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2 \u76f8\u5173\u5de5\u4f5c<\/h2>\n\n\n\n

\u8fd1\u5e74\u6765\uff0c\u5927\u578b\u8bed\u8a00\u6a21\u578b\u5728\u5404\u7c7b\u4efb\u52a1\u7684\u96f6\u6837\u672c\u573a\u666f\u4e2d\u53d6\u5f97\u4e86\u6210\u529f\uff08Laskar \u7b49\u4eba\uff0c2023a\uff09\uff0c\u4e3a\u5176\u5728\u5b9e\u9645\u5de5\u4e1a\u573a\u666f\u4e2d\u7684\u65b0\u5e94\u7528\u9886\u57df\u5f00\u8f9f\u4e86\u9053\u8def\uff08Zhang \u7b49\u4eba\uff0c2025\uff1bOtani \u7b49\u4eba\uff0c2025\uff09\u3002\u8fd9\u542f\u53d1\u7814\u7a76\u4eba\u5458\u548c\u4ece\u4e1a\u8005\u5229\u7528\u5927\u578b\u8bed\u8a00\u6a21\u578b\u89e3\u51b3\u9700\u8981\u5206\u6790\u5608\u6742\u5bf9\u8bdd\u8bb0\u5f55\u7684\u590d\u6742\u4efb\u52a1\uff08Saini \u7b49\u4eba\uff0c2025\uff1bZhu \u7b49\u4eba\uff0c2025\uff1bLaskar \u7b49\u4eba\uff0c2023c\u30012024b\uff09\u3002\u6b64\u5916\uff0c\u7531\u4e8e\u5927\u578b\u8bed\u8a00\u6a21\u578b\u80fd\u751f\u6210\u7c7b\u4eba\u54cd\u5e94\uff0c\u5bf9\u8bdd\u5f0f\u4eba\u5de5\u667a\u80fd\u4ee3\u7406\u7684\u5f00\u53d1\u4e5f\u5728\u4e0d\u65ad\u63a8\u8fdb \u00b2\u3002<\/p>\n\n\n\n

\u00b2 \u53c2\u8003\u94fe\u63a5\uff1ahttps:\/\/www.genesys.com\/definitions\/what-is-conversational-ai-for-call-centers<\/a><\/p>\n\n\n\n

\u7136\u800c\uff0c\u4ee5\u5f80\u5173\u4e8e\u6784\u5efa\u5bf9\u8bdd\u5f0f\u4eba\u5de5\u667a\u80fd\u4ee3\u7406\u7684\u7814\u7a76\u5b58\u5728\u4ee5\u4e0b\u5c40\u9650\u6027\uff1a\uff081\uff09\u672a\u63a2\u8ba8\u5f53\u4f01\u4e1a\u6ca1\u6709\u4e13\u7528\u77e5\u8bc6\u5e93\u65f6\u5982\u4f55\u89e3\u51b3\u51b7\u542f\u52a8\u95ee\u9898\uff08Agrawal \u7b49\u4eba\uff0c2024\uff1bXu \u7b49\u4eba\uff0c2024\uff09\uff1b\uff082\uff09\u9700\u8981\u4eba\u5de5\u6807\u6ce8\u7684\u5927\u578b\u8bad\u7ec3\u6570\u636e\u96c6\u6765\u6784\u5efa\u4ece\u5bf9\u8bdd\u8bb0\u5f55\u4e2d\u63d0\u53d6\u4fe1\u606f\u7684\u6a21\u578b\uff0c\u800c\u5728\u5b9e\u9645\u5de5\u4e1a\u573a\u666f\u4e2d\uff0c\u8fd9\u7c7b\u6570\u636e\u96c6\u96be\u4ee5\u83b7\u53d6\uff08Fu \u7b49\u4eba\uff0c2022\uff09\uff1b\uff083\uff09\u8bc4\u4f30\u4ec5\u5c40\u9650\u4e8e\u804a\u5929\u8bb0\u5f55\uff08Zheng \u7b49\u4eba\uff0c2023b\uff09\uff0c\u5ffd\u7565\u4e86\u5608\u6742\u7684\u8bed\u97f3\u8bb0\u5f55\uff08Fu \u7b49\u4eba\uff0c2022\uff09\u3002<\/p>\n\n\n\n

\u5df2\u6709\u7814\u7a76\u8868\u660e\uff0c\u5927\u578b\u8bed\u8a00\u6a21\u578b\u5728\u5206\u6790\u5608\u6742\u5bf9\u8bdd\u8bb0\u5f55\u65b9\u9762\u5177\u6709\u826f\u597d\u6548\u679c\uff08Laskar \u7b49\u4eba\uff0c2023c\uff09\u3002\u57fa\u4e8e\u6b64\uff0c\u672c\u6587\u63d0\u51fa\u4e86\u4eba\u5de5\u667a\u80fd\u77e5\u8bc6\u8f85\u52a9\u7cfb\u7edf\uff0c\u8be5\u7cfb\u7edf\u5229\u7528\u5927\u578b\u8bed\u8a00\u6a21\u578b\u5206\u6790\u547c\u53eb\u4e2d\u5fc3\u7684\u901a\u8bdd\u8bb0\u5f55\uff0c\u5e76\u4ece\u8fd9\u4e9b\u5bf9\u8bdd\u6570\u636e\u4e2d\u4ee5\u95ee\u7b54\u5bf9\u7684\u5f62\u5f0f\u63d0\u53d6\u76f8\u5173\u77e5\u8bc6\u3002\u63d0\u53d6\u7684\u95ee\u7b54\u5bf9\u968f\u540e\u5b58\u50a8\u5728\u77e5\u8bc6\u5e93\u4e2d\uff0c\u4ee5\u89e3\u51b3\u51b7\u542f\u52a8\u95ee\u9898\u3002\u4e0e\u4ee5\u5f80\u7814\u7a76\u4e0d\u540c\uff0c\u672c\u7814\u7a76\u805a\u7126\u4e8e\u89e3\u51b3\u5b9e\u9645\u5de5\u4e1a\u573a\u666f\u4e2d\u7684\u51b7\u542f\u52a8\u95ee\u9898\uff0c\u4e14\u8be5\u7cfb\u7edf\u5b8c\u5168\u57fa\u4e8e\u5608\u6742\u7684\u5bf9\u8bdd\u8bb0\u5f55\uff0c\u4ee5\u7ecf\u6d4e\u9ad8\u6548\u7684\u65b9\u5f0f\u5f00\u53d1\u800c\u6210\u3002<\/p>\n\n\n\n

3 \u6211\u4eec\u63d0\u51fa\u7684\u65b9\u6cd5<\/h2>\n\n\n\n

\u4eba\u5de5\u667a\u80fd\u77e5\u8bc6\u8f85\u52a9\u7cfb\u7edf\u91c7\u7528\u4e09\u9636\u6bb5\u6d41\u7a0b\uff0c\u5177\u4f53\u5982\u4e0b\uff08\u89c1\u56fe 2\uff09\uff1a<\/p>\n\n\n\n

3.1 \u4ece\u5bf9\u8bdd\u8bb0\u5f55\u4e2d\u63d0\u53d6\u77e5\u8bc6<\/h3>\n\n\n\n

\u7b2c\u4e00\u6b65\u662f\u4ece\u5386\u53f2\u901a\u8bdd\u8bb0\u5f55\u4e2d\u63d0\u53d6\u6f5c\u5728\u7684\u95ee\u7b54\u5bf9\u3002\u5bf9\u4e8e\u7ed9\u5b9a\u7684\u901a\u8bdd\u8bb0\u5f55\uff0c\u901a\u8fc7\u63d0\u793a\u8bcd\u5f15\u5bfc\u5927\u578b\u8bed\u8a00\u6a21\u578b\u63d0\u53d6\u5ba2\u6237\u63d0\u51fa\u7684\u4fe1\u606f\u67e5\u8be2\u7c7b\u95ee\u9898\uff0c\u4ee5\u53ca\u4ee3\u7406\u7ed9\u51fa\u7684\u76f8\u5e94\u7b54\u6848\u3002\u7531\u4e8e\u6211\u4eec\u4f7f\u7528\u7684\u662f\u8bed\u97f3\u8bb0\u5f55\uff0c\u56e0\u6b64\u5728\u5fc5\u8981\u65f6\uff0c\u8fd8\u4f1a\u6307\u793a\u5927\u578b\u8bed\u8a00\u6a21\u578b\u5bf9\u95ee\u9898\u548c\u7b54\u6848\u8fdb\u884c\u91cd\u5199\uff08\u800c\u975e\u5355\u7eaf\u63d0\u53d6\uff09\uff0c\u786e\u4fdd\u65e0\u9700\u9605\u8bfb\u5b8c\u6574\u5bf9\u8bdd\u5c31\u80fd\u7406\u89e3\u8fd9\u4e9b\u95ee\u7b54\u5bf9\u3002\u5927\u578b\u8bed\u8a00\u6a21\u578b\u63d0\u53d6\u95ee\u7b54\u5bf9\u7684\u8fc7\u7a0b\u53ef\u8868\u793a\u4e3a\uff1a<\/p>\n\n\n\n

\\(\\left\\{(Q_{i},A_{i})\\right\\}_{i=1}^{N(T)}=LLM(T;\\theta)\\) \uff081\uff09<\/p>\n\n\n\n

\u5176\u4e2d\uff0c\\(\\theta\\) \u8868\u793a\u6a21\u578b\u53c2\u6570\uff0c\u8be5\u6a21\u578b\u540c\u65f6\u5b8c\u6210\u95ee\u7b54\u5bf9\u7684\u63d0\u53d6\u548c\u91cd\u5199\u5de5\u4f5c\u3002\\(N(T)\\) \u8868\u793a\u6a21\u578b\u4ece\u5bf9\u8bdd\u8bb0\u5f55 T \u4e2d\u63d0\u53d6\u5230\u7684\u95ee\u7b54\u5bf9\u6570\u91cf\uff0c\\((Q_{i},A_{i})\\) \u8868\u793a\u7b2c i \u4e2a\u95ee\u7b54\u5bf9\u3002\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u6211\u4eec\u4ece M \u4e2a\u5bf9\u8bdd\u8bb0\u5f55\uff08\\(T_{1},T_{2},\\dots,T_{M}\\)\uff09\u4e2d\u63d0\u53d6\u95ee\u7b54\u5bf9\u3002<\/p>\n\n\n\n

3.2 \u7528\u4e8e\u53bb\u91cd\u7684\u805a\u7c7b\u65b9\u6cd5<\/h3>\n\n\n\n

\u4ece\u4e0d\u540c\u5bf9\u8bdd\u8bb0\u5f55\u4e2d\u63d0\u53d6\u95ee\u7b54\u5bf9\u540e\uff0c\u53ef\u80fd\u4f1a\u5b58\u5728\u5197\u4f59\u95ee\u9898\uff08\u4f8b\u5982\uff0c\u8bed\u4e49\u76f8\u4f3c\u7684\u95ee\u7b54\u5bf9\u53ef\u80fd\u51fa\u73b0\u5728\u591a\u4e2a\u5bf9\u8bdd\u8bb0\u5f55\u4e2d\uff09\u3002\u82e5\u4e0d\u52a0\u4ee5\u5904\u7406\uff0c\u77e5\u8bc6\u5e93\u4e2d\u4f1a\u5305\u542b\u5927\u91cf\u5197\u4f59\u7684\u95ee\u7b54\u5bf9\u3002\u56e0\u6b64\uff0c\u7b2c\u4e8c\u6b65\u9700\u5c06\u8fd9\u4e9b\u95ee\u7b54\u5bf9\u805a\u7c7b\u4e3a\u8bed\u4e49\u76f8\u4f3c\u7684\u7ec4\uff0c\u4ee5\u4fbf\u53bb\u91cd\u548c\u7b5b\u9009\u76f8\u5173\u6027\u5f3a\u7684\u95ee\u7b54\u5bf9\u3002\u4e3a\u6b64\uff0c\u6211\u4eec\u9996\u5148\u8ba1\u7b97\u6bcf\u4e2a\u95ee\u7b54\u5bf9\u4e2d\u95ee\u9898\u5d4c\u5165\u5411\u91cf\u4e4b\u95f4\u7684\u4f59\u5f26\u8ddd\u79bb\uff0c\u516c\u5f0f\u5982\u4e0b\uff1a<\/p>\n\n\n\n

\\({dist}({q}_{i},{q}_{j})\\;=\\;1-\\frac{{q}_{i}\\cdot{q}_{j}}{\\lVert{q}_{i}\\rVert\\,\\lVert{q}_{j}\\rVert}\\) \uff082\uff09<\/p>\n\n\n\n

\u5176\u4e2d\uff0c\\({q}_{i}\\) \u548c \\({q}_{j}\\) \u5206\u522b\u8868\u793a\u7b2c i \u4e2a\u548c\u7b2c j \u4e2a\u95ee\u7b54\u5bf9\u4e2d\u95ee\u9898\u7684\u5d4c\u5165\u5411\u91cf\u3002\u6700\u540e\uff0c\u5e94\u7528\u805a\u7c7b\u7b97\u6cd5\u5bf9\u95ee\u7b54\u5bf9\u8fdb\u884c\u5206\u7ec4\uff0c\u4ee5\u6700\u5c0f\u5316\u7ec4\u5185\u8ddd\u79bb\u3001\u6700\u5927\u5316\u7ec4\u95f4\u8ddd\u79bb\u3002<\/p>\n\n\n\n

3.3 \u63a8\u8350\u5177\u6709\u4ee3\u8868\u6027\u7684\u95ee\u7b54\u5bf9<\/h3>\n\n\n\n

\u5728\u6700\u540e\u4e00\u6b65\u4e2d\uff0c\u6211\u4eec\u518d\u6b21\u5229\u7528\u5927\u578b\u8bed\u8a00\u6a21\u578b\u5904\u7406\u6bcf\u4e2a\u95ee\u7b54\u5bf9\u805a\u7c7b\u3002\u5bf9\u4e8e\u6bcf\u4e2a\u805a\u7c7b\uff0c\u6a21\u578b\u4f1a\u9009\u62e9\u4e00\u4e2a\u6216\u591a\u4e2a\u6700\u80fd\u6982\u62ec\u8be5\u805a\u7c7b\u4fe1\u606f\u7684\u4ee3\u8868\u6027\u95ee\u7b54\u5bf9\u3002\u8fd9\u4e00\u6b65\u5177\u6709\u53cc\u91cd\u76ee\u7684\uff1a\u4e00\u65b9\u9762\uff0c\u901a\u8fc7\u786e\u4fdd\u9ad8\u5ea6\u76f8\u4f3c\u7684\u95ee\u9898\u4e0d\u4f1a\u5bfc\u81f4\u5197\u4f59\u6761\u76ee\uff0c\u5b9e\u73b0\u53bb\u91cd\u548c\u7b5b\u9009\uff1b\u53e6\u4e00\u65b9\u9762\uff0c\u63a8\u8350\u683c\u5f0f\u89c4\u8303\u3001\u4fe1\u606f\u4e30\u5bcc\u7684\u95ee\u7b54\u5bf9\uff0c\u7eb3\u5165\u6700\u7ec8\u7684\u77e5\u8bc6\u5e93\u3002\u7b2c k \u4e2a\u805a\u7c7b\u4e2d\u7684\u4ee3\u8868\u6027\u95ee\u7b54\u5bf9\u53ef\u5b9a\u4e49\u4e3a\uff1a<\/p>\n\n\n\n

