{"id":48803,"date":"2024-03-07T20:24:09","date_gmt":"2024-03-07T12:24:09","guid":{"rendered":"https:\/\/swarma.org\/?p=48803"},"modified":"2024-03-07T20:24:09","modified_gmt":"2024-03-07T12:24:09","slug":"%e6%99%ba%e8%83%bd%e4%bd%93%e5%8d%8f%e4%bd%9c%e5%bc%8f%e8%bd%af%e4%bb%b6%e5%bc%80%e5%8f%91%e4%b8%8e%e5%a4%a7%e6%a8%a1%e5%9e%8b%e8%83%bd%e5%8a%9b%e6%bf%80%e5%8f%91%e4%b8%a8%e5%91%a8%e5%85%ad%e7%9b%b4","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=48803","title":{"rendered":"\u667a\u80fd\u4f53\u534f\u4f5c\u5f0f\u8f6f\u4ef6\u5f00\u53d1\u4e0e\u5927\u6a21\u578b\u80fd\u529b\u6fc0\u53d1\u4e28\u5468\u516d\u76f4\u64ad\u00b7\u5927\u8bed\u8a00\u6a21\u578b\u4e0e\u591a\u667a\u80fd\u4f53\u7cfb\u7edf\u8bfb\u4e66\u4f1a"},"content":{"rendered":"
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      Solo Performance Prompting\uff1a\u6fc0\u53d1\u5927\u8bed\u8a00\u6a21\u578b\u8ba4\u77e5\u534f\u540c\u7684\u80fd\u529b<\/span><\/strong><\/span><\/section>\n
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          [1] Qian C, Cong X, Yang C, et al. Communicative agents for software development. arXiv preprint arXiv:2307.07924, 2023.<\/span><\/p>\n

          [2] Qian C, Dang Y, Li J, et al. Experiential co-learning of software-developing agents. arXiv preprint arXiv:2312.17025, 2023.<\/span><\/p>\n

          [3] Wang Z, Mao S, Wu W, et al. Unleashing the emergent cognitive synergy in large language models: A task-solving agent through multi-persona self-collaboration[J]. arXiv preprint arXiv:2307.05300, 2023.<\/span><\/p>\n


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          \n
          \n
          \n
          \n
          \n

          <\/section>\n

          <\/section>\n
          \n
          <\/svg><\/section>\n<\/section>\n<\/section>\n
          \n

          \u7279\u522b\u81f4\u8c22\u5355\u4f4d<\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

          \n

          <\/section>\n

          <\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n


          <\/p>\n

          \u6b64\u6b21\u6d3b\u52a8\u7279\u522b\u9e23\u8c22Datawhale\u3001Agents42\u3002<\/span><\/section>\n

          Datawhale<\/span><\/strong><\/span><\/h4>\n
          \u4e00\u4e2a\u4e13\u6ce8\u4e8eAI\u9886\u57df\u7684\u5f00\u6e90\u7ec4\u7ec7\uff0c\u6c47\u805a\u4e86\u4f17\u591a\u4f18\u79c0\u5b66\u4e60\u8005\uff0c\u4f7f\u547dfor the learner\uff0c\u548c\u5b66\u4e60\u8005\u4e00\u8d77\u6210\u957f\u3002<\/span><\/section>\n

          Agents42<\/span><\/strong><\/span><\/h4>\n

          \u4e00\u4e2a\u81f4\u529b\u4e8e\u63a8\u8fdbAI Agents\u4ea7\u5b66\u7814\u878d\u5408\u53ca\u521b\u65b0\u7684\u751f\u6001\u5f00\u653e\u5e73\u53f0\u3002<\/span><\/p>\n

          <\/span><\/section>\n


          <\/p>\n

          \u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c\u62a5\u540d\u8bfb\u4e66\u4f1a<\/span><\/section>\n

          <\/mp-style-type><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

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