf n\u00e0o?\nTr\u1ea3 l\u1eddi: C\u00e1c l\u1edbp t\u1ea1i VietAI \u0111\u01b0\u1ee3c t\u1ed5 ch\u1ee9c tr\u1ef1c tuy\u1ebfn (online) v\u00e0 c\u00f3 t\u1ed5 ch\u1ee9c c\u00e1c bu\u1ed5i g\u1eb7p tr\u1ef1c ti\u1ebfp (offline) tr\u01b0\u1edbc v\u00e0 sau khi k\u1ebft th\u00fac kh\u00f3a h\u1ecdc \u0111\u1ec3 giao l\u01b0u t\u1ea1i hai \u0111\u1ea7u c\u1ea7u TP.HCM v\u00e0 H\u00e0 N\u1ed9i."}
{"question": "C\u00e2u h\u1ecfi: VietAI t\u1ed5 ch\u1ee9c c\u00e1c kh\u00f3a h\u1ecdc online hay offline?", "answer": "Tr\u1ea3 l\u1eddi: C\u00e1c l\u1edbp t\u1ea1i VietAI \u0111\u01b0\u1ee3c t\u1ed5 ch\u1ee9c tr\u1ef1c tuy\u1ebfn (online) s\u1eed d\u1ee5ng ph\u1ea7n m\u1ec1m Zoom. Tuy nhi\u00ean, tr\u01b0\u1edbc v\u00e0 sau khi k\u1ebft th\u00fac c\u00e1c kh\u00f3a \u0111\u1ec1u c\u00f3 t\u1ed5 ch\u1ee9c c\u00e1c bu\u1ed5i g\u1eb7p tr\u1ef1c ti\u1ebfp (offline) \u0111\u1ec3 giao l\u01b0u t\u1ea1i hai \u0111\u1ea7u c\u1ea7u TP.HCM v\u00e0 H\u00e0 N\u1ed9i.", "text": "C\u00e2u h\u1ecfi: VietAI t\u1ed5 ch\u1ee9c c\u00e1c kh\u00f3a h\u1ecdc online hay offline?\nTr\u1ea3 l\u1eddi: C\u00e1c l\u1edbp t\u1ea1i VietAI \u0111\u01b0\u1ee3c t\u1ed5 ch\u1ee9c tr\u1ef1c tuy\u1ebfn (online) s\u1eed d\u1ee5ng ph\u1ea7n m\u1ec1m Zoom. Tuy nhi\u00ean, tr\u01b0\u1edbc v\u00e0 sau khi k\u1ebft th\u00fac c\u00e1c kh\u00f3a \u0111\u1ec1u c\u00f3 t\u1ed5 ch\u1ee9c c\u00e1c bu\u1ed5i g\u1eb7p tr\u1ef1c ti\u1ebfp (offline) \u0111\u1ec3 giao l\u01b0u t\u1ea1i hai \u0111\u1ea7u c\u1ea7u TP.HCM v\u00e0 H\u00e0 N\u1ed9i."}
{"question": "C\u00e2u h\u1ecfi: C\u00e1ch t\u1ed5 ch\u1ee9c c\u00e1c bu\u1ed5i g\u1eb7p tr\u1ef1c tuy\u1ebfn c\u1ee7a VietAI nh\u01b0 th\u1ebf n\u00e0o?", "answer": "Tr\u1ea3 l\u1eddi: C\u00e1c bu\u1ed5i g\u1eb7p tr\u1ef1c tuy\u1ebfn c\u1ee7a VietAI \u0111\u01b0\u1ee3c t\u1ed5 ch\u1ee9c th\u00f4ng qua ph\u1ea7n m\u1ec1m Zoom, cho ph\u00e9p h\u1ecdc vi\u00ean v\u00e0 gi\u1ea3ng vi\u00ean c\u00f3 th\u1ec3 giao ti\u1ebfp v\u00e0 trao \u0111\u1ed5i ki\u1ebfn th\u1ee9c m\u1ed9t c\u00e1ch tr\u1ef1c quan v\u00e0 ti\u1ec7n l\u1ee3i.", "text": "C\u00e2u h\u1ecfi: C\u00e1ch t\u1ed5 ch\u1ee9c c\u00e1c bu\u1ed5i g\u1eb7p tr\u1ef1c tuy\u1ebfn c\u1ee7a VietAI nh\u01b0 th\u1ebf n\u00e0o?\nTr\u1ea3 l\u1eddi: C\u00e1c bu\u1ed5i g\u1eb7p tr\u1ef1c tuy\u1ebfn c\u1ee7a VietAI \u0111\u01b0\u1ee3c t\u1ed5 ch\u1ee9c th\u00f4ng qua ph\u1ea7n m\u1ec1m Zoom, cho ph\u00e9p h\u1ecdc vi\u00ean v\u00e0 gi\u1ea3ng vi\u00ean c\u00f3 th\u1ec3 giao ti\u1ebfp v\u00e0 trao \u0111\u1ed5i ki\u1ebfn th\u1ee9c m\u1ed9t c\u00e1ch tr\u1ef1c quan v\u00e0 ti\u1ec7n l\u1ee3i."}
{"question": "C\u00e2u h\u1ecfi: VietAI t\u1ed5 ch\u1ee9c c\u00e1c bu\u1ed5i g\u1eb7p tr\u1ef1c tuy\u1ebfn th\u00f4ng qua ph\u1ea7n m\u1ec1m n\u00e0o?", "answer": "Tr\u1ea3 l\u1eddi: VietAI s\u1eed d\u1ee5ng ph\u1ea7n m\u1ec1m Zoom \u0111\u1ec3 t\u1ed5 ch\u1ee9c c\u00e1c bu\u1ed5i g\u1eb7p tr\u1ef1c tuy\u1ebfn.", "text": "C\u00e2u h\u1ecfi: VietAI t\u1ed5 ch\u1ee9c c\u00e1c bu\u1ed5i g\u1eb7p tr\u1ef1c tuy\u1ebfn th\u00f4ng qua ph\u1ea7n m\u1ec1m n\u00e0o?\nTr\u1ea3 l\u1eddi: VietAI s\u1eed d\u1ee5ng ph\u1ea7n m\u1ec1m Zoom \u0111\u1ec3 t\u1ed5 ch\u1ee9c c\u00e1c bu\u1ed5i g\u1eb7p tr\u1ef1c tuy\u1ebfn."}
{"question": "C\u00e2u h\u1ecfi: C\u00e1c l\u1edbp t\u1ea1i VietAI \u0111\u01b0\u1ee3c t\u1ed5 ch\u1ee9c online s\u1eed d\u1ee5ng ph\u1ea7n m\u1ec1m n\u00e0o?", "answer": "Tr\u1ea3 l\u1eddi: C\u00e1c l\u1edbp t\u1ea1i VietAI \u0111\u01b0\u1ee3c t\u1ed5 ch\u1ee9c online s\u1eed d\u1ee5ng ph\u1ea7n m\u1ec1m Zoom.", "text": "C\u00e2u h\u1ecfi: C\u00e1c l\u1edbp t\u1ea1i VietAI \u0111\u01b0\u1ee3c t\u1ed5 ch\u1ee9c online s\u1eed d\u1ee5ng ph\u1ea7n m\u1ec1m n\u00e0o?\nTr\u1ea3 l\u1eddi: C\u00e1c l\u1edbp t\u1ea1i VietAI \u0111\u01b0\u1ee3c t\u1ed5 ch\u1ee9c online s\u1eed d\u1ee5ng ph\u1ea7n m\u1ec1m Zoom."}
{"question": "C\u00e2u h\u1ecfi: VietAI t\u1ed5 ch\u1ee9c c\u00e1c bu\u1ed5i g\u1eb7p tr\u1ef1c tuy\u1ebfn hay tr\u1ef1c ti\u1ebfp?", "answer": "Tr\u1ea3 l\u1eddi: C\u00e1c l\u1edbp t\u1ea1i VietAI \u0111\u01b0\u1ee3c t\u1ed5 ch\u1ee9c tr\u1ef1c tuy\u1ebfn s\u1eed d\u1ee5ng ph\u1ea7n m\u1ec1m Zoom v\u00e0 c\u0169ng c\u00f3 t\u1ed5 ch\u1ee9c c\u00e1c bu\u1ed5i g\u1eb7p tr\u1ef1c ti\u1ebfp \u0111\u1ec3 giao l\u01b0u t\u1ea1i hai \u0111\u1ea7u c\u1ea7u TP.HCM v\u00e0 H\u00e0 N\u1ed9i.", "text": "C\u00e2u h\u1ecfi: VietAI t\u1ed5 ch\u1ee9c c\u00e1c bu\u1ed5i g\u1eb7p tr\u1ef1c tuy\u1ebfn hay tr\u1ef1c ti\u1ebfp?\nTr\u1ea3 l\u1eddi: C\u00e1c l\u1edbp t\u1ea1i VietAI \u0111\u01b0\u1ee3c t\u1ed5 ch\u1ee9c tr\u1ef1c tuy\u1ebfn s\u1eed d\u1ee5ng ph\u1ea7n m\u1ec1m Zoom v\u00e0 c\u0169ng c\u00f3 t\u1ed5 ch\u1ee9c c\u00e1c bu\u1ed5i g\u1eb7p tr\u1ef1c ti\u1ebfp \u0111\u1ec3 giao l\u01b0u t\u1ea1i hai \u0111\u1ea7u c\u1ea7u TP.HCM v\u00e0 H\u00e0 N\u1ed9i."}
{"question": "C\u00e2u h\u1ecfi: \u0110\u1ec3 tham gia l\u1edbp PreML, c\u00f3 c\u1ea7n \u0111i\u1ec1u ki\u1ec7n \u0111\u1ea7u v\u00e0o g\u00ec kh\u00f4ng?", "answer": "Tr\u1ea3 l\u1eddi: Kh\u00f4ng c\u1ea7n \u0111i\u1ec1u ki\u1ec7n \u0111\u1ea7u v\u00e0o, ch\u1ec9 c\u1ea7n c\u00f3 ni\u1ec1m y\u00eau th\u00edch h\u1ecdc t\u1eadp.", "text": "C\u00e2u h\u1ecfi: \u0110\u1ec3 tham gia l\u1edbp PreML, c\u00f3 c\u1ea7n \u0111i\u1ec1u ki\u1ec7n \u0111\u1ea7u v\u00e0o g\u00ec kh\u00f4ng?\nTr\u1ea3 l\u1eddi: Kh\u00f4ng c\u1ea7n \u0111i\u1ec1u ki\u1ec7n \u0111\u1ea7u v\u00e0o, ch\u1ec9 c\u1ea7n c\u00f3 ni\u1ec1m y\u00eau th\u00edch h\u1ecdc t\u1eadp."}