\\(\\mathcal{R}_{k}\\;=\\;LLM\\!\\bigl(C_{k};\\,\\theta\\bigr)\\) \uff083\uff09<\/p>\n\n\n\n

\u5176\u4e2d\uff0c\\(C_{k}\\) \u8868\u793a \\(1,\\dots,K\\) \u4e2a\u95ee\u7b54\u5bf9\u805a\u7c7b\u4e2d\u7684\u7b2c k \u4e2a\u805a\u7c7b\uff0c\\(LLM(\\,\\cdot\\,;\\theta)\\) \u8868\u793a\u5e26\u6709\u53c2\u6570 \\(\\theta\\) \u7684\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff0c\\(\\mathcal{R}_{k}\\) \u8868\u793a\u4e3a\u8be5\u805a\u7c7b\u9009\u62e9\u7684\u4ee3\u8868\u6027\u95ee\u7b54\u5bf9\u96c6\u5408\u3002\u8fd9\u4e9b\u4ee3\u8868\u6027\u95ee\u7b54\u5bf9\u65e2\u53ef\u4ee5\u76f4\u63a5\u63d2\u5165\u77e5\u8bc6\u5e93\uff0c\u4e5f\u53ef\u4ee5\u63a8\u8350\u7ed9\u77e5\u8bc6\u7ba1\u7406\u4eba\u5458\uff0c\u7ecf\u4eba\u5de5\u5ba1\u6838\u540e\u518d\u6700\u7ec8\u7eb3\u5165\u77e5\u8bc6\u5e93\u3002<\/p>\n\n\n\n

\u8868 3\uff1a\u5bf9\u8bdd\u8bb0\u5f55\u77e5\u8bc6\u63d0\u53d6\u6027\u80fd\u8868<\/strong><\/p>\n\n\n\n

\u6a21\u578b<\/th>\u7cbe\u786e\u7387<\/th>\u53ec\u56de\u7387<\/th>F1 \u5206\u6570<\/th>ROUGE-1<\/th>ROUGE-2<\/th>ROUGE-L<\/th>BERT \u5206\u6570<\/th>\u95ee\u7b54\u5bf9\u6570\u91cf<\/th><\/tr><\/thead>
Knowledge-Assist-8B-SFT\uff08\u77e5\u8bc6\u8f85\u52a9 – 8B – \u5fae\u8c03\uff09<\/td>84.88<\/td>84.85<\/td>84.86<\/td>41.26<\/td>19.68<\/td>23.87<\/td>60.12<\/td>2.4 \u4e07<\/td><\/tr>
LLaMA-3.1-8B-Instruct\uff08 llama-3.1-8B – \u6307\u4ee4\u578b\uff09<\/td>58.29<\/td>57.98<\/td>58.13<\/td>42.37<\/td>18.25<\/td>25.38<\/td>60.80<\/td>2.4 \u4e07<\/td><\/tr>
DeepSeek-R1-LLaMA-8B\uff08\u6df1\u5ea6\u63a2\u7d22 – R1-llama-8B\uff09<\/td>51.43<\/td>48.10<\/td>49.71<\/td>39.79<\/td>15.45<\/td>22.49<\/td>58.58<\/td>2.1 \u4e07<\/td><\/tr>
GPT-4o-Mini\uff08GPT-4o – \u8ff7\u4f60\u7248\uff09<\/td>74.62<\/td>68.68<\/td>71.53<\/td>49.13<\/td>23.79<\/td>29.09<\/td>67.95<\/td>2.2 \u4e07<\/td><\/tr>
Gemini-2.0-Flash\uff08 Gemini-2.0 – \u5feb\u901f\u7248\uff09<\/td>82.29<\/td>60.31<\/td>69.60<\/td>47.14<\/td>24.19<\/td>28.59<\/td>62.81<\/td>1.8 \u4e07<\/td><\/tr>
Gemini-2.0-Flash-Lite\uff08Gemini-2.0 – \u5feb\u901f\u7cbe\u7b80\u7248\uff09<\/td>72.30<\/td>58.81<\/td>64.86<\/td>47.07<\/td>23.70<\/td>28.81<\/td>62.09<\/td>2 \u4e07<\/td><\/tr>
Gemini-2.5-Flash-Lite\uff08Gemini-2.5 – \u5feb\u901f\u7cbe\u7b80\u7248\uff09<\/td>76.72<\/td>70.88<\/td>73.68<\/td>54.17<\/td>25.42<\/td>28.74<\/td>66.86<\/td>2.2 \u4e07<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

\u8868 4\uff1a\u57fa\u4e8e\u4ee3\u8868\u6027\u95ee\u7b54\u5bf9\u6700\u7ec8\u63a8\u8350\u7684\u7aef\u5230\u7aef\u6027\u80fd\u8868<\/strong><\/p>\n\n\n\n

\u6a21\u578b<\/th>\u7cbe\u786e\u7387<\/th>\u53ec\u56de\u7387<\/th>F1 \u5206\u6570<\/th>\u95ee\u7b54\u5bf9\u6570\u91cf<\/th><\/tr><\/thead>
Knowledge-Assist-8B-SFT\uff08\u77e5\u8bc6\u8f85\u52a9 – 8B – \u5fae\u8c03\uff09<\/td>91.4<\/td>92.2<\/td>91.8<\/td>1.4 \u4e07<\/td><\/tr>
Gemini-2.5-Flash-Lite\uff08Gemini-2.5 – \u5feb\u901f\u7cbe\u7b80\u7248\uff09<\/td>81.1<\/td>78.1<\/td>79.6<\/td>1.3 \u4e07<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

4 \u5b9e\u9a8c\u8bbe\u7f6e<\/h2>\n\n\n\n

4.1 \u6570\u636e\u96c6<\/h3>\n\n\n\n

\u6211\u4eec\u4e8e 2024 \u5e74 11 \u6708\u4ece Dialpad \u516c\u53f8 \u00b3 \u7684 20 \u5bb6\u5ba2\u6237\u4f01\u4e1a\u7684\u547c\u53eb\u4e2d\u5fc3\u6536\u96c6\u4e86\u771f\u5b9e\u6570\u636e\uff0c\u8fd9\u4e9b\u6570\u636e\u5305\u62ec\u7531\u81ea\u52a8\u8bed\u97f3\u8bc6\u522b\u7cfb\u7edf\u751f\u6210\u7684\u5ba2\u6237 – \u4ee3\u7406\u901a\u8bdd\u8bb0\u5f55\u3002\u5e73\u5747\u6bcf\u4e2a\u5bf9\u8bdd\u8bb0\u5f55\u5305\u542b 855 \u4e2a\u5355\u8bcd\u3002\u4e3a\u786e\u4fdd\u5ba2\u6237\u6570\u636e\u9690\u79c1\uff0c\u6211\u4eec\u4f7f\u7528\u8c37\u6b4c\u4e91\u6570\u636e\u9632\u6cc4\u6f0f\u2074\u670d\u52a1\u5bf9\u6570\u636e\u96c6\u8fdb\u884c\u4e86\u533f\u540d\u5316\u5904\u7406\u3002<\/p>\n\n\n\n

\u00b3 \u53c2\u8003\u94fe\u63a5\uff1ahttps:\/\/www.dialpad.com\/<\/a><\/p>\n\n\n\n

\u2074 \u53c2\u8003\u94fe\u63a5\uff1ahttps:\/\/cloud.google.com\/security\/products\/<\/a><\/p>\n\n\n\n

\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c\u5728\u5b9e\u9645\u573a\u666f\u4e2d\uff0c\u83b7\u53d6\u4eba\u5de5\u6807\u6ce8\u6570\u636e\u9762\u4e34\u8bf8\u591a\u6311\u6218\uff0c\u5c24\u5176\u662f\u5728\u5904\u7406\u5608\u6742\u7684\u4e1a\u52a1\u5bf9\u8bdd\u65f6\uff0c\u96be\u5ea6\u66f4\u5927\uff08Laskar \u7b49\u4eba\uff0c2022\uff09\u3002\u8003\u8651\u5230\u8fd9\u4e9b\u6311\u6218\u4ee5\u53ca\u5ba2\u6237\u7684\u6570\u636e\u9690\u79c1\u987e\u8651\uff0c\u6211\u4eec\u91c7\u7528\u63d0\u51fa\u7684\u65b9\u6cd5\uff0c\u4f7f\u7528 Gemini-2.5-Pro\u2075\u6a21\u578b\u5bf9\u6536\u96c6\u7684\u6570\u636e\u96c6\u8fdb\u884c\u6807\u6ce8\uff1a\uff081\uff09\u5229\u7528 Gemini-2.5-Pro \u4ece\u5bf9\u8bdd\u8bb0\u5f55\u4e2d\u63d0\u53d6\u95ee\u7b54\u5bf9\uff1b\uff082\uff09\u57fa\u4e8e BGE-Large\u2076\u6a21\u578b\u751f\u6210\u7684\u95ee\u9898\u5d4c\u5165\u5411\u91cf\uff0c\u4f7f\u7528 DBSCAN \u7b97\u6cd5\uff08Schubert \u7b49\u4eba\uff0c2017\uff09\u5bf9\u63d0\u53d6\u7684\u95ee\u7b54\u5bf9\u8fdb\u884c\u805a\u7c7b\uff1b\uff083\uff09\u5229\u7528 Gemini-2.5-Pro \u6a21\u578b\u9009\u62e9\u4ee3\u8868\u6027\u95ee\u7b54\u5bf9\u3002<\/p>\n\n\n\n

\u2075 \u53c2\u8003\u94fe\u63a5\uff1ahttps:\/\/deepmind.google\/models\/gemini\/pro\/<\/a><\/p>\n\n\n\n

\u2076 \u53c2\u8003\u94fe\u63a5\uff1ahttps:\/\/hf.co\/BAAI\/bge-large-en-v1.5<\/a><\/p>\n\n\n\n

\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u6211\u4eec\u6807\u6ce8\u4e86 27500 \u4e2a\u6837\u672c\uff1a\u5176\u4e2d 12500 \u4e2a\u7528\u4e8e\u77e5\u8bc6\u63d0\u53d6\uff085500 \u4e2a\u7528\u4e8e\u8bad\u7ec3\uff0c7000 \u4e2a\u7528\u4e8e\u8bc4\u4f30\uff09\uff0c15000 \u4e2a\u7528\u4e8e\u4ee3\u8868\u6027\u95ee\u7b54\u5bf9\u63a8\u8350\uff082500 \u4e2a\u7528\u4e8e\u8bad\u7ec3\uff0c12500 \u4e2a\u7528\u4e8e\u8bc4\u4f30\uff09\u3002<\/p>\n\n\n\n

4.2 \u6a21\u578b\u9009\u62e9<\/h3>\n\n\n\n

\u7531\u4e8e\u6211\u4eec\u7684\u76ee\u6807\u662f\u5728\u5b9e\u9645\u5de5\u4e1a\u573a\u666f\u4e2d\u90e8\u7f72\u8be5\u89e3\u51b3\u65b9\u6848\uff0c\u56e0\u6b64\u9009\u62e9\u6a21\u578b\u65f6\uff0c\u9700\u517c\u987e\u8f83\u9ad8\u7684\u51c6\u786e\u7387\u3001\u8f83\u5feb\u7684\u63a8\u7406\u901f\u5ea6\u548c\u8f83\u4f4e\u7684\u6210\u672c\uff08\u8be6\u89c1\u9644\u5f55 A \u7684\u6210\u672c\u5206\u6790\uff09\u3002\u7efc\u5408\u8003\u8651\u5f00\u6e90\u5927\u578b\u8bed\u8a00\u6a21\u578b\u5728\u5b9e\u9645\u573a\u666f\u4e2d\u7684\u51c6\u786e\u7387\u548c\u6548\u7387\uff08Laskar \u7b49\u4eba\uff0c2023c\uff1bFu \u7b49\u4eba\uff0c2024\uff09\uff0c\u6211\u4eec\u4e3a\u77e5\u8bc6\u63d0\u53d6\u548c\u6700\u7ec8\u63a8\u8350\u73af\u8282\u9009\u62e9\u7684\u6a21\u578b\u53c2\u6570\u89c4\u6a21\u81f3\u5c11\u4e3a 70 \u4ebf\uff08\u4e14\u4e0d\u8d85\u8fc7 100 \u4ebf\uff09\u3002\u5177\u4f53\u800c\u8a00\uff0c\u6211\u4eec\u9009\u7528\u4e86 LLaMA-3.1-8B \u6a21\u578b\uff08Dubey \u7b49\u4eba\uff0c2024\uff09\uff0c\u56e0\u4e3a\u8be5\u6a21\u578b\u5728\u5b9e\u9645\u5de5\u4e1a\u5e94\u7528\u4e2d\u5e94\u7528\u5e7f\u6cdb\u2077\u3002<\/p>\n\n\n\n

\u2077 \u53c2\u8003\u94fe\u63a5\uff1ahttps:\/\/about.fb.com\/news\/2025\/01\/organizations-using-llama-solve-industry-challenges\/<\/a><\/p>\n\n\n\n

\u5bf9\u4e8e\u95ed\u6e90\u6a21\u578b\uff0c\u6211\u4eec\u540c\u6837\u4f18\u5148\u9009\u62e9\u6027\u4ef7\u6bd4\u6700\u9ad8\u7684\u7248\u672c\u3002\u5177\u4f53\u6765\u8bf4\uff0c\u6211\u4eec\u9009\u7528\u4e86 OpenAI \u7684\u8ff7\u4f60\u7248\u2078\u6a21\u578b\u548c\u8c37\u6b4c Gemini \u7cfb\u5217\u7684\u5feb\u901f\u7248\u2079\u6a21\u578b\u3002<\/p>\n\n\n\n

\u2078 \u53c2\u8003\u94fe\u63a5\uff1ahttps:\/\/openai.com\/index\/gpt-4o-mini-advancing-cost-efficient-intelligence\/<\/a><\/p>\n\n\n\n

\u2079 \u53c2\u8003\u94fe\u63a5\uff1ahttps:\/\/deepmind.google\/models\/gemini\/flash\/<\/a><\/p>\n\n\n\n

