{"id":1641,"date":"2026-05-29T20:18:08","date_gmt":"2026-05-29T12:18:08","guid":{"rendered":"https:\/\/leak1.cc\/wp\/?p=1641"},"modified":"2026-05-29T20:18:08","modified_gmt":"2026-05-29T12:18:08","slug":"%e4%b8%81%e5%b8%88%e5%85%84%e5%a4%a7%e6%a8%a1%e5%9e%8b%e8%ae%ad%e7%bb%83%e8%90%a52025","status":"publish","type":"post","link":"https:\/\/leak1.cc\/wp\/it\/%e4%b8%81%e5%b8%88%e5%85%84%e5%a4%a7%e6%a8%a1%e5%9e%8b%e8%ae%ad%e7%bb%83%e8%90%a52025\/","title":{"rendered":"\u4e01\u5e08\u5144\u5927\u6a21\u578b\u8bad\u7ec3\u84252025"},"content":{"rendered":"\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/www.92ydl.com\/wp-content\/uploads\/2025\/08\/1754104494-78805a221a988e7-1024x335.png\" alt=\"\"\/><\/figure>\n\n\n<p>\u251c\u2500\u2500 \u9636\u6bb59\uff1a\u4ea7\u54c1\u7ea7LLM\u63a8\u7406\u4f18\u5316\u65b9\u6cd5\u8bba<br \/>\u2502 \u251c\u2500\u2500 \u5b66\u4e60\u8d44\u6599.doc<br \/>\u251c\u2500\u2500 \u9636\u6bb52\uff1a\u5927\u6a21\u578b\u6280\u672f\u603b\u89c8<br \/>\u2502 \u251c\u2500\u2500 \u3010\u624b\u6495\u3011\u56fe\u89e3\u7cfb\u5217\u4e4bTransformer<br \/>\u2502 \u2502 \u251c\u2500\u2500 18 Transformer \u7684\u52a8\u6001\u6d41\u7a0b<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 1.18 Transformer \u7684\u52a8\u6001\u6d41\u7a0b(Av770639974,P1).mp4<br \/>\u2502 \u2502 \u251c\u2500\u2500 08 ELMo\u6a21\u578b\uff08\u53cc\u5411LSTM\u6a21\u578b\u89e3\u51b3\u8bcd\u5411\u91cf\u591a\u4e49\u95ee\u9898\uff09<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 1.08 ELMo\u6a21\u578b\uff08\u53cc\u5411LSTM\u6a21\u578b\u89e3\u51b3\u8bcd\u5411\u91cf\u591a\u4e49\u95ee\u9898\uff09(Av385024424,P1).mp4<br \/>\u2502 \u2502 \u251c\u2500\u2500 16 Transformer\u7684\u7f16\u7801\u5668\uff08Encodes\uff09\u2014\u2014\u6211\u5728\u505a\u66f4\u4f18\u79c0\u7684\u8bcd\u5411\u91cf<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 1.16 Transformer\u7684\u7f16\u7801\u5668\uff08Encodes\uff09\u2014\u2014\u6211\u5728\u505a\u66f4\u4f18\u79c0\u7684\u8bcd\u5411(Av428050375,P1).mp4<br \/>\u2502 \u2502 \u251c\u2500\u2500 14 Transformer\u4e4b\u4f4d\u7f6e\u7f16\u7801Positional Encoding \uff08\u4e3a\u4ec0\u4e48 Self-Attention \u9700\u8981\u4f4d\u7f6e\u7f16\u7801\uff09<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 1.14 Transformer\u4e4b\u4f4d\u7f6e\u7f16\u7801Positional Encoding(Av215491720,P1).mp4<br \/>\u2502 \u2502 \u251c\u2500\u2500 20 Transformer \u7684\u8f93\u51fa\u548c\u8f93\u5165\u662f\u4ec0\u4e48<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 1.20 Transformer \u7684\u8f93\u51fa\u548c\u8f93\u5165\u662f\u4ec0\u4e48(Av557972960,P1).mp4<br \/>\u2502 \u2502 \u251c\u2500\u2500 03 \u4ec0\u4e48\u662f\u9884\u8bad\u7ec3\uff08Transformer \u524d\u594f\uff09<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 1.03 \u4ec0\u4e48\u662f\u9884\u8bad\u7ec3\uff08Transformer \u524d\u594f\uff09_batch(Av597476503,P1).mp4<br \/>\u2502 \u2502 \u251c\u2500\u2500 19 Transformer \u89e3\u7801\u5668\u7684\u4e24\u4e2a\u4e3a\u4ec0\u4e48\uff08\u4e3a\u4ec0\u4e48\u505a\u63a9\u7801\u3001\u4e3a\u4ec0\u4e48\u7528\u7f16\u7801\u5668-\u89e3\u7801\u5668\u6ce8\u610f\u529b\uff09<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 1.19 Transformer \u89e3\u7801\u5668\u7684\u4e24\u4e2a\u4e3a\u4ec0\u4e48\uff08\u4e3a\u4ec0\u4e48\u505a\u63a9\u7801\u3001\u4e3a\u4ec0\u4e48\u7528\u7f16\u7801(Av300673024,P1).mp4<br \/>\u2502 \u2502 \u251c\u2500\u2500 09 Transformer \u4e4b\u4ec0\u4e48\u662f\u6ce8\u610f\u529b\u673a\u5236\uff08Attention\uff09<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 1.09 Transformer \u4e4b\u4ec0\u4e48\u662f\u6ce8\u610f\u529b\u673a\u5236\uff08Attention\uff09(Av940206553,P1).mp4<br \/>\u2502 \u2502 \u251c\u2500\u2500 11 Self-Attention \u76f8\u6bd4\u8f83 RNN \u548c LSTM \u7684\u4f18\u7f3a\u70b9<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 1.12 Self-Attention \u76f8\u6bd4\u8f83 RNN \u548c LSTM \u7684\u4f18\u7f3a\u70b9(Av642878016,P1).mp4<br \/>\u2502 \u2502 \u251c\u2500\u2500 17 Transformer \u7684\u89e3\u7801\u5668\uff08Decoders\uff09\u2014\u2014\u6211\u8981\u751f\u6210\u4e00\u4e2a\u53c8\u4e00\u4e2a\u5355\u8bcd<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 1.17 Transformer \u7684\u89e3\u7801\u5668\uff08Decoders\uff09\u2014\u2014\u6211\u8981\u751f\u6210\u4e00\u4e2a\u53c8(Av770666012,P1).mp4<br \/>\u2502 \u2502 \u251c\u2500\u2500 06 Word2Vec\u6a21\u578b\uff08\u7b2c\u4e00\u4e2a\u4e13\u95e8\u505a\u8bcd\u5411\u91cf\u7684\u6a21\u578b\uff0cCBOW\u548cSkip-gram\uff09<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 1.06 Word2Vec\u6a21\u578b\uff08\u7b2c\u4e00\u4e2a\u4e13\u95e8\u505a\u8bcd\u5411\u91cf\u7684\u6a21\u578b\uff0cCBOW\u548cSkip-g(Av427408361,P1).mp4<br \/>\u2502 \u2502 \u251c\u2500\u2500 07 \u9884\u8bad\u7ec3\u8bed\u8a00\u6a21\u578b\u7684\u4e0b\u6e38\u4efb\u52a1\u6539\u9020\u7b80\u4ecb\uff08\u5982\u4f55\u4f7f\u7528\u8bcd\u5411\u91cf\uff09<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 