{"id":477187,"date":"2023-08-09T09:08:44","date_gmt":"2023-08-09T09:08:44","guid":{"rendered":""},"modified":"2023-09-05T11:14:14","modified_gmt":"2023-09-05T11:14:14","slug":"fast-ai","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/vn\/wiki\/fast-ai\/","title":{"rendered":"AI nhanh"},"content":{"rendered":"<p>Fast AI l\u00e0 m\u1ed9t khung tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o (AI) ti\u00ean ti\u1ebfn, hi\u1ec7u qu\u1ea3 cao \u0111\u01b0\u1ee3c ph\u00e1t tri\u1ec3n v\u1edbi m\u1ee5c ti\u00eau d\u00e2n ch\u1ee7 h\u00f3a AI v\u00e0 h\u1ecdc m\u00e1y (ML). B\u1eb1ng c\u00e1ch l\u00e0m cho nh\u1eefng c\u00f4ng ngh\u1ec7 ti\u00ean ti\u1ebfn n\u00e0y tr\u1edf n\u00ean d\u1ec5 ti\u1ebfp c\u1eadn v\u00e0 th\u00e2n thi\u1ec7n h\u01a1n v\u1edbi ng\u01b0\u1eddi d\u00f9ng, Fast AI nh\u1eb1m m\u1ee5c \u0111\u00edch trao quy\u1ec1n cho c\u00e1c c\u00e1 nh\u00e2n, t\u1ed5 ch\u1ee9c v\u00e0 nh\u00e0 nghi\u00ean c\u1ee9u khai th\u00e1c s\u1ee9c m\u1ea1nh c\u1ee7a AI v\u00e0 ML m\u00e0 kh\u00f4ng y\u00eau c\u1ea7u chuy\u00ean m\u00f4n k\u1ef9 thu\u1eadt chuy\u00ean s\u00e2u.<\/p>\n<h2>Ngu\u1ed3n g\u1ed1c v\u00e0 s\u1ef1 ph\u00e1t tri\u1ec3n c\u1ee7a AI nhanh<\/h2>\n<p>Fast AI l\u1ea7n \u0111\u1ea7u ti\u00ean \u0111\u01b0\u1ee3c \u0111\u1ec1 c\u1eadp v\u00e0 gi\u1edbi thi\u1ec7u b\u1edfi Jeremy Howard v\u00e0 Rachel Thomas v\u00e0o n\u0103m 2017. C\u1ea3 Howard v\u00e0 Thomas, nh\u1eefng nh\u00e2n v\u1eadt n\u1ed5i ti\u1ebfng trong l\u0129nh v\u1ef1c khoa h\u1ecdc d\u1eef li\u1ec7u v\u00e0 AI, \u0111\u1ec1u c\u00f3 t\u1ea7m nh\u00ecn v\u1ec1 vi\u1ec7c gi\u00fap t\u1ea5t c\u1ea3 m\u1ecdi ng\u01b0\u1eddi c\u00f3 th\u1ec3 ti\u1ebfp c\u1eadn v\u00e0 tri\u1ec3n khai gi\u00e1o d\u1ee5c AI. V\u1edbi suy ngh\u0129 n\u00e0y, h\u1ecd \u0111\u00e3 thi\u1ebft k\u1ebf Fast AI nh\u01b0 m\u1ed9t th\u01b0 vi\u1ec7n d\u1ec5 s\u1eed d\u1ee5ng \u0111\u01b0\u1ee3c x\u00e2y d\u1ef1ng d\u1ef1a tr\u00ean PyTorch, m\u1ed9t khung m\u00e1y h\u1ecdc ngu\u1ed3n m\u1edf.<\/p>\n<p>Fast AI \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf \u0111\u1ec3 cung c\u1ea5p giao di\u1ec7n c\u1ea5p cao, d\u1ec5 s\u1eed d\u1ee5ng cho PyTorch trong khi v\u1eabn duy tr\u00ec s\u1ee9c m\u1ea1nh v\u00e0 t\u00ednh linh ho\u1ea1t c\u1ee7a n\u00f3. N\u00f3i c\u00e1ch kh\u00e1c, Fast AI nh\u1eb1m m\u1ee5c \u0111\u00edch \u0111\u01a1n gi\u1ea3n h\u00f3a vi\u1ec7c \u00e1p d\u1ee5ng c\u00e1c m\u00f4 h\u00ecnh v\u00e0 k\u1ef9 thu\u1eadt ML ti\u00ean ti\u1ebfn m\u00e0 kh\u00f4ng \u1ea3nh h\u01b0\u1edfng \u0111\u1ebfn ch\u1ee9c n\u0103ng ho\u1eb7c \u0111\u1ed9 m\u1ea1nh m\u1ebd c\u1ee7a ch\u00fang.