\u5728\u805a\u7c7b\u65b9\u9762\uff0c\u6211\u4eec\u91c7\u7528 DBSCAN \u7b97\u6cd5\uff08Schubert \u7b49\u4eba\uff0c2017\uff09\u7ed3\u5408 BGE-Large \u5d4c\u5165\u5411\u91cf\uff08Xiao \u7b49\u4eba\uff0c2024\uff1bChen \u7b49\u4eba\uff0c2024\uff09\u3002\u5728\u6211\u4eec\u7684\u6570\u636e\u96c6\u4e0a\u8bc4\u4f30\u53d1\u73b0\uff0c\u8be5\u7ec4\u5408\u7684\u6027\u80fd\u4f18\u4e8e\u5176\u4ed6\u65b9\u6cd5\uff08\u5982 K-Means \u7b97\u6cd5\uff08Lloyd\uff0c1982\uff09\uff09\uff08\u8be6\u89c1\u9644\u5f55 B\uff09\u3002<\/p>\n\n\n\n

4.3 \u5b9e\u73b0\u8fc7\u7a0b<\/h3>\n\n\n\n

\u5bf9\u4e8e\u5f00\u6e90\u6a21\u578b\uff0c\u6211\u4eec\u4f7f\u7528 HuggingFace\uff08Wolf \u7b49\u4eba\uff0c2020\uff09\u8fdb\u884c\u5b9e\u73b0\uff1b\u5bf9\u4e8e\u95ed\u6e90\u6a21\u578b\uff0c\u5219\u4f7f\u7528\u76f8\u5e94\u7684 API \u63d0\u4f9b\u5546\u7684\u670d\u52a1\u3002\u5728\u6709\u76d1\u7763\u5fae\u8c03\u65b9\u9762\uff0c\u6211\u4eec\u91c7\u7528 LLaMA-3.1-8B \u6a21\u578b\uff0c\u5171\u8fd0\u884c 3 \u4e2a\u8f6e\u6b21\uff08epochs\uff09\uff0c\u6700\u5927\u5e8f\u5217\u957f\u5ea6\u8bbe\u7f6e\u4e3a 8000 \u4e2a token\uff1a\u8f93\u5165\u548c\u8f93\u51fa\u5404 4000 \u4e2a token\u3002\u5b66\u4e60\u7387\u5728 2e-4 \u5230 2e-6 \u4e4b\u95f4\uff08\u542b\u7aef\u70b9\u503c\uff09\u8fdb\u884c\u8c03\u4f18\u3002<\/p>\n\n\n\n

\u5728\u54cd\u5e94\u751f\u6210\u65b9\u9762\uff0c\u6211\u4eec\u4f7f\u7528\u6bcf\u4e2a\u6a21\u578b\u7684\u9ed8\u8ba4\u89e3\u7801\u53c2\u6570\uff08\u5f00\u6e90\u6a21\u578b\u4f7f\u7528 HuggingFace \u7684\u9ed8\u8ba4\u53c2\u6570\uff0c\u95ed\u6e90\u6a21\u578b\u4f7f\u7528 OpenAI \u548c\u8c37\u6b4c Gemini \u7684\u5b98\u65b9 API \u9ed8\u8ba4\u53c2\u6570\uff09\uff0c\u4f46\u8f93\u5165\u548c\u8f93\u51fa\u7684 token \u9650\u5236\u4e0e\u5fae\u8c03\u65f6\u4fdd\u6301\u4e00\u81f4\u3002\u6240\u6709\u5b9e\u9a8c\u5747\u5728\u914d\u5907 8 \u5757 NVIDIA A100 GPU \u7684\u673a\u5668\u4e0a\u8fd0\u884c\u3002<\/p>\n\n\n\n

4.4 \u8bc4\u4f30\u8bbe\u7f6e<\/h3>\n\n\n\n

\u7531\u4e8e\u6211\u4eec\u7684\u6570\u636e\u96c6\u662f\u7531 Gemini-2.5-Pro \u6807\u6ce8\u7684\uff0c\u82e5\u5c06\u5fae\u8c03\u6a21\u578b\u4e0e Gemini \u6807\u6ce8\u7ed3\u679c\u8fdb\u884c\u6bd4\u8f83\uff0c\u53ef\u80fd\u5b58\u5728\u504f\u5dee\uff0c\u56e0\u6b64\u6211\u4eec\u5e76\u672a\u5c06\u8bc4\u4f30\u5c40\u9650\u4e8e ROUGE\uff08Lin\uff0c2004\uff09\u6216 BERTScore\uff08Zhang \u7b49\u4eba\uff0c2019\uff09\u7b49\u57fa\u4e8e\u53c2\u8003\u7684\u6307\u6807\u3002\u53d7 \u201c\u5927\u578b\u8bed\u8a00\u6a21\u578b\u4f5c\u4e3a\u8bc4\u4f30\u8005\u201d \u8fd9\u4e00\u65b9\u6cd5\u6210\u529f\u6848\u4f8b\u7684\u542f\u53d1\uff08Gu \u7b49\u4eba\uff0c2024\uff1bLaskar \u7b49\u4eba\uff0c2024a\u30012025\uff09\uff0c\u6211\u4eec\u63d0\u51fa\u5728\u65e0\u53c2\u8003\u8bbe\u7f6e\u4e0b\uff0c\u4f7f\u7528\u5927\u578b\u8bed\u8a00\u6a21\u578b\u4f5c\u4e3a\u8bc4\u4f30\u8005\u6765\u8bc4\u4f30\u5927\u578b\u8bed\u8a00\u6a21\u578b\u751f\u6210\u7684\u8f93\u51fa\u3002<\/p>\n\n\n\n

\u4e3a\u907f\u514d\u4f7f\u7528 Gemini-2.5-Pro \u6807\u6ce8\u8bad\u7ec3\u6570\u636e\u8bad\u7ec3\u7684\u6a21\u578b\u51fa\u73b0\u81ea\u6211\u589e\u5f3a\u504f\u5dee\uff08Zheng \u7b49\u4eba\uff0c2023a\uff1bYe \u7b49\u4eba\uff0c2024\uff09\uff0c\u6211\u4eec\u6ca1\u6709\u9009\u7528 Gemini \u7cfb\u5217\u6a21\u578b\u4f5c\u4e3a\u8bc4\u4f30\u8005\u3002\u76f8\u53cd\uff0c\u8003\u8651\u5230 GPT-4o \u6a21\u578b\uff08OpenAI\uff0c2023\uff09\u5728\u5404\u7c7b\u8bc4\u4f30\u4efb\u52a1\u4e2d\u7684\u6709\u6548\u6027\uff08Xiong \u7b49\u4eba\uff0c2025\uff09\uff0c\u6211\u4eec\u9009\u7528\u5176\u4f5c\u4e3a\u8bc4\u4f30\u8005\u3002\u6211\u4eec\u660e\u786e\u6307\u793a\u8be5\u5927\u578b\u8bed\u8a00\u6a21\u578b\u8bc4\u4f30\u8005\u5b8c\u6210\u4ee5\u4e0b\u4efb\u52a1\uff1a<\/p>\n\n\n\n

\uff081\uff09\u5728\u77e5\u8bc6\u63d0\u53d6\u9636\u6bb5\uff0c\u6839\u636e\u89c4\u5219\u786e\u5b9a\u4ece\u7ed9\u5b9a\u5bf9\u8bdd\u8bb0\u5f55\u4e2d\u6b63\u786e\u63d0\u53d6\u7684\u95ee\u7b54\u5bf9\u6570\u91cf\uff1b<\/p>\n\n\n\n

\uff082\uff09\u5728\u6700\u7ec8\u63a8\u8350\u9636\u6bb5\uff0c\u6839\u636e\u89c4\u5219\u786e\u5b9a\u4ece\u7ed9\u5b9a\u805a\u7c7b\u4e2d\u6b63\u786e\u63d0\u53d6\u7684\u4ee3\u8868\u6027\u95ee\u7b54\u5bf9\u6570\u91cf\u3002<\/p>\n\n\n\n

\u57fa\u4e8e\u4e0a\u8ff0\u4fe1\u606f\uff0c\u6211\u4eec\u8ba1\u7b97\u7cbe\u786e\u7387\u3001\u53ec\u56de\u7387\u548c F1 \u5206\u6570\u3002\u5728\u805a\u7c7b\u6a21\u578b\u8bc4\u4f30\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528\u8f6e\u5ed3\u7cfb\u6570\uff08Silhouette\uff09\uff08Rousseeuw\uff0c1987\uff09\u4f5c\u4e3a\u8bc4\u4f30\u6307\u6807\u3002<\/p>\n\n\n\n

4.5 \u63d0\u793a\u8bcd\u6784\u5efa<\/h3>\n\n\n\n

\u4e3a\u6784\u5efa\u77e5\u8bc6\u63d0\u53d6\u3001\u77e5\u8bc6\u63a8\u8350\u9636\u6bb5\u4ee5\u53ca\u4f7f\u7528\u5927\u578b\u8bed\u8a00\u6a21\u578b\u8bc4\u4f30\u8005\u8fdb\u884c\u8bc4\u4f30\u6240\u9700\u7684\u63d0\u793a\u8bcd\uff0c\u6211\u4eec\u5728\u90e8\u5206\u91c7\u6837\u6570\u636e\u4e0a\u8fdb\u884c\u4e86\u5927\u91cf\u63d0\u793a\u8bcd\u5de5\u7a0b\uff0c\u4ee5\u7b5b\u9009\u51fa\u6700\u4f18\u63d0\u793a\u8bcd\u3002\u5b9e\u9a8c\u4e2d\u4f7f\u7528\u7684\u7b5b\u9009\u540e\u63d0\u793a\u8bcd\u8be6\u89c1\u9644\u5f55 C\u3002<\/p>\n\n\n\n

5 \u7ed3\u679c\u4e0e\u8ba8\u8bba<\/h2>\n\n\n\n

\u5728\u672c\u8282\u4e2d\uff0c\u6211\u4eec\u5c06\u5448\u73b0\u5b9e\u9a8c\u7ed3\u679c\u3002\u6211\u4eec\u5c06\u57fa\u4e8e LLaMA-3.1-8B \u7684\u6709\u76d1\u7763\u5fae\u8c03\uff08SFT\uff09\u6a21\u578b\u547d\u540d\u4e3a Knowledge-Assist-8B-SFT\uff08\u77e5\u8bc6\u8f85\u52a9 – 8B – \u5fae\u8c03\uff09\uff0c\u5e76\u5c06\u5176\u6027\u80fd\u4e0e\u591a\u79cd\u7ecf\u6d4e\u9ad8\u6548\u7684\u5f00\u6e90\u6a21\u578b\uff08LLaMA-3.1-8B-Instruct\uff08llama-3.1-8B – \u6307\u4ee4\u578b\uff09\u3001Deepseek-Distilled-R1-LLaMA-8B\uff08\u6df1\u5ea6\u63a2\u7d22 – \u84b8\u998f – R1-llama-8B\uff09\uff09\u548c\u95ed\u6e90\u6a21\u578b\uff08GPT-4o-Mini\uff08GPT-4o – \u8ff7\u4f60\u7248\uff09\u3001Gemini-Flash\uff08Gemini – \u5feb\u901f\u7248\uff09\uff09\u8fdb\u884c\u6bd4\u8f83\u3002\u4e0b\u6587\u8be6\u7ec6\u7684\u5b9e\u9a8c\u7ed3\u679c\u5c06\u91cd\u70b9\u5c55\u793a\u6240\u63d0\u51fa\u7cfb\u7edf\u5728\u77e5\u8bc6\u63d0\u53d6\u548c\u63a8\u8350\u5173\u952e\u9636\u6bb5\u7684\u6027\u80fd\u3002<\/p>\n\n\n\n

5.1 \u4ece\u5bf9\u8bdd\u8bb0\u5f55\u4e2d\u63d0\u53d6\u77e5\u8bc6\u7684\u6027\u80fd<\/h3>\n\n\n\n

\u5982\u8868 1 \u6240\u793a\uff0c\u6211\u4eec\u57fa\u4e8e LLaMA-3.1-8B \u6784\u5efa\u7684\u5fae\u8c03\u6a21\u578b Knowledge-Assist-8B-SFT\uff08\u77e5\u8bc6\u8f85\u52a9 – 8B – \u5fae\u8c03\uff09\u5728\u77e5\u8bc6\u63d0\u53d6\u4efb\u52a1\u7684\u7cbe\u786e\u7387\u3001\u53ec\u56de\u7387\u548c F1 \u5206\u6570\u4e0a\u5747\u8868\u73b0\u6700\u4f73\uff0c\u8d85\u8fc7\u4e86\u95ed\u6e90\u548c\u5f00\u6e90\u7684\u96f6\u6837\u672c\u57fa\u7ebf\u6a21\u578b\u3002\u5177\u4f53\u800c\u8a00\uff0c\u8be5\u6a21\u578b\u7684 F1 \u5206\u6570\u8fbe\u5230 84.86%\uff0c\u8d85\u8fc7\u4e86 GPT-4o-Mini\uff0871.53%\uff09\u548c Gemini-2.5-Flash-Lite\uff0873.68%\uff09\u3002\u8fd9\u8868\u660e\uff0c\u5728\u8f83\u5927\u89c4\u6a21\u7684\u5927\u578b\u8bed\u8a00\u6a21\u578b\u6807\u6ce8\u5185\u90e8\u6570\u636e\u96c6\u4e0a\u8fdb\u884c\u5fae\u8c03\uff0c\u5bf9\u5b8c\u6210\u8be5\u4efb\u52a1\u5177\u6709\u663e\u8457\u6548\u679c\u3002<\/p>\n\n\n\n

\u5728\u57fa\u4e8e\u53c2\u8003\u7684\u8bbe\u7f6e\u4e2d\uff0c\u90e8\u5206\u95ed\u6e90\u6a21\u578b\uff08\u5982 Gemini-2.5-Flash-Lite\uff08Gemini-2.5 – \u5feb\u901f\u7cbe\u7b80\u7248\uff09\uff09\u5728\u81ea\u52a8\u6307\u6807\uff08\u5982 ROUGE \u548c BERTScore\uff09\u4e0a\u8868\u73b0\u51fa\u8f83\u5f3a\u6027\u80fd\u3002\u7136\u800c\uff0c\u6211\u4eec\u8bc4\u4f30\u6570\u636e\u96c6\u4e2d\u7684\u53c2\u8003\u6807\u6ce8\u662f\u7531 Gemini \u7cfb\u5217\u4e2d\u6027\u80fd\u6700\u5f3a\u7684 Gemini-2.5-Pro \u6a21\u578b\u5b8c\u6210\u7684\u3002\u76f8\u6bd4\u4e4b\u4e0b\uff0c\u5728\u65e0\u53c2\u8003\u8bbe\u7f6e\u4e0b\uff0c\u7ecf\u72ec\u7acb\u5927\u578b\u8bed\u8a00\u6a21\u578b\u8bc4\u4f30\u8005\uff08GPT-4o\uff09\u8bc4\u4f30\uff0c\u6211\u4eec\u7684 Knowledge-Assist-8B-SFT\uff08\u77e5\u8bc6\u8f85\u52a9 – 8B – \u5fae\u8c03\uff09\u6a21\u578b\u4ecd\u4fdd\u6301\u7ade\u4e89\u4f18\u52bf\u3002\u8fd9\u4e9b\u53d1\u73b0\u8868\u660e\uff0c\u5728\u5b9e\u9645\u573a\u666f\u4e2d\uff0c\u5f53\u6570\u636e\u96c6\u7531\u5927\u578b\u8bed\u8a00\u6a21\u578b\u6807\u6ce8\u65f6\uff0c\u4f7f\u7528\u65e0\u53c2\u8003\u6307\u6807\u6709\u52a9\u4e8e\u964d\u4f4e\u8bc4\u4f30\u504f\u5dee\u3002<\/p>\n\n\n\n

