{"id":17445,"date":"2024-01-11T15:01:07","date_gmt":"2024-01-11T07:01:07","guid":{"rendered":"https:\/\/aif.amtbbs.org\/?p=17445"},"modified":"2024-01-11T15:01:07","modified_gmt":"2024-01-11T07:01:07","slug":"%e5%9b%bd%e5%86%85%e5%a4%9a%e6%89%80%e9%ab%98%e6%a0%a1%e5%85%b1%e5%bb%ba%e5%bc%80%e6%ba%90%e7%a4%be%e5%8c%balamm%ef%bc%8c%e5%8a%a0%e5%85%a5%e5%a4%9a%e6%a8%a1%e6%80%81%e8%af%ad%e8%a8%80%e6%a8%a1","status":"publish","type":"post","link":"https:\/\/aif.amtbbs.org\/index.php\/2024\/01\/11\/17445\/","title":{"rendered":"\u56fd\u5185\u591a\u6240\u9ad8\u6821\u5171\u5efa\u5f00\u6e90\u793e\u533aLAMM\uff0c\u52a0\u5165\u591a\u6a21\u6001\u8bed\u8a00\u6a21\u578b\u5927\u5bb6\u5ead\u7684\u65f6\u5019\u5230\u4e86"},"content":{"rendered":"
LAMM (Language-Assisted Multi-Modal) \u65e8\u5728\u5efa\u8bbe\u9762\u5411\u5f00\u6e90\u5b66\u672f\u793e\u533a\u7684\u591a\u6a21\u6001\u6307\u4ee4\u5fae\u8c03\u53ca\u8bc4\u6d4b\u6846\u67b6\uff0c\u5176\u5305\u62ec\u4e86\u9ad8\u5ea6\u4f18\u5316\u7684\u8bad\u7ec3\u6846\u67b6\u3001\u5168\u9762\u7684\u8bc4\u6d4b\u4f53\u7cfb\uff0c\u652f\u6301\u591a\u79cd\u89c6\u89c9\u6a21\u6001\u3002<\/div>\n
\n
\n

ChatGPT\u95ee\u4e16\u4ee5\u6765\uff0c\u5927\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u5b9e\u73b0\u4e86\u8df3\u8dc3\u5f0f\u53d1\u5c55\uff0c\u57fa\u4e8e\u81ea\u7136\u8bed\u8a00\u8fdb\u884c\u4eba\u673a\u4ea4\u4e92\u7684AI\u8303\u5f0f\u5f97\u5230\u5e7f\u6cdb\u8fd0\u7528\u3002\u7136\u800c\uff0c\u4eba\u7c7b\u4e0e\u4e16\u754c\u7684\u4ea4\u4e92\u4e2d\u4e0d\u4ec5\u6709\u6587\u672c\uff0c\u5176\u4ed6\u8bf8\u5982\u56fe\u7247\u3001\u6df1\u5ea6\u7b49\u6a21\u6001\u4e5f\u540c\u6837\u91cd\u8981\u3002\u7136\u800c\uff0c\u76ee\u524d\u7684\u591a\u6a21\u6001\u5927\u8bed\u8a00\u6a21\u578b\uff08MLLM\uff09\u7814\u7a76\u5927\u591a\u6570\u95ed\u6e90\uff0c\u5bf9\u9ad8\u6821\u548c\u5927\u591a\u6570\u7814\u7a76\u673a\u6784\u7684\u540c\u5b66\u4eec\u5e76\u4e0d\u53cb\u597d\u3002\u800c\u4e14\uff0c\u5927\u8bed\u8a00\u6a21\u578b\u53d7\u9650\u4e8e\u8bad\u7ec3\u77e5\u8bc6\uff0c\u5f80\u5f80\u7f3a\u4e4f\u65f6\u4e8b\u8ba4\u77e5\u3001\u590d\u6742\u63a8\u7406\u80fd\u529b\uff0c\u8fd9\u5c31\u5982\u540c\u53ea\u80fd\u5feb\u901f\u95ee\u7b54\uff0c\u6ca1\u6709\u201c\u6df1\u5ea6\u601d\u8003\u201d\u80fd\u529b\u3002AI Agent\uff08\u4eba\u5de5\u667a\u80fd\u4ee3\u7406\uff09\u5219\u662f\u89e3\u51b3\u8fd9\u4e00\u95ee\u9898\u7684\u5173\u952e\uff0c\u5b83\u8d4b\u4e88LLM\u6df1\u5ea6\u601d\u8003\u3001\u590d\u6742\u51b3\u7b56\u7684\u80fd\u529b\uff0c\u4f7fLLM\u5411\u81ea\u4e3b\u6027\u3001\u53cd\u5e94\u6027\u3001\u79ef\u6781\u6027\u548c\u793e\u4ea4\u80fd\u529b\u7279\u5f81\u7684\u667a\u80fd\u5b9e\u4f53\u53d1\u5c55\u3002\u6211\u4eec\u76f8\u4fe1\uff0cAI Agent\u9886\u57df\u5c06\u4f1a\u8bde\u751f\u66f4\u591a\u6539\u53d8\u751f\u6d3b\u5de5\u4f5c\u65b9\u5f0f\u7684\u6210\u679c\uff0c\u662f\u5927\u8bed\u8a00\u6a21\u578b\u53ca\u591a\u6a21\u6001\u5927\u6a21\u578b\u7684\u91cd\u8981\u8fdb\u5316\u65b9\u5411\u3002<\/p>\n