1.07 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\u2502 \u2502 \u251c\u2500\u2500 1.1001 Attention \u548c Self-Attention \u7684\u533a\u522b\uff08\u8fd8\u4e0d(Av343699395,P1).mp4<br \/>\u2502 \u2502 \u251c\u2500\u2500 10 Transformer \u4e4b Self-Attention\uff08\u81ea\u6ce8\u610f\u529b\u673a\u5236\uff09<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 1.10 Transformer \u4e4b Self-Attention\uff08\u81ea\u6ce8\u610f\u529b\u673a\u5236(Av982926827,P1).mp4<br \/>\u2502 \u2502 \u251c\u2500\u2500 04 \u7edf\u8ba1\u8bed\u8a00\u6a21\u578b\uff08n\u5143\u8bed\u8a00\u6a21\u578b\uff09<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 1.04 \u7edf\u8ba1\u8bed\u8a00\u6a21\u578b\uff08n\u5143\u8bed\u8a00\u6a21\u578b\uff09_batch(Av812429669,P1).mp4<br \/>\u2502 \u2502 \u251c\u2500\u2500 05 \u795e\u7ecf\u7f51\u7edc\u8bed\u8a00\u6a21\u578b\uff08\u72ec\u70ed\u7f16\u7801+\u8bcd\u5411\u91cf Word Embedding \u7684\u8d77\u6e90\uff09<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 1.05 \u795e\u7ecf\u7f51\u7edc\u8bed\u8a00\u6a21\u578b\uff08\u72ec\u70ed\u7f16\u7801+\u8bcd\u5411\u91cf\u7684\u8d77\u6e90\uff09_x264(Av639898120,P1).mp4<br \/>\u2502 \u2502 \u251c\u2500\u2500 15 Transformer \u6846\u67b6\u6982\u8ff0<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 1.15 Transformer \u6846\u67b6\u6982\u8ff0(Av685604214,P1).mp4<br \/>\u2502 \u2502 \u251c\u2500\u2500 13 Transformer\u7684\u591a\u5934\u6ce8\u610f\u529b\uff0cMulti-Head Self-Attention\uff08\u4ece\u7a7a\u95f4\u89d2\u5ea6\u89e3\u91ca\u4e3a\u4ec0\u4e48\u505a\u591a\u5934\uff09<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 1.13 Transformer\u7684\u591a\u5934\u6ce8\u610f\u529b\uff0cMulti-Head Self-A(Av897974856,P1).mp4<br \/>\u2502 \u2502 \u251c\u2500\u2500 Transformer\u548cBERT\u770b\u4e0d\u61c2\u6765\u8fd9\u91cc\uff0c\u544a\u8bc9\u4f60\u4ed6\u4eec\u7684\u524d\u4e16\u4eca\u751f\uff0c\u5fc5\u80fd\u61c2<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 1.Transformer\u548cBERT\u770b\u4e0d\u61c2\u6765\u8fd9\u91cc\uff0c\u544a\u8bc9\u4f60\u4ed6\u4eec\u7684\u524d\u4e16\u4eca\u751f\uff0c\u5fc5\u80fd\u61c2(Av554805766,P1).mp4<br \/>\u2502 \u2502 \u251c\u2500\u2500 \u600e\u4e48\u5b66.doc<br \/>\u2502 \u251c\u2500\u2500 \u3010\u539f\u7406\u3011\u5927\u6a21\u578b\u539f\u7406<br \/>\u2502 \u2502 \u251c\u2500\u2500 \u65b0\u5efa\u6587\u4ef6\u5939<br \/>\u2502 \u2502 \u251c\u2500\u2500 LLM-TAP.pdf<br \/>\u2502 \u2502 \u251c\u2500\u2500 \u600e\u4e48\u5b66.doc<br \/>\u2502 \u251c\u2500\u2500 \u3010\u8109\u7edc\u3011ChatGPT\u7684\u524d\u4e16\u4eca\u751f<br \/>\u2502 \u2502 \u251c\u2500\u2500 \u3010\u7cbe\u6821\u73cd\u85cf\u7248\u3011\u5927\u725bAndrej Karpathy\u7684stanford\u6df1\u5ea6\u5b66\u4e60\u8bfe\u7a0b\uff1a\u6df1\u5165\u7406\u89e3Transformer\uff0c\u4ece\u96f6\u6253\u9020\u6700\u7b80\u7248GPT<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 1.\u3010\u7cbe\u6821\u73cd\u85cf\u7248\u3011\u5927\u725bAndrej Karpathy\u7684stanford\u6df1\u5ea6\u5b66\u4e60\u8bfe(Av699069341,P1).mp4<br \/>\u2502 \u2502 \u251c\u2500\u2500 \u3010\u73cd\u85cf\u3011\u4ece\u5934\u5f00\u59cb\u7528\u4ee3\u7801\u6784\u5efaGPT &#8211; \u5927\u795eAndrej Karpathy \u7684\u201c\u795e\u7ecf\u7f51\u7edc\u4eceZero\u5230Hero \u7cfb\u5217\u201d\u4e4b\u4e03<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 1.\u3010\u73cd\u85cf\u3011\u4ece\u5934\u5f00\u59cb\u7528\u4ee3\u7801\u6784\u5efaGPT &#8211; \u5927\u795eAndrej Karpathy \u7684(Av316746341,P1).mp4<br \/>\u2502 \u2502 \u251c\u2500\u2500 \u3010\u7cbe\u6821\u3011\u201c\u8ba9\u6211\u4eec\u6784\u5efaGPT Tokenizer\u201dAI\u5927\u795eAndrej Karpathy\u6700\u65b0\u5927\u6a21\u578b\u6280\u672f\u8bb2\u5ea7 \u3010\u4e2d\u82f1\u3011<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 1.\u3010\u7cbe\u6821\u3011\u201c\u8ba9\u6211\u4eec\u6784\u5efaGPT Tokenizer\u201dAI\u5927\u795eAndrej Kar(Av1800818494,P1).mp4<br \/>\u2502 \u2502 \u251c\u2500\u2500 3.InstructGPT \u8bba\u6587\u7cbe\u8bfb\u3010\u8bba\u6587\u7cbe\u8bfb\u00b748\u3011<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 1.InstructGPT \u8bba\u6587\u7cbe\u8bfb\u3010\u8bba\u6587\u7cbe\u8bfb\u00b748\u3011(Av391906274,P1).mp4<br \/>\u2502 \u2502 \u251c\u2500\u2500 2.Andrej Karpathy\u5927\u795e\u4eb2\u6388\uff1a\u5927\u8bed\u8a00\u6a21\u578b\u5165\u95e8\u3010\u4e2d\u82f1\u3011<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 1.Andrej Karpathy\u5927\u795e\u4eb2\u6388\uff1a\u5927\u8bed\u8a00\u6a21\u578b\u5165\u95e8\u3010\u4e2d\u82f1\u3011(Av451275641,P1).mp4<br \/>\u2502 \u2502 \u251c\u2500\u2500 \u3010\u7cbe\u6821\u7248\u3011Andrej Karpathy\u5fae\u8f6fBuild\u5927\u4f1a\u7cbe\u5f69\u6f14\u8bb2\uff1a GPT\u72b6\u6001\u548c\u539f\u7406 &#8211; \u89e3\u5bc6OpenAI\u6a21\u578b\u8bad\u7ec3<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 1.