\u56fe 3\uff1aKnowledge-Assist-8B-SFT\uff08\u77e5\u8bc6\u8f85\u52a9 – 8B – \u5fae\u8c03\uff09\u6a21\u578b\u5728\u4e0d\u540c\u884c\u4e1a\u7c7b\u578b\u4e2d\u6700\u7ec8\u63a8\u8350\u4ee3\u8868\u6027\u95ee\u7b54\u5bf9\u7684 F1 \u5206\u6570<\/strong><\/p>\n\n\n\n

\u884c\u4e1a\u7c7b\u578b<\/th>F1 \u5206\u6570<\/th><\/tr><\/thead>
\u6559\u80b2<\/td>86<\/td><\/tr>
\u653f\u5e9c<\/td>87<\/td><\/tr>
\u4ea4\u901a<\/td>89<\/td><\/tr>
\u77ff\u4ea7\u5f00\u91c7<\/td>90<\/td><\/tr>
\u6148\u5584<\/td>91<\/td><\/tr>
\u9152\u5e97\u9910\u996e<\/td>91<\/td><\/tr>
\u5efa\u7b51<\/td>92<\/td><\/tr>
\u96f6\u552e<\/td>93<\/td><\/tr>
\u63a7\u80a1\u96c6\u56e2<\/td>93<\/td><\/tr>
\u5a92\u4f53\u4e92\u8054\u7f51<\/td>93<\/td><\/tr>
\u519c\u4e1a<\/td>93<\/td><\/tr>
\u4e13\u4e1a\u670d\u52a1<\/td>94<\/td><\/tr>
\u5f8b\u5e08\u4e8b\u52a1\u6240\u53ca\u6cd5\u5f8b\u670d\u52a1<\/td>94<\/td><\/tr>
\u5546\u4e1a\u670d\u52a1<\/td>94<\/td><\/tr>
\u6d88\u8d39\u8005\u670d\u52a1<\/td>94<\/td><\/tr>
\u80fd\u6e90\u3001\u516c\u7528\u4e8b\u4e1a\u53ca\u5e9f\u5f03\u7269\u5904\u7406<\/td>95<\/td><\/tr>
\u8f6f\u4ef6<\/td>95<\/td><\/tr>
\u5236\u9020\u4e1a<\/td>96<\/td><\/tr>
\u7535\u4fe1<\/td>99<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

\uff08\u5206\u6570\u8303\u56f4\uff1a80.0-100.0\uff09<\/p>\n\n\n\n

5.2 \u7528\u4e8e\u53bb\u91cd\u7684\u805a\u7c7b\u7ed3\u679c<\/h3>\n\n\n\n

\u4eba\u5de5\u667a\u80fd\u77e5\u8bc6\u8f85\u52a9\u7cfb\u7edf\u7684\u4e0b\u4e00\u6b65\u662f\u805a\u7c7b\uff0c\u5373\u6839\u636e\u95ee\u9898\u5d4c\u5165\u5411\u91cf\u4e4b\u95f4\u7684\u76f8\u4f3c\u5ea6\uff0c\u5c06\u76f8\u4f3c\u7684\u95ee\u7b54\u5bf9\u5f52\u4e3a\u540c\u4e00\u805a\u7c7b\u3002\u6211\u4eec\u4ece\u77e5\u8bc6\u63d0\u53d6\u9636\u6bb5\u4e2d\u9009\u53d6\u4e86\u8868\u73b0\u6700\u4f73\u7684\u4e24\u4e2a\u6a21\u578b \u2014\u2014Knowledge-Assist-8B-SFT\uff08\u77e5\u8bc6\u8f85\u52a9 – 8B – \u5fae\u8c03\uff09\u6a21\u578b\u548c Gemini-2.5-Flash-Lite\uff08Gemini-2.5 – \u5feb\u901f\u7cbe\u7b80\u7248\uff09\u6a21\u578b\uff08\u89c1\u8868 1\uff09\uff0c\u5e76\u4f7f\u7528 DBSCAN \u7b97\u6cd5\uff08Schubert \u7b49\u4eba\uff0c2017\uff09\u7ed3\u5408 BGE-Large \u5d4c\u5165\u5411\u91cf\uff08Chen \u7b49\u4eba\uff0c2024\uff09\uff0c\u5c06\u63d0\u53d6\u7684\u95ee\u7b54\u5bf9\u6309\u8bed\u4e49\u76f8\u4f3c\u6027\u5206\u7ec4\u3002<\/p>\n\n\n\n

\u805a\u7c7b\u5b9e\u9a8c\u7ed3\u679c\u663e\u793a\uff0cGemini-2.5-Flash-Lite\uff08Gemini-2.5 – \u5feb\u901f\u7cbe\u7b80\u7248\uff09\u6a21\u578b\u5f97\u5230 1578 \u4e2a\u805a\u7c7b\uff0cKnowledge-Assist-8B-SFT\uff08\u77e5\u8bc6\u8f85\u52a9 – 8B – \u5fae\u8c03\uff09\u6a21\u578b\u5f97\u5230 1429 \u4e2a\u805a\u7c7b\u3002\u968f\u540e\uff0c\u5c06\u6bcf\u4e2a\u805a\u7c7b\u4e2d\u7684\u6240\u6709\u95ee\u7b54\u5bf9\u8f93\u5165\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff0c\u6784\u5efa\u4ee3\u8868\u6027\u95ee\u7b54\u5bf9\uff0c\u5e76\u63a8\u8350\u5176\u7eb3\u5165\u77e5\u8bc6\u5e93\u3002\u4e0b\u6587\u5c06\u5c55\u793a\u7cfb\u7edf\u6700\u540e\u4e5f\u662f\u6700\u5173\u952e\u7684\u4e00\u6b65 \u2014\u2014 \u4e3a\u77e5\u8bc6\u5e93\u63a8\u8350\u4ee3\u8868\u6027\u95ee\u7b54\u5bf9\u7684\u5b9e\u9a8c\u7ed3\u679c\u3002<\/p>\n\n\n\n

5.3 \u63a8\u8350\u5177\u6709\u4ee3\u8868\u6027\u95ee\u7b54\u5bf9\u7684\u6027\u80fd<\/h3>\n\n\n\n

\u5728\u672c\u8282\u4e2d\uff0c\u6211\u4eec\u5728\u8868 2 \u4e2d\u5448\u73b0\u4e86\u4eba\u5de5\u667a\u80fd\u77e5\u8bc6\u8f85\u52a9\u7cfb\u7edf\u7684\u7aef\u5230\u7aef\u6027\u80fd\u3002\u7ed3\u679c\u663e\u793a\uff0cKnowledge-Assist-8B-SFT\uff08\u77e5\u8bc6\u8f85\u52a9 – 8B – \u5fae\u8c03\uff09\u6a21\u578b\u518d\u6b21\u8868\u73b0\u51fa\u5353\u8d8a\u6027\u80fd\uff0cF1 \u5206\u6570\u9ad8\u8fbe 91.8%\uff0c\u8d85\u8fc7\u4e86 Gemini-2.5-Flash-Lite\uff08Gemini-2.5 – \u5feb\u901f\u7cbe\u7b80\u7248\uff09\u6a21\u578b\u7684 79.6%\u3002<\/p>\n\n\n\n

\u6700\u7ec8\u9636\u6bb5\u7684\u9ad8\u7cbe\u786e\u7387\u548c\u9ad8\u53ec\u56de\u7387\u81f3\u5173\u91cd\u8981\uff0c\u56e0\u4e3a\u8fd9\u80fd\u786e\u4fdd\u77e5\u8bc6\u5e93\u4e2d\u586b\u5145\u7684\u4fe1\u606f\u51c6\u786e\u4e14\u76f8\u5173\uff0c\u76f4\u63a5\u5f71\u54cd\u5bf9\u8bdd\u5f0f\u4eba\u5de5\u667a\u80fd\u4ee3\u7406\u7684\u6027\u80fd\u3002\u6574\u4f53\u51c6\u786e\u7387\u8d85\u8fc7 90%\uff0c\u8fd9\u8868\u660e\u6211\u4eec\u7684\u7cfb\u7edf\u80fd\u591f\u6709\u6548\u586b\u8865\u4f01\u4e1a\u7684\u51b7\u542f\u52a8\u7a7a\u767d\u3002\u6211\u4eec\u8fd8\u53d1\u73b0\uff0c\u5bf9\u4e8e\u5927\u591a\u6570\u4f01\u4e1a\uff0cF1 \u5206\u6570\u4e5f\u8d85\u8fc7\u4e86 90%\uff08\u89c1\u56fe 3\uff09\u3002<\/p>\n\n\n\n

5.4 \u6a21\u578b\u9009\u62e9\u7684\u5f71\u54cd<\/h3>\n\n\n\n

\u6211\u4eec\u901a\u8fc7\u5b9e\u9a8c\u7814\u7a76\u4e86\u6a21\u578b\u9009\u62e9\u7684\u91cd\u8981\u6027\uff0c\u4e3b\u8981\u56f4\u7ed5\u4ee5\u4e0b\u4e24\u4e2a\u95ee\u9898\uff1a<\/p>\n\n\n\n

\uff081\uff09\u5fae\u8c03\u6240\u4f7f\u7528\u7684\u57fa\u7840\u6a21\u578b\u9009\u62e9\u662f\u5426\u4f1a\u5f71\u54cd\u6027\u80fd\uff1f<\/p>\n\n\n\n

\uff082\uff09\u6807\u6ce8\u6a21\u578b\u7684\u5dee\u5f02\u662f\u5426\u4f1a\u5f71\u54cd\u6027\u80fd\uff1f<\/p>\n\n\n\n

\u8868 5\uff1a\u6a21\u578b\u9009\u62e9\u5bf9\u77e5\u8bc6\u63d0\u53d6\u9636\u6bb5\u7684\u5f71\u54cd<\/strong><\/p>\n\n\n\n

\u6a21\u578b<\/th>\u7cbe\u786e\u7387\uff08P\uff09<\/th>\u53ec\u56de\u7387\uff08R\uff09<\/th>F1 \u5206\u6570<\/th><\/tr><\/thead>
Knowledge-Assist-8B-SFT\uff08\u77e5\u8bc6\u8f85\u52a9 – 8B – \u5fae\u8c03\uff09<\/td>84.88<\/td>84.85<\/td>84.86<\/td><\/tr>
– \u66ff\u6362\u57fa\u7840\u6a21\u578b\uff08LLaMA-3.1-8B \u66ff\u6362\u4e3a Qwen3-8B\uff09<\/td>77.12<\/td>72.48<\/td>74.73<\/td><\/tr>
– \u66ff\u6362\u6807\u6ce8\u6a21\u578b\uff08Gemini-2.5-Pro \u66ff\u6362\u4e3a GPT-4o\uff09<\/td>80.45<\/td>55.89<\/td>65.95<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

\u8868 3 \u5448\u73b0\u4e86\u5b9e\u9a8c\u7ed3\u679c\u3002\u6211\u4eec\u53d1\u73b0\uff0c\u5c06\u57fa\u7840\u6a21\u578b\u4ece LLaMA-3.1-8B \u66ff\u6362\u4e3a Qwen3-8B\uff08Yang \u7b49\u4eba\uff0c2025\uff09\u540e\uff0c\u6240\u6709\u6307\u6807\u5747\u51fa\u73b0\u663e\u8457\u4e0b\u964d\uff0cF1 \u5206\u6570\u964d\u81f3 74.73%\uff0c\u8fd9\u51f8\u663e\u4e86\u57fa\u7840\u6a21\u578b\u9009\u62e9\u7684\u91cd\u8981\u6027\u3002\u6b64\u5916\uff0c\u5f53\u6211\u4eec\u5c06\u6570\u636e\u6807\u6ce8\u6a21\u578b\u4ece Gemini-2.5-Pro \u66ff\u6362\u4e3a GPT-4o \u65f6\uff0c\u5728\u8be5\u6570\u636e\u4e0a\u8bad\u7ec3\u7684\u6a21\u578b\u6027\u80fd\u5927\u5e45\u4e0b\u964d\uff0cF1 \u5206\u6570\u964d\u81f3 65.95%\u3002\u8fd9\u4e00\u7ed3\u679c\u4e5f\u5f3a\u8c03\u4e86\u6570\u636e\u6807\u6ce8\u6a21\u578b\u9009\u62e9\u7684\u91cd\u8981\u6027\u3002<\/p>\n\n\n\n

5.5 \u4eba\u5de5\u8bc4\u4f30<\/h3>\n\n\n\n

\u6211\u4eec\u8fdb\u4e00\u6b65\u5bf9 Knowledge-Assist-8B-SFT\uff08\u77e5\u8bc6\u8f85\u52a9 – 8B – \u5fae\u8c03\uff09\u6a21\u578b\u548c Gemini-2.5-Flash-Lite\uff08Gemini-2.5 – \u5feb\u901f\u7cbe\u7b80\u7248\uff09\u6a21\u578b\u63a8\u8350\u7684\u6700\u7ec8\u4ee3\u8868\u6027\u95ee\u7b54\u5bf9\u8fdb\u884c\u4e86\u4eba\u5de5\u8bc4\u4f30\u3002\u5728\u4eba\u5de5\u8bc4\u4f30\u4e2d\uff0c\u6211\u4eec\u968f\u673a\u9009\u62e9\u4e86 100 \u4e2a\u5bf9\u8bdd\uff0c\u4e3b\u8981\u8003\u5bdf\u4ee5\u4e0b\u4e09\u4e2a\u65b9\u9762\uff1a<\/p>\n\n\n\n

\uff081\uff09\u4eba\u7c7b\u66f4\u504f\u597d\u54ea\u4e2a\u6a21\u578b\u63a8\u8350\u7684\u95ee\u7b54\u5bf9\uff08\u82e5\u4e24\u8005\u5747\u88ab\u504f\u597d\uff0c\u5219\u8bb0\u4e3a \u201c\u5e73\u5c40\u201d\uff09\uff1f<\/p>\n\n\n\n

\uff082\uff09\u6700\u7ec8\u63a8\u8350\u7684\u95ee\u7b54\u5bf9\u4e2d\u6709\u591a\u5c11\u5f97\u5230\u4eba\u7c7b\u8ba4\u53ef\uff08\u8fd9\u6a21\u62df\u4e86\u5b9e\u9645\u573a\u666f\u4e2d\u77e5\u8bc6\u5e93\u7ba1\u7406\u4eba\u5458\u5bf9\u6700\u7ec8\u63a8\u8350\u95ee\u7b54\u5bf9\u7684\u5ba1\u6838\u8fc7\u7a0b\uff09\uff1f<\/p>\n\n\n\n