{"question": "C\u00e2u h\u1ecfi: \u0110\u1ec3 tham gia l\u1edbp PreML, \u0111i\u1ec1u ki\u1ec7n c\u1ea7n l\u00e0 g\u00ec?", "answer": "Tr\u1ea3 l\u1eddi: \u0110i\u1ec1u ki\u1ec7n c\u1ea7n \u0111\u1ec3 tham gia l\u1edbp PreML l\u00e0 c\u00f3 ni\u1ec1m y\u00eau th\u00edch h\u1ecdc t\u1eadp. Kh\u00f4ng c\u1ea7n c\u00f3 b\u1ea5t k\u1ef3 \u0111i\u1ec1u ki\u1ec7n \u0111\u1ea7u v\u00e0o n\u00e0o kh\u00e1c. L\u1edbp h\u1ecdc n\u00e0y s\u1ebd cung c\u1ea5p cho b\u1ea1n c\u00e1c ki\u1ebfn th\u1ee9c c\u1ea7n thi\u1ebft \u0111\u1ec3 chu\u1ea9n b\u1ecb cho vi\u1ec7c h\u1ecdc c\u00e1c l\u1edbp v\u1ec1 Machine Learning sau n\u00e0y.", "text": "C\u00e2u h\u1ecfi: \u0110\u1ec3 tham gia l\u1edbp PreML, \u0111i\u1ec1u ki\u1ec7n c\u1ea7n l\u00e0 g\u00ec?\nTr\u1ea3 l\u1eddi: \u0110i\u1ec1u ki\u1ec7n c\u1ea7n \u0111\u1ec3 tham gia l\u1edbp PreML l\u00e0 c\u00f3 ni\u1ec1m y\u00eau th\u00edch h\u1ecdc t\u1eadp. Kh\u00f4ng c\u1ea7n c\u00f3 b\u1ea5t k\u1ef3 \u0111i\u1ec1u ki\u1ec7n \u0111\u1ea7u v\u00e0o n\u00e0o kh\u00e1c. L\u1edbp h\u1ecdc n\u00e0y s\u1ebd cung c\u1ea5p cho b\u1ea1n c\u00e1c ki\u1ebfn th\u1ee9c c\u1ea7n thi\u1ebft \u0111\u1ec3 chu\u1ea9n b\u1ecb cho vi\u1ec7c h\u1ecdc c\u00e1c l\u1edbp v\u1ec1 Machine Learning sau n\u00e0y."}
{"question": "C\u00e2u h\u1ecfi: C\u00f3 c\u1ea7n \u0111i\u1ec1u ki\u1ec7n \u0111\u1ea7u v\u00e0o \u0111\u1ec3 h\u1ecdc l\u1edbp PreML kh\u00f4ng?", "answer": "Tr\u1ea3 l\u1eddi: B\u1ea1n kh\u00f4ng c\u1ea7n \u0111i\u1ec1u ki\u1ec7n \u0111\u1ea7u v\u00e0o, ch\u1ec9 c\u1ea7n c\u00f3 ni\u1ec1m y\u00eau th\u00edch h\u1ecdc t\u1eadp. L\u1edbp h\u1ecdc n\u00e0y s\u1ebd trang b\u1ecb cho b\u1ea1n c\u00e1c ki\u1ebfn th\u1ee9c c\u1ea7n thi\u1ebft \u0111\u1ec3 l\u00e0m n\u1ec1n t\u1ea3ng chu\u1ea9n b\u1ecb h\u1ecdc c\u00e1c l\u1edbp ti\u1ebfp theo v\u1ec1 Machine Learning.", "text": "C\u00e2u h\u1ecfi: C\u00f3 c\u1ea7n \u0111i\u1ec1u ki\u1ec7n \u0111\u1ea7u v\u00e0o \u0111\u1ec3 h\u1ecdc l\u1edbp PreML kh\u00f4ng?\nTr\u1ea3 l\u1eddi: B\u1ea1n kh\u00f4ng c\u1ea7n \u0111i\u1ec1u ki\u1ec7n \u0111\u1ea7u v\u00e0o, ch\u1ec9 c\u1ea7n c\u00f3 ni\u1ec1m y\u00eau th\u00edch h\u1ecdc t\u1eadp. L\u1edbp h\u1ecdc n\u00e0y s\u1ebd trang b\u1ecb cho b\u1ea1n c\u00e1c ki\u1ebfn th\u1ee9c c\u1ea7n thi\u1ebft \u0111\u1ec3 l\u00e0m n\u1ec1n t\u1ea3ng chu\u1ea9n b\u1ecb h\u1ecdc c\u00e1c l\u1edbp ti\u1ebfp theo v\u1ec1 Machine Learning."}
{"question": "C\u00e2u h\u1ecfi: N\u1ed9i dung c\u1ee7a l\u1edbp PreML bao g\u1ed3m nh\u1eefng g\u00ec?", "answer": "Tr\u1ea3 l\u1eddi: Trong l\u1edbp PreML, b\u1ea1n s\u1ebd \u0111\u01b0\u1ee3c h\u1ecdc v\u1ec1 c\u00e1ch l\u1eadp tr\u00ecnh b\u1eb1ng ng\u00f4n ng\u1eef Python v\u00e0 c\u00e1c ki\u1ebfn th\u1ee9c to\u00e1n nh\u01b0 \u0111\u1ea1i s\u1ed1 tuy\u1ebfn t\u00ednh, gi\u1ea3i t\u00edch v\u00e0 x\u00e1c su\u1ea5t th\u1ed1ng k\u00ea. Nh\u1eefng ki\u1ebfn th\u1ee9c n\u00e0y l\u00e0 c\u1ea7n thi\u1ebft \u0111\u1ec3 chu\u1ea9n b\u1ecb cho vi\u1ec7c h\u1ecdc c\u00e1c l\u1edbp Machine Learning sau n\u00e0y.", "text": "C\u00e2u h\u1ecfi: N\u1ed9i dung c\u1ee7a l\u1edbp PreML bao g\u1ed3m nh\u1eefng g\u00ec?\nTr\u1ea3 l\u1eddi: Trong l\u1edbp PreML, b\u1ea1n s\u1ebd \u0111\u01b0\u1ee3c h\u1ecdc v\u1ec1 c\u00e1ch l\u1eadp tr\u00ecnh b\u1eb1ng ng\u00f4n ng\u1eef Python v\u00e0 c\u00e1c ki\u1ebfn th\u1ee9c to\u00e1n nh\u01b0 \u0111\u1ea1i s\u1ed1 tuy\u1ebfn t\u00ednh, gi\u1ea3i t\u00edch v\u00e0 x\u00e1c su\u1ea5t th\u1ed1ng k\u00ea. Nh\u1eefng ki\u1ebfn th\u1ee9c n\u00e0y l\u00e0 c\u1ea7n thi\u1ebft \u0111\u1ec3 chu\u1ea9n b\u1ecb cho vi\u1ec7c h\u1ecdc c\u00e1c l\u1edbp Machine Learning sau n\u00e0y."}
{"question": "C\u00e2u h\u1ecfi: L\u1edbp PreML s\u1ebd gi\u1ea3ng d\u1ea1y nh\u1eefng g\u00ec v\u1ec1 ng\u00f4n ng\u1eef l\u1eadp tr\u00ecnh Python?", "answer": "Tr\u1ea3 l\u1eddi: L\u1edbp PreML s\u1ebd gi\u1ea3ng d\u1ea1y c\u00e1c ki\u1ebfn th\u1ee9c c\u01a1 b\u1ea3n v\u1ec1 l\u1eadp tr\u00ecnh v\u1edbi ng\u00f4n ng\u1eef Python, gi\u00fap b\u1ea1n c\u00f3 n\u1ec1n t\u1ea3ng v\u1eefng ch\u1eafc \u0111\u1ec3 h\u1ecdc c\u00e1c l\u1edbp ti\u1ebfp theo v\u1ec1 Machine Learning.", "text": "C\u00e2u h\u1ecfi: L\u1edbp PreML s\u1ebd gi\u1ea3ng d\u1ea1y nh\u1eefng g\u00ec v\u1ec1 ng\u00f4n ng\u1eef l\u1eadp tr\u00ecnh Python?\nTr\u1ea3 l\u1eddi: L\u1edbp PreML s\u1ebd gi\u1ea3ng d\u1ea1y c\u00e1c ki\u1ebfn th\u1ee9c c\u01a1 b\u1ea3n v\u1ec1 l\u1eadp tr\u00ecnh v\u1edbi ng\u00f4n ng\u1eef Python, gi\u00fap b\u1ea1n c\u00f3 n\u1ec1n t\u1ea3ng v\u1eefng ch\u1eafc \u0111\u1ec3 h\u1ecdc c\u00e1c l\u1edbp ti\u1ebfp theo v\u1ec1 Machine Learning."}
{"question": "C\u00e2u h\u1ecfi: L\u1edbp PreML s\u1ebd d\u1ea1y nh\u1eefng ki\u1ebfn th\u1ee9c g\u00ec v\u1ec1 l\u1eadp tr\u00ecnh v\u00e0 to\u00e1n h\u1ecdc?", "answer": "Tr\u1ea3 l\u1eddi: L\u1edbp PreML s\u1ebd d\u1ea1y c\u00e1c ki\u1ebfn th\u1ee9c c\u01a1 b\u1ea3n v\u1ec1 l\u1eadp tr\u00ecnh v\u1edbi ng\u00f4n ng\u1eef Python v\u00e0 c\u00e1c ki\u1ebfn th\u1ee9c to\u00e1n nh\u01b0 \u0111\u1ea1i s\u1ed1 tuy\u1ebfn t\u00ednh, gi\u1ea3i t\u00edch, x\u00e1c su\u1ea5t th\u1ed1ng k\u00ea.", "text": "C\u00e2u h\u1ecfi: L\u1edbp PreML s\u1ebd d\u1ea1y nh\u1eefng ki\u1ebfn th\u1ee9c g\u00ec v\u1ec1 l\u1eadp tr\u00ecnh v\u00e0 to\u00e1n h\u1ecdc?\nTr\u1ea3 l\u1eddi: L\u1edbp PreML s\u1ebd d\u1ea1y c\u00e1c ki\u1ebfn th\u1ee9c c\u01a1 b\u1ea3n v\u1ec1 l\u1eadp tr\u00ecnh v\u1edbi ng\u00f4n ng\u1eef Python v\u00e0 c\u00e1c ki\u1ebfn th\u1ee9c to\u00e1n nh\u01b0 \u0111\u1ea1i s\u1ed1 tuy\u1ebfn t\u00ednh, gi\u1ea3i t\u00edch, x\u00e1c su\u1ea5t th\u1ed1ng k\u00ea."}
