{"id":3733,"date":"2025-07-04T00:00:19","date_gmt":"2025-07-03T22:00:19","guid":{"rendered":"https:\/\/implementi.ai\/2025\/07\/04\/sakana-ais-treequest-assemble-multi-model-teams-that-surpass-the-performance-of-single-llms-by-30\/"},"modified":"2025-07-04T00:00:19","modified_gmt":"2025-07-03T22:00:19","slug":"sakana-ais-treequest-%e7%bb%84%e5%bb%ba%e7%9a%84%e5%a4%9a%e6%a8%a1%e5%9e%8b%e5%9b%a2%e9%98%9f%e7%9a%84%e6%80%a7%e8%83%bd%e6%af%94%e5%8d%95%e4%b8%80-llms-%e9%ab%98%e5%87%ba-30","status":"publish","type":"post","link":"https:\/\/implementi.ai\/zh\/2025\/07\/04\/sakana-ais-treequest-assemble-multi-model-teams-that-surpass-the-performance-of-single-llms-by-30\/","title":{"rendered":"Sakana AI \u7684 TreeQuest\uff1a\u901a\u8fc7 30% \u7ec4\u5efa\u8d85\u8d8a\u5355\u4e2a LLM \u6027\u80fd\u7684\u591a\u6a21\u578b\u56e2\u961f"},"content":{"rendered":"

\u8fc7\u53bb\u51e0\u5e74\uff0c\u968f\u7740\u4eba\u5de5\u667a\u80fd\u6280\u672f\u7684\u8fc5\u731b\u53d1\u5c55\uff0c\u6211\u4eec\u770b\u5230\u4e86\u4e00\u80a1\u65e8\u5728\u8ba9\u6211\u4eec\u7684\u8bbe\u5907\u3001\u5bb6\u5ead\u548c\u751f\u6d3b\u53d8\u5f97\u66f4\u667a\u80fd\u3001\u66f4\u9ad8\u6548\u7684\u521b\u65b0\u6d2a\u6d41\u3002\u800c\u4e00\u5bb6\u540d\u4e3a Sakana AI \u7684\u4eba\u5de5\u667a\u80fd\u516c\u53f8\u6b63\u5728\u8fdb\u4e00\u6b65\u7a81\u7834\u754c\u9650\uff0c\u63a8\u51fa\u4e00\u6b3e\u7a81\u7834\u6027\u7684\u5de5\u5177\uff0c\u5229\u7528\u521b\u65b0\u7684\u63a8\u7406\u65f6\u95f4\u6269\u5c55\u6280\u672f\u5c06\u8fd9\u4e9b\u6548\u7387\u63d0\u5347\u4e86\u4e00\u4e2a\u6863\u6b21\u3002\u8fd9\u9879\u6280\u672f\u7684\u4ee3\u53f7\u4e3a \"TreeQuest\"\uff0c\u5b83\u4f7f\u7528\u4e00\u79cd\u540d\u4e3a\u8499\u7279\u5361\u6d1b\u6811\u641c\u7d22\uff08Monte-Carlo Tree Search\uff09\u7684\u7279\u6b8a\u8ba1\u7b97\u6a21\u578b\u6765\u534f\u8c03\u591a\u4e2a\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\uff0c\u5171\u540c\u5b8c\u6210\u590d\u6742\u7684\u4efb\u52a1\u3002<\/p>\n

