{"id":1634,"date":"2026-02-06T00:00:41","date_gmt":"2026-02-05T16:00:41","guid":{"rendered":"https:\/\/cleardatascience.com\/?p=1634"},"modified":"2026-02-06T10:08:16","modified_gmt":"2026-02-06T02:08:16","slug":"small-language-models-and-edge-inference-efficient-custom-ai-for-resource-constrained-environments-2","status":"publish","type":"post","link":"https:\/\/cleardatascience.com\/zh-hant\/small-language-models-and-edge-inference-efficient-custom-ai-for-resource-constrained-environments-2\/","title":{"rendered":"\u5c0f\u578b\u8a9e\u8a00\u6a21\u578b\u8207\u908a\u7de3\u63a8\u7406\uff1a\u8cc7\u6e90\u53d7\u9650\u74b0\u5883\u7684\u9ad8\u6548\u5b9a\u5236\u4eba\u5de5\u667a\u6167"},"content":{"rendered":"

\"\"<\/p>\n

CES 2026 \u7684\u5875\u57c3\u5df2\u7d93\u843d\u5b9a\uff0c\u5c55\u6703\u73fe\u5834\u50b3\u905e\u7684\u4fe1\u606f\u5f88\u6e05\u695a\uff1a\u667a\u80fd\u6b63\u9010\u6f38\u8d70\u5411\u908a\u7de3\u3002\u9664\u4e86\u65b0\u578b\u81ea\u4e3b AI \u7684\u71b1\u6f6e\u5916\uff0c\u6700\u6df1\u9060\u7684\u8da8\u52e2\u662f\u65b0\u4e00\u4ee3\u5c08\u7528\u534a\u5c0e\u9ad4\u7684\u4eae\u76f8\u2014\u2014\u5c08\u7528 AI \u52a0\u901f\u5668\u3001\u66f4\u5f37\u5927\u7684\u7247\u4e0a\u7cfb\u7d71\uff08SoC\uff09\u8a2d\u8a08\uff0c\u4ee5\u53ca\u6a21\u7d44\u5316\u786c\u9ad4\u5957\u4ef6\u2014\u2014\u9019\u4e9b\u786c\u9ad4\u90fd\u662f\u70ba\u4e86\u76f4\u63a5\u5728\u8a2d\u5099\u3001\u9598\u9053\u5668\u548c\u672c\u5730\u4f3a\u670d\u5668\u4e0a\u904b\u884c\u8907\u96dc\u6a21\u578b\u800c\u8a2d\u8a08\u7684\u3002\u9019\u5834\u786c\u9ad4\u9769\u547d\u8207\u4e00\u500b\u5f37\u5927\u8edf\u9ad4\u5c0d\u61c9\u7522\u7269\u7684\u5d1b\u8d77\u6070\u9022\u5176\u6642\uff1a\u5c0f\u578b\u8a9e\u8a00\u6a21\u578b\uff08<\/strong>SLMs<\/strong>\uff09<\/strong>\u3002\u5169\u8005\u5171\u540c\u62c6\u89e3\u4e86\u5728\u8cc7\u6e90\u6709\u9650\u7684\u74b0\u5883\u4e2d\u90e8\u7f72\u9ad8\u6548\u3001\u5b9a\u5236\u4e14\u79c1\u5bc6\u7684 AI \u7684\u6700\u5f8c\u969c\u7919\uff0c\u6db5\u84cb\u5f9e\u5de5\u5ee0\u8eca\u9593\u3001\u96f6\u552e\u5e97\u5230\u8eca\u8f1b\u53ca\u504f\u9060\u73fe\u5834\u4f5c\u696d\u7b49\u5834\u666f\u3002<\/p>\n