{"question": "C\u00e2u h\u1ecfi: L\u1edbp PreML s\u1ebd gi\u1ea3ng d\u1ea1y nh\u1eefng ki\u1ebfn th\u1ee9c g\u00ec v\u1ec1 l\u1eadp tr\u00ecnh?", "answer": "Tr\u1ea3 l\u1eddi: L\u1edbp PreML s\u1ebd gi\u1ea3ng d\u1ea1y c\u00e1c ki\u1ebfn th\u1ee9c c\u01a1 b\u1ea3n v\u1ec1 l\u1eadp tr\u00ecnh v\u1edbi ng\u00f4n ng\u1eef Python.", "text": "C\u00e2u h\u1ecfi: L\u1edbp PreML s\u1ebd gi\u1ea3ng d\u1ea1y nh\u1eefng ki\u1ebfn th\u1ee9c g\u00ec v\u1ec1 l\u1eadp tr\u00ecnh?\nTr\u1ea3 l\u1eddi: L\u1edbp PreML s\u1ebd gi\u1ea3ng d\u1ea1y c\u00e1c ki\u1ebfn th\u1ee9c c\u01a1 b\u1ea3n v\u1ec1 l\u1eadp tr\u00ecnh v\u1edbi ng\u00f4n ng\u1eef Python."}
{"question": "C\u00e2u h\u1ecfi: L\u1edbp PreML gi\u1ea3ng d\u1ea1y nh\u1eefng ki\u1ebfn th\u1ee9c g\u00ec?", "answer": "Tr\u1ea3 l\u1eddi: L\u1edbp PreML gi\u1ea3ng d\u1ea1y ki\u1ebfn th\u1ee9c c\u01a1 b\u1ea3n v\u1ec1 l\u1eadp tr\u00ecnh v\u1edbi ng\u00f4n ng\u1eef Python v\u00e0 c\u00e1c ki\u1ebfn th\u1ee9c to\u00e1n nh\u01b0 \u0111\u1ea1i s\u1ed1 tuy\u1ebfn t\u00ednh, gi\u1ea3i t\u00edch, x\u00e1c su\u1ea5t th\u1ed1ng k\u00ea.", "text": "C\u00e2u h\u1ecfi: L\u1edbp PreML gi\u1ea3ng d\u1ea1y nh\u1eefng ki\u1ebfn th\u1ee9c g\u00ec?\nTr\u1ea3 l\u1eddi: L\u1edbp PreML gi\u1ea3ng d\u1ea1y ki\u1ebfn th\u1ee9c c\u01a1 b\u1ea3n v\u1ec1 l\u1eadp tr\u00ecnh v\u1edbi ng\u00f4n ng\u1eef Python v\u00e0 c\u00e1c ki\u1ebfn th\u1ee9c to\u00e1n nh\u01b0 \u0111\u1ea1i s\u1ed1 tuy\u1ebfn t\u00ednh, gi\u1ea3i t\u00edch, x\u00e1c su\u1ea5t th\u1ed1ng k\u00ea."}
{"question": "C\u00e2u h\u1ecfi: \u0110\u1ec3 h\u1ecdc l\u1edbp Foundation of Machine Learning, b\u1ea1n c\u1ea7n c\u00f3 ki\u1ebfn th\u1ee9c l\u1eadp tr\u00ecnh c\u0103n b\u1ea3n nh\u01b0 ng\u00f4n ng\u1eef n\u00e0o?", "answer": "Tr\u1ea3 l\u1eddi: B\u1ea1n c\u1ea7n c\u00f3 ki\u1ebfn th\u1ee9c l\u1eadp tr\u00ecnh c\u0103n b\u1ea3n, c\u00f3 th\u1ec3 l\u00e0 ng\u00f4n ng\u1eef Python, C++ ho\u1eb7c Java.", "text": "C\u00e2u h\u1ecfi: \u0110\u1ec3 h\u1ecdc l\u1edbp Foundation of Machine Learning, b\u1ea1n c\u1ea7n c\u00f3 ki\u1ebfn th\u1ee9c l\u1eadp tr\u00ecnh c\u0103n b\u1ea3n nh\u01b0 ng\u00f4n ng\u1eef n\u00e0o?\nTr\u1ea3 l\u1eddi: B\u1ea1n c\u1ea7n c\u00f3 ki\u1ebfn th\u1ee9c l\u1eadp tr\u00ecnh c\u0103n b\u1ea3n, c\u00f3 th\u1ec3 l\u00e0 ng\u00f4n ng\u1eef Python, C++ ho\u1eb7c Java."}
{"question": "C\u00e2u h\u1ecfi: VietAI c\u00f3 nh\u1eefng kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n n\u00e0o?", "answer": "Tr\u1ea3 l\u1eddi: VietAI c\u00f3 c\u00e1c kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n nh\u01b0 Prerequisite of Machine Learning, Foundation of Machine Learning, Foundation of Deep Learning, Data Science.", "text": "C\u00e2u h\u1ecfi: VietAI c\u00f3 nh\u1eefng kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n n\u00e0o?\nTr\u1ea3 l\u1eddi: VietAI c\u00f3 c\u00e1c kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n nh\u01b0 Prerequisite of Machine Learning, Foundation of Machine Learning, Foundation of Deep Learning, Data Science."}
{"question": "C\u00e2u h\u1ecfi: VietAI c\u00f3 nh\u1eefng kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n n\u00e0o?", "answer": "Tr\u1ea3 l\u1eddi: C\u00e1c kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n c\u1ee7a VietAI bao g\u1ed3m Prerequisite of Machine Learning, Foundation of Machine Learning, Foundation of Deep Learning, Data Science.", "text": "C\u00e2u h\u1ecfi: VietAI c\u00f3 nh\u1eefng kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n n\u00e0o?\nTr\u1ea3 l\u1eddi: C\u00e1c kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n c\u1ee7a VietAI bao g\u1ed3m Prerequisite of Machine Learning, Foundation of Machine Learning, Foundation of Deep Learning, Data Science."}
{"question": "C\u00e2u h\u1ecfi: VietAI hi\u1ec7n c\u00f3 nh\u1eefng kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n n\u00e0o?", "answer": "Tr\u1ea3 l\u1eddi: C\u00e1c kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n c\u1ee7a VietAI bao g\u1ed3m Prerequisite of Machine Learning, Foundation of Machine Learning, Foundation of Deep Learning v\u00e0 Data Science.", "text": "C\u00e2u h\u1ecfi: VietAI hi\u1ec7n c\u00f3 nh\u1eefng kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n n\u00e0o?\nTr\u1ea3 l\u1eddi: C\u00e1c kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n c\u1ee7a VietAI bao g\u1ed3m Prerequisite of Machine Learning, Foundation of Machine Learning, Foundation of Deep Learning v\u00e0 Data Science."}
{"question": "C\u00e2u h\u1ecfi: VietAI c\u00f3 nh\u1eefng kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n n\u00e0o?", "answer": "Tr\u1ea3 l\u1eddi: VietAI hi\u1ec7n t\u1ea1i c\u00f3 c\u00e1c kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n nh\u01b0 Prerequisite of Machine Learning, Foundation of Machine Learning, Foundation of Deep Learning, Data Science.", "text": "C\u00e2u h\u1ecfi: VietAI c\u00f3 nh\u1eefng kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n n\u00e0o?\nTr\u1ea3 l\u1eddi: VietAI hi\u1ec7n t\u1ea1i c\u00f3 c\u00e1c kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n nh\u01b0 Prerequisite of Machine Learning, Foundation of Machine Learning, Foundation of Deep Learning, Data Science."}
{"question": "C\u00e2u h\u1ecfi: VietAI hi\u1ec7n t\u1ea1i c\u00f3 nh\u1eefng kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n n\u00e0o?", "answer": "Tr\u1ea3 l\u1eddi: VietAI hi\u1ec7n t\u1ea1i c\u00f3 c\u00e1c kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n nh\u01b0 Prerequisite of Machine Learning, Foundation of Machine Learning, Foundation of Deep Learning, Data Science.", "text": "C\u00e2u h\u1ecfi: VietAI hi\u1ec7n t\u1ea1i c\u00f3 nh\u1eefng kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n n\u00e0o?\nTr\u1ea3 l\u1eddi: VietAI hi\u1ec7n t\u1ea1i c\u00f3 c\u00e1c kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n nh\u01b0 Prerequisite of Machine Learning, Foundation of Machine Learning, Foundation of Deep Learning, Data Science."}
