{"id":53759,"date":"2025-02-16T08:41:50","date_gmt":"2025-02-16T00:41:50","guid":{"rendered":"https:\/\/fwq.ai\/blog\/53759\/"},"modified":"2025-02-16T08:41:50","modified_gmt":"2025-02-16T00:41:50","slug":"17%e4%b8%aa%e9%ab%98%e8%b4%a8%e9%87%8fllm%e6%95%b0%e6%8d%ae%e9%9b%86","status":"publish","type":"post","link":"https:\/\/fwq.ai\/blog\/53759\/","title":{"rendered":"17\u4e2a\u9ad8\u8d28\u91cfLLM\u6570\u636e\u96c6"},"content":{"rendered":"<p>\u4ece\u751f\u6210\u56fe\u50cf\u5230\u603b\u7ed3\u590d\u6742\u7684\u7814\u7a76\u8bba\u6587\uff0cLLM \u8fc5\u901f\u6539\u53d8\u4e86\u8425\u9500\u3001\u5ba2\u6237\u670d\u52a1\u548c\u8f6f\u4ef6\u5f00\u53d1\u7b49\u884c\u4e1a\u3002\u6700\u8fd1\u7684\u4e00\u9879\u7814\u7a76\u4f30\u8ba1\uff0c\u5230 2030 \u5e74\uff0cLLM \u5e02\u573a\u5c06\u8fbe\u5230\u60ca\u4eba\u7684 361 \u4ebf\u7f8e\u5143\u3002\u4f46\u6bcf\u4e2a\u5f3a\u5927\u7684 LLM 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\u7684\u7f51\u7edc\u6570\u636e\uff0c\u901a\u8fc7\u8fc7\u6ee4\u548c\u91cd\u590d\u6570\u636e\u5220\u9664\u4e13\u6ce8\u4e8e\u53ef\u6269\u5c55\u6027\u548c\u8d28\u91cf\u3002\u5b83\u53ef\u4ee5\u72ec\u7acb\u4f7f\u7528\uff0c\u4e5f\u53ef\u4ee5\u4e0e\u7cbe\u9009\u6765\u6e90\uff08\u5982 Wikipedia \u6216 StackOverflow\uff09\u4e00\u8d77\u589e\u5f3a\uff0c\u4e3a LLM \u63d0\u4f9b\u66f4\u5168\u9762\u7684\u8bad\u7ec3\u4f53\u9a8c\u3002<\/p>\n<ul>\n<li>\u6570\u636e\u7c7b\u578b\uff1a\u4ec5\u6587\u672c\uff0c\u5e26\u6709\u6e90\u4fe1\u606f\u548c\u56fe\u50cf\u7684\u9644\u52a0\u6ce8\u91ca\u3002<\/li>\n<li>\u8bed\u8a00\uff1a\u82f1\u8bed<\/li>\n<li>\u5927\u5c0f\uff1aFalcon RefinedWeb \u6570\u636e\u96c6\u7684\u516c\u5f00\u6458\u5f55\u4f30\u8ba1\u5728 500 \u5230 650 GT \u4e4b\u95f4\uff0c\u5177\u4f53\u53d6\u51b3\u4e8e\u5904\u7406\u8fc7\u7a0b\u4e2d\u4f7f\u7528\u7684\u6807\u8bb0\u5668\u3002\u4e0b\u8f7d\u9700\u8981\u7ea6 500GB\uff0c\u89e3\u538b\u540e\u9700\u8981 2.8TB 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\u4e07\u4ebf\u4e2a\u6807\u8bb0\u3002\u8be5\u6570\u636e\u96c6\u4f18\u5148\u8003\u8651\u6559\u80b2\u4ef7\u503c\u800c\u4e0d\u662f\u7edd\u5bf9\u8d28\u91cf\uff0c\u4f7f\u5176\u6210\u4e3a\u4e13\u6ce8\u4e8e\u6559\u80b2\u76ee\u7684\u7684 LLM \u7684\u7814\u7a76\u4eba\u5458\u7684\u5b9d\u8d35\u8d44\u6e90\u3002<\/p>\n<p>\u7528\u4e8e\u8fc7\u6ee4\u6b64\u6570\u636e\u96c6\u7684\u6559\u80b2\u8d28\u91cf\u5206\u7c7b\u57fa\u4e8e\u53e6\u4e00\u4e2a LLM\uff0cLLama3-70B-Instruct \u751f\u6210\u7684\u6807\u6ce8\u3002\u503c\u5f97\u6ce8\u610f\u7684\u662f\uff0c\u7528\u4e8e\u8bad\u7ec3\u5206\u7c7b\u5668\u548c\u4f7f\u7528\u6570\u636e\u96c6\u7684\u4ee3\u7801\u53ef\u4f9b\u516c\u4f17\u4f7f\u7528\u3002\u4f7f\u7528\u6b64\u6570\u636e\u96c6\u8bad\u7ec3 LLM \u7684\u7814\u7a76\u4eba\u5458\u53ef\u80fd\u4f1a\u8003\u8651\u5c06\u5176\u4e0e\u5176\u4ed6\u66f4\u4e13\u4e1a\u7684\u6570\u636e\u96c6\u76f8\u7ed3\u5408\uff0c\u4e3a\u4ed6\u4eec\u7684\u6a21\u578b\u521b\u5efa\u66f4\u5168\u9762\u7684\u8bad\u7ec3\u4f53\u9a8c\u3002\u4f8b\u5982\uff0c\u5305\u62ec\u7279\u5b9a\u4e8e\u4ee3\u7801\u7684\u6570\u636e\u96c6\u53ef\u4ee5\u89e3\u51b3 fineweb-edu-score-2 \u4e2d\u53ef\u80fd\u7f3a\u4e4f\u4ee3\u7801\u5185\u5bb9\u7684\u95ee\u9898\u3002<\/p>\n<ul>\n<li>\u6570\u636e\u7c7b\u578b\uff1a\u4ec5\u6587\u672c\u3002\u6b64\u6570\u636e\u96c6\u4ec5\u5305\u542b\u4ece\u7f51\u9875\u4e2d\u63d0\u53d6\u7684\u6587\u672c\u5185\u5bb9\u3002<\/li>\n<li>\u8bed\u8a00\uff1a\u82f1\u8bed<\/li>\n<li>\u5927\u5c0f\uff1a5.4 \u4e07\u4ebf\u4e2a token<\/li>\n<li>\u6765\u6e90\uff1a\u6570\u636e\u6765\u6e90\u4e8e\u516c\u5f00\u53ef\u7528\u7684\u7f51\u7edc\u722c\u866b\uff08\u81ea 2013 \u5e74\u4ee5\u6765\u7684 Common Crawl\uff09\u3002<\/li>\n<\/ul>\n<p>fineweb-edu-score-2\u7684\u4e3b\u8981\u4f18\u52bf\uff1a<\/p>\n<ul>\n<li>\u63d0\u4f9b\u5927\u91cf\u6587\u672c\u6570\u636e\u7528\u4e8e\u8bad\u7ec3\u5927\u578b\u8bed\u8a00\u6a21\u578b (LLM)\u3002<\/li>\n<li>\u9488\u5bf9\u6559\u80b2\u5185\u5bb9\uff0c\u53ef\u80fd\u63d0\u9ad8 LLM \u5728\u76f8\u5173\u4efb\u52a1\u4e0a\u7684\u8868\u73b0\u3002<\/li>\n<li>\u53ef\u514d\u8d39\u7528\u4e8e\u7814\u7a76\u548c\u5f00\u53d1\u76ee\u7684\u3002<\/li>\n<\/ul>\n<h2>3\u3001cosmopedia<\/h2>\n<p> \u662f\u4e00\u4e2a\u514d\u8d39\u63d0\u4f9b\u7684\u5408\u6210\u6587\u672c\u6570\u636e\u96c6\uff08\u8d85\u8fc7 