\uff083\uff09\u5927\u578b\u8bed\u8a00\u6a21\u578b\u8bc4\u4f30\u8005\u4e0e\u4eba\u7c7b\u8bc4\u4f30\u8005\u5bf9\u6700\u7ec8\u63a8\u8350\u95ee\u7b54\u5bf9\u7684\u5224\u65ad\u4e00\u81f4\u6027\u5982\u4f55\uff08\u6211\u4eec\u901a\u8fc7\u8ba1\u7b97\u5927\u578b\u8bed\u8a00\u6a21\u578b\u8bc4\u4f30\u8005\u548c\u4eba\u7c7b\u8bc4\u4f30\u8005\u6807\u6ce8\u4e3a\u6b63\u786e\u7684\u3001\u6bcf\u4e2a\u5bf9\u8bdd\u8bb0\u5f55\u63a8\u8350\u7684\u4ee3\u8868\u6027\u95ee\u7b54\u5bf9\u6570\u91cf\u7684\u5b8c\u5168\u5339\u914d\u5ea6\u6765\u8861\u91cf\uff09\uff1f<\/p>\n\n\n\n

\u672c\u6b21\u8bc4\u4f30\u7531\u4e24\u540d\u5177\u6709\u6570\u636e\u79d1\u5b66\u548c\u8ba1\u7b97\u8bed\u8a00\u5b66\u4e13\u4e1a\u77e5\u8bc6\u7684\u4eba\u5458\u5b8c\u6210\u3002\u8868 4 \u4e2d\u7684\u7ed3\u679c\u663e\u793a\uff0c\u5728 25% \u7684\u6848\u4f8b\u4e2d\uff0c\u4eba\u7c7b\u66f4\u504f\u597d Knowledge-Assist-8B-SFT\uff08\u77e5\u8bc6\u8f85\u52a9 – 8B – \u5fae\u8c03\uff09\u6a21\u578b\u63a8\u8350\u7684\u95ee\u7b54\u5bf9\uff1b\u76f8\u6bd4\u4e4b\u4e0b\uff0c\u4eba\u7c7b\u4ec5\u5728 17% \u7684\u6848\u4f8b\u4e2d\u504f\u597d Gemini-2.5-Flash-Lite\uff08Gemini-2.5 – \u5feb\u901f\u7cbe\u7b80\u7248\uff09\u6a21\u578b\u63a8\u8350\u7684\u95ee\u7b54\u5bf9\u3002\u6b64\u5916\uff0c\u4eba\u7c7b\u8bc4\u4f30\u8005\u8ba4\u53ef\u5e76\u540c\u610f\u7eb3\u5165\u77e5\u8bc6\u5e93\u7684\u6700\u7ec8\u63a8\u8350\u95ee\u7b54\u5bf9\u6570\u91cf\uff0cKnowledge-Assist-8B-SFT\uff08\u77e5\u8bc6\u8f85\u52a9 – 8B – \u5fae\u8c03\uff09\u6a21\u578b\u4e3a 107 \u4e2a\uff0cGemini-2.5-Flash-Lite\uff08Gemini-2.5 – \u5feb\u901f\u7cbe\u7b80\u7248\uff09\u6a21\u578b\u4e3a 98 \u4e2a\u3002\u56e0\u6b64\uff0c\u4e0e\u5927\u578b\u8bed\u8a00\u6a21\u578b\u8bc4\u4f30\u8005\u7684\u8bc4\u4f30\u7ed3\u679c\u4e00\u81f4\uff0c\u5fae\u8c03\u6a21\u578b\u5728\u4eba\u5de5\u8bc4\u4f30\u4e2d\u4e5f\u8868\u73b0\u51fa\u4f18\u8d8a\u6027\u3002<\/p>\n\n\n\n

\u6b64\u5916\uff0c\u6211\u4eec\u53d1\u73b0\u4eba\u7c7b\u8bc4\u4f30\u8005\u4e0e GPT-4o \u8bc4\u4f30\u8005\u7684\u5224\u65ad\u4e00\u81f4\u6027\u7ea6\u4e3a 90%\uff0c\u8fd9\u8868\u660e\u4f7f\u7528 GPT-4o \u4f5c\u4e3a\u5927\u578b\u8bed\u8a00\u6a21\u578b\u8bc4\u4f30\u8005\u5177\u6709\u8f83\u9ad8\u7684\u53ef\u9760\u6027\uff08\u90e8\u5206\u5927\u578b\u8bed\u8a00\u6a21\u578b\u8bc4\u4f30\u8005\u7684\u9519\u8bef\u6848\u4f8b\u8be6\u89c1\u9644\u5f55 D\uff09\u3002\u6211\u4eec\u8fd8\u5bf9 100 \u4e2a\u6837\u672c\u4e2d\u6bcf\u4e2a\u6a21\u578b\u83b7\u5f97\u8ba4\u53ef\u7684\u95ee\u7b54\u5bf9\u6570\u91cf\u8fdb\u884c\u4e86\u5a01\u5c14\u79d1\u514b\u68ee\u7b26\u53f7\u79e9\u68c0\u9a8c\uff08Woolson\uff0c2007\uff09\u3002\u7ed3\u679c\u663e\u793a\uff0cKnowledge-Assist-8B-SFT\uff08\u77e5\u8bc6\u8f85\u52a9 – 8B – \u5fae\u8c03\uff09\u6a21\u578b\u751f\u6210\u7684\u83b7\u5f97\u8ba4\u53ef\u7684\u95ee\u7b54\u5bf9\u6570\u91cf\u591a\u4e8e\u57fa\u7ebf\u6a21\u578b\uff0c\u4e14\u8fd9\u79cd\u5dee\u5f02\u5177\u6709\u7edf\u8ba1\u5b66\u610f\u4e49\uff08p\u22640.05\uff09\u3002\u8fd9\u4e9b\u53d1\u73b0\u8fdb\u4e00\u6b65\u6709\u529b\u5730\u8bc1\u660e\uff0c\u6211\u4eec\u7684\u7cfb\u7edf\u5728\u751f\u6210\u4eba\u7c7b\u8bc4\u4f30\u8005\u8ba4\u4e3a\u6b63\u786e\u4e14\u6709\u4ef7\u503c\u3001\u53ef\u7eb3\u5165\u77e5\u8bc6\u5e93\u7684\u5185\u5bb9\u65b9\u9762\uff0c\u4f18\u4e8e\u57fa\u7ebf\u6a21\u578b\u3002<\/p>\n\n\n\n

\u56fe 4\uff1a\u4eba\u5de5\u667a\u80fd\u77e5\u8bc6\u8f85\u52a9\u7cfb\u7edf\u7b80\u6613\u6f14\u793a<\/strong><\/p>\n\n\n\n

\u547c\u53eb\u4e2d\u5fc3<\/th>\u5f00\u59cb\u65e5\u671f<\/th>\u7ed3\u675f\u65e5\u671f<\/th>\u8f93\u5165<\/th>\u8f93\u51fa<\/th><\/tr><\/thead>
ABC \u516c\u53f8<\/td>2025 \u5e74 6 \u6708 1 \u65e5<\/td>2025 \u5e74 6 \u6708 30 \u65e5<\/td>–<\/td>\u5206\u6790\u4e86 7000 \u6761\u901a\u8bdd\u8bb0\u5f55\uff0c\u63a8\u8350\u4e86 6000 \u4e2a\u95ee\u7b54\u5bf9<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

6 \u5b9e\u9645\u573a\u666f\u90e8\u7f72\u4e0e\u5e94\u7528<\/h2>\n\n\n\n

\u672c\u6587\u5728\u8c37\u6b4c Vertex AI \u5e73\u53f0 \u00b9\u2070\u4e0a\u501f\u52a9 Kubeflow \u90e8\u7f72\u4eba\u5de5\u667a\u80fd\u77e5\u8bc6\u8f85\u52a9\u7cfb\u7edf\uff08\u9700 1 \u5757 L4 GPU\uff09\u3002\u8be5\u914d\u7f6e\u652f\u6301\u4ece\u6570\u636e\u5904\u7406\u5230\u6a21\u578b\u63a8\u7406\u7684\u5168\u6d41\u7a0b\u81ea\u52a8\u5316\u6267\u884c\u3002\u56fe 4 \u5c55\u793a\u4e86\u7cfb\u7edf\u7684\u7b80\u6613\u6f14\u793a\uff1a\u7528\u6237\u9009\u62e9\u547c\u53eb\u4e2d\u5fc3\u4e0e\u65f6\u95f4\u8303\u56f4\u540e\uff0cKubeflow \u6d41\u6c34\u7ebf\u4f1a\u81ea\u52a8\u5206\u6790\u8be5\u65f6\u95f4\u8303\u56f4\u5185\u7684\u6240\u6709\u5bf9\u8bdd\u8bb0\u5f55\uff0c\u4e3a\u77e5\u8bc6\u5e93\u63a8\u8350\u95ee\u7b54\u5bf9\u3002<\/p>\n\n\n\n

\u00b9\u2070 \u53c2\u8003\u94fe\u63a5\uff1ahttps:\/\/cloud.google.com\/vertex-ai<\/a><\/p>\n\n\n\n

\u5df2\u90e8\u7f72\u7cfb\u7edf\u7684\u6838\u5fc3\u7279\u6027\u4e4b\u4e00\u662f\u77e5\u8bc6\u5e93\u7684\u81ea\u66f4\u65b0\u80fd\u529b\u3002\u5b9e\u73b0\u8fd9\u4e00\u7279\u6027\u9700\u6301\u7eed\u5904\u7406\u65b0\u7684\u901a\u8bdd\u8bb0\u5f55\uff0c\u4ee5\u63d0\u53d6\u6f5c\u5728\u7684\u65b0\u95ee\u7b54\u5bf9\u3002\u901a\u8fc7\u805a\u7c7b\u4ece\u63d0\u53d6\u7684\u95ee\u7b54\u5bf9\u4e2d\u6784\u5efa\u4ee3\u8868\u6027\u95ee\u7b54\u5bf9\u540e\uff0c\u53ef\u901a\u8fc7\u8ba1\u7b97\u5d4c\u5165\u5411\u91cf\u76f8\u4f3c\u5ea6\uff0c\u5c06\u4ee3\u8868\u6027\u95ee\u7b54\u5bf9\u4e2d\u7684\u95ee\u9898\u4e0e\u77e5\u8bc6\u5e93\u5df2\u6709\u95ee\u9898\u8fdb\u884c\u6bd4\u5bf9\u3002\u82e5\u76f8\u4f3c\u5ea6\u5f97\u5206\u4f4e\u4e8e\u9884\u8bbe\u9608\u503c\uff0c\u5219\u8868\u660e\u51fa\u73b0\u4e86\u663e\u8457\u4e0d\u540c\u7684\u65b0\u5ba2\u6237\u95ee\u9898\u3002\u6b64\u65f6\uff0c\u65b0\u63d0\u53d6\u7684\u95ee\u7b54\u5bf9\u53ef\u88ab\u6807\u8bb0\u5e76\u81ea\u52a8\u6dfb\u52a0\u5230\u77e5\u8bc6\u5e93\uff1b\u82e5\u9700\u66f4\u9ad8\u8d28\u91cf\u63a7\u5236\uff0c\u4e5f\u53ef\u5c06\u5176\u53d1\u9001\u7ed9\u77e5\u8bc6\u7ba1\u7406\u4eba\u5458\u5ba1\u6838\u3002\u6b64\u5916\uff0c\u5bf9\u4e8e\u76f8\u4f3c\u95ee\u9898\uff0c\u8fd8\u53ef\u8ba1\u7b97\u7b54\u6848\u95f4\u7684\u76f8\u4f3c\u5ea6\uff0c\u82e5\u5f97\u5206\u4f4e\u4e8e\u9884\u8bbe\u9608\u503c\uff0c\u53ef\u80fd\u610f\u5473\u7740\u77e5\u8bc6\u5e93\u4e2d\u7684\u7b54\u6848\u5df2\u8fc7\u65f6\uff08\u5982\u4ea7\u54c1 \/ \u529f\u80fd\u66f4\u65b0\uff09\u3002\u8fd9\u79cd\u81ea\u66f4\u65b0\u673a\u5236\u786e\u4fdd\u77e5\u8bc6\u5e93\u59cb\u7ec8\u4fdd\u6301\u65f6\u6548\u6027\uff0c\u5e76\u901a\u8fc7\u9002\u5e94\u65b0\u5ba2\u6237\u95ee\u9898\u4e0e\u4ea7\u54c1\u53d8\u5316\uff0c\u6301\u7eed\u5b8c\u5584\u4f18\u5316\u3002<\/p>\n\n\n\n

7 \u7ed3\u8bba<\/h2>\n\n\n\n

\u672c\u6587\u63d0\u51fa\u4eba\u5de5\u667a\u80fd\u77e5\u8bc6\u8f85\u52a9\u7cfb\u7edf\uff0c\u8fd9\u662f\u4e00\u6b3e\u57fa\u4e8e\u5927\u578b\u8bed\u8a00\u6a21\u578b\u7684\u7cfb\u7edf\uff0c\u65e8\u5728\u89e3\u51b3\u5bf9\u8bdd\u5f0f\u4eba\u5de5\u667a\u80fd\u4ee3\u7406\u7684\u51b7\u542f\u52a8\u95ee\u9898\u3002\u5927\u91cf\u5b9e\u9a8c\u8868\u660e\uff0c\u8be5\u7cfb\u7edf\u5728\u4ece\u5386\u53f2\u5bf9\u8bdd\u8bb0\u5f55\u4e2d\u81ea\u52a8\u521b\u5efa\u77e5\u8bc6\u5e93\u65b9\u9762\u6548\u679c\u663e\u8457\uff0c\u4f7f\u6ca1\u6709\u73b0\u6709\u77e5\u8bc6\u5e93\u7684\u547c\u53eb\u4e2d\u5fc3\u4e5f\u80fd\u501f\u52a9\u8be5\u7cfb\u7edf\u6784\u5efa\u5bf9\u8bdd\u5f0f\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\u3002\u6b64\u5916\uff0c\u672c\u6587\u8fd8\u63a2\u8ba8\u4e86\u5982\u4f55\u53ef\u9760\u5730\u5f00\u53d1\u3001\u8bc4\u4f30\u4e0e\u90e8\u7f72\u6b64\u7c7b\u7cfb\u7edf \u2014\u2014 \u901a\u8fc7\u5229\u7528\u6784\u5efa\u7684\u77e5\u8bc6\u5e93\uff0c\u5bf9\u8bdd\u5f0f\u4ee3\u7406\u80fd\u66f4\u9ad8\u6548\u3001\u66f4\u7cbe\u51c6\u5730\u89e3\u51b3\u5ba2\u6237\u95ee\u9898\uff0c\u8fdb\u800c\u63d0\u5347\u5ba2\u6237\u4f53\u9a8c\u4e0e\u4ee3\u7406\u5de5\u4f5c\u6548\u7387\u3002\u672a\u6765\uff0c\u5c06\u6784\u5efa\u65b0\u7684\u57fa\u51c6\uff0c\u7814\u7a76\u5982\u4f55\u9ad8\u6548\u66f4\u65b0\u73b0\u6709\u77e5\u8bc6\u5e93\u3002<\/p>\n\n\n\n