<\/p>\n<h2>Gi\u1ea3i n\u00e9n AI nhanh: Kh\u00e1m ph\u00e1 chi ti\u1ebft<\/h2>\n<p>AI nhanh l\u00e0 m\u1ed9t th\u01b0 vi\u1ec7n n\u0103ng \u0111\u1ed9ng v\u00e0 linh ho\u1ea1t cho vi\u1ec7c h\u1ecdc s\u00e2u. Th\u01b0 vi\u1ec7n cung c\u1ea5p giao di\u1ec7n \u0111\u01a1n gi\u1ea3n h\u00f3a \u0111\u1ec3 x\u00e2y d\u1ef1ng v\u00e0 \u0111\u00e0o t\u1ea1o c\u00e1c m\u00f4 h\u00ecnh h\u1ecdc m\u00e1y ph\u1ee9c t\u1ea1p b\u1eb1ng nhi\u1ec1u thu\u1eadt to\u00e1n v\u00e0 k\u1ef9 thu\u1eadt kh\u00e1c nhau. N\u00f3 \u0111\u00e3 tr\u1edf n\u00ean ph\u1ed5 bi\u1ebfn v\u00ec t\u00ednh th\u00e2n thi\u1ec7n v\u1edbi ng\u01b0\u1eddi d\u00f9ng v\u00e0 kh\u1ea3 n\u0103ng t\u1ea1o ra c\u00e1c k\u1ebft qu\u1ea3 hi\u1ec7n \u0111\u1ea1i v\u1edbi m\u00e3 h\u00f3a t\u1ed1i thi\u1ec3u.<\/p>\n<p>Fast AI cung c\u1ea5p API c\u1ea5p cao cho c\u00e1c t\u00e1c v\u1ee5 nh\u01b0 ph\u00e2n lo\u1ea1i h\u00ecnh \u1ea3nh, ph\u00e2n lo\u1ea1i v\u0103n b\u1ea3n, l\u1eadp m\u00f4 h\u00ecnh d\u1ea1ng b\u1ea3ng v\u00e0 l\u1ecdc c\u1ed9ng t\u00e1c. V\u1edbi nh\u1eefng c\u00f4ng c\u1ee5 n\u00e0y, ng\u01b0\u1eddi d\u00f9ng c\u00f3 th\u1ec3 x\u00e2y d\u1ef1ng, hu\u1ea5n luy\u1ec7n v\u00e0 th\u1eed nghi\u1ec7m c\u00e1c m\u00f4 h\u00ecnh ch\u1ec9 b\u1eb1ng m\u1ed9t v\u00e0i d\u00f2ng m\u00e3. H\u01a1n n\u1eefa, Fast AI tri\u1ec3n khai c\u00e1c ph\u01b0\u01a1ng ph\u00e1p th\u1ef1c h\u00e0nh t\u1ed1t nh\u1ea5t cho machine learning v\u00e0 deep learning, gi\u00fap ng\u01b0\u1eddi d\u00f9ng d\u1ec5 d\u00e0ng \u00e1p d\u1ee5ng c\u00e1c k\u1ef9 thu\u1eadt n\u00e0y m\u1ed9t c\u00e1ch hi\u1ec7u qu\u1ea3 h\u01a1n.<\/p>\n<h2>Ho\u1ea1t \u0111\u1ed9ng b\u00ean trong c\u1ee7a AI nhanh<\/h2>\n<p>AI nhanh \u0111\u01a1n gi\u1ea3n h\u00f3a c\u00e1c nhi\u1ec7m v\u1ee5 h\u1ecdc s\u00e2u ph\u1ee9c t\u1ea1p b\u1eb1ng c\u00e1ch cung c\u1ea5p c\u00e1c API c\u1ea5p cao, th\u00e2n thi\u1ec7n v\u1edbi ng\u01b0\u1eddi d\u00f9ng \u0111\u1ec3 x\u00e2y d\u1ef1ng v\u00e0 \u0111\u00e0o t\u1ea1o m\u00f4 h\u00ecnh. Trong n\u1ed9i b\u1ed9, Fast AI s\u1eed d\u1ee5ng khung deep learning m\u1ea1nh m\u1ebd v\u00e0 linh ho\u1ea1t c\u1ee7a PyTorch.