250 \u4ebf\u4e2a token\uff09\uff0c\u65e8\u5728\u8bad\u7ec3\u5927\u578b\u8bed\u8a00\u6a21\u578b (LLM)\u3002\u5b83\u5305\u542b\u5404\u79cd\u6587\u672c\u683c\u5f0f\uff0c\u5305\u62ec\u6559\u79d1\u4e66\u3001\u535a\u5ba2\u6587\u7ae0\u3001\u6545\u4e8b\u548c WikiHow \u6587\u7ae0\u3002<\/p>\n<ul>\n<li>\u5927\u5c0f\uff1a3000 \u4e07\u4e2a\u6587\u4ef6\uff0c250 \u4ebf\u4e2a token<\/li>\n<li>\u8bed\u8a00\uff1a\u82f1\u8bed<\/li>\n<li>\u6570\u636e\u7c7b\u578b\uff1a\u7eaf\u6587\u672c<\/li>\n<li>\u6765\u6e90\uff1a\u5728 Hugging Face \u4e0a\u516c\u5f00\u63d0\u4f9b<\/li>\n<li>\u5206\u5272\uff1a\u57fa\u4e8e\u79cd\u5b50\u6837\u672c\u6765\u6e90\uff08\u7f51\u7edc\u6837\u672c\u3001\u6559\u80b2\u8d44\u6e90\u7b49\uff09<\/li>\n<\/ul>\n<p>Cosmopedia\u7684\u4e3b\u8981\u4f18\u52bf\uff1a<\/p>\n<ul>\n<li>Cosmopedia \u662f\u6700\u5927\u7684\u5f00\u6e90\u5408\u6210\u6570\u636e\u96c6\uff0c\u6db5\u76d6\u5e7f\u6cdb\u7684\u4e3b\u9898\u3002<\/li>\n<li>\u5b83\u5305\u62ec\u5404\u79cd\u6587\u672c\u683c\u5f0f\uff0c\u9002\u5408\u4e0d\u540c\u7684\u5b66\u4e60\u98ce\u683c\u548c\u5e94\u7528\u3002<\/li>\n<li>\u6570\u636e\u96c6\u7ecf\u8fc7\u7cbe\u5fc3\u6311\u9009\uff0c\u5177\u6709\u6559\u80b2\u6027\u548c\u4fe1\u606f\u6027\u3002<\/li>\n<li>\u901a\u8fc7\u53ca\u65f6\u7ec6\u5316\u91c7\u53d6\u63aa\u65bd\u5c3d\u91cf\u51cf\u5c11\u91cd\u590d\u5185\u5bb9\u3002<\/li>\n<\/ul>\n<blockquote><p>\n  \u7528\u4e8e\u95ee\u7b54\u7684 LLM \u8bad\u7ec3\u6570\u636e\u96c6 <\/p>\n<p>\u5728\u95ee\u7b54\u65b9\u9762\uff0cLLM \u9700\u8981\u7684\u4e0d\u4ec5\u4ec5\u662f\u8bed\u8a00\u6280\u80fd\u3002\u4ed6\u4eec\u9700\u8981\u5177\u6709\u95ee\u7b54\u5bf9\u548c\u4e0a\u4e0b\u6587\u7684\u4e13\u95e8\u6570\u636e\u96c6\u6765\u7406\u89e3\u5b83\u4eec\u4e4b\u95f4\u7684\u5173\u7cfb\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u7528\u4e8e LLM \u95ee\u7b54\u8bad\u7ec3\u7684\u6d41\u884c\u6570\u636e\u96c6 &#8211;\n<\/p><\/blockquote>\n<h2>4\u3001rajpurkar\/squad<\/h2>\n<p> \u6570\u636e\u96c6\u662f\u65af\u5766\u798f\u95ee\u7b54\u6570\u636e\u96c6 (SQuAD)\uff0c\u65e8\u5728\u8bad\u7ec3\u95ee\u7b54\u6a21\u578b\u3002\u5b83\u7531\u5927\u91cf\uff08\u8d85\u8fc7 100,000 \u4e2a\uff09\u6765\u81ea\u7ef4\u57fa\u767e\u79d1\u6587\u7ae0\u7684\u95ee\u7b54\u5bf9\u7ec4\u6210\u3002\u6bcf\u4e2a\u95ee\u9898\u90fd\u4e0e\u7279\u5b9a\u6bb5\u843d\u76f8\u5173\u8054\uff0c\u7b54\u6848\u662f\u76f4\u63a5\u5728\u8be5\u6bb5\u843d\u4e2d\u627e\u5230\u7684\u4e00\u6bb5\u6587\u672c\u3002\u4e5f\u5b58\u5728\u95ee\u9898\u53ef\u80fd\u65e0\u6cd5\u5728\u63d0\u4f9b\u7684\u4e0a\u4e0b\u6587\u4e2d\u5f97\u5230\u56de\u7b54\u7684\u60c5\u51b5\u3002<\/p>\n<ul>\n<li>\u6570\u636e\u7c7b\u578b\uff1a\u7eaf\u6587\u672c<\/li>\n<li>\u6765\u6e90\uff1a\u516c\u5f00\u53ef\u7528 <\/li>\n<li>\u5927\u5c0f\uff1a\u4e0b\u8f7d\u5927\u5c0f\uff1a35.14 MB\uff0c\u672a\u538b\u7f29\u5927\u5c0f\uff1a89.92 MB<\/li>\n<\/ul>\n<p>rajpurkar\/squad\u7684\u4e3b\u8981\u4f18\u52bf\uff1a<\/p>\n<ul>\n<li>\u5927\u91cf\u95ee\u7b54\u5bf9\uff08100,000+\uff09<\/li>\n<li>\u63d0\u53d6\u5f0f QA\uff08\u7b54\u6848\u662f\u4e00\u6bb5\u6587\u672c\uff09<\/li>\n<li>\u652f\u6301 AI \u6a21\u578b\u4e2d\u9605\u8bfb\u7406\u89e3\u80fd\u529b\u7684\u5f00\u53d1<\/li>\n<\/ul>\n<h2>5\u3001nvidia\/OpenMathInstruct-1<\/h2>\n<p> \u6570\u636e\u96c6\u63d0\u4f9b 180 \u4e07\u4e2a\u6587\u672c\u4ee3\u7801\u5bf9\uff0c\u7528\u4e8e\u8bad\u7ec3\u5927\u578b\u8bed\u8a00\u6a21\u578b\u4ee5\u89e3\u51b3\u6570\u5b66\u95ee\u9898\u3002\u5b83\u5c06\u81ea\u7136\u8bed\u8a00\u6307\u4ee4\u4e0e Python \u4ee3\u7801\u6267\u884c\u76f8\u7ed3\u5408\uff0c\u53cd\u6620\u4e86\u73b0\u5b9e\u4e16\u754c\u7684\u573a\u666f\u3002\u6570\u636e\u96c6\u63d0\u4f9b\u6709\u5173\u6bcf\u4e2a\u95ee\u9898\u7684\u8be6\u7ec6\u4fe1\u606f\uff0c\u5305\u62ec\u89e3\u51b3\u65b9\u6848\u3001\u9884\u671f\u7b54\u6848\u548c\u6b63\u786e\u6027\u3002 OpenMathInstruct-1 \u516c\u5f00\u53ef\u7528\uff0c\u5177\u6709\u9884\u8bad\u7ec3\u6a21\u578b\uff0c\u51c6\u786e\u7387\u8d85\u8fc7 84%\uff0c\u662f\u4ece\u4e8b AI \u6570\u5b66\u6559\u5b66\u7684\u7814\u7a76\u4eba\u5458\u7684\u5b9d\u8d35\u8d44\u6e90\u3002<\/p>\n<ul>\n<li>\u5927\u5c0f\uff1a180 \u4e07\u4e2a\u95ee\u9898\u89e3\u51b3\u65b9\u6848\u5bf9<\/li>\n<li>\u6570\u636e\u7c7b\u578b\uff1a\u6587\u672c\u4ee3\u7801<\/li>\n<li>\u6765\u6e90\uff1a\u516c\u5f00\u53ef\u7528\u7684 [Hugging Face]([\u6570\u636e\u96c6 OpenMathInstruct 1])<\/li>\n<\/ul>\n<p>OpenMathInstruct-1 \u7684\u4e3b\u8981\u4f18\u52bf\uff1a<\/p>\n<ul>\n<li>\u7528\u4e8e\u8bad\u7ec3\u5927\u578b\u8bed\u8a00\u6a21\u578b (LLM) \u89e3\u51b3\u6570\u5b66\u95ee\u9898\u7684\u5927\u578b\u6570\u636e\u96c6\u3002<\/li>\n<li>\u89e3\u51b3\u65b9\u6848\u5c06\u6587\u672c\u63a8\u7406\u4e0e Python \u4ee3\u7801\u6267\u884c\u76f8\u7ed3\u5408\uff0c\u6a21\u4eff\u73b0\u5b9e\u4e16\u754c\u7684\u95ee\u9898\u89e3\u51b3\u3002<\/li>\n<li>\u6570\u636e\u96c6\u5305\u62ec\u5404\u79cd\u6570\u636e\u5b57\u6bb5\u4ee5\u4f9b\u8be6\u7ec6\u5206\u6790\uff1a\u539f\u59cb\u95ee\u9898\u3001\u751f\u6210\u7684\u89e3\u51b3\u65b9\u6848\u3001\u9884\u671f\u7b54\u6848\u3001\u9884\u6d4b\u7b54\u6848\u548c\u6b63\u786e\u6027\u6807\u5fd7\u3002<\/li>\n<li>\u5b83\u901a\u8fc7\u9884\u8bad\u7ec3\u7684 OpenMath \u6a21\u578b\u5b9e\u73b0\u4e86\u9ad8\u7cbe\u5ea6\uff08\u5728 GSM8K \u548c MATH \u57fa\u51c6\u4e0a\u9ad8\u8fbe 84.7%\uff09\u3002<\/li>\n<\/ul>\n<h2>6\u3001stanfordnlp\/SHP<\/h2>\n<p> (\u65af\u5766\u798f\u4eba\u7c7b\u504f\u597d\u6570\u636e\u96c6) &nbsp;\u6536\u96c6\u4e86 385,000 \u4efd\u4eba\u7c7b\u4e66\u5199\u7684\u56de\u590d\uff0c\u8fd9\u4e9b\u56de\u590d\u5bf9\u8bad\u7ec3 NLG \u8bc4\u4f30\u548c RLHF \u5956\u52b1\u6a21\u578b\u7684\u5e2e\u52a9\u7a0b\u5ea6\u5177\u6709\u504f\u597d\u3002\u8fd9\u4e9b\u56de\u590d\u6765\u81ea Reddit \u4e0a\u7684\u771f\u5b9e\u5bf9\u8bdd\uff0c\u6d89\u53ca\u70f9\u996a\u5efa\u8bae (askculinary) \u548c\u79d1\u5b66\u63a2\u7a76 (askscience) \u7b49\u5404\u4e2a\u9886\u57df\u3002SHP \u7684\u5173\u952e\u65b9\u9762\u5728\u4e8e\u786e\u5b9a\u54ea\u79cd\u56de\u590d\u662f\u9996\u9009\u3002\u4e0e\u4ec5\u4ec5\u4f9d\u8d56\u4e8e\u70b9\u8d5e\u6570\u7684\u6570\u636e\u96c6\u4e0d\u540c\uff0cSHP \u4f1a\u540c\u65f6\u8003\u8651\u65f6\u95f4\u6233\u548c\u70b9\u8d5e\u6570\u3002\u5982\u679c\u540e\u4e00\u6761\u8bc4\u8bba\u7684\u70b9\u8d5e\u6570\u9ad8\u4e8e\u524d\u4e00\u6761\u8bc4\u8bba\uff0c\u5219\u540e\u4e00\u6761\u8bc4\u8bba\u88ab\u8ba4\u4e3a\u66f4\u6709\u5e2e\u52a9\u548c\u66f4\u5177\u4fe1\u606f\u91cf\u3002\u8fd9\u79cd\u65b9\u6cd5\u6709\u52a9\u4e8e\u907f\u514d\u56e0\u8bc4\u8bba\u7684\u521d\u59cb\u53ef\u89c1\u6027\u800c\u5f15\u5165\u7684\u504f\u89c1\u3002<\/p>\n<ul>\n<li>\u6570\u636e\u7c7b\u578b\uff1a\u7eaf\u6587\u672c<\/li>\n<li>\u6765\u6e90\uff1a\u5728 Hugging Face \u4e0a\u516c\u5f00\u63d0\u4f9b<\/li>\n<\/ul>\n<p>SHP\u7684\u4e3b\u8981\u4f18\u52bf\uff1a<\/p>\n<ul>\n<li>\u8be5\u6570\u636e\u96c6\u5305\u542b\u5927\u91cf\u5e26\u6709\u504f\u597d\u7684\u4eba\u5de5\u4e66\u5199\u56de\u590d\u3002<\/li>\n<li>\u5b83\u6db5\u76d6\u4e86\u4e0d\u540c\u7684\u9886\u57df\uff08\u70f9\u996a\u3001\u6cd5\u5f8b\u5efa\u8bae\u7b49\uff09\u3002<\/li>\n<li>\u504f\u597d\u6807\u7b7e\u4fa7\u91cd\u4e8e\u6709\u7528\u6027\uff0c\u8fd9\u6709\u52a9\u4e8e NLG \u8bc4\u4f30\u3002<\/li>\n<\/ul>\n<h2>7\u3001Open-Orca\/OpenOrca<\/h2>\n<p>\u6570\u636e\u96c6\u662f\u4e00\u7ec4\u6587\u672c\u6761\u76ee\uff0c\u65e8\u5728\u63d0\u9ad8\u81ea\u7136\u8bed\u8a00\u5904\u7406 (NLP) \u6a21\u578b\u7684\u63a8\u7406\u80fd\u529b\u3002\u5b83\u975e\u5e38\u9002\u5408\u7814\u7a76\u4eba\u5458\u548c\u5f00\u53d1\u4eba\u5458\u8bad\u7ec3 NLP \u6a21\u578b\u4ee5\u5b8c\u6210\u95ee\u7b54\u548c\u6587\u672c\u751f\u6210\u7b49\u4efb\u52a1\u3002\u8be5\u6570\u636e\u96c6\u5c06 FLAN \u96c6\u5408\u4e2d\u7684\u73b0\u6709\u95ee\u9898\u4e0e GPT-3.5 \u6216 GPT-4 \u751f\u6210\u7684\u65b0\u7b54\u6848\u76f8\u7ed3\u5408\uff0c\u672c\u8d28\u4e0a\u4e3a\u539f\u59cb\u6570\u636e\u6dfb\u52a0\u4e86\u4e00\u5c42\u89e3\u91ca\u3002\u8fd9\u79cd\u65b9\u6cd5\u5728\u8bad\u7ec3\u9ad8\u6027\u80fd\u6a21\u578b\u65b9\u9762\u53d6\u5f97\u4e86\u6210\u529f\u3002<\/p>\n<ul>\n<li>\u5927\u5c0f\uff1a\u7ea6 420 \u4e07\u4e2a\u6761\u76ee\uff08100 \u4e07\u4e2a GPT-4 \u5b8c\u6210\uff0c320 \u4e07\u4e2a GPT-3.5 \u5b8c\u6210\uff09<\/li>\n<li>\u6570\u636e\u7c7b\u578b\uff1a\u7eaf\u6587\u672c<\/li>\n<li>\u6765\u6e90\uff1a\u5728 Hugging Face \u4e0a\u516c\u5f00\u63d0\u4f9b <\/li>\n<li>\u8bed\u8a00\uff1a\u4e3b\u8981\u662f\u82f1\u8bed<\/li>\n<\/ul>\n<p>OpenOrca\u7684\u4e3b\u8981\u4f18\u52bf\uff1a<\/p>\n<ul>\n<li>\u65e8\u5728\u63d0\u9ad8 NLP \u6a21\u578b\u7684\u63a8\u7406\u80fd\u529b\u3002<\/li>\n<li>\u5728\u8bad\u7ec3\u6a21\u578b\u4e2d\u53d6\u5f97\u4e86\u9ad8\u6027\u80fd\uff08\u4f8b\u5982\uff0cOpenOrca-Platypus2-13B \u8d85\u8d8a\u4e86 LLaMA1-65B\uff09\u3002<\/li>\n<li>\u4f7f\u7528 GPT \u751f\u6210\u7684\u54cd\u5e94\u589e\u5f3a\u73b0\u6709\u7684 FLAN \u96c6\u5408\u6570\u636e\u3002<\/li>\n<li>\u6b63\u5728\u8fdb\u884c\u4e2d\uff0c\u6570\u636e\u751f\u6210\u6b63\u5728\u8fdb\u884c\u4e2d\u3002<\/li>\n<\/ul>\n<blockquote><p>\n  \u7528\u4e8e\u6587\u672c\u5206\u7c7b\u7684 LLM \u8bad\u7ec3\u6570\u636e\u96c6 <\/p>\n<p>LLM \u9700\u8981\u5b66\u4e60\u5982\u4f55\u5c06\u6587\u672c\u5206\u7c7b\u4e3a\u7279\u5b9a\u7ec4\u4ee5\u8fdb\u884c\u6587\u672c\u5206\u7c7b\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u7528\u4e8e LLM \u6587\u672c\u5206\u7c7b\u8bad\u7ec3\u7684\u70ed\u95e8\u6570\u636e\u96c6 &#8211;\n<\/p><\/blockquote>\n<h2>8\u3001dell-research-harvard\/AmericanStories<\/h2>\n<p> \u6570\u636e\u96c6\u662f\u56fd\u4f1a\u56fe\u4e66\u9986\u63d0\u4f9b\u7684\u8fd1 2000 \u4e07\u4efd\u7f8e\u56fd\u62a5\u7eb8\u626b\u63cf\u4ef6\uff081774-1963 \u5e74\uff09\u7684\u5386\u53f2\u4fe1\u606f\u5b9d\u5e93\u3002\u5b83\u63d0\u4f9b\u9ad8\u8d28\u91cf\u6587\u672c\u548c\u539f\u59cb\u56fe\u50cf\uff0c\u514b\u670d\u4e86\u5e03\u5c40\u590d\u6742\u548c\u5149\u5b66\u5b57\u7b26\u8bc6\u522b (OCR) \u51c6\u786e\u5ea6\u4f4e\u7684\u6311\u6218\u3002\u8fd9\u4e9b\u7ed3\u6784\u5316\u6570\u636e\u5305\u62ec\u6587\u7ae0\u8be6\u7ec6\u4fe1\u606f\uff0c\u5982\u62a5\u7eb8\u540d\u79f0\u3001\u65e5\u671f\u3001\u9875\u9762\u3001\u6807\u9898\u3001\u7f72\u540d\u548c\u5168\u6587\u672c\u8eab\u3002\u7814\u7a76\u4eba\u5458\u53ef\u4ee5\u5229\u7528\u8fd9\u4e2a\u91d1\u77ff\u6765\u8bad\u7ec3\u5927\u578b\u5386\u53f2\u82f1\u8bed\u8bed\u8a00\u6a21\u578b\uff0c\u5e76\u589e\u5f3a\u4ed6\u4eec\u5bf9\u8fc7\u53bb\u7684\u7406\u89e3\u3002\u5b83\u5bf9\u793e\u4f1a\u79d1\u5b66\u7814\u7a76\u4e5f\u5f88\u6709\u4ef7\u503c\uff0c\u53ef\u4ee5\u5b8c\u6210\u4e3b\u9898\u5efa\u6a21\u548c\u53d1\u73b0\u91cd\u590d\u4f7f\u7528\u7684\u5185\u5bb9\u7b49\u4efb\u52a1\u3002<\/p>\n<ul>\n<li>\u5927\u5c0f\uff1a\u6765\u81ea Chronicling America\uff08\u56fd\u4f1a\u56fe\u4e66\u9986\uff09\u7684\u8fd1 2000 \u4e07\u4efd\u626b\u63cf\u4ef6\uff0c\u6db5\u76d6 1774-1963 \u5e74\u3002<\/li>\n<li>\u6570\u636e\u7c7b\u578b\uff1a\u6587\u672c\u56fe\u50cf\uff08\u63d0\u53d6\u7684\u6587\u672c\u548c\u539f\u59cb\u56fe\u50cf\u6570\u636e\uff09<\/li>\n<li>\u6765\u6e90\uff1a\u516c\u5171\u9886\u57df ()<\/li>\n<\/ul>\n<p>American Stories \u7684\u4e3b\u8981\u4f18\u52bf\uff1a<\/p>\n<ul>\n<li>\u8be5\u6570\u636e\u96c6\u5305\u542b\u5927\u91cf\u7f8e\u56fd\u5386\u53f2\u62a5\u7eb8\u6587\u7ae0\uff0c\u5177\u6709\u9ad8\u8d28\u91cf\u7684\u6587\u672c\u63d0\u53d6\uff08\u514b\u670d\u4e86\u590d\u6742\u5e03\u5c40\u548c\u4f4e OCR \u8d28\u91cf\u7684\u6311\u6218\uff09\u3002<\/li>\n<li>\u5b83\u5177\u6709\u7ed3\u6784\u5316\u6570\u636e\uff0c\u5305\u62ec\u6587\u7ae0\u5143\u6570\u636e\uff08\u62a5\u7eb8\u3001\u65e5\u671f\u3001\u9875\u9762\uff09\u3001\u6807\u9898\u3001\u7f72\u540d\u548c\u6587\u7ae0\u6587\u672c\u3002<\/li>\n<li>\u80fd\u591f\u5bf9\u5386\u53f2\u82f1\u8bed\u8fdb\u884c\u5927\u578b\u8bed\u8a00\u6a21\u578b\u8bad\u7ec3\uff0c\u5e76\u63d0\u9ad8\u5bf9\u5386\u53f2\u4e16\u754c\u77e5\u8bc6\u7684\u7406\u89e3\u3002<\/li>\n<li>\u5bf9\u793e\u4f1a\u79d1\u5b66\u7814\u7a76\u548c\u4e3b\u9898\u5efa\u6a21\u548c\u68c0\u6d4b\u91cd\u7528\u5185\u5bb9\u7b49\u5e94\u7528\u5f88\u6709\u4ef7\u503c\u3002<\/li>\n<li>\u516c\u5f00\u53ef\u7528\uff0c\u53ef\u4ee5\u6309\u5e74\u4efd\u6216\u5168\u90e8\u8bbf\u95ee\u3002<\/li>\n<\/ul>\n<h2>9\u3001li2017dailydialog\/daily_dialog<\/h2>\n<p>\u6570\u636e\u96c6\u662f\u4eba\u7c7b\u4e92\u52a8\u4e2d\u81ea\u7136\u5bf9\u8bdd\u7684\u516c\u5f00\u96c6\u5408\u3002\u8fd9\u4e9b\u7eaf\u6587\u672c\u5bf9\u8bdd\u6db5\u76d6\u65e5\u5e38\u8bdd\u9898\uff0c\u5305\u542b\u4e30\u5bcc\u7684\u4fe1\u606f\uff0c\u53ef\u7528\u4e8e\u8bad\u7ec3\u804a\u5929\u673