\u5c40\u9650\u6027<\/h3>\n\n\n\n

\u7531\u4e8e\u6a21\u578b\u5728\u5ba2\u6237 – \u4ee3\u7406\u5bf9\u8bdd\u6570\u636e\u4e0a\u8bad\u7ec3\uff0c\u82e5\u4e0d\u8fdb\u884c\u8fdb\u4e00\u6b65\u63d0\u793a\u8bcd\u5de5\u7a0b\u6216\u5fae\u8c03\uff0c\u53ef\u80fd\u65e0\u6cd5\u9002\u7528\u4e8e\u5176\u4ed6\u9886\u57df\u3002\u6b64\u5916\uff0c\u672c\u7814\u7a76\u4f7f\u7528\u4e13\u6709\u6570\u636e\u5f00\u53d1\u4e0e\u8bc4\u4f30\u7cfb\u7edf\uff0c\u56e0\u6b64\u672a\u516c\u5f00\u8be5\u6570\u636e\u96c6\u3002\u4f46\u4e3a\u6700\u5927\u9650\u5ea6\u63d0\u5347\u65b9\u6cd5\u7684\u53ef\u590d\u73b0\u6027\uff0c\u672c\u6587\u63d0\u4f9b\u4e86\u8be6\u7ec6\u4fe1\u606f\uff0c\u5305\u62ec\u6240\u7528\u7279\u5b9a\u5f00\u6e90\u6a21\u578b\u3001\u5fae\u8c03\u53c2\u6570\u53ca\u5b9e\u9a8c\u4e2d\u4f7f\u7528\u7684\u5b8c\u6574\u63d0\u793a\u8bcd\u3002<\/p>\n\n\n\n

\u4f26\u7406\u58f0\u660e<\/h3>\n\n\n\n

\u4eba\u5de5\u8bc4\u4f30\u8865\u507f<\/h4>\n\n\n\n

\u4eba\u5de5\u8bc4\u4f30\u7531\u5177\u5907\u8ba1\u7b97\u8bed\u8a00\u5b66\u4e13\u4e1a\u77e5\u8bc6\u7684\u5185\u90e8\u79d1\u5b66\u5bb6\u5b8c\u6210\uff0c\u65e0\u9700\u989d\u5916\u8865\u507f\u3002\u6b64\u5916\uff0c\u7531\u4e8e\u4e13\u6709\u6570\u636e\u96c6\u5305\u542b\u7531\u5185\u90e8\u81ea\u52a8\u8bed\u97f3\u8bc6\u522b\u7cfb\u7edf\u751f\u6210\u7684\u5608\u6742\u4e1a\u52a1\u5bf9\u8bdd\u8bb0\u5f55\uff0c\u6570\u636e\u5904\u7406\u96be\u5ea6\u8f83\u5927\uff0c\u56e0\u6b64\u7531\u5185\u90e8\u5458\u5de5\u5f00\u5c55\u4eba\u5de5\u8bc4\u4f30\u3002<\/p>\n\n\n\n

\u6570\u636e\u9690\u79c1<\/h4>\n\n\n\n

\u5236\u5b9a\u4e86\u6570\u636e\u4fdd\u7559\u653f\u7b56\uff0c\u7528\u6237\u53ef\u9009\u62e9\u4e0d\u5141\u8bb8\u5176\u901a\u8bdd\u8bb0\u5f55\u7528\u4e8e\u6a21\u578b\u5f00\u53d1\u3002\u5728\u6570\u636e\u6536\u96c6\u8fc7\u7a0b\u4e2d\uff0c\u79fb\u9664\u4e86\u4fe1\u7528\u5361\u53f7\u3001\u7535\u8bdd\u53f7\u7801\u7b49\u654f\u611f\u4e2a\u4eba\u8eab\u4efd\u4fe1\u606f\uff08PII\uff09\uff0c\u4ee5\u4fdd\u62a4\u7528\u6237\u9690\u79c1\u3002<\/p>\n\n\n\n

\u8bb8\u53ef\u534f\u8bae<\/h4>\n\n\n\n

\u4f7f\u7528 HuggingFace \u7b49\u4e0d\u540c\u5de5\u5177\u65f6\uff0c\u4e25\u683c\u9075\u5b88\u76f8\u5e94\u7684\u8bb8\u53ef\u8981\u6c42\u3002<\/p>\n\n\n\n

\u9644\u5f55 A \u6210\u672c\u5206\u6790<\/h2>\n\n\n\n

\u672c\u7814\u7a76\u4e2d\u6240\u6709\u5f00\u6e90\u6a21\u578b\u7684\u53c2\u6570\u5747\u5c11\u4e8e 100 \u4ebf\uff0c\u53ef\u5728\u5355\u5757 NVIDIA L4 GPU \u4e0a\u987a\u7545\u8fd0\u884c\uff08Laskar \u7b49\u4eba\uff0c2023c\uff09\u3002\u4e13\u6709\u6a21\u578b\u4e2d\uff0cGemini-2.0-Flash-Lite\uff08Gemini-2.0 – \u5feb\u901f\u7cbe\u7b80\u7248\uff09\u6027\u4ef7\u6bd4\u6700\u9ad8\uff0c\u8f93\u5165\u6bcf\u767e\u4e07 token \u6210\u672c\u4e3a 0.075 \u7f8e\u5143\uff0c\u8f93\u51fa\u6bcf\u767e\u4e07 token \u6210\u672c\u4e3a 0.30 \u7f8e\u5143\uff1bGemini-2.0-Flash\uff08Gemini-2.0 – \u5feb\u901f\u7248\uff09\u8f93\u5165\u6bcf\u767e\u4e07 token \u6210\u672c\u4e3a 0.15 \u7f8e\u5143\uff0c\u8f93\u51fa\u6bcf\u767e\u4e07 token \u6210\u672c\u4e3a 0.60 \u7f8e\u5143\u3002\u7531\u4e8e Gemini-2.5-Flash\uff08Gemini-2.5 – \u5feb\u901f\u7248\uff09\u4ef7\u683c\u8fc7\u9ad8\uff08\u8f93\u5165\u6bcf\u767e\u4e07 token 0.30 \u7f8e\u5143\uff0c\u8f93\u51fa\u6bcf\u767e\u4e07 token 2.50 \u7f8e\u5143\uff09\uff0c\u672c\u7814\u7a76\u672a\u5c06\u5176\u7eb3\u5165\u8003\u91cf\u3002OpenAI \u6a21\u578b\u4e2d\uff0cGPT-4o-Mini\uff08GPT-4o – \u8ff7\u4f60\u7248\uff09\u4ef7\u683c\u7565\u9ad8\uff0c\u8f93\u5165\u6bcf\u767e\u4e07 token 0.15 \u7f8e\u5143\uff0c\u8f93\u51fa\u6bcf\u767e\u4e07 token 0.60 \u7f8e\u5143\uff1b\u800c\u7528\u4e8e\u8bc4\u4f30\u7684 GPT-4o \u6a21\u578b\u4ef7\u683c\u66f4\u9ad8\uff0c\u8f93\u5165\u6bcf\u767e\u4e07 token 2.50 \u7f8e\u5143\uff0c\u8f93\u51fa\u6bcf\u767e\u4e07 token 10 \u7f8e\u5143\u3002\u6570\u636e\u6807\u6ce8\u73af\u8282\u4f7f\u7528 Gemini-2.5-Pro \u6a21\u578b\uff0c\u8f93\u5165\u6bcf\u767e\u4e07 token \u6210\u672c\u4e3a 1.25 \u7f8e\u5143\uff0c\u8f93\u51fa\u6bcf\u767e\u4e07 token \u6210\u672c\u4e3a 10 \u7f8e\u5143\u3002<\/p>\n\n\n\n

\u9644\u5f55 B \u805a\u7c7b\u6a21\u578b\u8bc4\u4f30<\/h2>\n\n\n\n

\u805a\u7c7b\u8bc4\u4f30\u73af\u8282\u4ee5\u8f6e\u5ed3\u7cfb\u6570\uff08Rousseeuw\uff0c1987\uff09\u4e3a\u6307\u6807\uff0c\u5bf9\u6bd4 DBSCAN \u7b97\u6cd5\uff08Schubert \u7b49\u4eba\uff0c2017\uff09\u4e0e K-Means \u7b97\u6cd5\uff08Lloyd\uff0c1982\uff09\u7684\u6027\u80fd\u3002\u901a\u8fc7\u5bf9\u6bd4\u591a\u79cd\u5d4c\u5165\u6a21\u578b\u53d1\u73b0\uff0cBGE \u5d4c\u5165\u5411\u91cf\uff08Xiao \u7b49\u4eba\uff0c2024\uff1bChen \u7b49\u4eba\uff0c2024\uff09\u5728\u6548\u7387\u4e0e\u51c6\u786e\u7387\u4e0a\u8868\u73b0\u6700\u4f73\u3002\u56fe 5 \u5c55\u793a\u4e86\u4e0d\u540c BGE \u5d4c\u5165\u6a21\u578b\u5728\u6700\u4f73\u914d\u7f6e\uff08\u6bcf\u4e2a\u805a\u7c7b\u6700\u5c0f\u6837\u672c\u91cf\u4e3a 2\uff09\u4e0b\u7684\u7ed3\u679c\uff0c\u53ef\u89c1 DBSCAN \u7b97\u6cd5\u6027\u80fd\u8fdc\u4f18\u4e8e K-Means \u7b97\u6cd5\u3002\u6b64\u5916\uff0cDBSCAN \u7b97\u6cd5\u80fd\u81ea\u52a8\u786e\u5b9a\u805a\u7c7b\u6570\u91cf \u2014\u2014 \u8fd9\u4e00\u4f18\u52bf\u5c24\u4e3a\u5173\u952e\uff0c\u56e0\u4e3a\u4e0d\u540c\u4f01\u4e1a\u7684\u901a\u8bdd\u91cf\u5b58\u5728\u5dee\u5f02\uff0c\u4e14\u6f5c\u5728\u805a\u7c7b\u7ed3\u6784\u7684\u5f02\u8d28\u6027\u8f83\u9ad8\uff0c\u81ea\u52a8\u786e\u5b9a\u805a\u7c7b\u6570\u91cf\u53ef\u66f4\u597d\u5730\u9002\u914d\u6570\u636e\u7279\u70b9\u3002\u76f8\u6bd4\u4e4b\u4e0b\uff0cK-Means \u7b97\u6cd5\u9700\u9884\u5148\u8bbe\u5b9a\u805a\u7c7b\u6570\u91cf k\uff0c\u56e0\u6b64\u4e0d\u9002\u7528\u4e8e\u6700\u4f18\u805a\u7c7b\u6570\u91cf\u672a\u77e5\u7684\u6570\u636e\u96c6\u3002<\/p>\n\n\n\n

\u56fe 5\uff1a\u805a\u7c7b\u65b9\u6cd5\u6027\u80fd\u5bf9\u6bd4\uff08\u6700\u4f73\u914d\u7f6e\uff09<\/strong><\/p>\n\n\n\n

\u5d4c\u5165\u6a21\u578b<\/th>K-Means \u7b97\u6cd5<\/th><\/th>DBSCAN \u7b97\u6cd5<\/th><\/th><\/tr><\/thead>
<\/td>\u8f6e\u5ed3\u7cfb\u6570<\/td>\u805a\u7c7b\u6570\u91cf<\/td>\u8f6e\u5ed3\u7cfb\u6570<\/td>\u805a\u7c7b\u6570\u91cf<\/td><\/tr>
bge-base-en-v1.5<\/td>–<\/td>–<\/td>0.7<\/td>91<\/td><\/tr>
bge-large-en-v1.5<\/td>–<\/td>97<\/td>–<\/td>92<\/td><\/tr>
bge-small-en-v1.5<\/td>0.1<\/td>98<\/td>0.1<\/td>98<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

\uff08\u8f6e\u5ed3\u7cfb\u6570\u8303\u56f4\uff1a0.0-0.7\uff09<\/p>\n\n\n\n

\u9644\u5f55 C \u793a\u4f8b\u63d0\u793a\u8bcd<\/h2>\n\n\n\n

\u4ee5\u4e0b\u4e3a\u77e5\u8bc6\u63d0\u53d6\u3001\u63a8\u8350\u73af\u8282\u53ca\u4f7f\u7528\u5927\u578b\u8bed\u8a00\u6a21\u578b\u8bc4\u4f30\u8005\u8fdb\u884c\u8bc4\u4f30\u7684\u793a\u4f8b\u63d0\u793a\u8bcd\uff1a<\/p>\n\n\n\n

\u63d0\u793a\u8bcd\uff1a\u5229\u7528\u5927\u578b\u8bed\u8a00\u6a21\u578b\u4ece\u5bf9\u8bdd\u8bb0\u5f55\u4e2d\u63d0\u53d6\u77e5\u8bc6<\/h3>\n\n\n\n

\u7ed9\u5b9a\u4e00\u6bb5\u901a\u8bdd\u8bb0\u5f55\uff0c\u5305\u542b\u4e24\u4f4d\u8bf4\u8bdd\u4eba\uff1a\u201c\u5ba2\u6237\u201d\uff08\u5bfb\u6c42\u5e2e\u52a9\u8005\uff09\u4e0e \u201c\u4ee3\u7406\u201d\uff08\u5ba2\u6237\u670d\u52a1\u4ee3\u8868\uff09\u3002<\/p>\n\n\n\n

\u4f60\u7684\u4efb\u52a1\u662f\u4ece\u8fd9\u6bb5\u901a\u8bdd\u4e2d\u63d0\u53d6\u4e8b\u5b9e\u51c6\u786e\u3001\u8d28\u91cf\u8f83\u9ad8\u7684\u77e5\u8bc6\uff0c\u5e76\u4ee5 \u201c\u95ee\u9898\u201d \u548c \u201c\u7b54\u6848\u201d \u7684\u5f62\u5f0f\u5448\u73b0 \u2014\u2014 \u8fd9\u4e9b\u77e5\u8bc6\u5c06\u88ab\u4e0a\u4f20\u81f3\u77e5\u8bc6\u5e93\uff0c\u4ee5\u4fbf\u672a\u6765\u5ba2\u6237\u63d0\u51fa\u7c7b\u4f3c\u95ee\u9898\u65f6\uff0c\u53ef\u901a\u8fc7\u77e5\u8bc6\u5e93\u89e3\u7b54\u5ba2\u6237\u7591\u95ee\u3002<\/p>\n\n\n\n