<\/p>\n<p>PyTorch cung c\u1ea5p c\u00e1c kh\u1ed1i x\u00e2y d\u1ef1ng c\u01a1 b\u1ea3n \u0111\u1ec3 t\u1ea1o m\u1ea1ng l\u01b0\u1edbi th\u1ea7n kinh, ch\u1eb3ng h\u1ea1n nh\u01b0 tensor, l\u1edbp v\u00e0 h\u00e0m m\u1ea5t m\u00e1t. Ngo\u00e0i ra, Fast AI c\u00f2n b\u1ed5 sung th\u00eam m\u1ed9t l\u1edbp tr\u1eebu t\u01b0\u1ee3ng gi\u00fap \u0111\u01a1n gi\u1ea3n h\u00f3a nhi\u1ec1u t\u00e1c v\u1ee5 ph\u1ed5 bi\u1ebfn trong h\u1ecdc s\u00e2u. V\u00ed d\u1ee5: Fast AI cung c\u1ea5p c\u00e1c ch\u1ee9c n\u0103ng d\u1ec5 s\u1eed d\u1ee5ng \u0111\u1ec3 t\u1ea3i v\u00e0 t\u0103ng c\u01b0\u1eddng d\u1eef li\u1ec7u, x\u00e2y d\u1ef1ng m\u00f4 h\u00ecnh, \u0111\u00e0o t\u1ea1o v\u00e0 x\u00e1c th\u1ef1c m\u00f4 h\u00ecnh c\u0169ng nh\u01b0 ph\u00e2n t\u00edch k\u1ebft qu\u1ea3.<\/p>\n<p>Fast AI \u0111\u1ea1t \u0111\u01b0\u1ee3c ch\u1ee9c n\u0103ng n\u00e0y th\u00f4ng qua hai th\u00e0nh ph\u1ea7n ch\u00ednh: API ph\u00e2n l\u1edbp v\u00e0 c\u00f4ng c\u1ee5 t\u00ecm t\u1ed1c \u0111\u1ed9 h\u1ecdc t\u1eadp. API ph\u00e2n l\u1edbp cho ph\u00e9p ng\u01b0\u1eddi d\u00f9ng l\u00e0m vi\u1ec7c \u1edf c\u00e1c m\u1ee9c \u0111\u1ed9 tr\u1eebu t\u01b0\u1ee3ng kh\u00e1c nhau, t\u00f9y thu\u1ed9c v\u00e0o nhu c\u1ea7u c\u1ee7a h\u1ecd. C\u00f4ng c\u1ee5 t\u00ecm t\u1ed1c \u0111\u1ed9 h\u1ecdc l\u00e0 m\u1ed9t c\u00f4ng c\u1ee5 gi\u00fap ng\u01b0\u1eddi d\u00f9ng ch\u1ecdn t\u1ed1c \u0111\u1ed9 h\u1ecdc t\u1ed1i \u01b0u \u0111\u1ec3 hu\u1ea5n luy\u1ec7n m\u00f4 h\u00ecnh c\u1ee7a h\u1ecd, \u0111i\u1ec1u n\u00e0y c\u00f3 th\u1ec3 c\u1ea3i thi\u1ec7n \u0111\u00e1ng k\u1ec3 hi\u1ec7u su\u1ea5t.<\/p>\n<h2>C\u00e1c t\u00ednh n\u0103ng ch\u00ednh c\u1ee7a AI nhanh<\/h2>\n<p>Fast AI \u0111i k\u00e8m v\u1edbi m\u1ed9t lo\u1ea1t c\u00e1c t\u00ednh n\u0103ng quan tr\u1ecdng \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf \u0111\u1ec3 n\u00e2ng cao c\u00e1c t\u00e1c v\u1ee5 h\u1ecdc m\u00e1y:<\/p>\n<ul>\n<li><strong>API l\u1edbp<\/strong>: Cho ph\u00e9p ng\u01b0\u1eddi d\u00f9ng ch\u1ecdn m\u1ee9c \u0111\u1ed9 tr\u1eebu t\u01b0\u1ee3ng m\u00e0 h\u1ecd th\u00edch, mang l\u1ea1i s\u1ef1 linh ho\u1ea1t v\u00e0 kh\u1ea3 n\u0103ng ki\u1ec3m so\u00e1t cao h\u01a1n.<\/li>\n<li><strong>C\u00f4ng c\u1ee5 t\u00ecm t\u1ef7 l\u1ec7 h\u1ecdc t\u1eadp<\/strong>: Gi\u00fap t\u1ed1i \u01b0u h\u00f3a qu\u00e1 tr\u00ecnh \u0111\u00e0o t\u1ea1o m\u00f4 h\u00ecnh b\u1eb1ng c\u00e1ch t\u00ecm ra t\u1ed1c \u0111\u1ed9 h\u1ecdc t\u1ed1t nh\u1ea5t.<\/li>\n<li><strong>Chuy\u1ec3n ti\u1ebfp h\u1ecdc t\u1eadp<\/strong>: Cho ph\u00e9p ng\u01b0\u1eddi d\u00f9ng t\u1eadn d\u1ee5ng c\u00e1c m\u00f4 h\u00ecnh \u0111\u01b0\u1ee3c \u0111\u00e0o t\u1ea1o tr\u01b0\u1edbc \u0111\u1ec3 \u0111\u1ea1t \u0111\u01b0\u1ee3c hi\u1ec7u su\u1ea5t t\u1ed1t h\u01a1n v\u1edbi \u00edt d\u1eef li\u1ec7u v\u00e0 t\u00ednh to\u00e1n h\u01a1n.