a\u5668\u4eba\u548c\u8bed\u8a00\u7cfb\u7edf\u3002\u6bcf\u6761\u6d88\u606f\u90fd\u6839\u636e\u5176\u4ea4\u6d41\u610f\u56fe\uff08\u544a\u77e5\u3001\u63d0\u95ee\u7b49\uff09\u548c\u4f20\u8fbe\u7684\u60c5\u7eea\uff08\u5feb\u4e50\u3001\u60b2\u4f24\u7b49\uff09\u8fdb\u884c\u6807\u8bb0\uff0c\u8fd9\u4f7f\u5176\u5bf9\u6587\u672c\u5206\u7c7b\u4efb\u52a1\u5f88\u6709\u4ef7\u503c\u3002\u7136\u800c\uff0c\u6570\u636e\u96c6\u7684\u5927\u5c0f\u53ef\u80fd\u4f1a\u9650\u5236\u5b83\u5728\u5927\u578b\u9879\u76ee\u4e2d\u7684\u4f7f\u7528\uff0c\u800c\u4e14\u7f3a\u4e4f\u6709\u5173\u5176\u6765\u6e90\u548c\u6f5c\u5728\u504f\u89c1\u7684\u4fe1\u606f\u9700\u8981\u4ed4\u7ec6\u8003\u8651\u3002\u8fd9\u79cd\u4eba\u5de5\u7f16\u5199\u7684\u9ad8\u8d28\u91cf\u6570\u636e\u53ef\u4ee5\u8ba9\u4eba\u4eec\u4e00\u7aa5\u81ea\u7136\u5bf9\u8bdd\uff0c\u4f46\u5176\u5c40\u9650\u6027\u9700\u8981\u6df1\u601d\u719f\u8651\u5730\u5e94\u7528\u3002<\/p>\n<ul>\n<li>\u5927\u5c0f\uff1a\u4e0b\u8f7d 4.48 MB\uff0c\u63d0\u53d6 8.63 MB<\/li>\n<li>\u6570\u636e\u7c7b\u578b\uff1a\u7eaf\u6587\u672c<\/li>\n<li>\u6765\u6e90\uff1a\u516c\u5f00\u53ef\u7528<\/li>\n<li>\u8bed\u8a00\uff1a\u82f1\u8bed<\/li>\n<\/ul>\n<p>daily_dialog\u7684\u4e3b\u8981\u4f18\u52bf\uff1a<\/p>\n<ul>\n<li>\u5bf9\u8bdd\u81ea\u7136\uff0c\u6ca1\u6709\u566a\u97f3\u3002<\/li>\n<li>\u5b83\u6355\u6349\u4e86\u6765\u56de\u4ea4\u6d41\u7684\u771f\u5b9e\u5bf9\u8bdd\u3002<\/li>\n<li>\u6570\u636e\u96c6\u6db5\u76d6\u4e86\u5e7f\u6cdb\u7684\u65e5\u5e38\u4e3b\u9898\u3002<\/li>\n<li>\u5305\u62ec\u6c9f\u901a\u610f\u56fe\uff08\u901a\u77e5\u3001\u95ee\u9898\u7b49\uff09\u548c\u60c5\u7eea\u3002<\/li>\n<\/ul>\n<blockquote><p>\n  \u7528\u4e8e\u4ee3\u7801\u751f\u6210\u8bad\u7ec3\u7684 LLM \u6570\u636e\u96c6 <\/p>\n<p>\u751f\u6210\u4ee3\u7801\u9700\u8981 LLM \u4e86\u89e3\u7f16\u7a0b\u8bed\u8a00\u53ca\u5176\u80cc\u540e\u7684\u903b\u8f91\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5305\u542b\u4ee3\u7801\u793a\u4f8b\u53ca\u5176\u529f\u80fd\u7684\u6570\u636e\u96c6\uff0c\u7528\u4e8e\u8bad\u7ec3 LLM \u8fdb\u884c\u4ee3\u7801\u751f\u6210 &#8211;\n<\/p><\/blockquote>\n<h2>10\u3001bigcode\/bigcodebench<\/h2>\n<p> \u6570\u636e\u96c6\u662f\u7528\u4e8e\u8bc4\u4f30\u5927\u578b\u8bed\u8a00\u6a21\u578b (LLM) \u5728\u5b9e\u9645\u7f16\u7801\u4efb\u52a1\u4e0a\u7684\u57fa\u51c6\u3002\u5b83\u6709\u4e24\u79cd\u53d8\u4f53\uff1a\u57fa\u4e8e\u6307\u4ee4\u7684\u4ee3\u7801\u5b8c\u6210 (Complete) \u548c\u57fa\u4e8e\u81ea\u7136\u8bed\u8a00\u6307\u4ee4\u7684\u4ee3\u7801\u751f\u6210 (Instruct)\u3002\u5b83\u6e90\u81ea GPT-4-0613\uff0c\u5e76\u7ecf\u8fc7\u4eba\u7c7b\u4e13\u5bb6\u548c LLM \u7684\u6539\u8fdb\uff0c\u5305\u542b\u82f1\u8bed\u548c Python \u7684\u5404\u79cd\u7f16\u7801\u573a\u666f\u3002\u8be5\u6570\u636e\u96c6\u975e\u5e38\u9002\u5408\u7814\u7a76\u4eba\u5458\u548c\u5f00\u53d1\u4eba\u5458\u63d0\u9ad8 LLM \u7406\u89e3\u548c\u751f\u6210\u4ee3\u7801\u7684\u80fd\u529b\u3002<\/p>\n<ul>\n<li>\u6570\u636e\u7c7b\u578b\uff1a\u6587\u672c\uff08\u4ee3\u7801\u548c\u81ea\u7136\u8bed\u8a00\uff09<\/li>\n<li>\u6765\u6e90\uff1a\u5728 Hugging Face \u4e0a\u516c\u5f00\u63d0\u4f9b<\/li>\n<li>\u8bed\u8a00\uff1a\u82f1\u8bed\uff08\u81ea\u7136\u8bed\u8a00\uff09\u548c Python\uff083.0+\uff09\u4ee3\u7801<\/li>\n<li>\u6570\u636e\u5b57\u6bb5\uff1a\u5305\u62ec\u4efb\u52a1 ID\u3001\u63d0\u793a\uff08\u5b8c\u6574\u3001\u6307\u793a\u3001\u4ec5\u4ee3\u7801\uff09\u3001\u89e3\u51b3\u65b9\u6848\u4ee3\u7801\u3001\u6d4b\u8bd5\u4ee3\u7801\u3001\u6587\u6863\u5b57\u7b26\u4e32\u7ed3\u6784\u3001\u63cf\u8ff0\u3001\u6ce8\u91ca\u3001\u8981\u6c42\u3001\u53c2\u6570\u3001\u8fd4\u56de\u503c\u3001\u5f02\u5e38\u548c\u53ef\u9009\u793a\u4f8b\u3002<\/li>\n<\/ul>\n<p>BigCodeBench\u7684\u4e3b\u8981\u4f18\u52bf\uff1a<\/p>\n<ul>\n<li>\u6613\u4e8e\u4f7f\u7528\u7684\u57fa\u51c6\uff0c\u7528\u4e8e\u8bc4\u4f30 LLM \u5728\u5b9e\u9645\u7f16\u7a0b\u4efb\u52a1\u4e0a\u7684\u8868\u73b0\u3002<\/li>\n<li>\u591a\u6837\u5316\u7684\u51fd\u6570\u8c03\u7528\u548c\u590d\u6742\u7684\u6307\u4ee4\u6311\u6218 LLM \u7684\u63a8\u7406\u548c\u9075\u5faa\u6307\u4ee4\u7684\u80fd\u529b\u3002<\/li>\n<li>\u5b83\u6db5\u76d6\u4e86\u5404\u79cd\u7f16\u7a0b\u573a\u666f\uff0c\u4f7f\u5176\u5b9e\u7528\u3002<\/li>\n<\/ul>\n<h2>11\u3001mikex86\/stackoverflow-posts<\/h2>\n<p>mikex86 \u7684\u6570\u636e\u96c6\u662f\u4e00\u4e2a\u5e9e\u5927\u7684\u4ee3\u7801\u76f8\u5173\u95ee\u9898\u548c\u7b54\u6848\u96c6\u5408\uff0c\u5305\u542b 2023 \u5e74 6 \u6708 14 \u65e5\u4e4b\u524d\u6765\u81ea Stack Overflow \u7684\u5927\u7ea6 6000 \u4e07\u4e2a\u5e16\u5b50\u3002\u8be5\u6570\u636e\u96c6\u6765\u6e90\u4e8e\u516c\u5171 Internet Archive StackExchange Data Dump\uff0c\u63d0\u4f9b\u4ee5\u53ef\u8bfb Markdown \u683c\u5f0f\u683c\u5f0f\u5316\u7684\u7eaf\u6587\u672c\u6570\u636e\u3002\u6bcf\u7bc7\u5e16\u5b50\u90fd\u5305\u542b\u5176\u7c7b\u578b\uff08\u95ee\u9898\u3001\u7b54\u6848\u7b49\uff09\u3001\u5206\u6570\u548c\u76f8\u5173\u6807\u7b7e\u7b49\u8be6\u7ec6\u4fe1\u606f\uff0c\u8fd9\u5bf9\u4e8e\u5728\u4ee3\u7801\u7406\u89e3\u3001\u95ee\u9898\u89e3\u51b3\u548c\u5728\u7f16\u7a0b\u73af\u5883\u4e2d\u751f\u6210\u4e0d\u540c\u6c9f\u901a\u98ce\u683c\u7b49\u9886\u57df\u8bad\u7ec3\u5927\u578b\u8bed\u8a00\u6a21\u578b\u975e\u5e38\u6709\u7528\u3002<\/p>\n<ul>\n<li>\u5927\u5c0f\uff1a~6000 \u4e07\u4e2a\u5e16\u5b50\uff0835GB\uff0c650 \u4ebf\u4e2a\u5b57\u7b26\uff09<\/li>\n<li>\u6570\u636e\u7c7b\u578b\uff1a\u7eaf\u6587\u672c\uff08Markdown \u683c\u5f0f\uff09<\/li>\n<li>\u6765\u6e90\uff1a\u53ef\u4ece Internet Archive StackExchange Data Dump \u516c\u5f00\u83b7\u53d6<\/li>\n<\/ul>\n<p>StackOverflow Posts \u7684\u4e3b\u8981\u4f18\u52bf<\/p>\n<ul>\n<li>\u5927\u91cf\u4e0e\u4ee3\u7801\u76f8\u5173\u7684\u95ee\u9898\u548c\u7b54\u6848\u3002<\/li>\n<li>\u6587\u672c\u91c7\u7528\u53ef\u8bfb Markdown \u683c\u5f0f\u3002<\/li>\n<li>\u5b83\u5305\u62ec\u5e16\u5b50\u7c7b\u578b\u3001\u5206\u6570\u548c\u6807\u7b7e\u7b49\u9644\u52a0\u4fe1\u606f\u3002<\/li>\n<li>\u975e\u5e38\u9002\u5408 &#8211; \u5728\u7f16\u7a0b\u76f8\u5173\u4efb\u52a1\u4e2d\u8bad\u7ec3\u5927\u578b\u8bed\u8a00\u6a21\u578b\u3002<\/li>\n<\/ul>\n<blockquote><p>\n  \u533b\u7597\u884c\u4e1a\u7684 LLM \u6570\u636e\u96c6 <\/p>\n<p>\u4e3a\u533b\u7597\u9886\u57df\u91cf\u8eab\u5b9a\u5236 LLM \u4e5f\u9700\u8981\u4e13\u95e8\u7684\u6570\u636e\u3002\u67e5\u770b\u4ee5\u4e0b\u8bad\u7ec3\u6570\u636e\u96c6\uff0c\u5176\u4e2d\u5305\u62ec\u533b\u5b66\u671f\u520a\u3001\u4e34\u5e8a\u8bd5\u9a8c\u4fe1\u606f\u548c\u53bb\u8bc6\u522b\u60a3\u8005\u6570\u636e\uff0c\u4ee5\u8bad\u7ec3 LLM \u7406\u89e3\u533b\u5b66\u8bed\u8a00\u548c\u6982\u5ff5 &#8211;\n<\/p><\/blockquote>\n<h2>12\u3001chest-xray-classification<\/h2>\n<p>\u6570\u636e\u96c6\u65e8\u5728\u8bad\u7ec3\u533b\u5b66\u56fe\u50cf\u5206\u7c7b\u6a21\u578b\uff0c\u660e\u786e\u4fa7\u91cd\u4e8e\u80f8\u90e8 X \u5149\u7247\u4e2d\u7684\u80ba\u708e\u68c0\u6d4b\u3002\u8fd9\u662f\u4e00\u4e2a\u826f\u597d\u7684\u5165\u95e8\u6570\u636e\u96c6\uff0c\u53ef\u7528\u4e8e\u6784\u5efa\u57fa\u672c\u7684\u80f8\u90e8 X \u5149\u7247\u5206\u7c7b\u6a21\u578b\uff0c\u5c24\u5176\u662f\u7528\u4e8e\u80ba\u708e\u68c0\u6d4b\u3002\u4f46\u662f\uff0c\u5177\u6709\u66f4\u5e7f\u6cdb\u7c7b\u522b\u548c\u5f3a\u5927\u589e\u5f3a\u6280\u672f\u7684\u6570\u636e\u96c6\u5bf9\u4e8e\u66f4\u5168\u9762\u7684\u533b\u5b66\u8bca\u65ad\u6765\u8bf4\u4f1a\u66f4\u53ef\u53d6\u3002<\/p>\n<ul>\n<li>\u6765\u6e90\uff1aRoboflow \u4e0a\u516c\u5f00\u63d0\u4f9b\uff08\uff09<\/li>\n<li>\u5927\u5c0f\uff1a5,824 \u5f20\u56fe\u50cf\uff084,077 \u5f20\u8bad\u7ec3\u3001582 \u5f20\u6d4b\u8bd5\u30011,165 \u5f20\u9a8c\u8bc1\uff09<\/li>\n<li>\u6570\u636e\u7c7b\u578b\uff1a\u6587\u672c\u56fe\u50cf\uff08\u5e26\u6709\u6587\u672c\u6807\u7b7e\u7684\u56fe\u50cf\u6587\u4ef6\uff09<\/li>\n<\/ul>\n<p>Chest-xray-classification\u7684\u4e3b\u8981\u4f18\u52bf\uff1a<\/p>\n<ul>\n<li>\u56fe\u50cf\u88ab\u5f52\u7c7b\u4e3a\u201c\u6b63\u5e38\u201d\u6216\u201c\u80ba\u708e\u201d\uff0c\u5728\u8bad\u7ec3\u3001\u6d4b\u8bd5\u548c\u9a8c\u8bc1\u96c6\u4e4b\u95f4\u51e0\u4e4e\u5747\u5300\u5206\u5e03\u3002<\/li>\n<li>\u56fe\u50cf\u4f1a\u81ea\u52a8\u5b9a\u5411\u548c\u8c03\u6574\u5927\u5c0f\u4ee5\u4fdd\u6301\u4e00\u81f4\u6027\u3002<\/li>\n<li>\u6613\u4e8e\u8bbf\u95ee\u548c\u7528\u4e8e\u7814\u7a76\u76ee\u7684\u3002<\/li>\n<\/ul>\n<h2>13\u3001ncbi\/pubmed<\/h2>\n<p> \u662f\u4e00\u4e2a\u5e9e\u5927\u7684\u751f\u7269\u533b\u5b66\u7814\u7a76\u5f15\u6587\u548c\u6458\u8981\u6570\u636e\u96c6\uff0c\u6765\u6e90\u4e8e\u7f8e\u56fd\u56fd\u7acb\u536b\u751f\u7814\u7a76\u9662 (NIH)\u3002\u8be5\u516c\u5171\u8d44\u6e90\u5305\u542b\u8d85\u8fc7 3600 \u4e07\u4e2a\u6761\u76ee\uff0c\u6bcf\u4e2a\u6761\u76ee\u90fd\u4fa7\u91cd\u4e8e\u7279\u5b9a\u7684\u751f\u7269\u533b\u5b66\u4e3b\u9898\u3002\u6570\u636e\u5305\u62ec\u6587\u7ae0\u6807\u9898\u3001\u603b\u7ed3\u7814\u7a76\u7684\u6458\u8981\u548c\u4f5c\u8005\u4fe1\u606f\u3002\u7814\u7a76\u4eba\u5458\u53ef\u4ee5\u5229\u7528\u8fd9\u4e00\u4e30\u5bcc\u7684\u8d44\u6e90\u6765\u8bad\u7ec3\u751f\u7269\u533b\u5b66\u6982\u5ff5\u548c\u8bed\u8a00\u7684\u5927\u578b\u8bed\u8a00\u6a21\u578b (LLM)\uff0c\u4f7f LLM \u6210\u4e3a\u6587\u732e\u7efc\u8ff0\u3001\u836f\u7269\u53d1\u73b0\u548c\u86cb\u767d\u8d28\u529f\u80fd\u9884\u6d4b\u7b49\u4efb\u52a1\u7684\u5b9d\u8d35\u5de5\u5177\u3002<\/p>\n<ul>\n<li>\u975e\u5e38\u9002\u5408 &#8211; \u8bad\u7ec3\u751f\u7269\u533b\u5b66\u6982\u5ff5\u548c\u8bed\u8a00\u7684\u5927\u578b\u8bed\u8a00\u6a21\u578b (LLM)\u3002<\/li>\n<li>\u6570\u636e\u7c7b\u578b\uff1a\u7eaf\u6587\u672c\uff08\u6587\u7ae0\u6807\u9898\u3001\u6458\u8981\u3001\u4f5c\u8005\u4fe1\u606f\uff09<\/li>\n<li>\u8bed\u8a00\uff1a\u82f1\u8bed<\/li>\n<li>\u5927\u5c0f\uff1a\u975e\u5e38\u5927\uff08&gt;3600 \u4e07\u4e2a\u6761\u76ee\uff09<\/li>\n<\/ul>\n<p>pubmed\u7684\u4e3b\u8981\u4f18\u52bf\uff1a<\/p>\n<ul>\n<li>\u5b83\u6db5\u76d6\u4e86\u5e7f\u6cdb\u7684\u751f\u7269\u533b\u5b66\u4e3b\u9898\u3002<\/li>\n<li>\u6570\u636e\u96c6\u5305\u62ec\u603b\u7ed3\u7814\u7a76\u6587\u7ae0\u8981\u70b9\u7684\u6458\u8981\u3002<\/li>\n<li>\u514d\u8d39\u8bbf\u95ee\u548c\u4f7f\u7528\uff08\u6709\u4e00\u4e9b\u9650\u5236\uff09\u3002<\/li>\n<\/ul>\n<blockquote><p>\n  \u7528\u4e8e\u8bad\u7ec3\u7684\u5176\u4ed6\u6742\u9879 LLM \u6570\u636e\u96c6\n<\/p><\/blockquote>\n<h2>14\u3001nampdn-ai\/tiny-codes<\/h2>\n<p>\u6570\u636e\u96c6\u662f 160 \u4e07\u4e2a\u4ee3\u7801\u7247\u6bb5\u7684\u96c6\u5408\uff0c\u65e8\u5728\u8bad\u7ec3\u5927\u578b\u8bed\u8a00\u6a21\u578b (LLM) \u4f7f\u7528\u4ee3\u7801\u548c\u81ea\u7136\u8bed\u8a00\u8fdb\u884c\u63a8\u7406\u3002\u6b64\u6570\u636e\u96c6\u5305\u542b\u5404\u79cd\u7f16\u7a0b\u8bed\u8a00\uff08\u5982 Python\u3001JavaScript \u548c Java\uff09\u7684\u6ce8\u91ca\u4ee3\u7801\u7247\u6bb5\uff0c\u5f3a\u8c03 if\/else \u63a7\u5236\u6d41\u4ee5\u63d0\u9ad8 LLM \u7684\u63a8\u7406\u80fd\u529b\u3002\u6b64\u6570\u636e\u96c6\u5e76\u975e\u4e13\u95e8\u7528\u4e8e\u4ee3\u7801\u751f\u6210\uff0c\u800c\u662f\u7528\u4e8e\u589e\u5f3a LLM \u7406\u89e3\u81ea\u7136\u8bed\u8a00\u548c\u4ee3\u7801\u4e4b\u95f4\u8054\u7cfb\u7684\u80fd\u529b\uff0c\u4f7f\u5176\u5bf9\u8be5\u9886\u57df\u7684\u7814\u7a76\u4eba\u5458\u5f88\u6709\u4ef7\u503c\u3002<\/p>\n<ul>\n<li>\u5927\u5c0f\uff1a160 \u4e07\u4e2a\u4ee3\u7801\u7247\u6bb5<\/li>\n<li>\u6570\u636e\u7c7b\u578b\uff1a\u6587\u672c\u4ee3\u7801\uff08\u5e26\u6ce8\u91ca\u7684\u4ee3\u7801\u7247\u6bb5\uff09<\/li>\n<li>\u6765\u6e90\uff1a\u5728 Hugging Face \u4e0a\u516c\u5f00\u63d0\u4f9b<\/li>\n<\/ul>\n<p>tiny-codes\u7684\u4e3b\u8981\u4f18\u52bf\uff1a<\/p>\n<ul>\n<li>\u63d0\u9ad8 LLM \u7406\u89e3\u81ea\u7136\u8bed\u8a00\u548c\u4ee3\u7801\u4e4b\u95f4\u5173\u7cfb\u7684\u80fd\u529b\u3002<\/li>\n<li>\u7cbe\u5fc3\u7f16\u5199\u548c\u6ce8\u91ca\u7684\u4ee3\u7801\u7247\u6bb5\u4ee5\u63d0\u9ad8\u53ef\u8bfb\u6027\u3002<\/li>\n<li>\u5b83\u6db5\u76d6\u4e86 Python\u3001JavaScript\u3001Java \u7b49\uff0c\u4fc3\u8fdb\u4e86\u66f4\u5e7f\u6cdb\u7684\u7406\u89e3\u3002<\/li>\n<li>\u4f7f\u7528 if\/else \u63a7\u5236\u6d41\u6765\u589e\u5f3a LLM \u7684\u63a8\u7406\u6280\u80fd\u3002<\/li>\n<li>\u7c7b\u4f3c\u4e8e\u6709\u6548 LLM \u57f9\u8bad\u7684\u6559\u80b2\u6750\u6599\u3002<\/li>\n<li>\u5b83\u65e8\u5728\u63d0\u9ad8\u63a8\u7406\u80fd\u529b\uff0c\u800c\u4e0d\u662f\u521b\u5efa\u65b0\u4ee3\u7801\u3002<\/li>\n<li>\u975e\u5e38\u9002\u5408 &#8211; \u8bad\u7ec3 LLM \u4f7f\u7528\u4ee3\u7801\u548c\u81ea\u7136\u8bed\u8a00\u8fdb\u884c\u63a8\u7406\u3002<\/li>\n<\/ul>\n<h2>15\u3001THUDM\/LongBench<\/h2>\n<p>\u662f\u4e00\u4e2a\u516c\u5171\u6570\u636e\u96c6\uff0c\u7528\u4e8e\u8bc4\u4f30\u5927\u578b\u8bed\u8a00\u6a21\u578b\u5bf9\u957f\u6587\u672c\u6bb5\u843d\u7684\u7406\u89e3\u7a0b\u5ea6\u3002\u5b83\u6765\u81ea