\u7531\u4e8e\u8be5\u8bb0\u5f55\u7531\u8bed\u97f3\u8f6c\u5f55\u751f\u6210\uff0c\u53ef\u80fd\u5b58\u5728\u8868\u8fbe\u751f\u786c\u6216\u53e3\u8bed\u5316\u7684\u5185\u5bb9\uff0c\u56e0\u6b64\u53ef\u5bf9\u4ece\u5bf9\u8bdd\u4e2d\u63d0\u53d6\u7684\u77e5\u8bc6\uff08\u5373\u95ee\u7b54\u5bf9\uff09\u8fdb\u884c\u91cd\u5199\uff0c\u786e\u4fdd\u65e0\u9700\u9605\u8bfb\u5b8c\u6574\u5bf9\u8bdd\u5c31\u80fd\u7406\u89e3\u8fd9\u4e9b\u95ee\u7b54\u5bf9\u3002<\/p>\n\n\n\n

\u63d0\u53d6\u77e5\u8bc6\u65f6\u9700\u9075\u5faa\u4ee5\u4e0b\u89c4\u5219\uff1a<\/p>\n\n\n\n

    \n
  1. \u4ec5\u63d0\u53d6\u975e\u654f\u611f\u77e5\u8bc6\uff0c\u4e0d\u5f97\u5305\u542b\u4e2a\u4eba\u8eab\u4efd\u4fe1\u606f\uff08PII\uff09\uff1b<\/li>\n\n\n\n
  2. \u63d0\u53d6\u7684\u77e5\u8bc6\u9700\u5177\u5907\u901a\u7528\u6027\u4e0e\u4fe1\u606f\u67e5\u8be2\u5c5e\u6027\uff0c\u9002\u7528\u4e8e\u672a\u6765\u6709\u7c7b\u4f3c\u9700\u6c42\u7684\u5ba2\u6237\uff0c\u907f\u514d\u63d0\u53d6\u95f2\u804a\u6216\u5efa\u7acb\u878d\u6d3d\u5173\u7cfb\u7c7b\u7684\u975e\u4fe1\u606f\u67e5\u8be2\u5185\u5bb9\uff1b<\/li>\n\n\n\n
  3. \u4e0d\u5f97\u63d0\u53d6\u65f6\u6548\u6027\u5f3a\u7684\u7b54\u6848\uff08\u5982\u4ec5\u5728\u7279\u5b9a\u65e5\u671f\u524d\u6709\u6548\u7684\u7b54\u6848\uff09\uff1b<\/li>\n\n\n\n
  4. \u82e5\u95ee\u9898\u6d89\u53ca\u67d0\u4ea7\u54c1\uff0c\u9700\u5728\u6240\u9009\u95ee\u7b54\u5bf9\u4e2d\u6ce8\u660e\u4ea7\u54c1\u540d\u79f0\uff0c\u786e\u4fdd\u7eb3\u5165\u77e5\u8bc6\u5e93\u540e\u6613\u4e8e\u7406\u89e3\u3002<\/li>\n<\/ol>\n\n\n\n

    \u8f93\u51fa\u683c\u5f0f\uff1a<\/p>\n\n\n\n

    \u4ec5\u8fd4\u56de JSON \u5bf9\u8c61\u6570\u7ec4\uff0c\u65e0\u9700\u9644\u52a0\u5176\u4ed6\u6587\u672c\u3002\u6bcf\u4e2a JSON \u5bf9\u8c61\u5305\u542b\u4e09\u4e2a\u952e\uff1a\uff081\uff09\u201cQuestion\u201d\uff08\u95ee\u9898\uff09\u3001\uff082\uff09\u201cAnswer\u201d\uff08\u7b54\u6848\uff09\u3001\uff083\uff09\u201cJustification\u201d\uff08\u7406\u7531\uff09\u3002<\/p>\n\n\n\n

    \u5176\u4e2d\uff0c\u201c\u7406\u7531\u201d \u9700\u8bf4\u660e\u9009\u62e9\u8be5 \u201c\u95ee\u9898 – \u7b54\u6848\u201d \u5bf9\u7684\u4f9d\u636e\uff0c\u4ee5\u53ca\u5982\u4f55\u4e25\u683c\u9075\u5faa\u6240\u6709\u89c4\u5219\uff1b\u6b64\u5916\uff0c\u8fd8\u53ef\u5305\u542b\u5bf9\u8bdd\u8bb0\u5f55\u4e2d\u652f\u6301\u6240\u63d0\u53d6\u77e5\u8bc6\uff08\u5373\u95ee\u7b54\u5bf9\uff09\u7684\u7247\u6bb5\u3002\u82e5\u672a\u63d0\u53d6\u5230\u77e5\u8bc6\u5bf9\uff0c\u53ea\u9700\u8fd4\u56de\u7a7a JSON \u6570\u7ec4\u3002<\/p>\n\n\n\n

    \u901a\u8bdd\u8bb0\u5f55\uff1a<\/p>\n\n\n\n

    [\u901a\u8bdd\u5bf9\u8bdd\u8bb0\u5f55]<\/p>\n\n\n\n

    \u63d0\u793a\u8bcd\uff1a\u63a8\u8350\u5177\u6709\u4ee3\u8868\u6027\u7684\u95ee\u7b54\u5bf9<\/h3>\n\n\n\n

    \u7ed9\u5b9a\u4e00\u4e2a\u95ee\u7b54\u5bf9\u805a\u7c7b\uff0c\u8be5\u805a\u7c7b\u5c06\u76f8\u4f3c\u95ee\u9898\u5f52\u4e3a\u4e00\u7ec4\u3002\u8fd9\u4e9b\u95ee\u7b54\u5bf9\u4ece\u4e0d\u540c\u5ba2\u6237 – \u4ee3\u7406\u5bf9\u8bdd\u4e2d\u63d0\u53d6\uff0c\u5c06\u88ab\u5b58\u50a8\u81f3\u4f01\u4e1a\u77e5\u8bc6\u5e93\u3002<\/p>\n\n\n\n

    \u4f60\u7684\u4efb\u52a1\u662f\u5bf9\u805a\u7c7b\u4e2d\u7684\u95ee\u7b54\u5bf9\u8fdb\u884c\u7b5b\u9009\uff0c\u6784\u5efa\u5177\u6709\u4ee3\u8868\u6027\u7684\u95ee\u7b54\u5bf9\u3002\u4e3a\u6b64\u9700\u9075\u5faa\u4ee5\u4e0b\u89c4\u5219\uff1a<\/p>\n\n\n\n

      \n
    1. \u65e0\u91cd\u590d\uff1a\u82e5\u805a\u7c7b\u4e2d\u5b58\u5728\u591a\u4e2a\u91cd\u590d\u95ee\u7b54\u5bf9\uff0c\u4ec5\u63d0\u53d6\u4e00\u4e2a\u53ef\u4ee3\u8868\u8be5\u805a\u7c7b\u7684\u95ee\u7b54\u5bf9\uff1b<\/li>\n\n\n\n
    2. \u91cd\u5199\u6216\u63d0\u53d6\uff1a\u4ee3\u8868\u6027\u95ee\u7b54\u5bf9\u53ef\u76f4\u63a5\u4ece\u805a\u7c7b\u4e2d\u63d0\u53d6\uff0c\u4e5f\u53ef\u5728\u5fc5\u8981\u65f6\u91cd\u5199\u4ee5\u63d0\u5347\u53ef\u7406\u89e3\u6027\uff1b<\/li>\n\n\n\n
    3. \u975e\u65f6\u6548\u6027\uff1a\u4ec5\u5728\u7279\u5b9a\u65f6\u95f4\u6bb5\u5185\u6709\u6548\u7684\u95ee\u7b54\u5bf9\uff08\u5982 \u201c\u67d0\u4e8b\u9700\u5728\u4eca\u65e5\u5b8c\u6210\u201d\uff09\u4e0d\u5f97\u4f5c\u4e3a\u4ee3\u8868\u6027\u95ee\u7b54\u5bf9\uff1b<\/li>\n\n\n\n
    4. \u975e\u4e2a\u6027\u5316\uff1a\u9488\u5bf9\u7279\u5b9a\u5ba2\u6237\u6216\u5305\u542b\u4e2a\u4eba\u8eab\u4efd\u4fe1\u606f\uff08\u5982\u8d26\u5355\u4fe1\u606f\u3001\u5730\u5740\u7b49\u8d26\u6237\u4e13\u5c5e\u8be6\u60c5\uff09\u7684\u95ee\u7b54\u5bf9\u4e0d\u5f97\u4f5c\u4e3a\u4ee3\u8868\u6027\u95ee\u7b54\u5bf9\uff1b<\/li>\n\n\n\n
    5. \u901a\u7528\u6027\uff1a\u4e0d\u5177\u5907\u901a\u7528\u6027\u3001\u4e0d\u9002\u7528\u4e8e\u672a\u6765\u6709\u7c7b\u4f3c\u9700\u6c42\u5ba2\u6237\u7684\u95ee\u7b54\u5bf9\u4e0d\u5f97\u4f5c\u4e3a\u4ee3\u8868\u6027\u95ee\u7b54\u5bf9\uff1b<\/li>\n\n\n\n
    6. \u5b9e\u7528\u6027\uff1a\u4ee3\u7406\u65e0\u6cd5\u5728\u4f01\u4e1a\u77e5\u8bc6\u5e93\u4e2d\u4f7f\u7528\u4ee5\u89e3\u7b54\u5176\u4ed6\u5ba2\u6237\u672a\u6765\u95ee\u9898\u7684\u95ee\u7b54\u5bf9\u4e0d\u5f97\u4f5c\u4e3a\u4ee3\u8868\u6027\u95ee\u7b54\u5bf9\uff1b<\/li>\n\n\n\n
    7. \u4fe1\u606f\u67e5\u8be2\u5c5e\u6027\uff1a\u4ec5\u9009\u62e9\u4fe1\u606f\u67e5\u8be2\u7c7b\u95ee\u7b54\u5bf9\uff0c\u4e0d\u5f97\u5305\u542b\u4e2a\u4eba\u95ee\u9898\uff08\u5982 \u201c\u4f60\u53eb\u4ec0\u4e48\u540d\u5b57\u201d\u201c\u4f60\u7684\u5730\u5740\u662f\u4ec0\u4e48\u201d\uff09\u3001\u95f2\u804a\u6216\u5efa\u7acb\u878d\u6d3d\u5173\u7cfb\u7c7b\u95ee\u7b54\u5bf9\uff1b<\/li>\n\n\n\n
    8. \u53ef\u7406\u89e3\u6027\uff1a\u82e5\u95ee\u7b54\u5bf9\u4e2d\u7684\u95ee\u9898\u6d89\u53ca\u67d0\u4ea7\u54c1\uff0c\u9700\u5728\u4ee3\u8868\u6027\u95ee\u7b54\u5bf9\u4e2d\u660e\u786e\u6ce8\u660e\u4ea7\u54c1\u540d\u79f0\uff0c\u786e\u4fdd\u6613\u4e8e\u7406\u89e3\u3002<\/li>\n<\/ol>\n\n\n\n

      \u4e25\u683c\u9075\u5faa\u4e0a\u8ff0\u89c4\u5219\u540e\uff0c\u4ee5 JSON \u6570\u7ec4\u683c\u5f0f\u751f\u6210\u7b54\u6848\uff0c\u5305\u542b\u4ee5\u4e0b\u952e\uff1a<\/p>\n\n\n\n

      \uff081\uff09\u201cRepresentative Question\u201d\uff08\u4ee3\u8868\u6027\u95ee\u9898\uff09<\/p>\n\n\n\n

      \uff082\uff09\u201cRepresentative Answer\u201d\uff08\u4ee3\u8868\u6027\u7b54\u6848\uff09<\/p>\n\n\n\n

      \uff083\uff09\u201cType\u201d\uff08\u7c7b\u578b\uff09<\/p>\n\n\n\n

      \uff084\uff09\u201cExplanation\u201d\uff08\u89e3\u91ca\uff09<\/p>\n\n\n\n

      \u5176\u4e2d\uff0c\u201c\u7c7b\u578b\u201d \u53d6\u503c\u4e3a \u201cRewritten\u201d\uff08\u91cd\u5199\uff09\u6216 \u201cExtracted\u201d\uff08\u63d0\u53d6\uff09\uff1a\u201cRewritten\u201d \u8868\u793a\u8be5\u95ee\u7b54\u5bf9\u7ecf\u91cd\u5199\u751f\u6210\uff0c\u201cExtracted\u201d \u8868\u793a\u8be5\u95ee\u7b54\u5bf9\u76f4\u63a5\u63d0\u53d6\u4e14\u672a\u91cd\u5199\uff1b\u201c\u89e3\u91ca\u201d \u9700\u8bf4\u660e\u91cd\u5199\u539f\u56e0\uff0c\u82e5\u7c7b\u578b\u4e3a \u201cExtracted\u201d\uff0c\u5219 \u201c\u89e3\u91ca\u201d \u586b \u201cN\/A\u201d\uff08\u4e0d\u9002\u7528\uff09\u3002<\/p>\n\n\n\n

      \u6ce8\u610f\uff1a\u4ec5\u5728\u5fc5\u8981\u65f6\u8fdb\u884c\u91cd\u5199\uff1b\u91cd\u5199\u65f6\u53ef\u7ed3\u5408\u591a\u4e2a\u95ee\u9898\u4e0e\u7b54\u6848\u7684\u4fe1\u606f\u6784\u5efa\u4ee3\u8868\u6027\u95ee\u7b54\u5bf9\uff08\u82e5\u76f8\u5173\uff09\uff0c\u4f46\u9700\u786e\u4fdd\u4e0d\u4e22\u5931\u4efb\u4f55\u91cd\u8981\u4fe1\u606f\u3002<\/p>\n\n\n\n

      \u82e5\u76f8\u4f3c\u95ee\u9898\u5bf9\u5e94\u4e0d\u540c\u7b54\u6848\uff0c\u4e14\u65e0\u6cd5\u5c06\u591a\u4e2a\u7b54\u6848\u5408\u5e76\u4e3a\u4e00\u4e2a\u4ee3\u8868\u6027\u7b54\u6848\uff0c\u5219\u53ef\u4fdd\u7559\u6240\u6709\u7b54\u6848\u3002<\/p>\n\n\n\n

      \u4ee5\u4e0b\u4e3a\u95ee\u9898\u805a\u7c7b\uff0c\u8bf7\u6784\u5efa\u4ee3\u8868\u6027\u95ee\u7b54\u5bf9\u3002<\/p>\n\n\n\n

      \u95ee\u9898\u805a\u7c7b\uff1a[\u95ee\u7b54\u5bf9\u5217\u8868]<\/p>\n\n\n\n

      \u63d0\u793a\u8bcd\uff1a\u5229\u7528\u5927\u578b\u8bed\u8a00\u6a21\u578b\u8bc4\u4f30\u8005\u8bc4\u4f30\u77e5\u8bc6\u63d0\u53d6\u4e0e\u63a8\u8350\u6a21\u578b<\/h3>\n\n\n\n