\u6765\u81ea\u5317\u822a\u3001\u590d\u65e6\u5927\u5b66\u3001\u6089\u5c3c\u5927\u5b66\u3001\u9999\u6e2f\u4e2d\u6587\u5927\u5b66\uff08\u6df1\u5733\uff09\u7b49\u9ad8\u6821\u4e0e\u4e0a\u6d77\u4eba\u5de5\u667a\u80fd\u5b9e\u9a8c\u5ba4\u7684\u5b66\u8005\u5171\u540c\u63a8\u51fa\u591a\u6a21\u6001\u8bed\u8a00\u6a21\u578b\u6700\u65e9\u7684\u5f00\u6e90\u793e\u533a\u4e4b\u4e00 \u2014\u2014LAMM\uff08Language-Assisted Multi-modal Model\uff09\u3002\u6211\u4eec\u65e8\u5728\u5c06 LAMM \u5efa\u8bbe\u6210\u4e00\u4e2a\u4e0d\u65ad\u53d1\u5c55\u7684\u793e\u533a\u751f\u6001\uff0c\u652f\u6301 MLLM \u8bad\u7ec3\u548c\u8bc4\u6d4b\u3001MLLM \u9a71\u52a8\u7684 Agent \u7b49\u65b9\u5411\u7684\u7814\u7a76\u3002\u4f5c\u4e3a\u591a\u6a21\u6001\u5927\u8bed\u8a00\u6a21\u578b\u9886\u57df\u6700\u65e9\u7684\u5f00\u6e90\u9879\u76ee\u4e4b\u4e00\uff0cLAMM \u7684\u76ee\u6807\u662f\u5efa\u7acb\u4e00\u4e2a\u5f00\u653e\u7684\u7814\u7a76\u793e\u533a\u751f\u6001\uff0c\u8ba9\u6bcf\u4e2a\u7814\u7a76\u548c\u5f00\u53d1\u4eba\u5458\u90fd\u53ef\u4ee5\u57fa\u4e8e\u6b64\u5f00\u5c55\u7814\u7a76\uff0c\u5171\u540c\u5efa\u8bbe\u5f00\u6e90\u793e\u533a\u3002<\/p>\n

\"\u56fe\u7247\"<\/p>\n

    \n
  • \u9879\u76ee\u4e3b\u9875\uff1ahttps:\/\/openlamm.github.io<\/li>\n
  • \u4ee3\u7801\u5730\u5740\uff1ahttps:\/\/www.github.com\/OpenGVLab\/LAMM<\/li>\n<\/ul>\n