\u3010\u7cbe\u6821\u7248\u3011Andrej Karpathy\u5fae\u8f6fBuild\u5927\u4f1a\u7cbe\u5f69\u6f14\u8bb2\uff1a GPT(Av954084772,P1).mp4<br \/>\u2502 \u2502 \u251c\u2500\u2500 \u53cd\u5411\u4f20\u64ad\u548c\u795e\u7ecf\u7f51\u7edc\u8bad\u7ec3 \u00b7 \u5927\u795eAndrej Karpathy \u7684\u201c\u795e\u7ecf\u7f51\u7edc\u4eceZero\u5230Hero \u7cfb\u5217\u201d\u4e4b\u4e00<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 1.\u53cd\u5411\u4f20\u64ad\u548c\u795e\u7ecf\u7f51\u7edc\u8bad\u7ec3 \u00b7 \u5927\u795eAndrej Karpathy \u7684\u201c\u795e\u7ecf\u7f51(Av786864921,P1).mp4<br \/>\u2502 \u2502 \u251c\u2500\u2500 1\u3010\u8109\u7edc\u3011ChatGPT\u7684\u524d\u4e16\u4eca\u751f<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 ChatGPT \u662f\u600e\u4e48\u70bc\u6210\u7684 &#8211; GPT\u793e\u4f1a\u5316\u7684\u8fc7\u7a0b (\u674e\u5b8f\u6bc5)<br \/>\u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 2.\u6765\u81ea\u730e\u4eba\u6697\u9ed1\u5927\u9646\u7684\u6a21\u578bGPT-3(Av605964038,P2).mp4<br \/>\u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 5.WebGPT\uff0c\u4f1a\u641c\u5bfb\u8bc1\u636e\u7684GPT-3\uff08\u53f0\u5927\uff09(Av605964038,P5).mp4<br \/>\u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 1.Chat GPT (\u53ef\u80fd)\u662f\u600e\u4e48\u70bc\u6210\u7684 &#8211; GPT\u793e\u4f1a\u5316\u7684\u8fc7\u7a0b (\u674e\u5b8f\u6bc5)(Av605964038,P1).mp4<br \/>\u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 4.ChatGPT\uff0c\u60ca\u8273\u4f17\u4eba\u7684\u4f1a\u8bdd\u8bd5AI\uff08\u53f0\u5927\uff09(Av605964038,P4).mp4<br \/>\u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 3.InstructGPT\uff0c\u4ece\u4eba\u7c7b\u56de\u9988\u4e2d\u5b66\u4e60\uff0cChatGPT\u7684\u524d\u8eab\uff08\u53f0\u5927\uff09(Av605964038,P3).mp4<br \/>\u2502 \u2502 \u251c\u2500\u2500 LLM-TAP.pdf<br \/>\u2502 \u2502 \u251c\u2500\u2500 \u600e\u4e48\u5b66.doc<br \/>\u251c\u2500\u2500 \u9762\u8bd5\u9898\u76ee<br \/>\u2502 \u251c\u2500\u2500 \u9762\u8bd5\u5b9d\u5178<br \/>\u2502 \u2502 \u251c\u2500\u2500 26\u591a\u6a21\u6001\u5e38\u89c1\u9762\u8bd5\u7bc7<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 \u591a\u6a21\u6001\u5e38\u89c1\u9762\u8bd5\u7bc7.pdf<br \/>\u2502 \u2502 \u251c\u2500\u2500 08\u5927\u6a21\u578b\uff08LLMs\uff09\u589e\u91cf\u9884\u8bad\u7ec3\u7bc7<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 2\u5927\u6a21\u578b\uff08LLMs\uff09\u63a8\u7406\u52a0\u901f\u7bc7.pdf<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 1\u5927\u6a21\u578b\uff08LLMs\uff09\u589e\u91cf\u9884\u8bad\u7ec3\u7bc7.pdf<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 4\u57fa\u4e8elora\u7684llama2\u4e8c\u6b21\u9884\u8bad\u7ec3.pdf<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 3\u589e\u91cf\u9884\u8bad\u7ec3\uff08Pretrain\uff09\u6837\u672c\u62fc\u63a5\u7bc7.pdf<br \/>\u2502 \u2502 \u251c\u2500\u2500 07\u5927\u6a21\u578b\uff08LLMs\uff09\u63a8\u7406\u9762<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 \u5927\u6a21\u578b\uff08LLMs\uff09\u63a8\u7406\u9762.pdf<br \/>\u2502 \u2502 \u251c\u2500\u2500 11\u5927\u6a21\u578b\uff08LLMs\uff09\u8bad\u7ec3\u96c6\u9762<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 1\u5927\u6a21\u578b\uff08LLMs\uff09\u8bad\u7ec3\u96c6\u9762.pdf<br \/>\u2502 \u2502 \u2502 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1MOE\uff08Mixture-of-Experts\uff09\u7bc7.pdf<br \/>\u2502 \u2502 \u251c\u2500\u2500 14\u5927\u6a21\u578b\uff08LLMs\uff09agent \u9762<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 1\u5927\u6a21\u578b\uff08LLMs\uff09agent \u9762.pdf<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 2AI Agent \u9762 \u2014\u2014 \u51fd\u6570\u8c03\u7528 Function Call \u7bc7.pdf<br \/>\u2502 \u2502 \u251c\u2500\u2500 15LLMs \u4f4d\u7f6e\u7f16\u7801\u7bc7<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 LLMs \u4f4d\u7f6e\u7f16\u7801\u7bc7.pdf<br \/>\u2502 \u2502 \u251c\u2500\u2500 06\u5927\u6a21\u578b\uff08LLMs\uff09\u53c2\u6570\u9ad8\u6548\u5fae\u8c03(PEFT) \u9762<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 4LoRA \u7cfb\u5217\u5e38\u89c1\u9762\u8bd5\u9898\u7bc7.pdf<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 5\u5982\u4f55\u4f7f\u7528 PEFT\u5e93 \u4e2d LoRA\uff1f.pdf<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 3\u63d0\u793a\u5b66\u4e60\uff08Prompting\uff09\u7bc7.pdf<br \/>\u2502 \u2502 \u2502 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3\u6587\u672c\u6458\u8981\u5e38\u89c1\u9762\u8bd5\u7bc7.pdf<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 5\u5411\u91cf\u68c0\u7d22\u5e38\u89c1\u9762\u8bd5\u7bc7.pdf<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 2\u6587\u672c\u5206\u7c7b\u5e38\u89c1\u9762\u8bd5\u7bc7.pdf<br \/>\u2502 \u2502 \u251c\u2500\u2500 17\u5927\u6a21\u578b(LLM)\u90e8\u7f72\u6846\u67b6\u5bf9\u6bd4\u7bc7<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 5\u5927\u6a21\u578b\u63a8\u7406\u52a0\u901f\u5de5\u5177 \u2014\u2014 vLLM.pdf<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 