      \u7ed9\u5b9a\u4ece\u5ba2\u6237 – \u4ee3\u7406\u5bf9\u8bdd\u4e2d\u63d0\u53d6\u7684\u77e5\u8bc6\uff08\u4ee5\u95ee\u7b54\u5bf9\u5f62\u5f0f\u5448\u73b0\uff09\uff0c\u8fd9\u4e9b\u77e5\u8bc6\u5c06\u88ab\u5b58\u50a8\u81f3\u4f01\u4e1a\u77e5\u8bc6\u5e93\u3002\u672a\u6765\u4f01\u4e1a\u65b0\u5ba2\u6237\u4e0e\u65b0\u4ee3\u7406\u5bf9\u8bdd\u65f6\uff0c\u82e5\u5ba2\u6237\u63d0\u51fa\u7c7b\u4f3c\u95ee\u9898\u6216\u6709\u7c7b\u4f3c\u7591\u95ee\uff0c\u4ee3\u7406\u53ef\u501f\u52a9\u77e5\u8bc6\u5e93\u89e3\u7b54\u3002<\/p>\n\n\n\n

      \u4f60\u7684\u4efb\u52a1\u662f\u6839\u636e\u4ee5\u4e0b\u89c4\u5219\uff0c\u5224\u65ad\u63d0\u53d6\u7684\u95ee\u7b54\u5bf9\u4e2d\u6709\u591a\u5c11\u4e25\u683c\u7b26\u5408\u8981\u6c42\uff1a<\/p>\n\n\n\n

        \n
      1. \u975e\u65f6\u6548\u6027\uff1a\u4e0d\u5f97\u5305\u542b\u4ec5\u5728\u7279\u5b9a\u65f6\u95f4\u6bb5\u5185\u6709\u6548\u7684\u95ee\u7b54\u5bf9\uff08\u5982 \u201c\u67d0\u4e8b\u9700\u5728\u4eca\u65e5\u5b8c\u6210\u201d\uff09\uff1b<\/li>\n\n\n\n
      2. \u975e\u4e2a\u6027\u5316\u4e14\u65e0\u4e2a\u4eba\u8eab\u4efd\u4fe1\u606f\uff1a\u4e0d\u5f97\u5305\u542b\u9488\u5bf9\u7279\u5b9a\u5ba2\u6237\u3001\u5305\u542b\u4e2a\u4eba\u8eab\u4efd\u4fe1\u606f\uff08PII\uff09\u6216\u8d26\u6237\u4e13\u5c5e\u8be6\u60c5\uff08\u5982\u8d26\u5355\u4fe1\u606f\u3001\u5730\u5740\uff09\u7684\u95ee\u7b54\u5bf9\uff1b<\/li>\n\n\n\n
      3. \u901a\u7528\u6027\uff1a\u4e0d\u5f97\u5305\u542b\u4e0d\u5177\u5907\u901a\u7528\u6027\u3001\u4e0d\u9002\u7528\u4e8e\u672a\u6765\u6709\u7c7b\u4f3c\u9700\u6c42\u5ba2\u6237\u7684\u95ee\u7b54\u5bf9\uff08\u5373\u4ee3\u7406\u65e0\u6cd5\u5728\u4f01\u4e1a\u77e5\u8bc6\u5e93\u4e2d\u4f7f\u7528\u8be5\u95ee\u7b54\u5bf9\u89e3\u7b54\u65b0\u5ba2\u6237\u95ee\u9898\uff09\uff1b<\/li>\n\n\n\n
      4. \u4fe1\u606f\u67e5\u8be2\u5c5e\u6027\uff1a\u4e0d\u5f97\u5305\u542b\u4e2a\u4eba\u95ee\u9898\uff08\u5982 \u201c\u4f60\u53eb\u4ec0\u4e48\u540d\u5b57\u201d\u201c\u4f60\u7684\u5730\u5740\u662f\u4ec0\u4e48\u201d\uff09\u3001\u95f2\u804a\u6216\u5efa\u7acb\u878d\u6d3d\u5173\u7cfb\u7c7b\u95ee\u7b54\u5bf9\uff1b<\/li>\n\n\n\n
      5. \u4ee5\u5ba2\u6237\u4e3a\u4e2d\u5fc3\uff1a\u6240\u9009\u95ee\u9898\u5fc5\u987b\u7531\u5ba2\u6237\u63d0\u51fa\uff0c\u800c\u975e\u4ee3\u7406\uff1b<\/li>\n\n\n\n
      6. \u53ef\u7406\u89e3\u6027\uff1a\u82e5\u95ee\u9898\u6d89\u53ca\u67d0\u4ea7\u54c1\uff0c\u9700\u5728\u6240\u9009\u95ee\u7b54\u5bf9\u4e2d\u6ce8\u660e\u4ea7\u54c1\u540d\u79f0\uff0c\u786e\u4fdd\u7eb3\u5165\u77e5\u8bc6\u5e93\u540e\u6613\u4e8e\u7406\u89e3\uff1b<\/li>\n\n\n\n
      7. \u4e8b\u5b9e\u51c6\u786e\uff1a\u76f8\u8f83\u4e8e\u5bf9\u8bdd\u4e0a\u4e0b\u6587\uff0c\u95ee\u7b54\u5bf9\u5e94\u4e8b\u5b9e\u51c6\u786e\u3002<\/li>\n<\/ol>\n\n\n\n

        \u73b0\u63d0\u4f9b\u5bf9\u8bdd\u8bb0\u5f55\u53ca\u4ece\u4e2d\u63d0\u53d6\u7684\u95ee\u7b54\u5bf9\u5217\u8868\uff0c\u8bf7\u5224\u65ad\u54ea\u4e9b\u95ee\u7b54\u5bf9\u7b26\u5408\u4e0a\u8ff0\u6807\u51c6\uff0c\u5e76\u4ee5 JSON \u683c\u5f0f\u751f\u6210\u7b54\u6848\uff0c\u5305\u542b\u4ee5\u4e0b\u952e\uff1a<\/p>\n\n\n\n

        \uff081\uff09\u201cTotal Correct\u201d\uff08\u6b63\u786e\u6570\u91cf\uff09<\/p>\n\n\n\n

        \uff082\uff09\u201cTotal Predicted\u201d\uff08\u9884\u6d4b\u603b\u6570\uff09<\/p>\n\n\n\n

        \uff083\uff09\u201cJustification\u201d\uff08\u7406\u7531\uff09<\/p>\n\n\n\n

        \u5176\u4e2d\uff0c\u201c\u6b63\u786e\u6570\u91cf\u201d \u8868\u793a\u7b26\u5408\u6807\u51c6\u7684\u95ee\u7b54\u5bf9\u6570\u91cf\uff0c\u201c\u9884\u6d4b\u603b\u6570\u201d \u8868\u793a\u63d0\u4f9b\u7684\u95ee\u7b54\u5bf9\u603b\u6570\uff0c\u201c\u7406\u7531\u201d \u9700\u8bf4\u660e\u5f97\u51fa\u8be5\u7b54\u6848\u7684\u4f9d\u636e\u3002<\/p>\n\n\n\n

        \u5bf9\u8bdd\u8bb0\u5f55\uff1a[\u901a\u8bdd\u5bf9\u8bdd\u8bb0\u5f55]<\/p>\n\n\n\n

        \u63d0\u53d6\u7684\u95ee\u9898\uff1a[\u95ee\u7b54\u5bf9\u5217\u8868]<\/p>\n\n\n\n

        \u9644\u5f55 D \u793a\u4f8b\u9519\u8bef<\/h2>\n\n\n\n

        \u9519\u8bef\u6848\u4f8b\uff1a\u5927\u578b\u8bed\u8a00\u6a21\u578b\u8bc4\u4f30\u8005\u5c06\u6b63\u786e\u95ee\u7b54\u5bf9\u6807\u8bb0\u4e3a\u9519\u8bef<\/h3>\n\n\n\n

        \u6848\u4f8b 1\uff1a<\/h4>\n\n\n\n

        \u4ee3\u8868\u6027\u95ee\u9898\uff1a\u4ec0\u4e48\u662f\u3010X \u5e73\u53f0\u3011\uff1f\u5b83\u5177\u5907\u54ea\u4e9b\u529f\u80fd\uff1f<\/p>\n\n\n\n

        \u4ee3\u8868\u6027\u7b54\u6848\uff1a\u3010X \u5e73\u53f0\u3011\u662f\u4e00\u6b3e\u7528\u4e8e\u7ba1\u7406\u6d4b\u8bc4\u6d41\u7a0b\u7684\u6570\u5b57\u5316\u5e73\u53f0\u3002\u7528\u6237\u53ef\u901a\u8fc7\u8be5\u5e73\u53f0\u8d2d\u4e70\u6570\u5b57\u5316\u6d4b\u8bc4\u670d\u52a1\u53ca\u6d4b\u8bc4\u62a5\u544a\uff0c\u6d4b\u8bc4\u5b9e\u65bd\u65b9\u5f0f\u5305\u62ec\u4e09\u79cd\uff1a\u7ebf\u4e0b\u7ec4\u7ec7\u6d4b\u8bc4\u3001\u5411\u5ba2\u6237\u53d1\u9001\u8fdc\u7a0b\u5b8c\u6210\u94fe\u63a5\uff0c\u6216\u624b\u52a8\u5f55\u5165\u7eb8\u8d28\u6d4b\u8bc4\u7684\u7b54\u6848\u4ee5\u8fdb\u884c\u6570\u5b57\u5316\u8bc4\u5206\u3002\u8be5\u5e73\u53f0\u901a\u8fc7\u52a0\u5bc6\u6280\u672f\u4fdd\u969c\u6570\u636e\u4f20\u8f93\u5b89\u5168\uff0c\u5e76\u4e25\u683c\u9075\u5faa\u5b89\u5168\u7ba1\u7406\u89c4\u8303\u3002<\/p>\n\n\n\n

        \u7c7b\u578b\uff1a\u63d0\u53d6\uff08Extracted\uff09<\/p>\n\n\n\n

        \u89e3\u91ca\uff1a\u65e0\uff08N\/A\uff09<\/p>\n\n\n\n

        \u6848\u4f8b 2\uff1a<\/h4>\n\n\n\n

        \u4ee3\u8868\u6027\u95ee\u9898\uff1a\u5ba2\u6237\u4f7f\u7528\u7279\u5b9a\u6d4b\u8bd5\u6216\u5728\u7ebf\u6d4b\u8bc4\u670d\u52a1\u65f6\uff0c\u662f\u5426\u9700\u8981\u5355\u72ec\u8d2d\u4e70\u8bc4\u5206\u62a5\u544a\uff1f<\/p>\n\n\n\n

        \u4ee3\u8868\u6027\u7b54\u6848\uff1a\u662f\u7684\uff0c\u5373\u4fbf\u91c7\u7528\u5728\u7ebf\u5f62\u5f0f\uff0c\u8bc4\u5206\u62a5\u544a\u4ecd\u9700\u5355\u72ec\u8d2d\u4e70\u3002<\/p>\n\n\n\n

        \u7c7b\u578b\uff1a\u63d0\u53d6\uff08Extracted\uff09<\/p>\n\n\n\n

        \u89e3\u91ca\uff1a\u65e0\uff08N\/A\uff09<\/p>\n\n\n\n

        \u6848\u4f8b 3\uff1a<\/h4>\n\n\n\n

        \u4ee3\u8868\u6027\u95ee\u9898\uff1a\u5ba2\u6237\u5728\u5728\u7ebf\u4e0b\u5355\u8fc7\u7a0b\u4e2d\u9047\u5230\u95ee\u9898\u6216\u6280\u672f\u6545\u969c\uff0c\u5e94\u5982\u4f55\u5904\u7406\uff1f<\/p>\n\n\n\n

        \u4ee3\u8868\u6027\u7b54\u6848\uff1a\u5ba2\u6237\u5728\u7ebf\u4e0b\u5355\u65f6\u82e5\u906d\u9047\u95ee\u9898\u6216\u6280\u672f\u6545\u969c\uff0c\u53ef\u9009\u62e9\u4ee5\u4e0b\u4e24\u79cd\u89e3\u51b3\u65b9\u6848\uff1a\u4e00\u662f\u5c1d\u8bd5\u6e05\u9664\u6d4f\u89c8\u5668\u7f13\u5b58\u3001\u6d4f\u89c8\u5386\u53f2\u53ca Cookie \u6587\u4ef6\uff0c\u968f\u540e\u91cd\u542f\u6d4f\u89c8\u5668\uff1b\u4e8c\u662f\u8054\u7cfb\u5ba2\u6237\u670d\u52a1\u5bfb\u6c42\u534f\u52a9\uff0c\u5ba2\u670d\u4ee3\u7406\u53ef\u901a\u8fc7\u7535\u8bdd\u5e2e\u5ba2\u6237\u5b8c\u6210\u4e0b\u5355\uff0c\u6216\u624b\u52a8\u5904\u7406\u8ba2\u5355\u6d41\u7a0b\u3002<\/p>\n\n\n\n

        \u7c7b\u578b\uff1a\u91cd\u5199\uff08Rewritten\uff09<\/p>\n\n\n\n

        \u89e3\u91ca\uff1a\u4ee3\u8868\u6027\u95ee\u9898\u6574\u5408\u4e86\u591a\u4e2a\u76f8\u4f3c\u95ee\u9898\u7684\u6838\u5fc3\u8bc9\u6c42\uff0c\u6db5\u76d6\u95ee\u9898\u7684\u6240\u6709\u5173\u952e\u573a\u666f\uff1b\u4ee3\u8868\u6027\u7b54\u6848\u7efc\u5408\u4e86\u591a\u4e2a\u95ee\u7b54\u5bf9\u4e2d\u7684\u63a8\u8350\u65b9\u6848\uff0c\u65e2\u63d0\u4f9b\u81ea\u52a9\u5f0f\u6545\u969c\u6392\u67e5\u6b65\u9aa4\uff08\u6e05\u9664\u7f13\u5b58\uff09\uff0c\u4e5f\u5305\u542b\u76f4\u63a5\u652f\u6301\u9014\u5f84\uff08\u8054\u7cfb\u5ba2\u670d\u8fdb\u884c\u624b\u52a8\u4e0b\u5355\uff09\u3002\u8fd9\u79cd\u6574\u5408\u65b9\u5f0f\u8986\u76d6\u4e86\u4e0d\u540c\u89e3\u51b3\u65b9\u6848\uff0c\u5185\u5bb9\u66f4\u5177\u5b8c\u6574\u6027\u3002<\/p>\n\n\n\n

        \u6587\u7ae0\u6765\u6e90\uff1a<\/p>\n\n\n\n

        https:\/\/arxiv.org\/html\/2510.08149v1<\/a><\/p>\n\n\n\n

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

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