{"config":{"lang":["en"],"separator":"[\\s\\u200b\\u3000\\-\u3001\u3002\uff0c\uff0e\uff1f\uff01\uff1b]+","pipeline":["stemmer"],"fields":{"title":{"boost":1000.0},"text":{"boost":1.0},"tags":{"boost":1000000.0}}},"docs":[{"location":"","title":"\u9996\u9875","text":"Flower Research Notes <p>\u4e00\u4e2a\u9762\u5411\u79d1\u7814\u5de5\u4f5c\u7684\u8f7b\u91cf\u77e5\u8bc6\u7ad9\uff1a\u8bb0\u5f55\u8bba\u6587\u603b\u7ed3\u3001\u77e5\u8bc6\u70b9\u5361\u7247\u4e0e\u4e13\u9898\u68b3\u7406\u3002</p> \u8bba\u6587\u603b\u7ed3 <p>\u9002\u5408\u5feb\u901f\u56de\u987e paper \u7684\u6838\u5fc3\u95ee\u9898\u3001\u65b9\u6cd5\u3001\u521b\u65b0\u70b9\u3001\u5b9e\u9a8c\u7ed3\u679c\u4e0e\u4e2a\u4eba\u8bc4\u4ef7\u3002</p> \u77e5\u8bc6\u70b9\u5361\u7247 <p>\u628a\u8bba\u6587\u91cc\u7684\u6982\u5ff5\u3001\u516c\u5f0f\u3001\u6a21\u5757\u548c\u6280\u672f\u7ec6\u8282\u62c6\u6210\u53ef\u590d\u7528\u7684\u5c0f\u5361\u7247\u3002</p> \u4e13\u9898\u68b3\u7406 <p>\u628a\u5206\u6563\u7b14\u8bb0\u4e32\u6210\u4e00\u6761\u77e5\u8bc6\u8def\u5f84\uff0c\u7528\u4e8e\u590d\u4e60\u3001\u5199\u7efc\u8ff0\u3001\u5f00\u9898\u548c\u505a\u5206\u4eab\u3002</p>"},{"location":"#_1","title":"\u63a8\u8350\u5de5\u4f5c\u6d41","text":"<ol> <li>\u4f60\u53d1\u6211\u4e00\u7bc7\u8bba\u6587\uff08PDF\u3001arXiv \u94fe\u63a5\u3001\u6807\u9898\u90fd\u53ef\u4ee5\uff09</li> <li>\u6211\u4ea7\u51fa\u4e00\u7bc7\u7ed3\u6784\u5316\u603b\u7ed3</li> <li>\u4f60\u786e\u8ba4\u540e\uff0c\u6211\u53d1\u5e03\u5230 blog</li> <li>\u5982\u6709\u5fc5\u8981\uff0c\u518d\u989d\u5916\u63d0\u53d6 2~3 \u4e2a\u77e5\u8bc6\u70b9\u5361\u7247</li> </ol>"},{"location":"#_2","title":"\u6587\u7ae0\u6a21\u677f\u98ce\u683c","text":"<p>\u8fd9\u4e2a\u7ad9\u9ed8\u8ba4\u91c7\u7528\u504f GitHub \u98ce\u683c\u7684\u6781\u7b80\u6392\u7248\uff1a</p> <ul> <li>\u767d\u5e95 / \u6df1\u8272\u53cc\u4e3b\u9898</li> <li>\u5f3a\u8c03\u53ef\u8bfb\u6027\u4e0e\u68c0\u7d22\u6548\u7387</li> <li>\u9002\u5408\u516c\u5f0f\u3001\u4ee3\u7801\u3001\u8bba\u6587\u94fe\u63a5\u548c\u7ed3\u6784\u5316\u603b\u7ed3</li> </ul>"},{"location":"#_3","title":"\u540e\u7eed\u53ef\u4ee5\u7ee7\u7eed\u52a0\u7684\u80fd\u529b","text":"<ul> <li>\u6807\u7b7e\u4e0e\u4e13\u9898\u81ea\u52a8\u805a\u5408</li> <li>\u8bba\u6587\u5f15\u7528\u4fe1\u606f\u81ea\u52a8\u89e3\u6790</li> <li>\u79c1\u6709\u8349\u7a3f / \u516c\u5f00\u6587\u7ae0\u5206\u79bb</li> <li>RSS \u4e0e\u7ad9\u5185\u5168\u6587\u641c\u7d22\u4f18\u5316</li> </ul>"},{"location":"about/","title":"\u5173\u4e8e","text":"<p>\u8fd9\u4e2a\u7ad9\u7528\u4e8e\u6c89\u6dc0\u79d1\u7814\u8fc7\u7a0b\u4e2d\u7684\u9ad8\u4ef7\u503c\u5185\u5bb9\uff0c\u4e3b\u8981\u5305\u62ec\uff1a</p> <ul> <li>\u8bba\u6587\u603b\u7ed3</li> <li>\u77e5\u8bc6\u70b9\u5361\u7247</li> <li>\u4e13\u9898\u68b3\u7406</li> <li>\u53ef\u516c\u5f00\u5206\u4eab\u7684\u9636\u6bb5\u6027\u601d\u8003</li> </ul>"},{"location":"about/#_2","title":"\u5185\u5bb9\u7ec4\u7ec7\u65b9\u5f0f","text":"<ul> <li>\u8bba\u6587\u603b\u7ed3\uff1a\u9002\u5408\u5feb\u901f\u770b\u61c2\u4e00\u7bc7 