{"question": "C\u00e2u h\u1ecfi: VietAI c\u00f3 nh\u1eefng kh\u00f3a h\u1ecdc n\u00e2ng cao n\u00e0o?", "answer": "Tr\u1ea3 l\u1eddi: VietAI hi\u1ec7n t\u1ea1i c\u00f3 c\u00e1c kh\u00f3a h\u1ecdc n\u00e2ng cao nh\u01b0 Advanced Computer Vision, Advanced Natural Language Processing.", "text": "C\u00e2u h\u1ecfi: VietAI c\u00f3 nh\u1eefng kh\u00f3a h\u1ecdc n\u00e2ng cao n\u00e0o?\nTr\u1ea3 l\u1eddi: VietAI hi\u1ec7n t\u1ea1i c\u00f3 c\u00e1c kh\u00f3a h\u1ecdc n\u00e2ng cao nh\u01b0 Advanced Computer Vision, Advanced Natural Language Processing."}
{"question": "C\u00e2u h\u1ecfi: VietAI c\u00f3 nh\u1eefng kh\u00f3a h\u1ecdc kh\u00e1c ngo\u00e0i kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n v\u00e0 n\u00e2ng cao kh\u00f4ng?", "answer": "Tr\u1ea3 l\u1eddi: VietAI hi\u1ec7n t\u1ea1i c\u00f3 c\u00e1c kh\u00f3a h\u1ecdc kh\u00e1c nh\u01b0 ChatGPT for Everyone, AI for Every One, Build Application with OpenAI API.", "text": "C\u00e2u h\u1ecfi: VietAI c\u00f3 nh\u1eefng kh\u00f3a h\u1ecdc kh\u00e1c ngo\u00e0i kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n v\u00e0 n\u00e2ng cao kh\u00f4ng?\nTr\u1ea3 l\u1eddi: VietAI hi\u1ec7n t\u1ea1i c\u00f3 c\u00e1c kh\u00f3a h\u1ecdc kh\u00e1c nh\u01b0 ChatGPT for Everyone, AI for Every One, Build Application with OpenAI API."}
{"question": "C\u00e2u h\u1ecfi: Ai l\u00e0 ng\u01b0\u1eddi s\u00e1ng l\u1eadp VietAI?", "answer": "Tr\u1ea3 l\u1eddi: VietAI \u0111\u01b0\u1ee3c th\u00e0nh l\u1eadp b\u1edfi hai nh\u00e0 khoa h\u1ecdc m\u00e1y t\u00ednh n\u1ed5i ti\u1ebfng l\u00e0 Thang Luong v\u00e0 Thuc Vu v\u00e0o n\u0103m 2018.", "text": "C\u00e2u h\u1ecfi: Ai l\u00e0 ng\u01b0\u1eddi s\u00e1ng l\u1eadp VietAI?\nTr\u1ea3 l\u1eddi: VietAI \u0111\u01b0\u1ee3c th\u00e0nh l\u1eadp b\u1edfi hai nh\u00e0 khoa h\u1ecdc m\u00e1y t\u00ednh n\u1ed5i ti\u1ebfng l\u00e0 Thang Luong v\u00e0 Thuc Vu v\u00e0o n\u0103m 2018."}
{"question": "C\u00e2u h\u1ecfi: M\u1ee5c ti\u00eau ch\u00ednh c\u1ee7a VietAI l\u00e0 g\u00ec?", "answer": "Tr\u1ea3 l\u1eddi: M\u1ee5c ti\u00eau ch\u00ednh c\u1ee7a VietAI l\u00e0 \u0111\u00e0o t\u1ea1o, hu\u1ea5n luy\u1ec7n v\u00e0 nghi\u00ean c\u1ee9u khoa h\u1ecdc v\u1ec1 Tr\u00ed tu\u1ec7 Nh\u00e2n t\u1ea1o (AI) v\u00e0 H\u1ecdc m\u00e1y (ML) ch\u1ea5t l\u01b0\u1ee3ng cao.", "text": "C\u00e2u h\u1ecfi: M\u1ee5c ti\u00eau ch\u00ednh c\u1ee7a VietAI l\u00e0 g\u00ec?\nTr\u1ea3 l\u1eddi: M\u1ee5c ti\u00eau ch\u00ednh c\u1ee7a VietAI l\u00e0 \u0111\u00e0o t\u1ea1o, hu\u1ea5n luy\u1ec7n v\u00e0 nghi\u00ean c\u1ee9u khoa h\u1ecdc v\u1ec1 Tr\u00ed tu\u1ec7 Nh\u00e2n t\u1ea1o (AI) v\u00e0 H\u1ecdc m\u00e1y (ML) ch\u1ea5t l\u01b0\u1ee3ng cao."}
{"question": "C\u00e2u h\u1ecfi: Khi n\u00e0o VietAI \u0111\u01b0\u1ee3c th\u00e0nh l\u1eadp?", "answer": "Tr\u1ea3 l\u1eddi: VietAI \u0111\u01b0\u1ee3c th\u00e0nh l\u1eadp v\u00e0o n\u0103m 2018.", "text": "C\u00e2u h\u1ecfi: Khi n\u00e0o VietAI \u0111\u01b0\u1ee3c th\u00e0nh l\u1eadp?\nTr\u1ea3 l\u1eddi: VietAI \u0111\u01b0\u1ee3c th\u00e0nh l\u1eadp v\u00e0o n\u0103m 2018."}
{"question": "C\u00e2u h\u1ecfi: C\u00f3 ngu\u1ed3n th\u00f4ng tin c\u1ee5 th\u1ec3 n\u00e0o v\u1ec1 VietAI m\u00e0 t\u00f4i c\u00f3 th\u1ec3 xem?", "answer": "Tr\u1ea3 l\u1eddi: B\u1ea1n c\u00f3 th\u1ec3 t\u00ecm hi\u1ec3u th\u00eam th\u00f4ng tin v\u1ec1 VietAI tr\u00ean trang web ch\u00ednh th\u1ee9c c\u1ee7a h\u1ecd t\u1ea1i \u0111\u1ecba ch\u1ec9: https://vietai.org", "text": "C\u00e2u h\u1ecfi: C\u00f3 ngu\u1ed3n th\u00f4ng tin c\u1ee5 th\u1ec3 n\u00e0o v\u1ec1 VietAI m\u00e0 t\u00f4i c\u00f3 th\u1ec3 xem?\nTr\u1ea3 l\u1eddi: B\u1ea1n c\u00f3 th\u1ec3 t\u00ecm hi\u1ec3u th\u00eam th\u00f4ng tin v\u1ec1 VietAI tr\u00ean trang web ch\u00ednh th\u1ee9c c\u1ee7a h\u1ecd t\u1ea1i \u0111\u1ecba ch\u1ec9: https://vietai.org"}
{"question": "C\u00e2u h\u1ecfi: \u0110\u00e2y c\u00f3 ph\u1ea3i l\u00e0 m\u1ed9t t\u1ed5 ch\u1ee9c phi l\u1ee3i nhu\u1eadn kh\u00f4ng?", "answer": "Tr\u1ea3 l\u1eddi: \u0110\u00fang, VietAI l\u00e0 m\u1ed9t t\u1ed5 ch\u1ee9c phi l\u1ee3i nhu\u1eadn.", "text": "C\u00e2u h\u1ecfi: \u0110\u00e2y c\u00f3 ph\u1ea3i l\u00e0 m\u1ed9t t\u1ed5 ch\u1ee9c phi l\u1ee3i nhu\u1eadn kh\u00f4ng?\nTr\u1ea3 l\u1eddi: \u0110\u00fang, VietAI l\u00e0 m\u1ed9t t\u1ed5 ch\u1ee9c phi l\u1ee3i nhu\u1eadn."}
{"question": "C\u00e2u h\u1ecfi: VietAI c\u00f3 c\u00e1c kh\u00f3a h\u1ecdc n\u00e0o cho ng\u01b0\u1eddi m\u1edbi b\u1eaft \u0111\u1ea7u?", "answer": "Tr\u1ea3 l\u1eddi: VietAI cung c\u1ea5p c\u00e1c kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n nh\u01b0 Prerequisite of Machine Learning v\u00e0 Foundation of Deep Learning cho ng\u01b0\u1eddi m\u1edbi b\u1eaft \u0111\u1ea7u.", "text": "C\u00e2u h\u1ecfi: VietAI c\u00f3 c\u00e1c kh\u00f3a h\u1ecdc n\u00e0o cho ng\u01b0\u1eddi m\u1edbi b\u1eaft \u0111\u1ea7u?\nTr\u1ea3 l\u1eddi: VietAI cung c\u1ea5p c\u00e1c kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n nh\u01b0 Prerequisite of Machine Learning v\u00e0 Foundation of Deep Learning cho ng\u01b0\u1eddi m\u1edbi b\u1eaft \u0111\u1ea7u."}
