{"id":39511,"date":"2025-03-19T07:02:23","date_gmt":"2025-03-18T23:02:23","guid":{"rendered":"https:\/\/17aitech.com\/?p=39511"},"modified":"2025-03-19T07:02:23","modified_gmt":"2025-03-18T23:02:23","slug":"%e7%94%a8llm%e5%81%9a%e5%8d%8a%e5%af%bc%e4%bd%93%e8%ae%be%e8%ae%a1%ef%bc%8cibmmit%e6%8f%90%e5%87%ba%e5%8f%97%e7%a5%9e%e7%bb%8f%e5%90%af%e5%8f%91%e7%9a%84llm%e6%8e%a8%e7%90%86%e7%bd%91%e7%bb%9csol","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=39511","title":{"rendered":"\u7528LLM\u505a\u534a\u5bfc\u4f53\u8bbe\u8ba1\uff0cIBM&MIT\u63d0\u51fa\u53d7\u795e\u7ecf\u542f\u53d1\u7684LLM\u63a8\u7406\u7f51\u7edcSOLOMON"},"content":{"rendered":"

\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:\u7528LLM\u505a\u534a\u5bfc\u4f53\u8bbe\u8ba1\uff0cIBM&MIT\u63d0\u51fa\u53d7\u795e\u7ecf\u542f\u53d1\u7684LLM\u63a8\u7406\u7f51\u7edcSOLOMON<\/a><\/p>\n

<\/a><\/section>\n

\u7f16\u8f91\u4e28coisini<\/p>\n

\u5c3d\u7ba1\u5927\u578b\u8bed\u8a00\u6a21\u578b<\/mark>\uff08LLM\uff09\u64c5\u957f\u590d\u6742\u63a8\u7406\uff0c\u4f46\u5728\u9002\u5e94\u7279\u5b9a\u9886\u57df\u65f6\u4ecd\u9762\u4e34\u6311\u6218\uff0c\u5c24\u5176\u662f\u5728\u9700\u8981\u7a7a\u95f4\u63a8\u7406\u548c\u89e3\u51b3\u7ed3\u6784\u5316\u95ee\u9898\u7684\u9886\u57df\u3002\u534a\u5bfc\u4f53\u5e03\u5c40\u8bbe\u8ba1\u5c31\u662f\u4e00\u4e2a\u5178\u578b\u4f8b\u5b50\uff0cAI \u5de5\u5177\u5fc5\u987b\u7406\u89e3\u51e0\u4f55\u7ea6\u675f\u5e76\u786e\u4fdd\u7ec4\u4ef6\u7684\u7cbe\u786e\u5e03\u5c40\u3002<\/p>\n

\u57fa\u4e8e\u6b64\uff0c\u6765\u81ea IBM<\/mark> TJ \u6c83\u68ee\u7814\u7a76\u4e2d\u5fc3\u548c MIT-IBM<\/mark> \u6c83\u68ee\u4eba\u5de5\u667a\u80fd<\/mark>\u5b9e\u9a8c\u5ba4\u7684\u7814\u7a76\u4eba\u5458\u63d0\u51fa\u4e86\u4e00\u79cd\u53d7\u795e\u7ecf\u542f\u53d1\u7684 LLM \u63a8\u7406\u7f51\u7edc<\/mark> \u2014\u2014SOLOMON\uff0c\u65e8\u5728\u589e\u5f3a\u9886\u57df\u7279\u5b9a\u7684\u9002\u5e94\u6027\u3002\u4e0e\u4f20\u7edf\u65b9\u6cd5\u4e0d\u540c\uff0cSOLOMON \u91c7\u7528\u591a\u667a\u80fd\u4f53\u63a8\u7406\u7cfb\u7edf\uff0c\u52a8\u6001\u5904\u7406\u7a7a\u95f4\u7ea6\u675f\u548c\u51e0\u4f55\u5173\u7cfb\u3002<\/p>\n

<\/a><\/section>\n

\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/arxiv.org\/pdf\/2502.04384<\/p>\n