<\/li>\n<li><strong>T\u00edch h\u1ee3p v\u1edbi PyTorch<\/strong>: Cung c\u1ea5p quy\u1ec1n truy c\u1eadp v\u00e0o to\u00e0n b\u1ed9 s\u1ee9c m\u1ea1nh v\u00e0 t\u00ednh linh ho\u1ea1t c\u1ee7a PyTorch.<\/li>\n<li><strong>Th\u1ef1c h\u00e0nh t\u1ed1t nh\u1ea5t<\/strong>: Tri\u1ec3n khai c\u00e1c ph\u01b0\u01a1ng ph\u00e1p hay nh\u1ea5t cho deep learning, gi\u00fap ng\u01b0\u1eddi d\u00f9ng x\u00e2y d\u1ef1ng c\u00e1c m\u00f4 h\u00ecnh hi\u1ec7u qu\u1ea3 d\u1ec5 d\u00e0ng h\u01a1n.<\/li>\n<\/ul>\n<h2>C\u00e1c lo\u1ea1i AI nhanh: Ph\u00e2n lo\u1ea1i v\u00e0 v\u00ed d\u1ee5<\/h2>\n<p>M\u1eb7c d\u00f9 Fast AI l\u00e0 m\u1ed9t khung th\u1ed1ng nh\u1ea5t duy nh\u1ea5t nh\u01b0ng n\u00f3 cung c\u1ea5p m\u1ed9t b\u1ed9 c\u00f4ng c\u1ee5 v\u00e0 kh\u1ea3 n\u0103ng \u0111\u1ec3 x\u1eed l\u00fd nhi\u1ec1u lo\u1ea1i d\u1eef li\u1ec7u v\u00e0 t\u00e1c v\u1ee5 kh\u00e1c nhau. D\u01b0\u1edbi \u0111\u00e2y l\u00e0 m\u1ed9t c\u00e1i nh\u00ecn t\u1ed5ng quan:<\/p>\n<table>\n<thead>\n<tr>\n<th>Lo\u1ea1i d\u1eef li\u1ec7u<\/th>\n<th>M\u00f4-\u0111un AI nhanh<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>H\u00ecnh \u1ea3nh<\/td>\n<td>t\u1ea7m nh\u00ecn<\/td>\n<\/tr>\n<tr>\n<td>Ch\u1eef<\/td>\n<td>ch\u1eef<\/td>\n<\/tr>\n<tr>\n<td>D\u1eef li\u1ec7u d\u1ea1ng b\u1ea3ng<\/td>\n<td>d\u1ea1ng b\u1ea3ng<\/td>\n<\/tr>\n<tr>\n<td>H\u1ec7 th\u1ed1ng khuy\u1ebfn ngh\u1ecb (l\u1ecdc c\u1ed9ng t\u00e1c)<\/td>\n<td>c\u1ed9ng t\u00e1c<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>M\u1ed7i m\u00f4-\u0111un cung c\u1ea5p m\u1ed9t t\u1eadp h\u1ee3p c\u00e1c ch\u1ee9c n\u0103ng c\u1ea5p cao \u0111\u1ec3 x\u00e2y d\u1ef1ng, \u0111\u00e0o t\u1ea1o v\u00e0 \u0111\u00e1nh gi\u00e1 c\u00e1c m\u00f4 h\u00ecnh tr\u00ean lo\u1ea1i d\u1eef li\u1ec7u t\u01b0\u01a1ng \u1ee9ng.<\/p>\n<h2>S\u1eed d\u1ee5ng AI nhanh: C\u00e1c v\u1ea5n \u0111\u1ec1 v\u00e0 gi\u1ea3i ph\u00e1p<\/h2>\n<p>AI nhanh c\u00f3 c\u00e1c \u1ee9ng d\u1ee5ng r\u1ed9ng r\u00e3i, t\u1eeb h\u1ecdc vi\u1ec7n v\u00e0 nghi\u00ean c\u1ee9u \u0111\u1ebfn c\u00e1c ng\u00e0nh nh\u01b0 ch\u0103m s\u00f3c s\u1ee9c kh\u1ecfe, th\u01b0\u01a1ng m\u1ea1i \u0111i\u1ec7n t\u1eed v\u00e0 xe t\u1ef1 h\u00e0nh. Tuy nhi\u00ean, gi\u1ed1ng nh\u01b0 b\u1ea5t k\u1ef3 c\u00f4ng c\u1ee5 n\u00e0o, n\u00f3 c\u00f3 th\u1ec3 \u0111\u01b0a ra nh\u1eefng th\u00e1ch th\u1ee9c. V\u00ed d\u1ee5: m\u1eb7c d\u00f9 API c\u1ea5p cao \u0111\u01a1n gi\u1ea3n h\u00f3a nhi\u1ec1u t\u00e1c v\u1ee5 nh\u01b0ng \u0111\u00f4i khi vi\u1ec7c t\u00f9y ch\u1ec9nh ho\u1eb7c g\u1ee1 l\u1ed7i c\u00e1c m\u00f4 h\u00ecnh c\u00f3 th\u1ec3 g\u1eb7p kh\u00f3 kh\u0103n do m\u1ee9c \u0111\u1ed9 tr\u1eebu t\u01b0\u1ee3ng.