{"id":3664,"date":"2026-06-18T19:59:12","date_gmt":"2026-06-18T11:59:12","guid":{"rendered":"https:\/\/leak1.cc\/wp\/?p=3664"},"modified":"2026-06-18T19:59:13","modified_gmt":"2026-06-18T11:59:13","slug":"ai%e5%a4%a7%e6%a8%a1%e5%9e%8b%e5%be%ae%e8%b0%83%e8%ae%ad%e7%bb%83%e8%90%a5%e7%ac%ac%e4%ba%94%e6%9c%9f%e5%ae%8c%e7%bb%93","status":"publish","type":"post","link":"https:\/\/leak1.cc\/wp\/it\/ai%e5%a4%a7%e6%a8%a1%e5%9e%8b%e5%be%ae%e8%b0%83%e8%ae%ad%e7%bb%83%e8%90%a5%e7%ac%ac%e4%ba%94%e6%9c%9f%e5%ae%8c%e7%bb%93\/","title":{"rendered":"AI\u5927\u6a21\u578b\u5fae\u8c03\u8bad\u7ec3\u8425\u7b2c\u4e94\u671f|\u5b8c\u7ed3"},"content":{"rendered":"\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/www.92ydl.com\/wp-content\/uploads\/2025\/02\/1740711109-78805a221a988e7.png\" alt=\"\"\/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/www.92ydl.com\/wp-content\/uploads\/2025\/02\/1740711123-78805a221a988e7.png\" alt=\"\"\/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/www.92ydl.com\/wp-content\/uploads\/2025\/02\/1740711150-78805a221a988e7.png\" alt=\"\"\/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/www.92ydl.com\/wp-content\/uploads\/2025\/02\/1740711194-78805a221a988e7.png\" alt=\"\"\/><\/figure>\n\n\n<p>\u251c\u2500\u2500 \u7b2c9\u7ae0<br \/>\u2502 \u251c\u2500\u2500 \u8bfe\u4ef6<br \/>\u2502 \u2502 \u251c\u2500\u2500 GLM\u8bba\u6587.zip<br \/>\u2502 \u2502 \u251c\u2500\u2500 9-GLM \u5927\u6a21\u578b\u5bb6\u65cf\u4e0eChatGLM3-6B\u5fae\u8c03\u5165\u95e8.pdf<br \/>\u2502 \u251c\u2500\u2500 2. \u57fa\u5ea7\u6a21\u578b GLM-130B.mp4<br \/>\u2502 \u251c\u2500\u2500 3. \u6269\u5c55\u6a21\u578b\uff1a\u8054\u7f51\u68c0\u7d22\u3001\u591a\u6a21\u6001\u3001\u4ee3\u7801\u751f\u6210.mp4<br \/>\u2502 \u251c\u2500\u2500 7.\u4f5c\u4e1a.txt<br \/>\u2502 \u251c\u2500\u2500 1. \u7ae0\u8282\u4ecb\u7ecd.mp4<br \/>\u2502 \u251c\u2500\u2500 4. \u5bf9\u8bdd\u6a21\u578b ChatGLM \u7cfb\u5217.mp4<br \/>\u2502 \u251c\u2500\u2500 6. \u5b9e\u6218 QLoRA \u5fae\u8c03 ChatGLM3-6B.mp4<br \/>\u2502 \u251c\u2500\u2500 5. ChatGLM3-6B \u5fae\u8c03\u5165\u95e8.mp4<br \/>\u251c\u2500\u2500 \u7b2c16\u7ae0<br \/>\u2502 \u251c\u2500\u2500 \u8bfe\u4ef6<br \/>\u2502 \u2502 \u251c\u2500\u2500 16-\u56fd\u4ea7\u5316\u5b9e\u6218\uff1a\u57fa\u4e8e\u534e\u4e3a Ascend 910 \u5fae\u8c03 ChatGLM-6B.pdf<br \/>\u2502 \u251c\u2500\u2500 5. \u534e\u4e3a\u6607\u817e\u5168\u6808 AI \u8f6f\u786c\u4ef6\u5e73\u53f0\u4ecb\u7ecd.mp4<br \/>\u2502 \u251c\u2500\u2500 3. \u539a\u79ef\u8584\u53d1\u7684\u6c5f\u6e56\u5927\u4f6c\uff1aGoogle.mp4<br \/>\u2502 \u251c\u2500\u2500 