    \u5728\u8fd9\u91cc\uff0c\u4f60\u53ef\u4ee5 \uff1a<\/p>\n

      \n
    • \u4ee5\u6700\u5c0f\u7684\u8ba1\u7b97\u8d44\u6e90\u6210\u672c\u8bad\u7ec3\u548c\u8bc4\u4f30 MLLM\uff0c\u4ec5\u9700 3090 \u6216 V100\uff0c\u8f7b\u677e\u5f00\u59cb MLLM \u7684\u8bad\u7ec3\u548c\u8bc4\u6d4b\u3002<\/li>\n
    • \u6784\u5efa\u57fa\u4e8e MLLM \u7684\u5177\u8eab\u667a\u80fd Agent\uff0c\u80fd\u591f\u4f7f\u7528\u673a\u5668\u4eba\u6216\u6e38\u620f\u6a21\u62df\u5668\u5b9a\u4e49\u4efb\u52a1\u5e76\u751f\u6210\u6570\u636e\u3002<\/li>\n
    • \u5728\u51e0\u4e4e\u4efb\u4f55\u4e13\u4e1a\u9886\u57df\u6269\u5c55 MLLM \u5e94\u7528\u3002<\/li>\n<\/ul>\n

      \u5f00\u6e90\u6846\u67b6<\/h4>\n

      LAMM \u4ee3\u7801\u5e93\u5b9e\u73b0\u4e86\u7edf\u4e00\u7684\u6570\u636e\u96c6\u683c\u5f0f\u3001\u7ec4\u4ef6\u5f0f\u6a21\u578b\u8bbe\u8ba1\u3001\u4e00\u952e\u5f0f\u5206\u5e03\u5f0f\u8bad\u7ec3\uff0c\u65b9\u4fbf\u7528\u6237\u542f\u52a8\u548c\u5b9e\u73b0\u81ea\u5df1\u4e13\u5c5e\u7684\u591a\u6a21\u6001\u8bed\u8a00\u6a21\u578b\u3002<\/p>\n

      \"\u56fe\u7247\"<\/p>\n

        \n
      • \u4f7f\u7528\u6807\u51c6\u6570\u636e\u96c6\u683c\u5f0f\u517c\u5bb9\u4e0d\u540c\u6307\u4ee4\u5fae\u8c03\u6570\u636e\u96c6\u3002<\/strong>LAMM \u5b9a\u4e49\u4e86\u6807\u51c6\u5316\u591a\u6a21\u6001\u6307\u4ee4\u5fae\u8c03\u6570\u636e\u683c\u5f0f\uff0c\u53ef\u4ee5\u591a\u6a21\u6001\u6307\u4ee4\u5fae\u8c03\u5e38\u7528\u7684 LLaVA\u3001LAMM\u3001ShareGPT4V \u7b49\u6570\u636e\u96c6\u53ef\u4ee5\u76f4\u63a5\u65e0\u7f1d\u9002\u914d\uff0c\u4e00\u952e\u542f\u52a8\u3002<\/li>\n
      • \u7ec4\u4ef6\u5f0f\u642d\u5efa\u6a21\u578b\u6d41\u7a0b\uff0c\u65b9\u4fbf\u5730\u66f4\u65b0\u548c\u4fee\u6539\u6a21\u578b\u67b6\u6784\u3002<\/strong>LAMM \u4e2d\u6a21\u578b\u4ee5\u89c6\u89c9\u7f16\u7801\u5668\uff08Vision Encoder\uff09\u3001\u7279\u5f81\u6620\u5c04\u5668\uff08Feature Projector\uff09\u3001\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u4e3a\u4e3b\u8981\u7ec4\u4ef6\u3002\u76ee\u524d LAMM \u5df2\u7ecf\u652f\u6301 Image\u3001Point Cloud \u7b49\u6a21\u6001\u7f16\u7801\u5668\u548c LLaMA\/LLaMA2 \u7b49\u9884\u8bad\u7ec3\u8bed\u8a00\u6a21\u578b\uff0c\u7528\u6237\u53ef\u4ee5\u81ea\u7531\u9009\u62e9\u9002\u5408\u9700\u6c42\u7684\u6a21\u5757\u642d\u5efa pipeline\uff0c\u5b9e\u73b0\u81ea\u5df1\u4e13\u5c5e\u7684 MLLM\u3002<\/li>\n
      • \u4ee5\u6700\u5c0f\u8ba1\u7b97\u8d44\u6e90\u8bad\u7ec3\u548c\u8bc4\u6d4b MLLM\u3002<\/strong>LAMM Repo \u96c6\u6210\u4e86 Deepspeed\u3001LightLLM\u3001flash attention \u7b49\u52a0\u901f\u6846\u67b6\uff0c\u5c06\u8bad\u7ec3\u6210\u672c\u5927\u5e45\u4f18\u5316\u3002\u76ee\u524d\u5df2\u7ecf\u652f\u6301\u5728 4 \u5f20 RTX3090 \u6216\u66f4\u65b0\u8bbe\u5907\u4e0a\u5fae\u8c03 7B \u7684\u8bed\u8a00\u6a21\u578b\u3002\u540c\u65f6 LAMM \u4e5f\u5728\u4e0d\u65ad\u8ddf\u8fdb\u65b0\u7684\u5927\u8bed\u8a00\u6a21\u578b\u548c\u4f18\u5316\u6846\u67b6\uff0c\u4ee5\u63a8\u52a8\u591a\u6a21\u6001\u9886\u57df\u7684\u53d1\u5c55\u3002<\/li>\n
      • \u57fa\u4e8e MLLM \u6784\u5efa\u5177\u8eab\u667a\u80fd AI Agent\u3002<\/strong>\u4f7f\u7528\u673a\u5668\u4eba\u6216\u6a21\u62df\u5668\u5b9a\u4e49\u76ee\u6807\u4efb\u52a1\u5e76\u751f\u6210\u76f8\u5e94\u6307\u4ee4\u6570\u636e\u540e\uff0cLAMM \u652f\u6301\u7684 MLLM \u53ef\u4ee5\u4f5c\u4e3a\u5f3a\u5927\u7684 AI Agent \u8fdb\u884c\u51b3\u7b56\u548c\u5206\u6790\u3002<\/li>\n<\/ul>\n