{"question": "C\u00e2u h\u1ecfi: Ngo\u00e0i c\u00e1c kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n, VietAI c\u00f2n c\u00f3 nh\u1eefng kh\u00f3a h\u1ecdc n\u00e0o cho ng\u01b0\u1eddi mu\u1ed1n ph\u00e1t tri\u1ec3n cao h\u01a1n?", "answer": "Tr\u1ea3 l\u1eddi: \u0110\u00fang v\u1eady, VietAI cung c\u1ea5p c\u00e1c kh\u00f3a h\u1ecdc n\u00e2ng cao nh\u01b0 Advanced Computer Vision v\u00e0 Advanced Natural Language Processing cho nh\u1eefng ng\u01b0\u1eddi mu\u1ed1n ph\u00e1t tri\u1ec3n cao h\u01a1n.", "text": "C\u00e2u h\u1ecfi: Ngo\u00e0i c\u00e1c kh\u00f3a h\u1ecdc c\u01a1 b\u1ea3n, VietAI c\u00f2n c\u00f3 nh\u1eefng kh\u00f3a h\u1ecdc n\u00e0o cho ng\u01b0\u1eddi mu\u1ed1n ph\u00e1t tri\u1ec3n cao h\u01a1n?\nTr\u1ea3 l\u1eddi: \u0110\u00fang v\u1eady, VietAI cung c\u1ea5p c\u00e1c kh\u00f3a h\u1ecdc n\u00e2ng cao nh\u01b0 Advanced Computer Vision v\u00e0 Advanced Natural Language Processing cho nh\u1eefng ng\u01b0\u1eddi mu\u1ed1n ph\u00e1t tri\u1ec3n cao h\u01a1n."}
{"question": "C\u00e2u h\u1ecfi: T\u00f4i quan t\u00e2m \u0111\u1ebfn vi\u1ec7c s\u1eed d\u1ee5ng tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o \u0111\u1ec3 x\u00e2y d\u1ef1ng \u1ee9ng d\u1ee5ng. VietAI c\u00f3 c\u00e1c kh\u00f3a h\u1ecdc li\u00ean quan kh\u00f4ng?", "answer": "Tr\u1ea3 l\u1eddi: Ch\u1eafc ch\u1eafn r\u1ed3i, VietAI cung c\u1ea5p kh\u00f3a h\u1ecdc \"Build Application with OpenAI API\" gi\u00fap b\u1ea1n h\u1ecdc c\u00e1ch s\u1eed d\u1ee5ng tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o \u0111\u1ec3 x\u00e2y d\u1ef1ng c\u00e1c \u1ee9ng d\u1ee5ng.", "text": "C\u00e2u h\u1ecfi: T\u00f4i quan t\u00e2m \u0111\u1ebfn vi\u1ec7c s\u1eed d\u1ee5ng tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o \u0111\u1ec3 x\u00e2y d\u1ef1ng \u1ee9ng d\u1ee5ng. VietAI c\u00f3 c\u00e1c kh\u00f3a h\u1ecdc li\u00ean quan kh\u00f4ng?\nTr\u1ea3 l\u1eddi: Ch\u1eafc ch\u1eafn r\u1ed3i, VietAI cung c\u1ea5p kh\u00f3a h\u1ecdc \"Build Application with OpenAI API\" gi\u00fap b\u1ea1n h\u1ecdc c\u00e1ch s\u1eed d\u1ee5ng tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o \u0111\u1ec3 x\u00e2y d\u1ef1ng c\u00e1c \u1ee9ng d\u1ee5ng."}
{"question": "C\u00e2u h\u1ecfi: T\u00f4i mu\u1ed1n bi\u1ebft th\u00eam v\u1ec1 kh\u00f3a h\u1ecdc n\u00e0o d\u00e0nh cho m\u1ecdi ng\u01b0\u1eddi. C\u00f3 kh\u00f3a h\u1ecdc n\u00e0o nh\u01b0 v\u1eady kh\u00f4ng?", "answer": "Tr\u1ea3 l\u1eddi: C\u00f3, VietAI cung c\u1ea5p kh\u00f3a h\u1ecdc \"ChatGPT for Everyone\" v\u00e0 \"AI for Every One\" \u0111\u1ec3 ph\u1ee5c v\u1ee5 m\u1ecdi ng\u01b0\u1eddi trong vi\u1ec7c hi\u1ec3u v\u1ec1 tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o v\u00e0 chatbot.", "text": "C\u00e2u h\u1ecfi: T\u00f4i mu\u1ed1n bi\u1ebft th\u00eam v\u1ec1 kh\u00f3a h\u1ecdc n\u00e0o d\u00e0nh cho m\u1ecdi ng\u01b0\u1eddi. C\u00f3 kh\u00f3a h\u1ecdc n\u00e0o nh\u01b0 v\u1eady kh\u00f4ng?\nTr\u1ea3 l\u1eddi: C\u00f3, VietAI cung c\u1ea5p kh\u00f3a h\u1ecdc \"ChatGPT for Everyone\" v\u00e0 \"AI for Every One\" \u0111\u1ec3 ph\u1ee5c v\u1ee5 m\u1ecdi ng\u01b0\u1eddi trong vi\u1ec7c hi\u1ec3u v\u1ec1 tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o v\u00e0 chatbot."}
{"question": "C\u00e2u h\u1ecfi: L\u00e0m th\u1ebf n\u00e0o \u0111\u1ec3 \u0111\u0103ng k\u00fd tham gia c\u00e1c kh\u00f3a h\u1ecdc c\u1ee7a VietAI?", "answer": "Tr\u1ea3 l\u1eddi: \u0110\u1ec3 \u0111\u0103ng k\u00fd tham gia c\u00e1c kh\u00f3a h\u1ecdc c\u1ee7a VietAI, b\u1ea1n c\u00f3 th\u1ec3 truy c\u1eadp trang web ch\u00ednh c\u1ee7a VietAI v\u00e0 theo h\u01b0\u1edbng d\u1eabn \u0111\u0103ng k\u00fd tr\u00ean \u0111\u00f3.", "text": "C\u00e2u h\u1ecfi: L\u00e0m th\u1ebf n\u00e0o \u0111\u1ec3 \u0111\u0103ng k\u00fd tham gia c\u00e1c kh\u00f3a h\u1ecdc c\u1ee7a VietAI?\nTr\u1ea3 l\u1eddi: \u0110\u1ec3 \u0111\u0103ng k\u00fd tham gia c\u00e1c kh\u00f3a h\u1ecdc c\u1ee7a VietAI, b\u1ea1n c\u00f3 th\u1ec3 truy c\u1eadp trang web ch\u00ednh c\u1ee7a VietAI v\u00e0 theo h\u01b0\u1edbng d\u1eabn \u0111\u0103ng k\u00fd tr\u00ean \u0111\u00f3."}
{"question": "C\u00e2u h\u1ecfi: VietAI ho\u1ea1t \u0111\u1ed9ng trong l\u0129nh v\u1ef1c n\u00e0o ch\u00ednh?", "answer": "Tr\u1ea3 l\u1eddi: VietAI c\u00f3 ba ho\u1ea1t \u0111\u1ed9ng ch\u00ednh: gi\u1ea3ng d\u1ea1y, nghi\u00ean c\u1ee9u v\u00e0 ph\u00e1t tri\u1ec3n doanh nghi\u1ec7p startup", "text": "C\u00e2u h\u1ecfi: VietAI ho\u1ea1t \u0111\u1ed9ng trong l\u0129nh v\u1ef1c n\u00e0o ch\u00ednh?\nTr\u1ea3 l\u1eddi: VietAI c\u00f3 ba ho\u1ea1t \u0111\u1ed9ng ch\u00ednh: gi\u1ea3ng d\u1ea1y, nghi\u00ean c\u1ee9u v\u00e0 ph\u00e1t tri\u1ec3n doanh nghi\u1ec7p startup"}
{"question": "C\u00e2u h\u1ecfi: VietAI l\u00e0m th\u1ebf n\u00e0o \u0111\u1ec3 k\u1ebft n\u1ed1i sinh vi\u00ean v\u00e0 c\u00e1c chuy\u00ean gia AI h\u00e0ng \u0111\u1ea7u?", "answer": "Tr\u1ea3 l\u1eddi: VietAI k\u1ebft n\u1ed1i sinh vi\u00ean v\u00e0 c\u00e1c chuy\u00ean gia AI h\u00e0ng \u0111\u1ea7u th\u00f4ng qua ho\u1ea1t \u0111\u1ed9ng nghi\u00ean c\u1ee9u v\u00e0 th\u1ef1c hi\u1ec7n c\u00e1c d\u1ef1 \u00e1n nghi\u00ean c\u1ee9u ti\u00ean ti\u1ebfn.", "text": "C\u00e2u h\u1ecfi: VietAI l\u00e0m th\u1ebf n\u00e0o \u0111\u1ec3 k\u1ebft n\u1ed1i sinh vi\u00ean v\u00e0 c\u00e1c chuy\u00ean gia AI h\u00e0ng \u0111\u1ea7u?\nTr\u1ea3 l\u1eddi: VietAI k\u1ebft n\u1ed1i sinh vi\u00ean v\u00e0 c\u00e1c chuy\u00ean gia AI h\u00e0ng \u0111\u1ea7u th\u00f4ng qua ho\u1ea1t \u0111\u1ed9ng nghi\u00ean c\u1ee9u v\u00e0 th\u1ef1c hi\u1ec7n c\u00e1c d\u1ef1 \u00e1n nghi\u00ean c\u1ee9u ti\u00ean ti\u1ebfn."}