SOLOMON \u6846\u67b6\u96c6\u6210\u4e86\u601d\u7ef4\u8bc4\u4f30\u673a\u5236\uff0c\u901a\u8fc7\u8fed\u4ee3\u4f18\u5316\u8f93\u51fa\uff0c\u63d0\u9ad8\u89e3\u51b3\u95ee\u9898\u7684\u51c6\u786e\u6027\u3002SOLOMON \u5229\u7528\u63d0\u793a\u5de5\u7a0b\uff08prompt engineering\uff09\u6765\u5f15\u5bfc LLM \u751f\u6210\u89e3\u51b3\u65b9\u6848\uff0c\u4f7f\u5176\u80fd\u591f\u4ee5\u6700\u5c11\u7684\u91cd\u65b0\u8bad\u7ec3\u9002\u5e94\u534a\u5bfc\u4f53\u5e03\u5c40\u4efb\u52a1\u3002<\/p>\n

\u5982\u4e0b\u56fe\u6240\u793a\uff0cSOLOMON \u67b6\u6784\u53d7\u5230\u4e24\u79cd\u7406\u8bba\u7684\u542f\u53d1\uff1a\u7c7b\u8111\u901a\u7528\u4eba\u5de5\u667a\u80fd<\/mark>\uff08Brain-like AGI\uff09\u548c\u81ea\u7531\u80fd\u539f\u7406\uff08Free Energy Principle, FEP\uff09\u3002<\/p>\n

<\/a><\/section>\n

\u7c7b\u8111\u901a\u7528\u4eba\u5de5\u667a\u80fd<\/mark>\u542f\u53d1\u7814\u7a76\u56e2\u961f\u5229\u7528\u591a\u4e2a\u5927\u578b\u8bed\u8a00\u6a21\u578b<\/mark>\uff08LLM\uff09\u7684\u601d\u7ef4\u6c60\u6765\u53d1\u73b0\u6700\u4f73\u63a8\u7406\u8ba1\u5212\u3002\u7814\u7a76\u56e2\u961f\u8fd8\u5e94\u7528\u4e86\u81ea\u7531\u80fd\u539f\u7406\u7684\u6838\u5fc3\u89c2\u70b9\uff0c\u5373\u4eba\u7c7b\u6ce8\u610f\u529b\u96c6\u4e2d\u4e8e\u6700\u5c0f\u5316\u76ee\u6807\u4e0e\u611f\u77e5<\/mark>\u4e4b\u95f4\u7684\u5dee\u5f02\uff0c\u4ece\u800c\u9009\u62e9\u76f8\u5173\u4fe1\u606f\u5e76\u907f\u514d\u5e38\u89c1\u9677\u9631\u3002<\/p>\n

SOLOMON \u7684\u5173\u952e\u7ec4\u4ef6\u5305\u62ec\uff1a<\/p>\n

\u601d\u7ef4\u751f\u6210\u5668\uff08Thought Generators\uff09\uff1a\u7531\u4e00\u7ec4\u591a\u6837\u5316\u7684\u5927\u578b\u8bed\u8a00\u6a21\u578b<\/mark>\uff08LLMs\uff09\u7ec4\u6210\uff0c\u8d1f\u8d23\u4e3a\u76ee\u6807\u4efb\u52a1\u751f\u6210\u591a\u79cd\u601d\u7ef4\u3002\u601d\u7ef4\u751f\u6210\u5668\u901a\u8fc7\u300c\u601d\u7ef4\u6811\uff08Tree-of-Thoughts\uff09\u300d\u6784\u5efa\u4e86\u4e00\u4e2a\u9ad8\u6548\u7684\u5e76\u884c\u641c\u7d22\u5f15\u64ce\uff0c\u5e76\u4f5c\u4e3a\u601d\u7ef4\u8bc4\u4f30\u5668\uff08Thought Assessor\uff09\u7684\u81ea\u9002\u5e94\u68c0\u7d22\u589e\u5f3a\u751f<\/mark>\u6210\uff08RAG\uff09\u7cfb\u7edf\u3002<\/p>\n

\u601d\u7ef4\u8bc4\u4f30\u5668\uff08Thought Assessor\uff09\uff1a\u4e00\u4e2a\u57fa\u4e8e LLM \u7684\u7cfb\u7edf\uff0c\u7528\u4e8e\u5206\u6790\u63d0\u51fa\u7684\u300c\u601d\u7ef4\u300d\u4ee5\u751f\u6210\u7cbe\u70bc\u7684\u8f93\u51fa\u3002\u5b83\u5bf9\u601d\u7ef4\u751f\u6210\u5668\u7684\u8f93\u51fa\u8fdb\u884c\u4e0a\u4e0b\u6587\u5b66\u4e60\uff0c\u5e76\u9075\u5faa\u81ea\u7531\u80fd\u539f\u7406\u3002<\/p>\n