2. \u84dd\u8272\u661f\u7403\u7684\u7b97\u529b\u9738\u4e3b\uff1aNVIDIA.mp4<br \/>\u2502 \u251c\u2500\u2500 4. \u52aa\u529b\u8ffd\u8d76\u7684\u56fd\u4ea7\u65b0\u79c0\uff1a\u534e\u4e3a.mp4<br \/>\u2502 \u251c\u2500\u2500 6. \u5b9e\u6218\uff1a\u534e\u4e3a Ascend 910B \u5fae\u8c03 ChatGLM 6B \u6a21\u578b.mp4<br \/>\u2502 \u251c\u2500\u2500 1. \u7ae0\u8282\u4ecb\u7ecd.mp4<br \/>\u251c\u2500\u2500 \u7b2c17\u7ae0 \u667a\u8c31\u7ae0\u8282<br \/>\u2502 \u251c\u2500\u2500 3. 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GLM \u6a21\u578b\u90e8\u7f72\u5fae\u8c03\u5b9e\u8df5.mp4<br \/>\u251c\u2500\u2500 \u7b2c7\u7ae0<br \/>\u2502 \u251c\u2500\u2500 \u8bfe\u4ef6<br \/>\u2502 \u2502 \u251c\u2500\u2500 7-\u5927\u6a21\u578b\u9ad8\u6548\u5fae\u8c03\u5de5\u5177HF PEFT \u5165\u95e8\u4e0e\u5b9e\u6218.pdf<br \/>\u2502 \u251c\u2500\u2500 1. \u7ae0\u8282\u4ecb\u7ecd.mp4<br \/>\u2502 \u251c\u2500\u2500 2. Hugging Face PEFT \u5feb\u901f\u5165\u95e8.mp4<br \/>\u2502 \u251c\u2500\u2500 3. OpenAI Whisper \u6a21\u578b\u4ecb\u7ecd.mp4<br \/>\u2502 \u251c\u2500\u2500 5.\u4f5c\u4e1a.txt<br \/>\u2502 \u251c\u2500\u2500 4. \u5b9e\u6218 LoRA \u5fae\u8c03 Whisper-Large-v2 \u4e2d\u6587\u8bed\u97f3\u8bc6\u522b.mp4<br \/>\u251c\u2500\u2500 \u7b2c10\u7ae0<br \/>\u2502 \u251c\u2500\u2500 \u8bfe\u4ef6<br \/>\u2502 \u2502 \u251c\u2500\u2500 10-\u5b9e\u6218\u79c1\u6709\u6570\u636e\u5fae\u8c03ChatGLM3.pdf<br \/>\u2502 \u251c\u2500\u2500 3. \u5408\u6210\u6570\u636e\uff1a LangChain + GPT-3.5 Turbo.mp4<br \/>\u2502 \u251c\u2500\u2500 1. \u7ae0\u8282\u4ecb\u7ecd.mp4<br \/>\u2502 \u251c\u2500\u2500 5. \u63d0\u793a\u5de5\u7a0b\uff1a\u4fdd\u6301\u6279\u91cf\u751f\u6210\u6570\u636e\u7a33\u5b9a\u6027.mp4<br \/>\u2502 \u251c\u2500\u2500 2. \u4f7f\u7528 ChatGPT \u81ea\u52a8\u8bbe\u8ba1\u751f\u6210\u8bad\u7ec3\u6570\u636e\u7684 Prompt.mp4<br \/>\u2502 \u251c\u2500\u2500 7.\u4f5c\u4e1a.txt<br \/>\u2502 \u251c\u2500\u2500 6. \u5b9e\u6218\u79c1\u6709\u6570\u636e\u5fae\u8c03 ChatGLM3.mp4<br \/>\u2502 \u251c\u2500\u2500 4. \u6570\u636e\u589e\u5f3a\uff1a\u63d0\u5347\u8bad\u7ec3\u6570\u636e\u591a\u6837\u6027.mp4<br \/>\u251c\u2500\u2500 \u76f4\u64ad\u56de\u653e<br \/>\u2502 \u251c\u2500\u2500 10.17 \u7b2c\u56db\u6b21\u76f4\u64ad\u7b54\u7591.mp4<br \/>\u2502 \u251c\u2500\u2500 9.26 \u7b2c\u4e09\u6b21\u76f4\u64ad\u7b54\u7591.mp4<br \/>\u2502 \u251c\u2500\u2500 8.29 \u7b2c\u4e00\u6b21\u76f4\u64ad\u7b54\u7591.mp4<br \/>\u251c\u2500\u2500 \u7b2c13\u7ae0<br \/>\u2502 \u251c\u2500\u2500 \u8bfe\u4ef6<br \/>\u2502 \u2502 \u251c\u2500\u2500 13-Meta AI \u5927\u6a21\u578b