{"question": "C\u00e2u h\u1ecfi: VietAI c\u00f3 t\u1ea1o c\u01a1 h\u1ed9i h\u1ee3p t\u00e1c v\u1edbi \u0111\u1ed1i t\u00e1c n\u00e0o trong gi\u00e1o d\u1ee5c v\u00e0 c\u00f4ng nghi\u1ec7p?", "answer": "Tr\u1ea3 l\u1eddi: VietAI t\u1ea1o c\u01a1 h\u1ed9i h\u1ee3p t\u00e1c v\u1edbi c\u00e1c \u0111\u1ed1i t\u00e1c trong gi\u00e1o d\u1ee5c v\u00e0 c\u00f4ng nghi\u1ec7p \u0111\u1ec3 nu\u00f4i d\u01b0\u1ee1ng th\u1ebf h\u1ec7 t\u00e0i n\u0103ng AI tr\u1ebb tu\u1ed5i t\u1ea1i Vi\u1ec7t Nam.", "text": "C\u00e2u h\u1ecfi: VietAI c\u00f3 t\u1ea1o c\u01a1 h\u1ed9i h\u1ee3p t\u00e1c v\u1edbi \u0111\u1ed1i t\u00e1c n\u00e0o trong gi\u00e1o d\u1ee5c v\u00e0 c\u00f4ng nghi\u1ec7p?\nTr\u1ea3 l\u1eddi: VietAI t\u1ea1o c\u01a1 h\u1ed9i h\u1ee3p t\u00e1c v\u1edbi c\u00e1c \u0111\u1ed1i t\u00e1c trong gi\u00e1o d\u1ee5c v\u00e0 c\u00f4ng nghi\u1ec7p \u0111\u1ec3 nu\u00f4i d\u01b0\u1ee1ng th\u1ebf h\u1ec7 t\u00e0i n\u0103ng AI tr\u1ebb tu\u1ed5i t\u1ea1i Vi\u1ec7t Nam."}
{"question": "C\u00e2u h\u1ecfi: C\u00e1c ho\u1ea1t \u0111\u1ed9ng kh\u00e1c ngo\u00e0i gi\u1ea3ng d\u1ea1y v\u00e0 nghi\u00ean c\u1ee9u m\u00e0 VietAI th\u1ef1c hi\u1ec7n l\u00e0 g\u00ec?", "answer": "Tr\u1ea3 l\u1eddi: Ngo\u00e0i gi\u1ea3ng d\u1ea1y v\u00e0 nghi\u00ean c\u1ee9u, VietAI c\u00f2n th\u1ef1c hi\u1ec7n ho\u1ea1t \u0111\u1ed9ng ph\u00e1t tri\u1ec3n doanh nghi\u1ec7p startup trong l\u0129nh v\u1ef1c AI.", "text": "C\u00e2u h\u1ecfi: C\u00e1c ho\u1ea1t \u0111\u1ed9ng kh\u00e1c ngo\u00e0i gi\u1ea3ng d\u1ea1y v\u00e0 nghi\u00ean c\u1ee9u m\u00e0 VietAI th\u1ef1c hi\u1ec7n l\u00e0 g\u00ec?\nTr\u1ea3 l\u1eddi: Ngo\u00e0i gi\u1ea3ng d\u1ea1y v\u00e0 nghi\u00ean c\u1ee9u, VietAI c\u00f2n th\u1ef1c hi\u1ec7n ho\u1ea1t \u0111\u1ed9ng ph\u00e1t tri\u1ec3n doanh nghi\u1ec7p startup trong l\u0129nh v\u1ef1c AI."}
{"question": "C\u00e2u h\u1ecfi: H\u1ecdc b\u1ed5ng khuy\u1ebfn kh\u00edch c\u1ee7a VietAI d\u00e0nh cho ai?", "answer": "Tr\u1ea3 l\u1eddi: H\u1ecdc b\u1ed5ng khuy\u1ebfn kh\u00edch c\u1ee7a VietAI d\u00e0nh cho Top 3 t\u1ed1t nghi\u1ec7p c\u1ea7u \u0111\u1ea7u ra. \u0110i\u1ec1u n\u00e0y ngh\u0129a l\u00e0 nh\u1eefng ng\u01b0\u1eddi t\u1ed1t nghi\u1ec7p xu\u1ea5t s\u1eafc c\u00f3 c\u01a1 h\u1ed9i nh\u1eadn h\u1ecdc b\u1ed5ng.", "text": "C\u00e2u h\u1ecfi: H\u1ecdc b\u1ed5ng khuy\u1ebfn kh\u00edch c\u1ee7a VietAI d\u00e0nh cho ai?\nTr\u1ea3 l\u1eddi: H\u1ecdc b\u1ed5ng khuy\u1ebfn kh\u00edch c\u1ee7a VietAI d\u00e0nh cho Top 3 t\u1ed1t nghi\u1ec7p c\u1ea7u \u0111\u1ea7u ra. \u0110i\u1ec1u n\u00e0y ngh\u0129a l\u00e0 nh\u1eefng ng\u01b0\u1eddi t\u1ed1t nghi\u1ec7p xu\u1ea5t s\u1eafc c\u00f3 c\u01a1 h\u1ed9i nh\u1eadn h\u1ecdc b\u1ed5ng."}
{"question": "C\u00e2u h\u1ecfi: H\u1ecdc vi\u00ean nh\u1eadn \u0111\u01b0\u1ee3c nh\u1eefng quy\u1ec1n l\u1ee3i g\u00ec khi tham gia kh\u00f3a h\u1ecdc t\u1ea1i VietAI ngo\u00e0i h\u1ecdc b\u1ed5ng?", "answer": "Tr\u1ea3 l\u1eddi: H\u1ecdc vi\u00ean tham gia kh\u00f3a h\u1ecdc t\u1ea1i VietAI s\u1ebd nh\u1eadn \u0111\u01b0\u1ee3c nhi\u1ec1u quy\u1ec1n l\u1ee3i h\u1ea5p d\u1eabn kh\u00e1c nh\u01b0: \u0110\u01b0\u1ee3c \u0111\u1ed9i ng\u0169 gi\u1ea3ng d\u1ea1y truy\u1ec1n \u0111\u1ea1t tr\u1ea3i nghi\u1ec7m l\u00e0m vi\u1ec7c v\u00e0 kinh nghi\u1ec7m v\u1ec1 c\u00e1ch thi\u1ebft k\u1ebf CV v\u00e0 ph\u1ecfng v\u1ea5n v\u1ecb tr\u00ed AILP engineer; H\u1ed7 tr\u1ee3 \u0111\u1ecbnh h\u01b0\u1edbng trong su\u1ed1t qu\u00e1 tr\u00ecnh h\u1ecdc; C\u01a1 h\u1ed9i tham gia c\u00e1c bu\u1ed5i chia s\u1ebb t\u1eeb gi\u1ea3ng vi\u00ean th\u1ec9nh gi\u1ea3ng v\u00e0 c\u00e1c webinar n\u1ed9i b\u1ed9 c\u1ee7a c\u1ed9ng \u0111\u1ed3ng VietAI.", "text": "C\u00e2u h\u1ecfi: H\u1ecdc vi\u00ean nh\u1eadn \u0111\u01b0\u1ee3c nh\u1eefng quy\u1ec1n l\u1ee3i g\u00ec khi tham gia kh\u00f3a h\u1ecdc t\u1ea1i VietAI ngo\u00e0i h\u1ecdc b\u1ed5ng?\nTr\u1ea3 l\u1eddi: H\u1ecdc vi\u00ean tham gia kh\u00f3a h\u1ecdc t\u1ea1i VietAI s\u1ebd nh\u1eadn \u0111\u01b0\u1ee3c nhi\u1ec1u quy\u1ec1n l\u1ee3i h\u1ea5p d\u1eabn kh\u00e1c nh\u01b0: \u0110\u01b0\u1ee3c \u0111\u1ed9i ng\u0169 gi\u1ea3ng d\u1ea1y truy\u1ec1n \u0111\u1ea1t tr\u1ea3i nghi\u1ec7m l\u00e0m vi\u1ec7c v\u00e0 kinh nghi\u1ec7m v\u1ec1 c\u00e1ch thi\u1ebft k\u1ebf CV v\u00e0 ph\u1ecfng v\u1ea5n v\u1ecb tr\u00ed AILP engineer; H\u1ed7 tr\u1ee3 \u0111\u1ecbnh h\u01b0\u1edbng trong su\u1ed1t qu\u00e1 tr\u00ecnh h\u1ecdc; C\u01a1 h\u1ed9i tham gia c\u00e1c bu\u1ed5i chia s\u1ebb t\u1eeb gi\u1ea3ng vi\u00ean th\u1ec9nh gi\u1ea3ng v\u00e0 c\u00e1c webinar n\u1ed9i b\u1ed9 c\u1ee7a c\u1ed9ng \u0111\u1ed3ng VietAI."}
{"question": "C\u00e2u h\u1ecfi: L\u00e0m th\u1ebf n\u00e0o \u0111\u1ec3 t\u00ecm hi\u1ec3u th\u00eam v\u1ec1 c\u00e1c kh\u00f3a h\u1ecdc v\u00e0 h\u1ecdc b\u1ed5ng t\u1ea1i VietAI?", "answer": "Tr\u1ea3 l\u1eddi: \u0110\u1ec3 t\u00ecm hi\u1ec3u th\u00eam v\u1ec1 c\u00e1c kh\u00f3a h\u1ecdc v\u00e0 h\u1ecdc b\u1ed5ng t\u1ea1i VietAI, b\u1ea1n c\u00f3 th\u1ec3 truy c\u1eadp trang web ch\u00ednh th\u1ee9c c\u1ee7a VietAI v\u00e0 kh\u00e1m ph\u00e1 th\u00f4ng tin chi ti\u1ebft v\u1ec1 c\u00e1c kh\u00f3a h\u1ecdc, y\u00eau c\u1ea7u \u0111\u0103ng k\u00fd, v\u00e0 c\u00e1c h\u1ecdc b\u1ed5ng.", "text": "C\u00e2u h\u1ecfi: L\u00e0m th\u1ebf n\u00e0o \u0111\u1ec3 t\u00ecm hi\u1ec3u th\u00eam v\u1ec1 c\u00e1c kh\u00f3a h\u1ecdc v\u00e0 h\u1ecdc b\u1ed5ng t\u1ea1i VietAI?\nTr\u1ea3 l\u1eddi: \u0110\u1ec3 t\u00ecm hi\u1ec3u th\u00eam v\u1ec1 c\u00e1c kh\u00f3a h\u1ecdc v\u00e0 h\u1ecdc b\u1ed5ng t\u1ea1i VietAI, b\u1ea1n c\u00f3 th\u1ec3 truy c\u1eadp trang web ch\u00ednh th\u1ee9c c\u1ee7a VietAI v\u00e0 kh\u00e1m ph\u00e1 th\u00f4ng tin chi ti\u1ebft v\u1ec1 c\u00e1c kh\u00f3a h\u1ecdc, y\u00eau c\u1ea7u \u0111\u0103ng k\u00fd, v\u00e0 c\u00e1c h\u1ecdc b\u1ed5ng."}