2\u5927\u6a21\u578b\uff08LLMs\uff09\u52a0\u901f\u7bc7.pdf<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 4LLM\uff08\u5927\u8bed\u8a00\u6a21\u578b\uff09\u90e8\u7f72\u52a0\u901f\u65b9\u6cd5\u2014\u2014PagedAttention\u7bc7.pdf<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 6LLM\uff08\u5927\u8bed\u8a00\u6a21\u578b\uff09\u90e8\u7f72\u52a0\u901f\u65b9\u6cd5\u2014\u2014Faster Transformer\u7bc7.pdf<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 8LLM\u63a8\u7406\u6280\u672f\u4e4bStreamingLLM\uff1a\u5982\u4f55\u62e5\u6709\u65e0\u9650\u957f\u751f\u6210\u80fd\u529b.pdf<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 7\u7eafPython\u8d85\u8f7b\u91cf\u9ad8\u6027\u80fdLLM\u63a8\u7406\u6846\u67b6 \u2014\u2014 LightLLM.pdf<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 3LLMs \u63a8\u7406\u6027\u80fd\u9762.pdf<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 9SwiftInfer \u2014\u2014 \u5927\u6a21\u578b\u65e0\u9650\u6d41\u5f0f\u8f93\u5165\u63a8\u7406\u98d9\u534746%\uff0c\u6253\u7834\u591a\u8f6e\u5bf9\u8bdd\u957f\u5ea6\u9650\u5236.pdf<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 1\u5927\u6a21\u578b(LLM)\u90e8\u7f72\u6846\u67b6\u5bf9\u6bd4\u7bc7.pdf<br \/>\u2502 \u2502 \u251c\u2500\u2500 09\u5927\u6a21\u578b\uff08LLMs\uff09\u8bc4\u6d4b\u9762<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 \u5927\u6a21\u578b\uff08LLMs\uff09\u8bc4\u6d4b\u9762.pdf<br \/>\u2502 \u2502 \u251c\u2500\u2500 20\u601d\u7ef4\u94fe Chain-of-Thought\uff08COT\uff09\u7bc7<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 1\u601d\u7ef4\u94fe Chain-of-Thought\uff08COT\uff09\u7bc7.pdf<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 2\u601d\u7ef4\u94fe Chain-of-Thought\uff08COT\uff09\u53d8\u4f53\u7bc7.pdf<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 3\u5c0f\u6837\u672c\u63d0\u793a\u5b66\u4e60\u7bc7.pdf<br \/>\u2502 \u2502 \u251c\u2500\u2500 25Token\u53ca\u6a21\u578b\u53c2\u6570\u51c6\u5907\u7bc7<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 Token\u53ca\u6a21\u578b\u53c2\u6570\u51c6\u5907\u7bc7.pdf<br \/>\u2502 \u2502 \u251c\u2500\u2500 16LLMs Tokenizer \u5e38\u89c1\u9762\u8bd5\u7bc7<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 4\u600e\u4e48\u8ba9\u82f1\u6587\u5927\u8bed\u8a00\u6a21\u578b\u652f\u6301\u4e2d\u6587\uff1f\uff08\u4e09\uff09 \u2014\u2014 \u5bf9\u9884\u8bad\u7ec3\u6a21\u578b\u8fdb\u884c\u6307\u4ee4\u5fae\u8c03.pdf<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 2\u600e\u4e48\u8ba9\u82f1\u6587\u5927\u8bed\u8a00\u6a21\u578b\u652f\u6301\u4e2d\u6587\uff1f\uff08\u4e00\uff09 \u2014\u2014 \u6784\u5efa\u4e2d\u6587tokenization.pdf<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 3\u600e\u4e48\u8ba9\u82f1\u6587\u5927\u8bed\u8a00\u6a21\u578b\u652f\u6301\u4e2d\u6587\uff1f\uff08\u4e8c\uff09 \u2014\u2014 \u7ee7\u7eed\u9884\u8bad\u7ec3\u7bc7.pdf<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 1LLMs Tokenizer \u5e38\u89c1\u9762\u8bd5\u7bc7.pdf<br \/>\u2502 \u2502 \u251c\u2500\u2500 19LLMs \u5bf9\u6bd4\u7bc7<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 1LLMs \u5bf9\u6bd4\u7bc7.pdf<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 5GPT \u7ecf\u9a8c\u7bc7.pdf<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 2\u5927\u6a21\u578b-attention mask \u7bc7.pdf<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 3\u767e\u5ddd\u667a\u80fdbaichuan7B\u300113B\u300153B\u3001baichuan2 \u603b\u7ed3\u7bc7.pdf<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 4LLaMA 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7RAG\uff08Retrieval-Augmented Generation\uff09\u8bc4\u6d4b\u9762.pdf<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 1\u5927\u6a21\u578b RAG \u7ecf\u9a8c\u9762.pdf<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 5\u5927\u6a21\u578b\u5916\u6302\u77e5\u8bc6\u5e93\u4f18\u5316\u2014\u2014\u5982\u4f55\u5229\u7528\u5927\u6a21\u578b\u8f85\u52a9\u53ec\u56de\uff1f.pdf<br \/>\u2502 \u2502 \u251c\u2500\u2500 02\u5927\u6a21\u578b\uff08LLMs\uff09\u8fdb\u9636\u9762<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 \u5927\u6a21\u578b\uff08LLMs\uff09\u8fdb\u9636\u9762.pdf<br \/>\u2502 \u2502 \u251c\u2500\u2500 LLMs \u76ee\u5f55.pdf<br \/>\u2502 \u251c\u2500\u2500 \u9ad8\u9891\u9762\u8bd5\u9898-\u9636\u6bb54.html<br \/>\u2502 \u251c\u2500\u2500 \u9ad8\u9891\u9762\u8bd5\u9898-\u9636\u6bb52.html<br \/>\u2502 \u251c\u2500\u2500 \u9ad8\u9891\u9762\u8bd5\u9898-\u9636\u6bb51.html<br \/>\u2502 \u251c\u2500\u2500 \u9ad8\u9891\u9762\u8bd5\u9898-\u9636\u6bb53.html<br \/>\u251c\u2500\u2500 \u9636\u6bb51\uff1a\u5927\u6a21\u578b\u5fc5\u5907\u7684\u6df1\u5ea6\u5b66\u4e60\u57fa\u7840<br \/>\u2502 \u251c\u2500\u2500 2.\u3010\u539f\u7406\u3011\u6df1\u5ea6\u5b66\u4e60\u5fc5\u770b<br \/>\u2502 \u2502 \u251c\u2500\u2500 \u89c6\u9891<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 63.63. 63. 11. 