{"id":3970,"date":"2024-08-21T19:22:47","date_gmt":"2024-08-21T18:22:47","guid":{"rendered":"https:\/\/cafe2sach.com\/?p=3970"},"modified":"2024-08-29T02:58:08","modified_gmt":"2024-08-29T01:58:08","slug":"xay-dung-mo-hinh-ngon-ngu-lon-tu-cac-buoc-co-ban","status":"publish","type":"post","link":"https:\/\/cafe2sach.com\/index.php\/2024\/08\/21\/xay-dung-mo-hinh-ngon-ngu-lon-tu-cac-buoc-co-ban\/","title":{"rendered":"L\u00e0m Th\u1ebf N\u00e0o \u0110\u1ec3 X\u00e2y D\u1ef1ng M\u00f4 H\u00ecnh Ng\u00f4n Ng\u1eef L\u1edbn: H\u01b0\u1edbng D\u1eabn C\u01a1 B\u1ea3n"},"content":{"rendered":"

C\u00e1c m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef l\u1edbn (LLM) cung c\u1ea5p s\u1ee9c m\u1ea1nh cho c\u00e1c c\u00f4ng c\u1ee5 AI ti\u00ean ti\u1ebfn nh\u01b0 ch\u00fang ta th\u1ea5y\u00a0 ChatGPT, Bard v\u00e0 Copilot d\u01b0\u1eddng nh\u01b0 l\u00e0 m\u1ed9t \u0111i\u1ec1u k\u1ef3 di\u1ec7u. Tuy nhi\u00ean,\u00a0 ch\u00fang kh\u00f4ng ph\u1ea3i l\u00e0 ph\u00e9p thu\u1eadt. B\u00e0i vi\u1ebft n\u00e0y s\u1ebd gi\u1ea3i m\u00e3 c\u00e1c LLM b\u1eb1ng c\u00e1ch h\u01b0\u1edbng d\u1eabn b\u1ea1n x\u00e2y d\u1ef1ng m\u1ed9t m\u00f4 h\u00ecnh c\u1ee7a ri\u00eang m\u00ecnh t\u1eeb \u0111\u1ea7u.<\/p>\n

B\u1ea1n s\u1ebd c\u00f3 c\u00e1i nh\u00ecn s\u00e2u s\u1eafc v\u00e0 qu\u00fd gi\u00e1 v\u1ec1 c\u00e1ch LLM ho\u1ea1t \u0111\u1ed9ng, h\u1ecdc c\u00e1ch \u0111\u00e1nh gi\u00e1 ch\u1ea5t l\u01b0\u1ee3ng c\u1ee7a ch\u00fang v\u00e0 n\u1eafm b\u1eaft \u0111\u01b0\u1ee3c c\u00e1c k\u1ef9 thu\u1eadt c\u1ee5 th\u1ec3 \u0111\u1ec3 tinh ch\u1ec9nh v\u00e0 c\u1ea3i thi\u1ec7n ch\u00fang.<\/p>\n

Qu\u00e1 tr\u00ecnh b\u1ea1n s\u1eed d\u1ee5ng \u0111\u1ec3 hu\u1ea5n luy\u1ec7n v\u00e0 ph\u00e1t tri\u1ec3n m\u00f4 h\u00ecnh nh\u1ecf nh\u01b0ng c\u00f3 ch\u1ee9c n\u0103ng trong b\u00e0i vi\u1ebft\u00a0 n\u00e0y tu\u00e2n theo c\u00e1c b\u01b0\u1edbc t\u01b0\u01a1ng t\u1ef1 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 t\u1ea1o ra c\u00e1c m\u00f4 h\u00ecnh n\u1ec1n t\u1ea3ng quy m\u00f4 l\u1edbn nh\u01b0 GPT-4. M\u00f4 h\u00ecnh LLM quy m\u00f4 nh\u1ecf c\u1ee7a b\u1ea1n c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c ph\u00e1t tri\u1ec3n tr\u00ean m\u1ed9t chi\u1ebfc laptop th\u00f4ng th\u01b0\u1eddng, v\u00e0 b\u1ea1n s\u1ebd c\u00f3 th\u1ec3 s\u1eed d\u1ee5ng n\u00f3 nh\u01b0 m\u1ed9t tr\u1ee3 l\u00fd c\u00e1 nh\u00e2n c\u1ee7a ri\u00eang m\u00ecnh.<\/p>\n