{"question": "C\u00e2u h\u1ecfi: L\u00e0m th\u1ebf n\u00e0o \u0111\u1ec3 t\u00f4i c\u00f3 th\u1ec3 c\u1eadp nh\u1eadt th\u00f4ng tin m\u1edbi nh\u1ea5t v\u1ec1 c\u00e1c kh\u00f3a h\u1ecdc AI t\u1eeb VietAI?", "answer": "Tr\u1ea3 l\u1eddi: \u0110\u1ec3 c\u1eadp nh\u1eadt th\u00f4ng tin m\u1edbi nh\u1ea5t v\u1ec1 c\u00e1c kh\u00f3a h\u1ecdc AI t\u1eeb VietAI, b\u1ea1n c\u00f3 th\u1ec3 truy c\u1eadp trang web vietai.org v\u00e0 xem c\u00e1c th\u00f4ng tin v\u00e0 kh\u00f3a h\u1ecdc \u0111ang m\u1edf. Ngo\u00e0i ra, b\u1ea1n c\u0169ng n\u00ean theo d\u00f5i fanpage c\u1ee7a VietAI tr\u00ean Facebook, v\u00ec h\u1ecd th\u01b0\u1eddng \u0111\u0103ng t\u1ea3i th\u00f4ng tin chi ti\u1ebft v\u1ec1 c\u00e1c kh\u00f3a h\u1ecdc, s\u1ef1 ki\u1ec7n v\u00e0 c\u01a1 h\u1ed9i h\u1ecdc t\u1eadp.", "text": "C\u00e2u h\u1ecfi: L\u00e0m th\u1ebf n\u00e0o \u0111\u1ec3 t\u00f4i c\u00f3 th\u1ec3 c\u1eadp nh\u1eadt th\u00f4ng tin m\u1edbi nh\u1ea5t v\u1ec1 c\u00e1c kh\u00f3a h\u1ecdc AI t\u1eeb VietAI?\nTr\u1ea3 l\u1eddi: \u0110\u1ec3 c\u1eadp nh\u1eadt th\u00f4ng tin m\u1edbi nh\u1ea5t v\u1ec1 c\u00e1c kh\u00f3a h\u1ecdc AI t\u1eeb VietAI, b\u1ea1n c\u00f3 th\u1ec3 truy c\u1eadp trang web vietai.org v\u00e0 xem c\u00e1c th\u00f4ng tin v\u00e0 kh\u00f3a h\u1ecdc \u0111ang m\u1edf. Ngo\u00e0i ra, b\u1ea1n c\u0169ng n\u00ean theo d\u00f5i fanpage c\u1ee7a VietAI tr\u00ean Facebook, v\u00ec h\u1ecd th\u01b0\u1eddng \u0111\u0103ng t\u1ea3i th\u00f4ng tin chi ti\u1ebft v\u1ec1 c\u00e1c kh\u00f3a h\u1ecdc, s\u1ef1 ki\u1ec7n v\u00e0 c\u01a1 h\u1ed9i h\u1ecdc t\u1eadp."}
{"question": "C\u00e2u h\u1ecfi: T\u00f4i mu\u1ed1n tham gia v\u00e0o c\u00e1c d\u1ef1 \u00e1n AI c\u1ee7a VietAI, l\u00e0m th\u1ebf n\u00e0o \u0111\u1ec3 t\u00f4i c\u00f3 th\u1ec3 l\u00e0m \u0111i\u1ec1u \u0111\u00f3?", "answer": "Tr\u1ea3 l\u1eddi: \u0110\u1ec3 tham gia v\u00e0o c\u00e1c d\u1ef1 \u00e1n AI c\u1ee7a VietAI, b\u1ea1n c\u00f3 th\u1ec3 b\u1eaft \u0111\u1ea7u b\u1eb1ng vi\u1ec7c g\u1eedi m\u1ed9t email t\u1edbi contact@vietai.org \u0111\u1ec3 th\u1ec3 hi\u1ec7n s\u1ef1 quan t\u00e2m v\u00e0 y\u00eau c\u1ea7u tham gia. VietAI s\u1ebd xem x\u00e9t y\u00eau c\u1ea7u c\u1ee7a b\u1ea1n v\u00e0 li\u00ean h\u1ec7 l\u1ea1i khi c\u00f3 c\u01a1 h\u1ed9i ph\u00f9 h\u1ee3p v\u1edbi k\u1ef9 n\u0103ng v\u00e0 mong mu\u1ed1n c\u1ee7a b\u1ea1n.", "text": "C\u00e2u h\u1ecfi: T\u00f4i mu\u1ed1n tham gia v\u00e0o c\u00e1c d\u1ef1 \u00e1n AI c\u1ee7a VietAI, l\u00e0m th\u1ebf n\u00e0o \u0111\u1ec3 t\u00f4i c\u00f3 th\u1ec3 l\u00e0m \u0111i\u1ec1u \u0111\u00f3?\nTr\u1ea3 l\u1eddi: \u0110\u1ec3 tham gia v\u00e0o c\u00e1c d\u1ef1 \u00e1n AI c\u1ee7a VietAI, b\u1ea1n c\u00f3 th\u1ec3 b\u1eaft \u0111\u1ea7u b\u1eb1ng vi\u1ec7c g\u1eedi m\u1ed9t email t\u1edbi contact@vietai.org \u0111\u1ec3 th\u1ec3 hi\u1ec7n s\u1ef1 quan t\u00e2m v\u00e0 y\u00eau c\u1ea7u tham gia. VietAI s\u1ebd xem x\u00e9t y\u00eau c\u1ea7u c\u1ee7a b\u1ea1n v\u00e0 li\u00ean h\u1ec7 l\u1ea1i khi c\u00f3 c\u01a1 h\u1ed9i ph\u00f9 h\u1ee3p v\u1edbi k\u1ef9 n\u0103ng v\u00e0 mong mu\u1ed1n c\u1ee7a b\u1ea1n."}
{"question": "C\u00e2u h\u1ecfi: L\u00e0m th\u1ebf n\u00e0o \u0111\u1ec3 t\u00f4i c\u00f3 th\u1ec3 li\u00ean h\u1ec7 v\u1edbi VietAI \u0111\u1ec3 \u0111\u01b0\u1ee3c h\u1ed7 tr\u1ee3 ho\u1eb7c \u0111\u1eb7t c\u00e2u h\u1ecfi?", "answer": "Tr\u1ea3 l\u1eddi: \u0110\u1ec3 li\u00ean h\u1ec7 v\u1edbi VietAI \u0111\u1ec3 \u0111\u01b0\u1ee3c h\u1ed7 tr\u1ee3 ho\u1eb7c \u0111\u1eb7t c\u00e2u h\u1ecfi, b\u1ea1n c\u00f3 th\u1ec3 g\u1eedi email \u0111\u1ebfn \u0111\u1ecba ch\u1ec9 contact@vietai.org. VietAI s\u1ebd s\u1edbm ph\u1ea3n h\u1ed3i v\u00e0 cung c\u1ea5p h\u1ed7 tr\u1ee3 ho\u1eb7c gi\u1ea3i \u0111\u00e1p m\u1ecdi c\u00e2u h\u1ecfi c\u1ee7a b\u1ea1n.", "text": "C\u00e2u h\u1ecfi: L\u00e0m th\u1ebf n\u00e0o \u0111\u1ec3 t\u00f4i c\u00f3 th\u1ec3 li\u00ean h\u1ec7 v\u1edbi VietAI \u0111\u1ec3 \u0111\u01b0\u1ee3c h\u1ed7 tr\u1ee3 ho\u1eb7c \u0111\u1eb7t c\u00e2u h\u1ecfi?\nTr\u1ea3 l\u1eddi: \u0110\u1ec3 li\u00ean h\u1ec7 v\u1edbi VietAI \u0111\u1ec3 \u0111\u01b0\u1ee3c h\u1ed7 tr\u1ee3 ho\u1eb7c \u0111\u1eb7t c\u00e2u h\u1ecfi, b\u1ea1n c\u00f3 th\u1ec3 g\u1eedi email \u0111\u1ebfn \u0111\u1ecba ch\u1ec9 contact@vietai.org. VietAI s\u1ebd s\u1edbm ph\u1ea3n h\u1ed3i v\u00e0 cung c\u1ea5p h\u1ed7 tr\u1ee3 ho\u1eb7c gi\u1ea3i \u0111\u00e1p m\u1ecdi c\u00e2u h\u1ecfi c\u1ee7a b\u1ea1n."}
{"question": "C\u00e2u h\u1ecfi: VietAI t\u1ed5 ch\u1ee9c nh\u1eefng s\u1ef1 ki\u1ec7n n\u00e0o li\u00ean quan \u0111\u1ebfn AI v\u00e0 l\u00e0m th\u1ebf n\u00e0o \u0111\u1ec3 t\u00f4i c\u00f3 th\u1ec3 tham gia?", "answer": "Tr\u1ea3 l\u1eddi: VietAI th\u01b0\u1eddng t\u1ed5 ch\u1ee9c c\u00e1c s\u1ef1 ki\u1ec7n li\u00ean quan \u0111\u1ebfn AI nh\u01b0 h\u1ed9i th\u1ea3o, bu\u1ed5i thuy\u1ebft tr\u00ecnh v\u00e0 workshop. \u0110\u1ec3 tham gia, b\u1ea1n n\u00ean th\u01b0\u1eddng xem x\u00e9t fanpage c\u1ee7a VietAI tr\u00ean Facebook \u0111\u1ec3 c\u1eadp nh\u1eadt th\u00f4ng tin v\u1ec1 c\u00e1c s\u1ef1 ki\u1ec7n s\u1eafp t\u1edbi v\u00e0 c\u00e1ch \u0111\u0103ng k\u00fd tham gia.", "text": "C\u00e2u h\u1ecfi: VietAI t\u1ed5 ch\u1ee9c nh\u1eefng s\u1ef1 ki\u1ec7n n\u00e0o li\u00ean quan \u0111\u1ebfn AI v\u00e0 l\u00e0m th\u1ebf n\u00e0o \u0111\u1ec3 t\u00f4i c\u00f3 th\u1ec3 tham gia?\nTr\u1ea3 l\u1eddi: VietAI th\u01b0\u1eddng t\u1ed5 ch\u1ee9c c\u00e1c s\u1ef1 ki\u1ec7n li\u00ean quan \u0111\u1ebfn AI nh\u01b0 h\u1ed9i th\u1ea3o, bu\u1ed5i thuy\u1ebft tr\u00ecnh v\u00e0 workshop. \u0110\u1ec3 tham gia, b\u1ea1n n\u00ean th\u01b0\u1eddng xem x\u00e9t fanpage c\u1ee7a VietAI tr\u00ean Facebook \u0111\u1ec3 c\u1eadp nh\u1eadt th\u00f4ng tin v\u1ec1 c\u00e1c s\u1ef1 ki\u1ec7n s\u1eafp t\u1edbi v\u00e0 c\u00e1ch \u0111\u0103ng k\u00fd tham gia."}