paper</li> <li>\u77e5\u8bc6\u70b9\u5361\u7247\uff1a\u9002\u5408\u6c89\u6dc0\u6982\u5ff5\u3001\u516c\u5f0f\u3001\u6a21\u5757\u4e0e\u65b9\u6cd5</li> <li>\u4e13\u9898\u68b3\u7406\uff1a\u9002\u5408\u505a\u7cfb\u7edf\u6027\u56de\u987e</li> </ul>"},{"location":"about/#_3","title":"\u53d1\u5e03\u539f\u5219","text":"<p>\u4f18\u5148\u53d1\u5e03\uff1a</p> <ul> <li>\u5df2\u516c\u5f00\u8bba\u6587\u7684\u89e3\u8bfb</li> <li>\u901a\u7528\u79d1\u7814\u77e5\u8bc6\u70b9</li> <li>\u4e0d\u6d89\u53ca\u672a\u53d1\u8868\u5de5\u4f5c\u7684\u6574\u7406\u5185\u5bb9</li> </ul> <p>\u8c28\u614e\u53d1\u5e03\uff1a</p> <ul> <li>\u672a\u53d1\u8868\u60f3\u6cd5</li> <li>\u7ec4\u5185\u5185\u90e8\u5b9e\u9a8c\u7ec6\u8282</li> <li>\u542b\u654f\u611f\u4fe1\u606f\u7684\u8349\u7a3f</li> </ul>"},{"location":"notes/","title":"\u77e5\u8bc6\u70b9\u5361\u7247","text":"<p>\u8fd9\u91cc\u8bb0\u5f55\u53ef\u590d\u7528\u3001\u53ef\u68c0\u7d22\u7684\u79d1\u7814\u77e5\u8bc6\u70b9\u3002</p> <p>\u9002\u5408\u5199\u6210\u4e00\u7bc7\u53ea\u8bb2\u4e00\u4e2a\u6982\u5ff5\u7684\u5c0f\u5361\u7247\uff0c\u4f8b\u5982\uff1a</p> <ul> <li>Transformer \u4e2d\u7684\u591a\u5934\u6ce8\u610f\u529b</li> <li>\u4ea4\u53c9\u71b5\u4e0e KL \u6563\u5ea6\u7684\u5173\u7cfb</li> <li>LoRA \u7684\u76f4\u89c9\u89e3\u91ca</li> <li>\u68c0\u7d22\u589e\u5f3a\u751f\u6210\uff08RAG\uff09\u7684\u57fa\u672c\u7ed3\u6784</li> </ul>"},{"location":"notes/transformer-attention/","title":"Transformer \u6ce8\u610f\u529b\u673a\u5236","text":"","tags":["transformer","attention"]},{"location":"notes/transformer-attention/#_1","title":"\u76f4\u89c9\u7406\u89e3","text":"<p>\u6ce8\u610f\u529b\u673a\u5236\u7684\u672c\u8d28\u662f\uff1a</p> <p>\u5bf9\u5f53\u524d token \u6765\u8bf4\uff0c\u53bb\u6240\u6709 token \u91cc\u627e\u201c\u4e0e\u6211\u6700\u76f8\u5173\u7684\u90a3\u4e9b\u4fe1\u606f\u201d\uff0c\u518d\u628a\u8fd9\u4e9b\u4fe1\u606f\u52a0\u6743\u6c47\u603b\u56de\u6765\u3002</p>","tags":["transformer","attention"]},{"location":"notes/transformer-attention/#_2","title":"\u4e3a\u4ec0\u4e48\u6709\u7528","text":"<p>\u76f8\u6bd4 RNN \u6309\u65f6\u95f4\u6b65\u9010\u6b65\u4f20\u9012\u4fe1\u606f\uff0c\u6ce8\u610f\u529b\u53ef\u4ee5\u76f4\u63a5\u5efa\u7acb\u4efb\u610f\u4e24\u4e2a\u4f4d\u7f6e\u4e4b\u95f4\u7684\u8054\u7cfb\uff0c\u56e0\u6b64\u66f4\u9002\u5408\u5efa\u6a21\u957f\u8ddd\u79bb\u4f9d\u8d56\u3002</p>","tags":["transformer","attention"]},{"location":"notes/transformer-attention/#_3","title":"\u6838\u5fc3\u516c\u5f0f","text":"\\[ \\mathrm{Attention}(Q, K, V) = \\mathrm{softmax}\\left(\\frac{QK^T}{\\sqrt{d_k}}\\right)V \\] <p>\u5176\u4e2d\uff1a</p> <ul> <li>\\(Q\\)\uff1a\u5f53\u524d\u67e5\u8be2</li> <li>\\(K\\)\uff1a\u88ab\u68c0\u7d22\u5bf9\u8c61\u7684\u952e</li> <li>\\(V\\)\uff1a\u88ab\u6c47\u603b\u5bf9\u8c61\u7684\u503c</li> </ul>","tags":["transformer","attention"]},{"location":"notes/transformer-attention/#_4","title":"\u591a\u5934\u6ce8\u610f\u529b\u7684\u610f\u4e49","text":"<p>\u591a\u5934\u6ce8\u610f\u529b\u53ef\u4ee5\u8ba9\u6a21\u578b\u5728\u4e0d\u540c\u8868\u793a\u5b50\u7a7a\u95f4\u91cc\u5e76\u884c\u5efa\u6a21\u4e0d\u540c\u7c7b\u578b\u7684\u5173\u7cfb\uff0c\u4f8b\u5982\uff1a</p> <ul> <li>\u8bed\u6cd5\u5173\u7cfb</li> <li>\u8bed\u4e49\u5bf9\u9f50</li> <li>\u957f\u7a0b\u4f9d\u8d56</li> <li>\u5c40\u90e8\u6a21\u5f0f</li> </ul>","tags":["transformer","attention"]},{"location":"papers/","title":"\u8bba\u6587\u603b\u7ed3","text":"<p>\u8fd9\u91cc\u6c47\u603b\u7ed3\u6784\u5316\u7684\u8bba\u6587\u9605\u8bfb\u7b14\u8bb0\u3002</p>"},{"location":"papers/#_2","title":"\u5efa\u8bae\u6a21\u677f","text":"<p>\u6bcf\u7bc7\u8bba\u6587\u5c3d\u91cf\u5305\u542b\u4ee5\u4e0b\u90e8\u5206\uff1a</p> <ul> <li>\u8bba\u6587\u4fe1\u606f</li> <li>\u4e00\u53e5\u8bdd\u603b\u7ed3</li> <li>\u7814\u7a76\u95ee\u9898</li> <li>\u6838\u5fc3\u65b9\u6cd5</li> <li>\u5173\u952e\u521b\u65b0\u70b9</li> <li>\u5b9e\u9a8c\u7ed3\u679c</li> <li>\u4f18\u70b9\u4e0e\u5c40\u9650</li> <li>\u6211\u7684\u7406\u89e3/\u542f\u53d1</li> </ul>"},{"location":"papers/attention-is-all-you-need/","title":"Attention Is All You Need","text":"<p>\u8bba\u6587\u94fe\u63a5</p>","tags":["transformer","attention","sequence-modeling"]},{"location":"papers/attention-is-all-you-need/#_1","title":"\u4e00\u53e5\u8bdd\u603b\u7ed3","text":"<p>\u8fd9\u7bc7\u8bba\u6587\u63d0\u51fa\u4e86 Transformer\uff0c\u7528\u7eaf\u6ce8\u610f\u529b\u673a\u5236\u66ff\u4ee3 RNN/CNN\uff0c\u663e\u8457\u63d0\u5347\u4e86\u5e8f\u5217\u5efa\u6a21\u7684\u5e76\u884c\u6027\u4e0e\u6027\u80fd\u3002</p>","tags":["transformer","attention","sequence-modeling"]},{"location":"papers/attention-is-all-you-need/#_2","title":"\u7814\u7a76\u95ee\u9898","text":"<p>\u4f20\u7edf\u5e8f\u5217\u6a21\u578b\uff08RNN\u3001LSTM\uff09\u96be\u4ee5\u5e76\u884c\uff0c\u800c\u4e14\u5efa\u6a21\u957f\u8ddd\u79bb\u4f9d\u8d56\u65f6\u6548\u7387\u8f83\u4f4e\u3002\u4f5c\u8005\u5e0c\u671b\u627e\u5230\u4e00\u79cd\u66f4\u9ad8\u6548\u7684\u5e8f\u5217\u5230\u5e8f\u5217\u5efa\u6a21\u65b9\u5f0f\u3002</p>","tags":["transformer","attention","sequence-modeling"]},{"location":"papers/attention-is-all-you-need/#_3","title":"\u6838\u5fc3\u65b9\u6cd5","text":"<p>Transformer \u7684\u6838\u5fc3\u7531\u4ee5\u4e0b\u6a21\u5757\u7ec4\u6210\uff1a</p> <ol> <li>Multi-Head