        \u66f4\u591a\u8be6\u60c5\u8bf7\u53c2\u8003\u9879\u76ee\u4e3b\u9875\u3002<\/p>\n

        \u591a\u6a21\u6001\u5927\u8bed\u8a00\u6a21\u578b\u8bad\u7ec3\u4e0e\u8bc4\u6d4b<\/h4>\n

        \u8fd1\u671f\u5927\u91cf\u5de5\u4f5c\u5c55\u73b0\u4e86\u591a\u6a21\u6001\u5927\u6a21\u578b (MLLM) \u5728\u89c6\u89c9\u5185\u5bb9\u7406\u89e3\u548c\u4ea4\u4e92\u4e0a\u7684\u80fd\u529b\uff0c\u5e76\u4e14\u4f53\u73b0\u51fa\u4e86\u89e3\u51b3\u66f4\u4e3a\u590d\u6742\u7684\u4e0b\u6e38\u4efb\u52a1\u5e94\u7528\u7684\u80fd\u529b\u3002\u9664\u4e86\u5e38\u89c1\u7684\u56fe\u7247\u8f93\u5165\uff0cLAMM \u76ee\u524d\u8fd8\u652f\u6301\u70b9\u4e91\u7b49\u89c6\u89c9\u6a21\u6001\u8f93\u5165\uff0c\u7528\u6237\u4e5f\u53ef\u4ee5\u6839\u636e\u81ea\u5df1\u7684\u9700\u6c42\u52a0\u5165\u65b0\u7684\u7f16\u7801\u5668\u3002\u540c\u65f6\uff0cLAMM \u652f\u6301 PEFT \u5305\u8fdb\u884c\u9ad8\u6548\u5fae\u8c03\uff0c\u4e5f\u5f15\u5165\u4e86 flash attention\u3001xformer \u7b49\u5de5\u5177\u8fdb\u4e00\u6b65\u4f18\u5316\u6a21\u578b\u8ba1\u7b97\u6210\u672c\uff0c\u4f7f\u5f97\u7528\u6237\u80fd\u591f\u7528\u5c3d\u53ef\u80fd\u4f4e\u7684\u6210\u672c\u8bad\u7ec3 MLLM\u3002\u9762\u5bf9\u590d\u6742\u7684\u591a\u4efb\u52a1\u5b66\u4e60\uff0cLAMM \u4e5f\u652f\u6301 MoE \u7b49\u7b56\u7565\u7edf\u4e00\u591a\u7ec4\u5fae\u8c03\u53c2\u6570\uff0c\u8fdb\u4e00\u6b65\u63d0\u9ad8\u6a21\u578b\u591a\u4efb\u52a1\u80fd\u529b\uff0c\u5b9e\u73b0\u66f4\u5168\u80fd\u7684 MLLM\u3002<\/p>\n