{"question": "C\u00e2u h\u1ecfi: T\u00f4i mu\u1ed1n bi\u1ebft th\u00eam chi ti\u1ebft v\u1ec1 c\u00e1c d\u1ef1 \u00e1n AI \u0111ang \u0111\u01b0\u1ee3c ph\u00e1t tri\u1ec3n b\u1edfi VietAI. L\u00e0m th\u1ebf n\u00e0o \u0111\u1ec3 t\u00f4i c\u00f3 th\u1ec3 t\u00ecm hi\u1ec3u?", "answer": "Tr\u1ea3 l\u1eddi: \u0110\u1ec3 bi\u1ebft th\u00eam chi ti\u1ebft v\u1ec1 c\u00e1c d\u1ef1 \u00e1n AI \u0111ang \u0111\u01b0\u1ee3c ph\u00e1t tri\u1ec3n b\u1edfi VietAI, b\u1ea1n c\u00f3 th\u1ec3 truy c\u1eadp trang web vietai.org v\u00e0 t\u00ecm ph\u1ea7n v\u1ec1 d\u1ef1 \u00e1n ho\u1eb7c nghi\u00ean c\u1ee9u. N\u1ebfu b\u1ea1n mu\u1ed1n t\u00ecm hi\u1ec3u c\u1ee5 th\u1ec3 h\u01a1n, b\u1ea1n c\u00f3 th\u1ec3 g\u1eedi email t\u1edbi contact@vietai.org \u0111\u1ec3 y\u00eau c\u1ea7u th\u00f4ng tin v\u1ec1 c\u00e1c d\u1ef1 \u00e1n v\u00e0 nghi\u00ean c\u1ee9u AI hi\u1ec7n t\u1ea1i.", "text": "C\u00e2u h\u1ecfi: T\u00f4i mu\u1ed1n bi\u1ebft th\u00eam chi ti\u1ebft v\u1ec1 c\u00e1c d\u1ef1 \u00e1n AI \u0111ang \u0111\u01b0\u1ee3c ph\u00e1t tri\u1ec3n b\u1edfi VietAI. L\u00e0m th\u1ebf n\u00e0o \u0111\u1ec3 t\u00f4i c\u00f3 th\u1ec3 t\u00ecm hi\u1ec3u?\nTr\u1ea3 l\u1eddi: \u0110\u1ec3 bi\u1ebft th\u00eam chi ti\u1ebft v\u1ec1 c\u00e1c d\u1ef1 \u00e1n AI \u0111ang \u0111\u01b0\u1ee3c ph\u00e1t tri\u1ec3n b\u1edfi VietAI, b\u1ea1n c\u00f3 th\u1ec3 truy c\u1eadp trang web vietai.org v\u00e0 t\u00ecm ph\u1ea7n v\u1ec1 d\u1ef1 \u00e1n ho\u1eb7c nghi\u00ean c\u1ee9u. N\u1ebfu b\u1ea1n mu\u1ed1n t\u00ecm hi\u1ec3u c\u1ee5 th\u1ec3 h\u01a1n, b\u1ea1n c\u00f3 th\u1ec3 g\u1eedi email t\u1edbi contact@vietai.org \u0111\u1ec3 y\u00eau c\u1ea7u th\u00f4ng tin v\u1ec1 c\u00e1c d\u1ef1 \u00e1n v\u00e0 nghi\u00ean c\u1ee9u AI hi\u1ec7n t\u1ea1i."}
{"question": "C\u00e2u h\u1ecfi: Advanced Natural Language Processing (ANLP) l\u00e0 g\u00ec?", "answer": "Tr\u1ea3 l\u1eddi: ANLP l\u00e0 m\u1ed9t kh\u00f3a h\u1ecdc chuy\u00ean s\u00e2u v\u1ec1 x\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean, y\u00eau c\u1ea7u ki\u1ebfn th\u1ee9c l\u1eadp tr\u00ecnh c\u0103n b\u1ea3n, \u0111\u1eb7c bi\u1ec7t l\u00e0 trong ng\u00f4n ng\u1eef Python, v\u00e0 ki\u1ebfn th\u1ee9c c\u01a1 b\u1ea3n v\u1ec1 Machine Learning nh\u01b0 Logistic Regression, Linear Regression, Hu\u1ea5n luy\u1ec7n m\u00f4 h\u00ecnh, \u0111\u00e1nh gi\u00e1 m\u00f4 h\u00ecnh m\u00e1y h\u1ecdc. Ngo\u00e0i ra, n\u1ebfu b\u1ea1n \u0111\u00e3 hi\u1ec3u v\u1ec1 deep learning, ch\u1eb3ng h\u1ea1n nh\u01b0 RNN, LSTM, ho\u1eb7c c\u00f3 kinh nghi\u1ec7m v\u1ec1 c\u00e1c b\u00e0i to\u00e1n ph\u00e2n lo\u1ea1i v\u0103n b\u1ea3n v\u00e0 d\u1ecbch v\u0103n b\u1ea3n, \u0111\u00f3 s\u1ebd l\u00e0 m\u1ed9t l\u1ee3i th\u1ebf.", "text": "C\u00e2u h\u1ecfi: Advanced Natural Language Processing (ANLP) l\u00e0 g\u00ec?\nTr\u1ea3 l\u1eddi: ANLP l\u00e0 m\u1ed9t kh\u00f3a h\u1ecdc chuy\u00ean s\u00e2u v\u1ec1 x\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean, y\u00eau c\u1ea7u ki\u1ebfn th\u1ee9c l\u1eadp tr\u00ecnh c\u0103n b\u1ea3n, \u0111\u1eb7c bi\u1ec7t l\u00e0 trong ng\u00f4n ng\u1eef Python, v\u00e0 ki\u1ebfn th\u1ee9c c\u01a1 b\u1ea3n v\u1ec1 Machine Learning nh\u01b0 Logistic Regression, Linear Regression, Hu\u1ea5n luy\u1ec7n m\u00f4 h\u00ecnh, \u0111\u00e1nh gi\u00e1 m\u00f4 h\u00ecnh m\u00e1y h\u1ecdc. Ngo\u00e0i ra, n\u1ebfu b\u1ea1n \u0111\u00e3 hi\u1ec3u v\u1ec1 deep learning, ch\u1eb3ng h\u1ea1n nh\u01b0 RNN, LSTM, ho\u1eb7c c\u00f3 kinh nghi\u1ec7m v\u1ec1 c\u00e1c b\u00e0i to\u00e1n ph\u00e2n lo\u1ea1i v\u0103n b\u1ea3n v\u00e0 d\u1ecbch v\u0103n b\u1ea3n, \u0111\u00f3 s\u1ebd l\u00e0 m\u1ed9t l\u1ee3i th\u1ebf."}
{"question": "C\u00e2u h\u1ecfi: T\u1ea1i sao ki\u1ebfn th\u1ee9c v\u1ec1 deep learning quan tr\u1ecdng trong vi\u1ec7c ti\u1ebfp c\u1eadn kh\u00f3a h\u1ecdc ANLP?", "answer": "Tr\u1ea3 l\u1eddi: Deep learning l\u00e0 m\u1ed9t ph\u1ea7n quan tr\u1ecdng c\u1ee7a ANLP v\u00ec n\u00f3 cung c\u1ea5p c\u00e1c c\u00f4ng c\u1ee5 m\u1ea1nh m\u1ebd \u0111\u1ec3 x\u1eed l\u00fd v\u00e0 hi\u1ec3u s\u00e2u v\u1ec1 ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean. C\u00e1c ki\u1ebfn th\u1ee9c v\u1ec1 deep learning nh\u01b0 RNN v\u00e0 LSTM gi\u00fap m\u00f4 h\u00ecnh hi\u1ec3u \u0111\u01b0\u1ee3c m\u1ed1i quan h\u1ec7 ph\u1ee9c t\u1ea1p trong v\u0103n b\u1ea3n v\u00e0 c\u1ea3i thi\u1ec7n kh\u1ea3 n\u0103ng d\u1ef1 \u0111o\u00e1n v\u00e0 x\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean.", "text": "C\u00e2u h\u1ecfi: T\u1ea1i sao ki\u1ebfn th\u1ee9c v\u1ec1 deep learning quan tr\u1ecdng trong vi\u1ec7c ti\u1ebfp c\u1eadn kh\u00f3a h\u1ecdc ANLP?\nTr\u1ea3 l\u1eddi: Deep learning l\u00e0 m\u1ed9t ph\u1ea7n quan tr\u1ecdng c\u1ee7a ANLP v\u00ec n\u00f3 cung c\u1ea5p c\u00e1c c\u00f4ng c\u1ee5 m\u1ea1nh m\u1ebd \u0111\u1ec3 x\u1eed l\u00fd v\u00e0 hi\u1ec3u s\u00e2u v\u1ec1 ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean. C\u00e1c ki\u1ebfn th\u1ee9c v\u1ec1 deep learning nh\u01b0 RNN v\u00e0 LSTM gi\u00fap m\u00f4 h\u00ecnh hi\u1ec3u \u0111\u01b0\u1ee3c m\u1ed1i quan h\u1ec7 ph\u1ee9c t\u1ea1p trong v\u0103n b\u1ea3n v\u00e0 c\u1ea3i thi\u1ec7n kh\u1ea3 n\u0103ng d\u1ef1 \u0111o\u00e1n v\u00e0 x\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean."}