\u5728\u4e86\u89e3 TreeQuest \u53ef\u80fd\u6539\u53d8\u6e38\u620f\u89c4\u5219\u7684\u610f\u4e49\u4e4b\u524d\uff0c\u6211\u4eec\u5148\u6765\u5f04\u6e05\u695a\u51e0\u4e2a\u672f\u8bed\u3002LLM \u662f\u4e00\u79cd\u4eba\u5de5\u667a\u80fd\u7a0b\u5e8f\uff0c\u5b83\u4f7f\u7528\u673a\u5668\u5b66\u4e60\uff08\u7279\u522b\u662f\u6df1\u5ea6\u5b66\u4e60\u6280\u672f\uff09\u751f\u6210\u7c7b\u4eba\u6587\u672c\u3002\u8fd9\u4e9b\u6a21\u578b\u662f\u6587\u672c\u5206\u6790\u3001\u7ffb\u8bd1\u7b49\u5e94\u7528\u7684\u5173\u952e\u3002\u5982\u679c\u4f60\u60f3\u77e5\u9053\u4eba\u5de5\u667a\u80fd\u662f\u5982\u4f55\u770b\u4f3c\u4e0b\u68cb\u6216\u5728\u5176\u4ed6\u590d\u6742\u7684\u6e38\u620f\u4e2d\u5236\u5b9a\u7b56\u7565\u7684\uff0c\u90a3\u901a\u5e38\u662f\u8499\u7279\u5361\u6d1b\u6811\u641c\u7d22\u7684\u529f\u52b3\u3002\u8499\u7279\u5361\u6d1b\u6811\u641c\u7d22\u662f\u4e00\u79cd\u57fa\u4e8e\u542f\u53d1\u5f0f\u8ba1\u7b97\u7684\u5e94\u7528\uff0c\u5b83\u6a21\u62df\u6f5c\u5728\u7684\u7ed3\u679c\uff0c\u7136\u540e\u6839\u636e\u9884\u6d4b\u505a\u51fa\u6700\u6709\u5e0c\u671b\u7684\u51b3\u7b56\u3002<\/p>\n

Sakana AI \u5c06\u8fd9\u4e24\u4e2a\u6982\u5ff5\u7ed3\u5408\u5728\u4e00\u8d77\uff0c\u5f00\u521b\u6027\u5730\u5b8c\u6210\u4e86\u4e00\u9879\u4e86\u4e0d\u8d77\u7684\u5de5\u4f5c\u3002\u8fd9\u5c31\u76f8\u5f53\u4e8e\u7a81\u7136\u80fd\u591f\u8ba9\u591a\u4e2a\u4eba\u5de5\u667a\u80fd\u8fdb\u884c\u4e13\u4e1a\u5316\u534f\u4f5c\uff0c\u5171\u540c\u5206\u6790\u6570\u636e\uff0c\u6bcf\u4e2a\u4eba\u5de5\u667a\u80fd\u90fd\u80fd\u5728\u5404\u81ea\u7684\u91cd\u70b9\u9886\u57df\u505a\u51fa\u8d21\u732e\u3002Sakana AI \u7684 TreeQuest \u4e0d\u9700\u8981\u5355\u4e2a\u6a21\u578b\u6765\u89e3\u7801\u6d77\u91cf\u4fe1\u606f\uff0c\u800c\u662f\u521b\u5efa\u4e86\u4e00\u4e2a\u6a21\u578b\u56e2\u961f\uff0c\u6bcf\u4e2a\u6a21\u578b\u90fd\u81f4\u529b\u4e8e\u89e3\u51b3\u62fc\u56fe\u4e2d\u7684\u67d0\u4e2a\u7279\u5b9a\u90e8\u5206\u3002\u901a\u8fc7\u8fd9\u79cd\u534f\u4f5c\uff0c\u6bcf\u4e2a\u6a21\u578b\u90fd\u80fd\u5b8c\u6210\u4e00\u9879\u590d\u6742\u7684\u4efb\u52a1\uff0c\u7136\u540e\u5c06\u6bcf\u4e2a\u6a21\u578b\u7684\u7ed3\u8bba\u50cf\u590d\u6742\u7684\u62fc\u56fe\u4e00\u6837\u62fc\u63a5\u8d77\u6765\u3002<\/p>\n