        \u7136\u800c\uff0c\u7531\u4e8e\u7f3a\u4e4f\u4e00\u4e2a\u6807\u51c6\u5316\u7684\u5168\u9762\u8bc4\u4f30\u6846\u67b6\uff0c\u8fd9\u4e9b\u6a21\u578b\u7684\u80fd\u529b\u548c\u5c40\u9650\u6027\u5c1a\u672a\u88ab\u5168\u9762\u63a2\u7d22\uff0c\u6211\u4eec\u4ecd\u7136\u65e0\u6cd5\u786e\u8ba4\u8fd9\u4e9b\u6a21\u578b\u7684\u80fd\u529b\u7a76\u7adf\u5982\u4f55\uff0c\u4ed6\u4eec\u7a76\u7adf\u80fd\u505a\u4ec0\u4e48\u4e8b\u60c5\u3002\u73b0\u6709\u7684\u57fa\u51c6\u6d4b\u8bd5\u5de5\u4f5c\u4e3b\u8981\u96c6\u4e2d\u4e8e\u4e3a\u591a\u6a21\u6001\u5927\u6a21\u578b\u6784\u5efa\u591a\u6a21\u6001\u8bc4\u4f30\u6570\u636e\u96c6\uff0c\u6216\u4ec5\u8bc4\u4f30\u4e86\u4e00\u90e8\u5206\u7684\u89c6\u89c9\u80fd\u529b\u7ef4\u5ea6\uff0c\u6216\u5c1d\u8bd5\u5efa\u7acb\u4e86\u4e00\u4e2a\u8bc4\u6d4b\u6846\u67b6\u4f46\u7f3a\u4e4f\u53ef\u6269\u5c55\u6027\u548c\u5168\u9762\u6027\uff0c\u5bf9\u5404\u4e2a\u6a21\u578b\u7684\u5168\u9762\u8bc4\u4f30\u548c\u4e0d\u540c\u6a21\u578b\u95f4\u8fdb\u884c\u516c\u5e73\u53ef\u9760\u7684\u5bf9\u6bd4\u4ecd\u7136\u5177\u6709\u6311\u6218\u6027\u3002LAMM \u5b9e\u73b0\u4e86\u4e00\u79cd\u5177\u6709\u9ad8\u5ea6\u53ef\u6269\u5c55\u6027\u548c\u7075\u6d3b\u6027\u7684\u8bc4\u6d4b\u6846\u67b6\uff0c\u65e8\u5728\u4e3a\u591a\u6a21\u6001\u5927\u6a21\u578b\u63d0\u4f9b\u4e00\u79cd\u53ef\u9760\u7684\u3001\u5168\u9762\u7684\u8bc4\u4f30\u3002<\/p>\n

        \u8be6\u60c5\u53ef\u53c2\u8003 https:\/\/openlamm.github.io\/paper_list\/ChEF<\/p>\n

        \"\u56fe\u7247\"\u4e00\u952e\u5f0f\u7ec4\u5408\u5f0f\u591a\u6a21\u6001\u8bed\u8a00\u6a21\u578b\u8bc4\u6d4b\u6846\u67b6<\/p>\n

        \u57fa\u4e8e LAMM \u6846\u67b6\u7684\u591a\u6a21\u6001\u6a21\u578b\u80fd\u529b\u90e8\u5206\u5c55\u793a\u5982\u4e0b\uff1a<\/p>\n