C\u00e1c b\u01b0\u1edbc x\u00e2y d\u1ef1ng m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef l\u1edbn t\u1eeb \u0111\u1ea7u<\/h1>\n

\u0110\u1ec3 x\u00e2y d\u1ef1ng m\u1ed9t m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef l\u1edbn c\u01a1 b\u1ea3n ch\u00fang ta c\u1ea7n c\u00e0i \u0111\u1eb7t c\u00e1c ph\u1ea7n Jupyter notebook v\u00e0 m\u00f4i tr\u01b0\u1eddng Python. C\u00e1c file m\u00e3 ngu\u1ed3n g\u1ed3m c\u00e1c b\u01b0\u1edbc sau \u0111\u00e2y:<\/p>\n

    \n
  1. LLM_1_Tokenizer <\/strong>https:\/\/github.com\/nhunguet\/Build_LLM_from_Scratch\/blob\/main\/LLM_1_Tokenizer.ipynb<\/a> Trong Notebook n\u00e0y, ch\u00fang ta s\u1ebd ph\u00e1t tri\u1ec3n t\u1eebng b\u01b0\u1edbc m\u1ed9t l\u1edbp tokenizer. V\u0103n b\u1ea3n ch\u00fang ta s\u1ebd s\u1eed d\u1ee5ng \u0111\u1ec3 token h\u00f3a cho vi\u1ec7c hu\u1ea5n luy\u1ec7n LLM l\u00e0 m\u1ed9t truy\u1ec7n ng\u1eafn c\u1ee7a Edith Wharton c\u00f3 t\u00ean “The Verdict,” \u0111\u00e3 \u0111\u01b0\u1ee3c ph\u00e1t h\u00e0nh v\u00e0o ph\u1ea1m vi c\u00f4ng c\u1ed9ng v\u00e0 do \u0111\u00f3 \u0111\u01b0\u1ee3c ph\u00e9p s\u1eed d\u1ee5ng cho c\u00e1c nhi\u1ec7m v\u1ee5 hu\u1ea5n luy\u1ec7n LLM. V\u0103n b\u1ea3n c\u00f3 s\u1eb5n tr\u00ean Wikisource t\u1ea1i The Verdict<\/a>. \u0110\u00e2y l\u00e0 m\u1ed9t ph\u1ea7n c\u1ee7a lo\u1ea1t h\u01b0\u1edbng d\u1eabn s\u1ed5 tay v\u1ec1 c\u00e1ch x\u00e2y d\u1ef1ng m\u1ed9t LLM t\u1eeb \u0111\u1ea7u<\/li>\n
  2. LLM_2_Byte Pair Encoding <\/strong>https:\/\/github.com\/nhunguet\/Build_LLM_from_Scratch\/blob\/main\/LLM_2_Byte_Pair_Encoding.ipynb<\/a>
    \nTrong Notebook \u0111\u1ea7u ti\u00ean, ch\u00fang ta \u0111\u00e3 th\u1ea3o lu\u1eadn c\u00e1ch ph\u00e1t tri\u1ec3n m\u1ed9t Word Tokenizer t\u1eebng b\u01b0\u1edbc. Trong s\u1ed5 tay n\u00e0y, ch\u00fang ta s\u1ebd tr\u00ecnh b\u00e0y b\u01b0\u1edbc ti\u1ebfp theo tr\u01b0\u1edbc khi c\u00f3 th\u1ec3 t\u1ea1o ra embeddings cho LLM, \u0111\u00f3 l\u00e0 t\u1ea1o ra c\u00e1c c\u1eb7p \u0111\u1ea7u v\u00e0o – m\u1ee5c ti\u00eau c\u1ea7n thi\u1ebft cho vi\u1ec7c hu\u1ea5n luy\u1ec7n m\u1ed9t LLM.<\/li>\n
  3. LLM_3_Data Loader <\/strong>https:\/\/github.com\/nhunguet\/Build_LLM_from_Scratch\/blob\/main\/LLM_3_Data_Loader.ipynb
    \nTrong Notebook n\u00e0y, ch\u00fang ta s\u1ebd gi\u1ea3i th\u00edch kh\u00e1i ni\u1ec7m v\u1ec1 Dataset Class v\u00e0 Data Loader trong PyTorch. Ch\u00fang ta c\u0169ng s\u1ebd gi\u1ea3i th\u00edch b\u1eb1ng m\u1ed9t lo\u1ea1t v\u00ed d\u1ee5 v\u1ec1 c\u00e1ch d\u1eef li\u1ec7u X v\u00e0 chu\u1ed7i token m\u1ee5c ti\u00eau \u0111\u01b0\u1ee3c t\u1ea1o ra \u0111\u1ec3 t\u1ea1o ra m\u1ed9t d\u1ef1 \u0111o\u00e1n t\u1eeb ti\u1ebfp theo<\/li>\n
  4. LLM_4_Embeddings <\/strong>https:\/\/github.com\/nhunguet\/Build_LLM_from_Scratch\/blob\/main\/LLM_4_Embeddings.ipynb
    \nTrong Notebook n\u00e0y, ch\u00fang ta s\u1ebd gi\u1ea3i th\u00edch kh\u00e1i ni\u1ec7m v\u1ec1 word embeddings v\u00e0 c\u00e1ch m\u00e0 c\u1ea3 c\u00e1c token v\u00e0 v\u1ecb tr\u00ed c\u1ee7a ch\u00fang \u0111\u01b0\u1ee3c t\u00ednh \u0111\u1ebfn th\u00f4ng qua embeddings l\u00e0m \u0111\u1ea7u v\u00e0o cho qu\u00e1 tr\u00ecnh hu\u1ea5n luy\u1ec7n, th\u00f4ng qua c\u00e1c tr\u1ecdng s\u1ed1 embeddings ban \u0111\u1ea7u \u0111\u01b0\u1ee3c t\u1ea1o ng\u1eabu nhi\u00ean.<\/li>\n<\/ol>\n