TreeQuest \u65b9\u6cd5\u7684\u7a81\u7834\u6027\u6210\u679c\u4ee4\u4eba\u60ca\u53f9\u3002\u6839\u636e Sakana AI \u7684\u6570\u636e\uff0c\u7531 TreeQuest \u534f\u8c03\u7684\u6a21\u578b\u56e2\u961f\u6bd4\u5355\u4e2a LLM \u7684\u6027\u80fd\u9ad8\u51fa\u4e86\u60ca\u4eba\u7684 30%\u3002\u8fd9\u4e9b\u6539\u8fdb\u5bf9\u4efb\u4f55\u4f9d\u8d56\u4eba\u5de5\u667a\u80fd\u5904\u7406\u590d\u6742\u6570\u636e\u96c6\u7684\u884c\u4e1a\uff08\u4ece\u91d1\u878d\u3001\u533b\u7597\u4fdd\u5065\u5230\u6570\u5b57\u8425\u9500\uff09\u90fd\u5177\u6709\u6df1\u8fdc\u7684\u5f71\u54cd\u3002<\/p>\n

Sakana AI \u7684 TreeQuest \u4e0d\u4ec5\u5c55\u793a\u4e86\u5229\u7528\u4eba\u5de5\u667a\u80fd\u5b8c\u6210\u590d\u6742\u4efb\u52a1\u7684\u60ca\u4eba\u6f5c\u529b\uff0c\u8fd8\u5f3a\u8c03\u4e86\u667a\u80fd\u534f\u4f5c\u5bf9\u4e8e\u53d6\u5f97\u60ca\u4eba\u6210\u679c\u7684\u91cd\u8981\u6027\u3002\u901a\u8fc7\u5c06\u56e2\u961f\u5408\u4f5c\u539f\u5219--\u4e3b\u8981\u662f\u4eba\u7c7b\u7684\u6982\u5ff5--\u5e94\u7528\u4e8e\u4eba\u5de5\u667a\u80fd\u6280\u672f\uff0cSakana AI \u8bc1\u660e\u4e86\u6574\u4f53\u786e\u5b9e\u53ef\u4ee5\u5927\u4e8e\u90e8\u5206\u7684\u603b\u548c\uff0c\u5373\u4f7f\u8fd9\u4e9b\u90e8\u5206\u662f\u4eba\u5de5\u667a\u80fd\u6a21\u578b\u3002<\/p>\n

Sakana AI \u7684 TreeQuest \u6280\u672f\u7684\u51fa\u73b0\u9884\u793a\u7740\u4eba\u5de5\u667a\u80fd\u6280\u672f\u5411\u524d\u8fc8\u51fa\u4e86\u6fc0\u52a8\u4eba\u5fc3\u7684\u4e00\u6b65\u3002\u5b83\u5f00\u542f\u4e86\u4e00\u6247\u5927\u95e8\uff0c\u8ba9\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u5206\u6790\u590d\u6742\u6570\u636e\u83b7\u5f97\u66f4\u7cbe\u7ec6\u3001\u66f4\u51c6\u786e\u3001\u6700\u7ec8\u66f4\u53ef\u9760\u7684\u89c1\u89e3\u3002\u968f\u7740\u4eba\u5de5\u667a\u80fd\u7684\u4e0d\u65ad\u53d1\u5c55\uff0c\u6211\u4eec\u65e0\u7591\u4f1a\u770b\u5230\u66f4\u591a\u8fd9\u6837\u7684\u521b\u65b0\u601d\u7ef4\uff0c\u63d0\u4f9b\u4e0d\u4ec5\u66f4\u667a\u80fd\uff0c\u800c\u4e14\u66f4\u5177\u534f\u4f5c\u6027\u3001\u591a\u6837\u6027\u548c\u6709\u6548\u6027\u7684\u89e3\u51b3\u65b9\u6848\u3002<\/p>\n