        \u57fa\u4e8e 2D \u56fe\u50cf\u5185\u5bb9\u7684\u95ee\u7b54\uff1a<\/p>\n

        \"\u56fe\u7247\"<\/p>\n

        \"\u56fe\u7247\"<\/p>\n

        \u57fa\u4e8e 3D \u70b9\u4e91\u7684\u89c6\u89c9\u95ee\u7b54\uff1a<\/p>\n

        <\/p>\n

        \u591a\u6a21\u6001\u5927\u8bed\u8a00\u6a21\u578b\u9a71\u52a8\u7684\u5177\u8eab Agent<\/h4>\n

        \u8fd1\u671f\u5927\u91cf\u5de5\u4f5c\u501f\u52a9\u5927\u8bed\u8a00\u6a21\u578b (LLM) \u7684\u5f3a\u5927\u63a8\u7406\u89c4\u5212\u80fd\u529b\u6765\u6784\u5efa Agent\uff0c\u4f8b\u5982 Minecraft \u4e2d\u7684 Voyager \u548c GITM \u90fd\u501f\u52a9 LLM \u548c\u6587\u672c\u8bb0\u5fc6\u6765\u89c4\u5212\u667a\u80fd\u4f53\u7684\u884c\u52a8\uff0c\u4f46\u662f\u8fd9\u4e9b\u5de5\u4f5c\u90fd\u5047\u5b9a\u667a\u80fd\u4f53\u53ef\u4ee5\u5728\u89c4\u5212\u51b3\u7b56\u7684\u65f6\u5019\u83b7\u53d6\u6240\u6709\u6b63\u786e\u7684\u73af\u5883\u611f\u77e5\u4fe1\u606f\uff0c\u76f4\u63a5\u8df3\u8fc7\u611f\u77e5\u9636\u6bb5\uff0c\u5ffd\u89c6\u4e86\u5b9e\u65f6\u7684\u7b2c\u4e00\u4eba\u79f0\u89c6\u89d2\u56fe\u7247\u5bf9\u5177\u8eab\u667a\u80fd\u4f53\u89c4\u5212\u81ea\u8eab\u884c\u52a8\u7684\u5f71\u54cd\uff0c\u8fd9\u5728\u73b0\u5b9e\u751f\u6d3b\u4e2d\u4e5f\u662f\u4e0d\u53ef\u80fd\u5b58\u5728\u7684\u3002<\/p>\n

        \u4e3a\u4e86\u8ba9\u5177\u8eab\u667a\u80fd\u4f53\u5728\u5f00\u653e\u4e16\u754c\u590d\u6742\u73af\u5883\u4e2d\u66f4\u597d\u5730\u611f\u77e5\u73af\u5883\uff0c\u6211\u4eec\u63d0\u51fa\u4e86\u4ee5MLLM\u9a71\u52a8\u7684\u5177\u8eab\u667a\u80fd\u4f53MP5\uff0c\u5176\u7279\u70b9\u5728\u4e8e\u5177\u5907\u89c6\u89c9\u611f\u77e5\u548c\u4e3b\u52a8\u611f\u77e5\u80fd\u529b\u3002\u89c6\u89c9\u611f\u77e5\u6a21\u5757(\u6a21\u578b\u4e3b\u8981\u67b6\u6784\u4e3aLAMM)\u5141\u8bb8MP5\u89e3\u51b3\u4ee5\u524d\u4ece\u672a\u89c1\u8fc7\u7684\u4efb\u52a1\uff0c\u4e3b\u52a8\u611f\u77e5\u53ef\u4ee5\u4e3b\u52a8\u83b7\u53d6\u73af\u5883\u4fe1\u606f\uff0c\u4ee5\u6267\u884c\u5408\u9002\u52a8\u4f5c\u3002\u6700\u7ec8 MP5 \u5177\u6709\u5f00\u653e\u611f\u77e5\u80fd\u529b\uff0c\u5e76\u80fd\u6839\u636e\u4e0d\u540c\u7684\u76ee\u7684\u63d0\u4f9b\u91cf\u8eab\u5b9a\u5236\u7684\u611f\u77e5\u7ed3\u679c\uff0c\u53ef\u4ee5\u5b8c\u6210\u957f\u65f6\u5e8f\u53ca\u590d\u6742\u73af\u5883\u4fe1\u606f\u4efb\u52a1\u3002<\/p>\n