     <\/p>\n

     <\/p>\n","protected":false},"excerpt":{"rendered":"

    C\u00e1c m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef l\u1edbn (LLM) cung c\u1ea5p s\u1ee9c m\u1ea1nh cho c\u00e1c c\u00f4ng c\u1ee5 AI ti\u00ean ti\u1ebfn nh\u01b0 ch\u00fang […]<\/p>\n","protected":false},"author":1,"featured_media":2358,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[250,111,233],"tags":[792,793],"class_list":["post-3970","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-deep-learning","category-tin-tuc-4-0","category-tri-tue-nhan-tao","tag-llm","tag-ngon-ngu-lon"],"_links":{"self":[{"href":"https:\/\/cafe2sach.com\/index.php\/wp-json\/wp\/v2\/posts\/3970","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cafe2sach.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cafe2sach.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/cafe2sach.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/cafe2sach.com\/index.php\/wp-json\/wp\/v2\/comments?post=3970"}],"version-history":[{"count":2,"href":"https:\/\/cafe2sach.com\/index.php\/wp-json\/wp\/v2\/posts\/3970\/revisions"}],"predecessor-version":[{"id":4003,"href":"https:\/\/cafe2sach.com\/index.php\/wp-json\/wp\/v2\/posts\/3970\/revisions\/4003"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cafe2sach.com\/index.php\/wp-json\/wp\/v2\/media\/2358"}],"wp:attachment":[{"href":"https:\/\/cafe2sach.com\/index.php\/wp-json\/wp\/v2\/media?parent=3970"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cafe2sach.com\/index.php\/wp-json\/wp\/v2\/categories?post=3970"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cafe2sach.com\/index.php\/wp-json\/wp\/v2\/tags?post=3970"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}