LLaMA.pdf<br \/>\u2502 \u2502 \u251c\u2500\u2500 LLaMA\u8bba\u6587.zip<br \/>\u2502 \u251c\u2500\u2500 1. \u7ae0\u8282\u4ecb\u7ecd.mp4<br \/>\u2502 \u251c\u2500\u2500 3. LLaMA 1 \u884d\u751f\u6a21\u578b\u5927\u5bb6\u65cf.mp4<br \/>\u2502 \u251c\u2500\u2500 5. \u7533\u8bf7\u548c\u83b7\u53d6 LLaMA 2 \u6a21\u578b\u9884\u8bad\u7ec3\u6743\u91cd.mp4<br \/>\u2502 \u251c\u2500\u2500 4. LLaMA 2 \u5927\u6a21\u578b\u6280\u672f\u89e3\u8bfb.mp4<br \/>\u2502 \u251c\u2500\u2500 2. LLaMA 1 \u5927\u6a21\u578b\u6280\u672f\u89e3\u8bfb.mp4<br \/>\u251c\u2500\u2500 \u7b2c5\u7ae0<br \/>\u2502 \u251c\u2500\u2500 \u8bfe\u4ef6<br \/>\u2502 \u2502 \u251c\u2500\u2500 5-\u5927\u6a21\u578b\u9ad8\u6548\u5fae\u8c03\u6280\u672f\u63ed\u79d8\uff08\u4e0a\uff09.pdf<br \/>\u2502 \u2502 \u251c\u2500\u2500 Fine-tuning\u8bba\u6587.zip<br \/>\u2502 \u2502 \u251c\u2500\u2500 Instruction-Tuning\u8bba\u6587.zip<br \/>\u2502 \u251c\u2500\u2500 4. PEFT &#8211; Adapter\u6280\u672f.mp4<br \/>\u2502 \u251c\u2500\u2500 3. PEFT\u4e3b\u6d41\u6280\u672f\u5206\u7c7b\u4ecb\u7ecd.mp4<br \/>\u2502 \u251c\u2500\u2500 5. PEFT &#8211; Soft Prompt \u6280\u672f\uff08Task-specific Tuning\uff09.mp4<br \/>\u2502 \u251c\u2500\u2500 1. \u7ae0\u8282\u4ecb\u7ecd.mp4<br \/>\u2502 \u251c\u2500\u2500 6. PEFT &#8211; Soft Prompt \u6280\u672f\uff08Prompt Encoder\uff09.mp4<br \/>\u2502 \u251c\u2500\u2500 2. Before PEFT\uff1aHard Prompt Full Fine-tune.mp4<br \/>\u251c\u2500\u2500 \u7b2c6\u7ae0<br \/>\u2502 \u251c\u2500\u2500 \u8bfe\u4ef6<br \/>\u2502 \u2502 \u251c\u2500\u2500 6-\u5927\u6a21\u578b\u9ad8\u6548\u5fae\u8c03\u6280\u672f\u63ed\u79d8\uff08\u4e0b\uff09.pdf<br \/>\u2502 \u251c\u2500\u2500 5. UniPELT\uff1a\u5927\u6a21\u578bPEFT\u7edf\u4e00\u6846\u67b6.mp4<br \/>\u2502 \u251c\u2500\u2500 2. LoRA\u4f4e\u79e9\u9002\u914d\u5fae\u8c03\u6280\u672f.mp4<br \/>\u2502 \u251c\u2500\u2500 3. AdaLoRA\u81ea\u9002\u5e94\u6743\u91cd\u77e9\u9635\u5fae\u8c03\u6280\u672f.mp4<br \/>\u2502 \u251c\u2500\u2500 1. \u7ae0\u8282\u4ecb\u7ecd.mp4<br \/>\u2502 \u251c\u2500\u2500 6. (IA)3\uff1a\u6781\u7b80\u4e3b\u4e49\u589e\u91cf\u8bad\u7ec3\u65b9\u6cd5.mp4<br \/>\u2502 \u251c\u2500\u2500 4. QLoRA\u91cf\u5316\u4f4e\u79e9\u9002\u914d\u5fae\u8c03\u6280\u672f.mp4<br \/>\u251c\u2500\u2500 \u7b2c3\u7ae0<br \/>\u2502 \u251c\u2500\u2500 \u8bfe\u4ef6<br \/>\u2502 \u2502 \u251c\u2500\u2500 5-\u5927\u6a21\u578b\u5f00\u53d1\u5de5\u5177\u5e93 HF Transformers.pdf<br \/>\u2502 \u251c\u2500\u2500 2. Hugging Face Transformers\u5feb\u901f\u5165\u95e8.mp4<br \/>\u2502 \u251c\u2500\u2500 4. \u5927\u6a21\u578b\u5f00\u53d1\u73af\u5883\u642d\u5efa.mp4<br \/>\u2502 \u251c\u2500\u2500 5. \u5b9e\u6218Hugging Face Transformers\u5de5\u5177\u5e93.mp4<br \/>\u2502 \u251c\u2500\u2500 6.