<\/p>\n<p>M\u1ed9t gi\u1ea3i ph\u00e1p cho v\u1ea5n \u0111\u1ec1 n\u00e0y l\u00e0 API ph\u00e2n l\u1edbp, cho ph\u00e9p ng\u01b0\u1eddi d\u00f9ng ch\u1ecdn m\u1ee9c \u0111\u1ed9 tr\u1eebu t\u01b0\u1ee3ng c\u1ee7a h\u1ecd. \u0110\u1ed1i v\u1edbi c\u00e1c t\u00e1c v\u1ee5 \u0111\u01a1n gi\u1ea3n h\u01a1n, c\u00f3 th\u1ec3 s\u1eed d\u1ee5ng API c\u1ea5p cao, trong khi \u0111\u1ed1i v\u1edbi c\u00e1c t\u00e1c v\u1ee5 ph\u1ee9c t\u1ea1p h\u01a1n y\u00eau c\u1ea7u t\u00f9y ch\u1ec9nh, ng\u01b0\u1eddi d\u00f9ng c\u00f3 th\u1ec3 l\u00e0m vi\u1ec7c tr\u1ef1c ti\u1ebfp v\u1edbi PyTorch th\u00f4ng qua API c\u1ea5p th\u1ea5p.<\/p>\n<h2>So s\u00e1nh v\u00e0 \u0111\u1eb7c \u0111i\u1ec3m: AI nhanh so v\u1edbi c\u00e1c khung kh\u00e1c<\/h2>\n<p>Fast AI, TensorFlow v\u00e0 Keras \u0111\u1ec1u l\u00e0 nh\u1eefng framework m\u1ea1nh m\u1ebd cho deep learning. Tuy nhi\u00ean, m\u1ed7i lo\u1ea1i \u0111\u1ec1u c\u00f3 \u0111i\u1ec3m m\u1ea1nh v\u00e0 \u0111i\u1ec3m y\u1ebfu:<\/p>\n<table>\n<thead>\n<tr>\n<th>Khung<\/th>\n<th>D\u1ec5 s\u1eed d\u1ee5ng<\/th>\n<th>Uy\u1ec3n chuy\u1ec3n<\/th>\n<th>\u0110\u01b0\u1eddng cong h\u1ecdc t\u1eadp<\/th>\n<th>Ng\u01b0\u1eddi m\u1eabu \u0111\u01b0\u1ee3c \u0111\u00e0o t\u1ea1o tr\u01b0\u1edbc<\/th>\n<th>T\u1ed1t nh\u1ea5t cho<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>AI nhanh<\/td>\n<td>Cao<\/td>\n<td>Cao<\/td>\n<td>Th\u1ea5p<\/td>\n<td>Nhi\u1ec1u<\/td>\n<td>Ng\u01b0\u1eddi m\u1edbi b\u1eaft \u0111\u1ea7u v\u00e0 ng\u01b0\u1eddi d\u00f9ng n\u00e2ng cao<\/td>\n<\/tr>\n<tr>\n<td>D\u00f2ng ch\u1ea3y c\u0103ng<\/td>\n<td>Trung b\u00ecnh<\/td>\n<td>Cao<\/td>\n<td>Cao<\/td>\n<td>Nhi\u1ec1u<\/td>\n<td>Ng\u01b0\u1eddi d\u00f9ng cao c\u1ea5p<\/td>\n<\/tr>\n<tr>\n<td>m\u00e1y \u1ea3nh<\/td>\n<td>Cao<\/td>\n<td>Trung b\u00ecnh<\/td>\n<td>Th\u1ea5p<\/td>\n<td>M\u1ed9t v\u00e0i<\/td>\n<td>Ng\u01b0\u1eddi m\u1edbi b\u1eaft \u0111\u1ea7u<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>M\u1eb7c d\u00f9 TensorFlow mang \u0111\u1ebfn s\u1ef1 linh ho\u1ea1t tuy\u1ec7t v\u1eddi nh\u01b0ng n\u00f3 c\u00f3 \u0111\u01b0\u1eddng cong h\u1ecdc t\u1eadp d\u1ed1c h\u01a1n. Keras th\u00e2n thi\u1ec7n v\u1edbi ng\u01b0\u1eddi d\u00f9ng nh\u01b0ng kh\u00f4ng cung c\u1ea5p nhi\u1ec1u quy\u1ec1n ki\u1ec3m so\u00e1t. AI nhanh t\u1ea1o ra s\u1ef1 c\u00e2n b\u1eb1ng gi\u1eefa t\u00ednh d\u1ec5 s\u1eed d\u1ee5ng v\u00e0 t\u00ednh linh ho\u1ea1t, khi\u1ebfn n\u00f3 tr\u1edf th\u00e0nh l\u1ef1a ch\u1ecdn ph\u00f9 h\u1ee3p cho c\u1ea3 ng\u01b0\u1eddi m\u1edbi b\u1eaft \u0111\u1ea7u v\u00e0 ng\u01b0\u1eddi d\u00f9ng n\u00e2ng cao.