Self-Attention</li> <li>Position-wise Feed-Forward Network</li> <li>Residual Connection + LayerNorm</li> <li>Positional Encoding</li> </ol> <p>\u6ce8\u610f\u529b\u8ba1\u7b97\u7684\u6838\u5fc3\u516c\u5f0f\uff1a</p> \\[ \\mathrm{Attention}(Q, K, V) = \\mathrm{softmax}\\left(\\frac{QK^T}{\\sqrt{d_k}}\\right)V \\]","tags":["transformer","attention","sequence-modeling"]},{"location":"papers/attention-is-all-you-need/#_4","title":"\u5173\u952e\u521b\u65b0\u70b9","text":"<ul> <li>\u7528 self-attention \u66ff\u4ee3\u5faa\u73af\u7ed3\u6784</li> <li>\u591a\u5934\u6ce8\u610f\u529b\u8ba9\u6a21\u578b\u4ece\u4e0d\u540c\u5b50\u7a7a\u95f4\u6355\u83b7\u5173\u7cfb</li> <li>\u7f16\u7801\u5668/\u89e3\u7801\u5668\u7ed3\u6784\u5177\u6709\u6781\u5f3a\u7684\u5e76\u884c\u6027</li> </ul>","tags":["transformer","attention","sequence-modeling"]},{"location":"papers/attention-is-all-you-need/#_5","title":"\u5b9e\u9a8c\u7ed3\u679c","text":"<p>\u5728\u673a\u5668\u7ffb\u8bd1\u4efb\u52a1\u4e0a\uff0cTransformer \u8fbe\u5230\u4e86\u5f53\u65f6\u975e\u5e38\u5f3a\u7684\u7ed3\u679c\uff0c\u540c\u65f6\u8bad\u7ec3\u901f\u5ea6\u660e\u663e\u5feb\u4e8e\u5faa\u73af\u6a21\u578b\u3002</p>","tags":["transformer","attention","sequence-modeling"]},{"location":"papers/attention-is-all-you-need/#_6","title":"\u4f18\u70b9","text":"<ul> <li>\u5e76\u884c\u53cb\u597d</li> <li>\u957f\u7a0b\u4f9d\u8d56\u5efa\u6a21\u66f4\u76f4\u63a5</li> <li>\u67b6\u6784\u6e05\u6670\uff0c\u6613\u6269\u5c55</li> </ul>","tags":["transformer","attention","sequence-modeling"]},{"location":"papers/attention-is-all-you-need/#_7","title":"\u5c40\u9650","text":"<ul> <li>\u4f4d\u7f6e\u7f16\u7801\u4e0d\u662f\u5929\u7136\u5185\u751f\u7684</li> <li>\u6ce8\u610f\u529b\u590d\u6742\u5ea6\u968f\u5e8f\u5217\u957f\u5ea6\u5e73\u65b9\u589e\u957f</li> </ul>","tags":["transformer","attention","sequence-modeling"]},{"location":"papers/attention-is-all-you-need/#_8","title":"\u6211\u7684\u7406\u89e3 / 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</ul>"},{"location":"topics/llm/","title":"\u5927\u8bed\u8a00\u6a21\u578b","text":"<p>\u8fd9\u4e2a\u4e13\u9898\u9875\u7528\u4e8e\u7ec4\u7ec7\u4e0e LLM \u76f8\u5173\u7684\u8bba\u6587\u3001\u77e5\u8bc6\u70b9\u548c\u65b9\u6cd5\u68b3\u7406\u3002</p>"},{"location":"topics/llm/#_2","title":"\u53ef\u7eb3\u5165\u7684\u5185\u5bb9","text":"<ul> <li>Transformer \u57fa\u7840</li> <li>\u9884\u8bad\u7ec3\u76ee\u6807</li> <li>\u6307\u4ee4\u5fae\u8c03</li> <li>\u5bf9\u9f50\u8bad\u7ec3</li> <li>RAG</li> <li>\u63a8\u7406\u4f18\u5316</li> <li>Agent \u7cfb\u7edf</li> </ul>"},{"location":"topics/llm/#_3","title":"\u5f53\u524d\u5173\u8054\u5185\u5bb9","text":"<ul> <li>Attention Is All You Need</li> <li>Transformer \u6ce8\u610f\u529b\u673a\u5236</li> </ul>"}]}