\u4f5c\u4e1a.txt<br \/>\u2502 \u251c\u2500\u2500 1. \u7ae0\u8282\u4ecb\u7ecd.mp4<br \/>\u2502 \u251c\u2500\u2500 3. Transformers\u6838\u5fc3\u529f\u80fd\u6a21\u5757.mp4<br \/>\u251c\u2500\u2500 \u7b2c2\u7ae0<br \/>\u2502 \u251c\u2500\u2500 \u8bfe\u4ef6<br \/>\u2502 \u2502 \u251c\u2500\u2500 \u4ee3\u7801\u94fe\u63a5\u5730\u5740.txt<br \/>\u2502 \u2502 \u251c\u2500\u2500 \u8bba\u6587.zip<br \/>\u2502 \u2502 \u251c\u2500\u2500 2-\u5927\u8bed\u8a00\u6a21\u578b\u6280\u672f\u53d1\u5c55\u4e0e\u6f14\u8fdb.pdf<br \/>\u2502 \u251c\u2500\u2500 4. \u5927\u8bed\u8a00\u6a21\u578b\uff1a\u6ce8\u610f\u529b\u673a\u5236.mp4<br \/>\u2502 \u251c\u2500\u2500 7. \u5927\u8bed\u8a00\u6a21\u578b\uff1a\u66b4\u529b\u7f8e\u5b66GPT\u7cfb\u5217\u6a21\u578b.mp4<br \/>\u2502 \u251c\u2500\u2500 1. \u7ae0\u8282\u4ecb\u7ecd.mp4<br \/>\u2502 \u251c\u2500\u2500 3. \u795e\u7ecf\u7f51\u7edc\u8bed\u8a00\u6a21\u578b.mp4<br \/>\u2502 \u251c\u2500\u2500 6. \u5927\u8bed\u8a00\u6a21\u578b\uff1aGPT-1\u4e0eBERT.mp4<br \/>\u2502 \u251c\u2500\u2500 2. \u7edf\u8ba1\u8bed\u8a00\u6a21\u578b.mp4<br \/>\u2502 \u251c\u2500\u2500 5. \u5927\u8bed\u8a00\u6a21\u578b\uff1aTransformer\u7f51\u7edc\u67b6\u6784.mp4<br \/>\u251c\u2500\u2500 \u7b2c8\u7ae0<br \/>\u2502 \u251c\u2500\u2500 \u8bfe\u4ef6<br \/>\u2502 \u2502 \u251c\u2500\u2500 8-\u5927\u6a21\u578b\u91cf\u5316\u6280\u672f\u5165\u95e8\u4e0e\u5b9e\u6218.pdf<br \/>\u2502 \u2502 \u251c\u2500\u2500 Quantization\u8bba\u6587.zip<br \/>\u2502 \u251c\u2500\u2500 1. \u7ae0\u8282\u4ecb\u7ecd.mp4<br \/>\u2502 \u251c\u2500\u2500 6. \u5b9e\u6218 Facebook OPT \u6a21\u578b\u91cf\u5316.mp4<br \/>\u2502 \u251c\u2500\u2500 5. 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AI\u5927\u6a21\u578b\u56db\u9636\u6280\u672f\u603b\u89c8\uff1aAI\u667a\u80fd\u4f53\uff08Agents\uff09.mp4<br \/>\u2502 \u251c\u2500\u2500 8. AI\u5927\u6a21\u578b\u56db\u9636\u6280\u672f\u603b\u89c8\uff1a\u9884\u8bad\u7ec3\u6280\u672f\uff08Pre-training\uff09.mp4<br \/>\u2502 \u251c\u2500\u2500 7. AI\u5927\u6a21\u578b\u56db\u9636\u6280\u672f\u603b\u89c8\uff1a\u5927\u6a21\u578b\u5fae\u8c03\uff08Fine-tuning\uff09.mp4<br \/>\u2502 \u251c\u2500\u2500 1. \u7ae0\u8282\u4ecb\u7ecd.mp4<br \/>\u2502 \u251c\u2500\u2500 3. AI\u5e94\u7528\u6d6a\u6f6e\uff1a\u9ad8\u6821\u5171\u8bc6\u3001\u7845\u8c37\u521b\u65b0\u3001\u4e2d\u7f8e\u535a\u5f08.mp4<br \/>\u2502 \u251c\u2500\u2500 2. 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