<\/p>\n<h2>Tri\u1ec3n v\u1ecdng t\u01b0\u01a1ng lai: AI nhanh v\u00e0 c\u00e1c c\u00f4ng ngh\u1ec7 m\u1edbi n\u1ed5i<\/h2>\n<p>AI nhanh, gi\u1ed1ng nh\u01b0 l\u0129nh v\u1ef1c tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o, kh\u00f4ng ng\u1eebng ph\u00e1t tri\u1ec3n. C\u00e1c c\u00f4ng ngh\u1ec7 m\u1edbi n\u1ed5i nh\u01b0 h\u1ecdc t\u1eadp li\u00ean k\u1ebft, h\u1ecdc m\u00e1y t\u1ef1 \u0111\u1ed9ng v\u00e0 \u0111i\u1ec7n to\u00e1n l\u01b0\u1ee3ng t\u1eed \u0111\u00e3 s\u1eb5n s\u00e0ng c\u00e1ch m\u1ea1ng h\u00f3a b\u1ed1i c\u1ea3nh AI. Khi c\u00e1c c\u00f4ng ngh\u1ec7 n\u00e0y tr\u01b0\u1edfng th\u00e0nh, ch\u00fang ta c\u00f3 th\u1ec3 mong \u0111\u1ee3i AI nhanh s\u1ebd k\u1ebft h\u1ee3p nh\u1eefng ti\u1ebfn b\u1ed9 n\u00e0y, \u0111\u01a1n gi\u1ea3n h\u00f3a h\u01a1n n\u1eefa qu\u00e1 tr\u00ecnh x\u00e2y d\u1ef1ng v\u00e0 \u0111\u00e0o t\u1ea1o c\u00e1c m\u00f4 h\u00ecnh AI ph\u1ee9c t\u1ea1p.<\/p>\n<h2>M\u00e1y ch\u1ee7 proxy v\u00e0 AI nhanh: S\u1ee9c m\u1ea1nh t\u1ed5ng h\u1ee3p ch\u01b0a \u0111\u01b0\u1ee3c kh\u00e1m ph\u00e1<\/h2>\n<p>M\u00e1y ch\u1ee7 proxy \u0111\u00f3ng vai tr\u00f2 trung gian gi\u1eefa m\u00e1y kh\u00e1ch v\u00e0 m\u00e1y ch\u1ee7, cung c\u1ea5p nhi\u1ec1u ch\u1ee9c n\u0103ng kh\u00e1c nhau nh\u01b0 b\u1ed9 nh\u1edb \u0111\u1ec7m d\u1eef li\u1ec7u, l\u1ecdc web v\u00e0 che IP. M\u1eb7c d\u00f9 tho\u1ea1t nh\u00ecn c\u00f3 v\u1ebb nh\u01b0 kh\u00f4ng c\u00f3 m\u1ed1i t\u01b0\u01a1ng quan tr\u1ef1c ti\u1ebfp gi\u1eefa Fast AI v\u00e0 m\u00e1y ch\u1ee7 proxy, nh\u01b0ng v\u1eabn c\u00f3 th\u1ec3 c\u00f3 nh\u1eefng tr\u01b0\u1eddng h\u1ee3p s\u1eed d\u1ee5ng ti\u1ec1m n\u0103ng.<\/p>\n<p>M\u1ed9t tr\u01b0\u1eddng h\u1ee3p s\u1eed d\u1ee5ng nh\u01b0 v\u1eady c\u00f3 th\u1ec3 l\u00e0 thu th\u1eadp d\u1eef li\u1ec7u cho c\u00e1c m\u00f4 h\u00ecnh h\u1ecdc m\u00e1y. M\u00e1y ch\u1ee7 proxy c\u00f3 th\u1ec3 t\u1ea1o \u0111i\u1ec1u ki\u1ec7n truy c\u1eadp v\u00e0o d\u1eef li\u1ec7u b\u1ecb gi\u1edbi h\u1ea1n \u0111\u1ecba l\u00fd, sau \u0111\u00f3 c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng cho c\u00e1c m\u00f4 h\u00ecnh \u0111\u00e0o t\u1ea1o. \u0110i\u1ec1u n\u00e0y c\u00f3 th\u1ec3 \u0111\u1eb7c bi\u1ec7t h\u1eefu \u00edch khi x\u00e2y d\u1ef1ng c\u00e1c m\u00f4 h\u00ecnh y\u00eau c\u1ea7u th\u00f4ng tin v\u1ecb tr\u00ed c\u1ee5 th\u1ec3.