7.10 \u6682\u9000\u6cd5\uff08Dropout\uff09(Av836329979,P63).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 18.18. 18. 18. 2.9 \u6a21\u578b\u9009\u62e9\u4e0e\u201c\u504f\u5dee-\u65b9\u5dee\u201d\u5206\u89e3(Av836329979,P18).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 31.31. 31. 31. 4.2 \u795e\u7ecf\u7f51\u7edc(Av836329979,P31).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 16.16. 16. 16. 2.7 \u591a\u9879\u5f0f\u56de\u5f52(Av836329979,P16).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 54.54. 54. 2. 7.1 \u795e\u7ecf\u7f51\u7edc\u4f18\u5316\u7684\u7279\u70b9(Av836329979,P54).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 5.5. 5. 5. 1.4 \u6df1\u5ea6\u5b66\u4e60(Av836329979,P5).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 74.74. 74. 22. 8.7 \u7ed3\u6784\u5316\u7684\u5916\u90e8\u8bb0\u5fc6(Av836329979,P74).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 40.40. 40. 40. 5.4 \u5178\u578b\u7684\u5377\u79ef\u7f51\u7edc(Av836329979,P40).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 36.36. 36. 36. 5 \u5377\u79ef\u795e\u7ecf\u7f51\u7edc(Av836329979,P36).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 90.3-\u795e\u7ecf\u7f51\u7edc\u6848\u4f8b-\u8bad\u7ec3\u795e\u7ecf\u7f51\u7edc\u5b8c\u6210\u5206\u7c7b\u4efb\u52a1(Av836329979,P90).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 24.24. 24. 24. 3.4 Logistic\u56de\u5f52(Av836329979,P24).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 53.53. 53. 1. 7 \u7f51\u7edc\u4f18\u5316\u4e0e\u6b63\u5219\u5316(Av836329979,P53).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 17.17. 17. 17. 2.8 \u7ebf\u6027\u56de\u5f52\u7684\u6982\u7387\u89c6\u89d2(Av836329979,P17).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 27.27. 27. 27. 3.7 \u652f\u6301\u5411\u91cf\u673a(Av836329979,P27).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 29.29. 29. 29. 4 \u524d\u9988\u795e\u7ecf\u7f51\u7edc(Av836329979,P29).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 58.58. 58. 6. 7.5 \u53c2\u6570\u521d\u59cb\u5316(Av836329979,P58).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 77.77. 77. 25. 9 \u65e0\u76d1\u7763\u5b66\u4e60(Av836329979,P77).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 92.\u7b2c\u4e00\u7ae0\u7b2c\u4e00\u8282-\u795e\u7ecf\u7f51\u7edc\u6848\u4f8b-cifar\u5206\u7c7b\u4efb\u52a1\uff081\uff09(Av836329979,P92).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 28.28. 28. 28. 3.8 \u7ebf\u6027\u5206\u7c7b\u6a21\u578b\u5c0f\u7ed3(Av836329979,P28).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 51.51. 51. 51. 6.8 \u5faa\u73af\u7f51\u7edc\u5e94\u7528(Av836329979,P51).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 86.86. 86. 34. 9.9 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\u2502 \u251c\u2500\u2500 85.85. 85. 33. 9.8 \u81ea\u76d1\u7763\u5b66\u4e60(Av836329979,P85).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 30.30. 30. 30. 4.1 \u795e\u7ecf\u5143(Av836329979,P30).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 41.41. 41. 41. 5.5 \u5377\u79ef\u7f51\u7edc\u7684\u5e94\u7528(Av836329979,P41).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 52.52. 52. 52. 6.9 \u6269\u5c55\u5230\u56fe\u7ed3\u6784(Av836329979,P52).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 8.8. 8. 8. 1.7 \u795e\u7ecf\u7f51\u7edc\u53d1\u5c55\u53f2(Av836329979,P8).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 3.3. 3. 3. 1.2 \u5982\u4f55\u5f00\u53d1\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\uff1f(Av836329979,P3).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 14.14. 14. 14. 2.5 \u6cdb\u5316\u4e0e\u6b63\u5219\u5316(Av836329979,P14).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 2.2. 2. 2. 1.1 \u4eba\u5de5\u667a\u80fd(Av836329979,P2).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 13.13. 13. 13. 2.4 \u673a\u5668\u5b66\u4e60\u7684\u8981\u7d20(Av836329979,P13).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 47.47. 47. 47. 6.4 \u53c2\u6570\u5b66\u4e60\u4e0e\u957f\u7a0b\u4f9d\u8d56\u95ee\u9898(Av836329979,P47).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 15.15. 15. 15. 2.6 \u7ebf\u6027\u56de\u5f52(Av836329979,P15).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 55.55. 55. 3. 7.2 \u4f18\u5316\u7b97\u6cd5\u6539\u8fdb(Av836329979,P55).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 38.38. 38. 38. 5.2 \u5377\u79ef\u795e\u7ecf\u7f51\u7edc(Av836329979,P38).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 7.7. 7. 7. 1.6 \u795e\u7ecf\u7f51\u7edc(Av836329979,P7).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 80.80. 80. 28. 9.3 \u5c42\u6b21\u805a\u7c7b(Av836329979,P80).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 71.71. 71. 19. 8.4 \u81ea\u6ce8\u610f\u529b\u6a21\u578b(Av836329979,P71).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 73.73. 73. 21. 