        \u4e0b\u9762\u662f MP5 \u5728 Minecraft \u8fd9\u4e00\u5f00\u653e\u4e16\u754c\u4e2d\u5b8c\u6210\u300c\u5728\u6674\u5929\u4e14\u5149\u7ebf\u5145\u8db3\u7684\u60c5\u51b5\u4e0b\uff0c\u627e\u5230\u4e00\u5934\u5728\u5e73\u539f\u4e14\u9760\u8fd1\u6c34\u9644\u8fd1\u6709\u8349\u7684\u732a\u300d\u8fd9\u4e00\u9700\u8981\u590d\u6742\u73af\u5883\u4fe1\u606f\u7684\u4efb\u52a1\u7684\u6f14\u793a\u8fc7\u7a0b\u3002<\/p>\n

        \u603b\u7ed3<\/h4>\n

        \u57fa\u4e8e MLLM \u7684\u5f3a\u5927\u80fd\u529b\u548c\u5e7f\u9614\u5e94\u7528\u524d\u666f\uff0c\u591a\u6a21\u6001\u5b66\u4e60\u6765\u5230\u4e86\u4e00\u4e2a\u5168\u65b0\u7684\u9636\u6bb5\u3002LAMM \u65e8\u5728\u5efa\u8bbe\u4e00\u4e2a\u52a9\u529b\u591a\u6a21\u6001\u5927\u6a21\u578b\u7814\u7a76\u7684\u5f00\u6e90\u793e\u533a\uff0c\u5e76\u5411\u793e\u533a\u5f00\u6e90\u4e86\u5305\u62ec\u6570\u636e\u51c6\u5907\u3001\u6a21\u578b\u8bad\u7ec3\u3001\u6027\u80fd\u8bc4\u6d4b\u6240\u6709\u76f8\u5173\u6570\u636e\u3002<\/p>\n

        \u4f5c\u4e3a\u6700\u65e9\u4e00\u6279\u6295\u5165\u591a\u6a21\u6001\u8bed\u8a00\u6a21\u578b\u7814\u7a76\u7684\u56e2\u961f\uff0c\u6211\u4eec\u5e0c\u671b\u4e0d\u65ad\u53d1\u5c55 LAMM \u5de5\u5177\u7bb1\uff0c\u4e3a LAMM \u5f00\u6e90\u751f\u6001\u63d0\u4f9b\u8f7b\u91cf\u6613\u7528\u7684\u591a\u6a21\u6001\u7814\u7a76\u6846\u67b6\uff0c\u548c\u5f00\u6e90\u529b\u91cf\u5408\u4f5c\uff0c\u52a9\u529b\u66f4\u591a\u6709\u610f\u4e49\u7684\u7814\u7a76\u3002<\/p>\n

        \u4ee5\u4e0a\u5185\u5bb9\u5747\u4f1a\u5728 LAMM \u4e3b\u9875\u6301\u7eed\u5f00\u6e90\uff0c\u8bf7\u5927\u5bb6\u5173\u6ce8\u6211\u4eec\u7684\u4e3b\u9875\u548c\u9879\u76ee\uff0c\u4e5f\u6b22\u8fce\u4e3a LAMM \u4ee3\u7801\u5e93\u591a\u591a\u63d0\u4ea4\u53cd\u9988\u548c PR\u3002<\/p>\n<\/div>\n<\/div>\n

        <\/div>\n

        <\/g><\/svg><\/i> \"Loading\"<\/p>\n

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

        LAMM (Language-Assisted Multi-Modal) \u65e8\u5728\u5efa\u8bbe\u9762\u5411\u5f00\u6e90\u5b66\u672f\u793e\u533a\u7684\u591a\u6a21\u6001\u6307\u4ee4 […]<\/p>\n

        <\/div>\n

        <\/g><\/svg><\/i> \"Loading\"<\/p>\n

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