<\/p>\n<h2>Li\u00ean k\u1ebft li\u00ean quan<\/h2>\n<ul>\n<li><a href=\"https:\/\/www.fast.ai\/\" target=\"_new\" rel=\"noopener nofollow\">Trang web ch\u00ednh th\u1ee9c c\u1ee7a Fast AI<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/fastai\" target=\"_new\" rel=\"noopener nofollow\">Kho l\u01b0u tr\u1eef AI GitHub nhanh<\/a><\/li>\n<li><a href=\"https:\/\/course.fast.ai\/\" target=\"_new\" rel=\"noopener nofollow\">Kh\u00f3a h\u1ecdc AI c\u1ea5p t\u1ed1c<\/a><\/li>\n<li><a href=\"https:\/\/pytorch.org\/\" target=\"_new\" rel=\"noopener nofollow\">Trang web ch\u00ednh th\u1ee9c c\u1ee7a PyTorch<\/a><\/li>\n<\/ul>\n<p>Fast AI cung c\u1ea5p m\u1ed9t c\u00f4ng c\u1ee5 m\u1ea1nh m\u1ebd, linh ho\u1ea1t v\u00e0 th\u00e2n thi\u1ec7n v\u1edbi ng\u01b0\u1eddi d\u00f9ng \u0111\u1ec3 h\u1ecdc s\u00e2u, m\u1edf ra c\u00e1nh c\u1eeda b\u01b0\u1edbc v\u00e0o th\u1ebf gi\u1edbi AI cho c\u1ea3 ng\u01b0\u1eddi m\u1edbi b\u1eaft \u0111\u1ea7u c\u0169ng nh\u01b0 c\u00e1c chuy\u00ean gia. V\u1edbi s\u1ef1 ph\u00e1t tri\u1ec3n kh\u00f4ng ng\u1eebng v\u00e0 l\u0129nh v\u1ef1c AI ng\u00e0y c\u00e0ng ph\u00e1t tri\u1ec3n, Fast AI ch\u1eafc ch\u1eafn l\u00e0 m\u1ed9t c\u00f4ng c\u1ee5 \u0111\u00e1ng ch\u00fa \u00fd trong nh\u1eefng n\u0103m t\u1edbi.<\/p>","protected":false},"featured_media":468374,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-477187","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Fast AI: An Introduction to Speed and Intelligence in Computing<\/mark>","faq_items":[{"question":"What is Fast AI?","answer":"<p>Fast AI is a high-efficiency, user-friendly artificial intelligence (AI) framework aimed at democratizing AI and machine learning. It simplifies the process of building and training advanced machine learning models without the need for deep technical expertise.<\/p>"},{"question":"Who developed Fast AI and when was it first introduced?","answer":"<p>Fast AI was developed and introduced by Jeremy Howard and Rachel Thomas in 2017. Both are recognized figures in the field of AI and data science and they created Fast AI with the vision of making AI education and implementation accessible to everyone.<\/p>"},{"question":"How does Fast AI work?","answer":"<p>Fast AI provides a simplified interface for building and training complex machine learning models using various algorithms and techniques. It uses PyTorch's robust and flexible deep learning framework internally. It adds a layer of abstraction that simplifies many common tasks in deep learning such as loading and augmenting data, constructing models, training and validating models, and analyzing results.