8.6 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\u2502 \u2502 \u251c\u2500\u2500 42.42. 42. 42. 5.6 \u5e94\u7528\u5230\u6587\u672c\u6570\u636e(Av836329979,P42).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 19.19. 19. 19. 2.10 \u5e38\u7528\u7684\u5b9a\u7406(Av836329979,P19).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 48.48. 48. 48. 6.5 \u5982\u4f55\u89e3\u51b3\u957f\u7a0b\u4f9d\u8d56\u95ee\u9898(Av836329979,P48).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 61.61. 61. 9. 7.8 \u8d85\u53c2\u6570\u4f18\u5316(Av836329979,P61).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 22.22. 22. 22. 3.2 \u7ebf\u6027\u5206\u7c7b\u6a21\u578b(Av836329979,P22).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 21.21. 21. 21. 3.1 \u5206\u7c7b\u95ee\u9898\u793a\u4f8b(Av836329979,P21).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 57.57. 57. 5. 7.4 \u68af\u5ea6\u65b9\u5411\u4f18\u5316(Av836329979,P57).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 62.62. 62. 10. 7.9 \u7f51\u7edc\u6b63\u5219\u5316(Av836329979,P62).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 83.83. 83. 31. 9.6 \u7f16\u7801\u4e0e\u7a00\u758f\u7f16\u7801(Av836329979,P83).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 25.25. 25. 25. 3.5 Softmax\u56de\u5f52(Av836329979,P25).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 72.72. 72. 20. 8.5 Transformer(Av836329979,P72).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 6.6. 6. 6. 1.5 \u4eba\u8111\u795e\u7ecf\u7f51\u7edc(Av836329979,P6).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 32.32. 32. 32. 4.3 \u524d\u9988\u795e\u7ecf\u7f51\u7edc(Av836329979,P32).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 46.46. 46. 46. 6.3 \u5e94\u7528\u5230\u673a\u5668\u5b66\u4e60(Av836329979,P46).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 79.79. 79. 27. 9.2 K\u5747\u503c\u65b9\u6cd5(Av836329979,P79).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 87.88. 88. 36. 9.11 \u534a\u76d1\u7763\u5b66\u4e60(Av836329979,P87).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 44.44. 44. 44. 6.1 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1.2024\u5e74\u5b98\u65b9\u6700\u65b0\u53cc\u8bed\u5b8c\u6574\u7248\uff5cCS224N\uff5c\u65af\u5766\u798f\u5927\u5b66\uff5c\u7cbe\u7ffb\u4e2d\u6587\uff5c\u81ea\u7136\u8bed\u8a00\u5904(Av1801601230,P1).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 1.CS224N\uff5c13-\u6307\u4ee3\u6d88\u89e3\uff5c\u7cbe\u7ffb\u4e2d\u6587\uff5c\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff5c2024\u6700\u65b0(Av1604815636,P1).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 1.CS224N\uff5c16-\u591a\u6a21\u6001\u6df1\u5ea6\u5b66\u4e60\uff0cDouwe Kiela\uff5c\u7cbe\u7ffb\u4e2d\u6587\uff5c\u81ea\u7136\u8bed(Av1004785817,P1).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 1.CS224N\uff5c10-\u63d0\u793a\u8bcd\u3001\u4eba\u7c7b\u53cd\u9988\u5f3a\u5316\u5b66\u4e60 &#8211; 2023\uff5c\u7cbe\u7ffb\u4e2d\u6587\uff5c\u81ea\u7136\u8bed(Av1454836305,P1).mp4<br \/>\u2502 \u251c\u2500\u2500 1.\u3010\u6846\u67b6\u3011Pytorch\u5b66\u4e60<br \/>\u2502 \u2502 \u251c\u2500\u2500 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Python\u7f16\u8f91\u5668\u7684\u9009\u62e9\u3001\u5b89\u88c5\u53ca\u914d\u7f6e\uff08PyCharm\u3001Jupyter(Av74281036,P2).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 18.\u795e\u7ecf\u7f51\u7edc-\u5377\u79ef\u5c42(Av74281036,P18).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 5.P4. PyCharm\u53caJupyter\u4f7f\u7528\u53ca\u5bf9\u6bd4(Av74281036,P5).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 7.P6. Dataset\u7c7b\u4ee3\u7801\u5b9e\u6218(Av74281036,P7).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 29.\u5b8c\u6574\u7684\u6a21\u578b\u8bad\u7ec3\u5957\u8def\uff08\u4e09\uff09(Av74281036,P29).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 24.\u4f18\u5316\u5668\uff08\u4e00\uff09(Av74281036,P24).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 30.\u5229\u7528GPU\u8bad\u7ec3\uff08\u4e00\uff09(Av74281036,P30).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 32.\u5b8c\u6574\u7684\u6a21\u578b\u9a8c\u8bc1\u5957\u8def(Av74281036,P32).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 8.P7. TensorBoard\u7684\u4f7f\u7528\uff08\u4e00\uff09(Av74281036,P8).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 19.\u795e\u7ecf\u7f51\u7edc-\u6700\u5927\u6c60\u5316\u7684\u4f7f\u7528(Av74281036,P19).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 4.P3. Python\u5b66\u4e60\u4e2d\u7684\u4e24\u5927\u6cd5\u5b9d\u51fd\u6570\uff08\u5f53\u7136\u4e5f\u53ef\u4ee5\u7528\u5728PyTorch\uff09(Av74281036,P4).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 27.\u5b8c\u6574\u7684\u6a21\u578b\u8bad\u7ec3\u5957\u8def\uff08\u4e00\uff09(Av74281036,P27).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 25.\u73b0\u6709\u7f51\u7edc\u6a21\u578b\u7684\u4f7f\u7528\u53ca\u4fee\u6539(Av74281036,P25).