\u5bfc\u5411\u5b50\u7cfb\u7edf\uff08Steering Subsystem\uff09\uff1a\u4e00\u4e2a\u7531\u4eba\u5de5\u64cd\u4f5c\u7684\u7ec4\u4ef6\uff0c\u7528\u4e8e\u63a7\u5236\u601d\u7ef4\u751f\u6210\u5668\u548c\u601d\u7ef4\u8bc4\u4f30\u5668\u7684\u6ce8\u610f\u529b\u3002<\/p>\n

\u4e0e\u5fae\u8c03\u4e0d\u540c\uff0cSOLOMON \u67b6\u6784\u65e0\u9700\u6301\u7eed\u91cd\u65b0\u8bad\u7ec3\uff0c\u5728\u4e13\u4e1a\u5e94\u7528\u4e2d\u66f4\u4e3a\u9ad8\u6548\u3002<\/p>\n

\u4e3a\u4e86\u8bc4\u4f30 SOLOMON \u7684\u6709\u6548\u6027\uff0c\u7814\u7a76\u56e2\u961f\u5728 25 \u4e2a\u534a\u5bfc\u4f53\u5e03\u5c40\u4efb\u52a1\u4e0a\u8fdb\u884c\u4e86\u5b9e\u9a8c\uff0c\u91c7\u7528\u4e94\u4e2a\u57fa\u7ebf LLM \u8fdb\u884c\u4e86\u6bd4\u8f83\uff0c\u5305\u62ec GPT-4o\u3001Claude-3.5-Sonnet \u548c Llama-3 \u7b49\uff0c\u65e8\u5728\u8bc4\u4f30\u6a21\u578b\u5728\u751f\u6210\u51e0\u4f55\u7ed3\u6784\u65f6\u4fdd\u6301\u7a7a\u95f4\u51c6\u786e\u6027\u7684\u80fd\u529b\u3002SOLOMON \u5728\u51cf\u5c11\u8fd0\u884c\u65f6\u9519\u8bef\u548c\u6269\u5c55\u4e0d\u51c6\u786e\u6027\u65b9\u9762\u8868\u73b0\u51fa\u6539\u8fdb\uff0c\u5c55\u793a\u4e86\u66f4\u597d\u7684\u7a7a\u95f4\u63a8\u7406\u80fd\u529b\uff0c\u63d0\u9ad8\u4e86\u5e03\u5c40\u7cbe\u5ea6\u5e76\u51cf\u5c11\u4e86\u751f\u6210\u8bbe\u8ba1\u4e2d\u7684\u9519\u8bef\u3002<\/p>\n

<\/a><\/section>\n

\u603b\u7684\u6765\u8bf4\uff0cSOLOMON \u7684\u4e00\u4e2a\u5173\u952e\u4f18\u52bf\u5728\u4e8e\u5176\u80fd\u591f\u7ea0\u6b63\u51e0\u4f55\u8bbe\u8ba1\u4e2d\u7684\u903b\u8f91<\/mark>\u4e0d\u4e00\u81f4\u548c\u7b97\u672f<\/mark>\u9519\u8bef\u3002SOLOMON \u4e3a\u5c06 AI \u5e94\u7528\u4e8e\u7279\u5b9a\u9886\u57df\u95ee\u9898\u89e3\u51b3\uff08\u5c24\u5176\u662f\u534a\u5bfc\u4f53\u5e03\u5c40\u8bbe\u8ba1\uff09\u63d0\u4f9b\u4e86\u4e00\u79cd\u7ed3\u6784\u5316\u4e14\u9ad8\u6548\u7684\u65b9\u6cd5\u3002<\/p>\n

<\/a><\/section>\n

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\u76f8\u5173\u62a5\u9053\uff1ahttps:\/\/www.marktechpost.com\/2025\/02\/16\/this-ai-paper-from-ibm-and-mit-introduces-solomon-a-neuro-inspired-reasoning-network-for-enhancing-llm-adaptability-in-semiconductor-layout-design\/<\/p>\n

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