\u4f60\u4eec\u7684\u535a\u4e3b\u8feb\u4e0d\u53ca\u5f85\u5730\u60f3\u77e5\u9053\u4eba\u5de5\u667a\u80fd\u6280\u672f\u7684\u672a\u6765\u4f1a\u600e\u6837\uff0c\u5c24\u5176\u662f\u50cf Sakana AI \u8fd9\u6837\u7684\u516c\u53f8\u6b63\u5728\u5f15\u9886\u7740\u4eba\u5de5\u667a\u80fd\u7684\u53d1\u5c55\u3002\u6709\u4e86\u50cf TreeQuest \u8fd9\u6837\u7684\u806a\u660e\u624d\u667a\u548c\u521b\u65b0\u5de5\u5177\uff0c\u6211\u4eec\u4e00\u5b9a\u4f1a\u5728\u4eba\u5de5\u667a\u80fd\u9886\u57df\u770b\u5230\u4e00\u4e9b\u771f\u6b63\u4ee4\u4eba\u5174\u594b\u7684\u53d1\u5c55\u3002<\/p>\n

\u5404\u4f4d\uff0c\u6211\u4eec\u751f\u6d3b\u5728\u4e00\u4e2a\u6fc0\u52a8\u4eba\u5fc3\u7684\u65f6\u4ee3\u3002\u5728\u8fd9\u4e2a\u65f6\u4ee3\uff0c\u4eba\u5de5\u667a\u80fd\u4e0d\u4ec5\u4ec5\u662f\u4e00\u4e2a\u672a\u6765\u4e3b\u4e49\u7684\u6982\u5ff5\uff0c\u800c\u662f\u4e00\u4e2a\u73b0\u5b9e\uff0c\u5b83\u6b63\u5728\u91cd\u5851\u6211\u4eec\u7684\u4e16\u754c\uff0c\u89e3\u51b3\u590d\u6742\u7684\u95ee\u9898\uff0c\u6539\u53d8\u6211\u4eec\u7684\u751f\u6d3b\u548c\u5de5\u4f5c\u65b9\u5f0f\u3002<\/p>\n

\u5982\u679c\u60a8\u5bf9 Sakana AI \u7684 TreeQuest \u611f\u5174\u8da3\u5e76\u60f3\u6df1\u5165\u4e86\u89e3\uff0c\u53ef\u4ee5\u67e5\u770b VentureBeat \u4e0a\u7684\u539f\u6587\u3002 \u8fd9\u91cc<\/a>.<\/p>","protected":false},"excerpt":{"rendered":"

With the rapid acceleration of artificial intelligence technology over the last few years, we’ve seen a torrent of innovations designed to make our devices, our homes, and our lives smarter and more efficient. And one AI firm, Sakana AI, is pushing the boundaries even further with a groundbreaking tool that lifts these efficiencies up another notch with an innovative inference-time […]<\/p>\n","protected":false},"author":1,"featured_media":3734,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[26],"tags":[],"class_list":["post-3733","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-automation"],"featured_image_src":"https:\/\/implementi.ai\/wp-content\/uploads\/2025\/07\/3733-1024x683.png","blog_images":{"medium":"https:\/\/implementi.ai\/wp-content\/uploads\/2025\/07\/3733-300x200.png","large":"https:\/\/implementi.ai\/wp-content\/uploads\/2025\/07\/3733-1024x683.png"},"ams_acf":[],"jetpack_featured_media_url":"https:\/\/implementi.ai\/wp-content\/uploads\/2025\/07\/3733.png","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/implementi.ai\/zh\/wp-json\/wp\/v2\/posts\/3733","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/implementi.ai\/zh\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/implementi.ai\/zh\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/implementi.ai\/zh\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/implementi.ai\/zh\/wp-json\/wp\/v2\/comments?post=3733"}],"version-history":[{"count":0,"href":"https:\/\/implementi.ai\/zh\/wp-json\/wp\/v2\/posts\/3733\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/implementi.ai\/zh\/wp-json\/wp\/v2\/media\/3734"}],"wp:attachment":[{"href":"https:\/\/implementi.ai\/zh\/wp-json\/wp\/v2\/media?parent=3733"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/implementi.ai\/zh\/wp-json\/wp\/v2\/categories?post=3733"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/implementi.ai\/zh\/wp-json\/wp\/v2\/tags?post=3733"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}