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 1.P1. PyTorch\u73af\u5883\u7684\u914d\u7f6e\u53ca\u5b89\u88c5\uff08Configuration and (Av74281036,P1).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 3.\u3010FAQ\u3011\u4e3a\u4ec0\u4e48torch.cuda.is_available\u8fd4\u56deFalse(Av74281036,P3).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 14.torchvision\u4e2d\u7684\u6570\u636e\u96c6\u4f7f\u7528(Av74281036,P14).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 10.P9. Transforms\u7684\u4f7f\u7528\uff08\u4e00\uff09(Av74281036,P10).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 11.P9. Transforms\u7684\u4f7f\u7528\uff08\u4e8c\uff09(Av74281036,P11).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 26.\u7f51\u7edc\u6a21\u578b\u7684\u4fdd\u5b58\u4e0e\u8bfb\u53d6(Av74281036,P26).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 6.P5. PyTorch\u52a0\u8f7d\u6570\u636e\u521d\u8ba4\u8bc6(Av74281036,P6).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 9.P8. TensorBoard\u7684\u4f7f\u7528\uff08\u4e8c\uff09(Av74281036,P9).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 17.\u571f\u5806\u8bf4\u5377\u79ef\u64cd\u4f5c\uff08\u53ef\u9009\u770b\uff09(Av74281036,P17).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 15.DataLoader\u7684\u4f7f\u7528(Av74281036,P15).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 12.\u5e38\u89c1\u7684Transforms\uff08\u4e00\uff09(Av74281036,P12).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 16.\u795e\u7ecf\u7f51\u7edc\u7684\u57fa\u672c\u9aa8\u67b6-nn.Module\u7684\u4f7f\u7528(Av74281036,P16).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 23.\u635f\u5931\u51fd\u6570\u4e0e\u53cd\u5411\u4f20\u64ad(Av74281036,P23).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 31.\u5229\u7528GPU\u8bad\u7ec3\uff08\u4e8c\uff09(Av74281036,P31).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 33.\u3010\u5b8c\u7ed3\u3011\u770b\u770b\u5f00\u6e90\u9879\u76ee(Av74281036,P33).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 20.\u795e\u7ecf\u7f51\u7edc-\u975e\u7ebf\u6027\u6fc0\u6d3b(Av74281036,P20).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 28.\u5b8c\u6574\u7684\u6a21\u578b\u8bad\u7ec3\u5957\u8def\uff08\u4e8c\uff09(Av74281036,P28).mp4<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 22.\u795e\u7ecf\u7f51\u7edc-\u642d\u5efa\u5c0f\u5b9e\u6218\u548cSequential\u7684\u4f7f\u7528(Av74281036,P22).mp4<br \/>\u2502 \u2502 \u251c\u2500\u2500 \u600e\u4e48\u5b66.doc<br \/>\u2502 \u2502 \u251c\u2500\u2500 pytorch-tutorial-master.zip<br \/>\u251c\u2500\u2500 \u9636\u6bb58\uff1a\u5927\u6a21\u578b\u5206\u5e03\u5f0f\u5e76\u884c\u8bad\u7ec3<br \/>\u2502 \u251c\u2500\u2500 \u9636\u6bb58\u5b66\u4e60\u8d44\u6599.doc<br \/>\u2502 \u251c\u2500\u2500 \u600e\u4e48\u5b66\uff1f.docx<br \/>\u2502 \u251c\u2500\u2500 \u672c\u9636\u6bb5\u4f5c\u4e1a\u548c\u8003\u8bd5.docx<br \/>\u251c\u2500\u2500 \u9636\u6bb510\uff1a\u63a8\u7406\u5f15\u64ce\u90e8\u7f72\u4e0e\u4f18\u5316\u5b9e\u6218<br \/>\u2502 \u251c\u2500\u2500 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\u2502 \u251c\u2500\u2500 events.out.tfevents.1707731217.WY-20230411FNEJ.18472(1).0<br \/>\u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 Feb13_01-54-00_WY-20230411FNEJ<br \/>\u2502 \u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 events.out.tfevents.1707760440.WY-20230411FNEJ.13052.0<br \/>\u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 Feb13_14-45-39_WY-20230411FNEJ<br \/>\u2502 \u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 events.out.tfevents.1707806739.WY-20230411FNEJ.19832.0<br \/>\u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 Mar03_01-42-48_WY-20230411FNEJ<br \/>\u2502 \u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 events.out.tfevents.1709401368.WY-20230411FNEJ.14180.0<br \/>\u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 Feb13_13-52-09_WY-20230411FNEJ<br \/>\u2502 \u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 events.out.tfevents.1707803529.WY-20230411FNEJ.7564.0<br \/>\u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 Feb12_21-59-35_WY-20230411FNEJ<br \/>\u2502 \u2502 \u2502 \u2502 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\/>\u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 Feb13_14-19-25_WY-20230411FNEJ<br \/>\u2502 \u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 events.out.tfevents.1707805165.WY-20230411FNEJ.15156.0<br \/>\u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 Feb13_14-16-38_WY-20230411FNEJ<br \/>\u2502 \u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 events.out.tfevents.1707804998.WY-20230411FNEJ.23392.0<br \/>\u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 Feb13_15-26-43_WY-20230411FNEJ<br \/>\u2502 \u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 