<\/p>"},{"question":"What are the key features of Fast AI?","answer":"<p>The key features of Fast AI include a Layered API for choosing the level of abstraction, a Learning rate finder for optimizing the model training process, Transfer learning capabilities to leverage pre-trained models, Integration with PyTorch for added flexibility and power, and the implementation of best practices for deep learning.<\/p>"},{"question":"What types of Fast AI exist?","answer":"<p>Fast AI provides a suite of tools and capabilities for handling various types of data and tasks. It offers modules for different types of data including images (vision), text (text), tabular data (tabular), and collaborative filtering for recommendation systems (collab).<\/p>"},{"question":"What are some problems and solutions related to using Fast AI?","answer":"<p>While Fast AI's high-level API simplifies many tasks, it can sometimes be difficult to customize or debug models due to the level of abstraction. The layered API of Fast AI, which allows users to choose their level of abstraction, provides a solution to this problem.<\/p>"},{"question":"How does Fast AI compare with similar frameworks like TensorFlow and Keras?","answer":"<p>While all three are powerful frameworks, Fast AI strikes a balance between ease of use and flexibility, making it suitable for both beginners and advanced users. TensorFlow offers great flexibility but has a steeper learning curve, while Keras is user-friendly but offers less control.<\/p>"},{"question":"What are the future prospects related to Fast AI?","answer":"<p>Fast AI, like AI itself, is continually evolving. Emerging technologies like federated learning, automated machine learning, and quantum computing are expected to revolutionize AI, and Fast AI is likely to incorporate these advancements in the future.<\/p>"},{"question":"How can proxy servers be used with Fast AI?","answer":"<p>Proxy servers, which act as intermediaries between clients and servers, can facilitate access to geo-restricted data for training machine learning models in Fast AI. This can be particularly useful when building models that require location-specific information.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki\/477187","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki\/477187\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media\/468374"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media?parent=477187"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}