GitHub\uff0c\u63d0\u4f9b\u5404\u79cd\u82f1\u8bed\u548c\u4e2d\u6587\u4efb\u52a1\uff0c\u4ece\u95ee\u7b54\u548c\u603b\u7ed3\u5230\u4ee3\u7801\u5b8c\u6210\u3002\u6240\u6709\u6570\u636e\u90fd\u9075\u5faa\u4e00\u81f4\u7684\u683c\u5f0f\uff0c\u4fbf\u4e8e\u8bc4\u4f30\uff0c\u5e73\u5747\u6587\u672c\u957f\u5ea6\u5728 5,000 \u5230 15,000 \u5b57\u4e4b\u95f4\u3002\u8be5\u6570\u636e\u96c6\u5bf9\u4e8e\u63d0\u9ad8 LLM \u5728\u5197\u957f\u7684\u4e0a\u4e0b\u6587\u4e2d\u5904\u7406\u590d\u6742\u4fe1\u606f\u7684\u80fd\u529b\u7684\u7814\u7a76\u4eba\u5458\u7279\u522b\u6709\u7528\u3002<\/p>\n<ul>\n<li>\u5927\u5c0f\uff1a21 \u4e2a\u4efb\u52a1\u4e2d\u7684 4,750 \u4e2a\u6d4b\u8bd5\u6570\u636e\u70b9\u3002<\/li>\n<li>\u6570\u636e\u7c7b\u578b\uff1a\u7eaf\u6587\u672c<\/li>\n<li>\u6765\u6e90\uff1a\u5728 \u4e0a\u516c\u5f00\u63d0\u4f9b<\/li>\n<li>\u8bed\u8a00\uff1a\u82f1\u8bed\u548c\u4e2d\u6587<\/li>\n<\/ul>\n<p>LongBench\u7684\u4e3b\u8981\u4f18\u52bf\uff1a<\/p>\n<ul>\n<li>\u5b83\u8bc4\u4f30\u82f1\u8bed\u548c\u4e2d\u6587\u6587\u672c\u4e2d\u7684\u6a21\u578b\u3002<\/li>\n<li>\u5b83\u6db5\u76d6\u4e86\u95ee\u7b54\u3001\u603b\u7ed3\u3001\u5c0f\u6837\u672c\u5b66\u4e60\u548c\u4ee3\u7801\u5b8c\u6210\u7b49\u4efb\u52a1\u3002<\/li>\n<li>\u8be5\u6570\u636e\u96c6\u4e13\u6ce8\u4e8e\u9700\u8981\u7406\u89e3\u957f\u6587\u672c\u6bb5\u843d\u7684\u4efb\u52a1\u3002<\/li>\n<li>\u786e\u4fdd\u81ea\u52a8\u8bc4\u4f30\u7684\u6570\u636e\u7ed3\u6784\u4e00\u81f4\u3002<\/li>\n<li>\u5b83\u5305\u62ec\u4e00\u4e2a\u5177\u6709\u5e73\u8861\u957f\u5ea6\u5206\u5e03\u7684\u5b50\u96c6 (LongBench-E)\uff0c\u7528\u4e8e\u5206\u6790\u4e0d\u540c\u7684\u8f93\u5165\u957f\u5ea6\u3002<\/li>\n<\/ul>\n<h2>16\u3001lmsys\/chatbot_arena_conversations<\/h2>\n<p> \u6570\u636e\u96c6\u63d0\u4f9b\u4e86\u5927\u578b\u8bed\u8a00\u6a21\u578b (LLM) \u4e0e\u4eba\u7c7b\u7528\u6237\u4e4b\u95f4\u7684 33,000 \u4e2a\u57fa\u4e8e\u6587\u672c\u7684\u5bf9\u8bdd\u3002\u5b83\u5305\u62ec\u7528\u6237\u5bf9\u8fd9\u4e9b\u5bf9\u8bdd\u7684\u504f\u597d\uff0c\u8fd9\u5bf9\u4e8e\u7814\u7a76\u7528\u6237\u4e0e LLM \u7684\u4ea4\u4e92\u5f88\u6709\u4ef7\u503c\u3002\u8be5\u6570\u636e\u96c6\u5305\u542b\u6765\u81ea\u5404\u79cd LLM \u7684\u8f93\u51fa\uff0c\u5305\u62ec GPT-4 \u7b49\u9ad8\u7ea7\u6a21\u578b\uff0c\u5e76\u5177\u6709\u6765\u81ea\u771f\u5b9e\u7528\u6237\u7684\u4e0d\u53d7\u9650\u5236\u7684\u5bf9\u8bdd\u3002\u8fd9\u79cd\u4e30\u5bcc\u6027\u4f7f\u5176\u6709\u52a9\u4e8e\u7814\u7a76\u73b0\u5b9e\u4e16\u754c\u7684\u7528\u6237\u63d0\u793a\u3001\u8bad\u7ec3\u5bf9\u8bdd\u4ee3\u7406\u3001\u8bc4\u4f30 LLM \u548c\u6539\u8fdb AI \u5b89\u5168\u63aa\u65bd\u3002<\/p>\n<ul>\n<li>\u5927\u5c0f\uff1a33,000 \u4e2a\u5bf9\u8bdd<\/li>\n<li>\u6570\u636e\u7c7b\u578b\uff1a\u7eaf\u6587\u672c\uff08OpenAI API JSON \u683c\u5f0f\uff09<\/li>\n<li>\u6765\u6e90\uff1a\u5728 Hugging Face \u4e0a\u516c\u5f00\u63d0\u4f9b<\/li>\n<\/ul>\n<p>chatbot_arena_conversations \u7684\u4e3b\u8981\u4f18\u52bf\uff1a<\/p>\n<ul>\n<li>\u5b83\u5305\u62ec\u7528\u6237\u5bf9\u4e0d\u540c LLM \u4e4b\u95f4\u5bf9\u8bdd\u7684\u504f\u597d\u3002<\/li>\n<li>\u8be5\u6570\u636e\u96c6\u5305\u542b\u6765\u81ea 20 \u4e2a LLM \u7684\u8f93\u51fa\uff0c\u5305\u62ec GPT-4 \u7b49\u6700\u5148\u8fdb\u7684\u6a21\u578b\u3002<\/li>\n<li>\u5177\u6709\u6765\u81ea\u771f\u5b9e\u7528\u6237\u7684\u4e0d\u53d7\u9650\u5236\u7684\u5bf9\u8bdd\u3002<\/li>\n<li>\u5bf9\u4e8e\u7814\u7a76\u7528\u6237\u63d0\u793a\u3001\u8bad\u7ec3\u5bf9\u8bdd\u4ee3\u7406\u3001LLM \u8bc4\u4f30\u548c AI \u5b89\u5168\u5f88\u6709\u4ef7\u503c\u3002<\/li>\n<\/ul>\n<h2>17\u3001hoskinson-center\/proof-pile<\/h2>\n<p>\u6570\u636e\u96c6\u662f\u4e00\u4e2a\u5e9e\u5927\u7684\u6587\u672c\u6570\u636e\u96c6\u5408\uff0883 \u4ebf\u4e2a token\uff09\uff0c\u4e13\u95e8\u7528\u4e8e\u8bad\u7ec3\u548c\u6539\u8fdb\u4eba\u5de5\u667a\u80fd\u6a21\u578b\u5904\u7406\u6570\u5b66\u4efb\u52a1\u3002\u8be5\u6570\u636e\u96c6\u6765\u6e90\u4e8e\u7814\u7a76\u8bba\u6587\uff08arXiv\uff09\u3001\u6559\u79d1\u4e66\u3001\u5728\u7ebf\u8bba\u575b\uff08Math 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