events.out.tfevents.1707809203.WY-20230411FNEJ.27180.0<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 data<br \/>\u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 \u91d1\u5eb8-\u8d8a\u5973\u5251.txt<br \/>\u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 \u91d1\u5eb8-\u9e33\u9e2f\u5200.txt<br \/>\u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 \u91d1\u5eb8-\u5929\u9f99\u516b\u90e8.txt<br \/>\u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 \u91d1\u5eb8-\u767d\u9a6c\u5578\u897f\u98ce.txt<br \/>\u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 \u91d1\u5eb8-\u795e\u96d5\u4fa0\u4fa3.txt<br \/>\u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 \u91d1\u5eb8-\u8fde\u57ce\u8bc0.txt<br \/>\u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 \u91d1\u5eb8-\u98de\u72d0\u5916\u4f20.txt<br \/>\u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 \u91d1\u5eb8-\u4e66\u5251\u6069\u4ec7\u5f55.txt<br \/>\u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 \u91d1\u5eb8-\u4fa0\u5ba2\u884c.txt<br \/>\u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 \u91d1\u5eb8-\u9e7f\u9f0e\u8bb0.txt<br \/>\u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 \u91d1\u5eb8-\u501a\u5929\u5c60\u9f99\u8bb0.txt<br \/>\u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 \u91d1\u5eb8-\u96ea\u5c71\u98de\u72d0.txt<br \/>\u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 \u91d1\u5eb8-\u5c04\u96d5\u82f1\u96c4\u4f20.txt<br \/>\u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 \u91d1\u5eb8-\u7b11\u50b2\u6c5f\u6e56.txt<br \/>\u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 \u91d1\u5eb8-\u78a7\u8840\u5251.txt<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 model-lora<br \/>\u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 runs<br \/>\u2502 \u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 Feb13_15-26-43_WY-20230411FNEJ<br \/>\u2502 \u2502 \u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 events.out.tfevents.1707809217.WY-20230411FNEJ.27180.1<br \/>\u2502 \u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 Mar03_01-42-48_WY-20230411FNEJ<br \/>\u2502 \u2502 \u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 events.out.tfevents.1709401377.WY-20230411FNEJ.14180.1<br \/>\u2502 \u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 Feb13_20-30-17_WY-20230411FNEJ<br \/>\u2502 \u2502 \u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 events.out.tfevents.1707827433.WY-20230411FNEJ.18636.1<br \/>\u2502 \u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 Feb13_14-45-39_WY-20230411FNEJ<br \/>\u2502 \u2502 \u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 events.out.tfevents.1707806750.WY-20230411FNEJ.19832.1<br \/>\u2502 \u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 Feb13_14-20-15_WY-20230411FNEJ<br \/>\u2502 \u2502 \u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 events.out.tfevents.1707805229.WY-20230411FNEJ.10276.1<br \/>\u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 checkpoint-2800<br \/>\u2502 \u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 trainer_state.json<br \/>\u2502 \u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 adapter_model.bin<br \/>\u2502 \u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 scheduler.pt<br \/>\u2502 \u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 rng_state.pth<br \/>\u2502 \u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 training_args.bin<br \/>\u2502 \u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 optimizer.pt<br \/>\u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 checkpoint-2750<br \/>\u2502 \u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 rng_state.pth<br \/>\u2502 \u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 training_args.bin<br \/>\u2502 \u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 adapter_model.bin<br \/>\u2502 \u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 optimizer.pt<br \/>\u2502 \u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 scheduler.pt<br \/>\u2502 \u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 trainer_state.json<br \/>\u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 adapter_model.bin<br \/>\u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 adapter_config.json<br \/>\u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 README.md<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 train_data_token<br \/>\u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 state.json<br \/>\u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 data-00000-of-00001.arrow<br \/>\u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 dataset_info.json<br \/>\u2502 \u2502 \u2502 \u251c\u2500\u2500 wandb<br \/>\u2502 \u2502 \u2502 \u2502 \u251c\u2500\u2500 offline-run-20240213_140224-q9ea75ml<br \/>\u2502 \u2502 \u2502 \u2502 \u2502 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