\u5c0d\u65bc\u90a3\u4e9b\u5c0b\u6c42\u8d85\u8d8a\u4e00\u5200\u5207\u96f2\u7aef API \u7684\u5275\u65b0\u8005\u4f86\u8aaa\uff0c\u9019\u7a2e\u878d\u5408\u6a19\u8a8c\u8457\u4e00\u500b\u95dc\u9375\u7684\u8f49\u6298\u9ede\u3002\u76ee\u6a19\u4e0d\u518d\u662f\u4f7f\u7528\u6700\u5927\u7684\u6a21\u578b\uff0c\u800c\u662f\u90e8\u7f72\u6700\u5408\u9069\u7684\u6a21\u578b\u2014\u2014\u4e00\u500b\u91dd\u5c0d\u7279\u5b9a\u4efb\u52d9\u9032\u884c\u5fae\u8abf\u3001\u80fd\u5728\u7d93\u6fdf\u5be6\u60e0\u7684\u786c\u9ad4\u4e0a\u9ad8\u6548\u904b\u884c\u3001\u4e26\u5c07\u654f\u611f\u6578\u64da\u56b4\u683c\u4fdd\u7559\u5728\u672c\u5730\u7684\u6a21\u578b\u3002\u9019\u5c31\u662f SLM + Edge<\/strong> \u5806\u758a\u7684\u627f\u8afe\uff1a\u81ea\u4e3b\u3001\u53ef\u6301\u7e8c\u4e14\u53ef\u64f4\u5c55\u7684\u667a\u6167\u3002<\/p>\n

\u70ba\u4ec0\u9ebc\u5c0f\u578b\u8a9e\u8a00\u6a21\u578b\u662f\u908a\u7de3\u4eba\u5de5\u667a\u6167\u7684\u5f15\u64ce<\/strong><\/h2>\n

\u5927\u578b\u8a9e\u8a00\u6a21\u578b\uff08LLMs\uff09\u662f\u901a\u7528\u7684\u63a8\u7406\u5f15\u64ce\uff0c\u4f46\u5b83\u5011\u9f90\u5927\u7684\u898f\u6a21\uff08\u901a\u5e38\u6709\u6578\u5343\u5104\u500b\u53c3\u6578\uff09\u4f7f\u5176\u4e0d\u9069\u5408\u5728\u908a\u7de3\u8a2d\u5099\u4e0a\u90e8\u7f72\u3002\u76f8\u6bd4\u4e4b\u4e0b\uff0cSLMs \u901a\u5e38\u64c1\u6709 10 \u5104\u5230 100 \u5104\u500b\u53c3\u6578\uff0c\u63d0\u4f9b\u4e86\u4e00\u500b\u5177\u6709\u5438\u5f15\u529b\u7684\u66ff\u4ee3\u65b9\u6848\u3002<\/p>\n

 <\/p>\n

    \n
  • \u6548\u7387\u662f\u4ed6\u5011\u7684\u6838\u5fc3\u8a2d\u8a08\uff1a<\/strong>SLM \u7684\u67b6\u69cb\u4ee5\u7cbe\u7c21\u6548\u80fd\u70ba\u76ee\u6a19\u3002\u5b83\u5011\u900f\u904e\u5c08\u6ce8\u65bc\u9ad8\u54c1\u8cea\u3001\u7cbe\u5fc3\u6311\u9078\u7684\u8a13\u7df4\u6578\u64da\u4ee5\u53ca\u5275\u65b0\u7684\u6a21\u578b\u67b6\u69cb\uff08\u5982\u5c08\u5bb6\u6df7\u5408\u6a21\u578b\uff09\uff0c\u5728\u7279\u5b9a\u4efb\u52d9\u4e0a\u9054\u5230\u5353\u8d8a\u7684\u80fd\u529b\uff0c\u4e14\u50c5\u555f\u7528\u5c0d\u7279\u5b9a\u8f38\u5165\u5fc5\u8981\u7684\u300c\u5b50\u7db2\u8def\u300d\u3002<\/li>\n
  • \u5c08\u696d\u5316\u512a\u52e2\uff1a<\/strong>\u96d6\u7136 LLM \u5c0d\u5404\u65b9\u9762\u90fd\u6709\u4e00\u5b9a\u4e86\u89e3\uff0c\u4f46 SLM \u53ef\u4ee5\u9032\u884c\u7cbe\u7d30\u8abf\u6574\uff0c\u6210\u70ba\u67d0\u4e00\u9818\u57df\u7684\u5c08\u5bb6\u3002\u4e00\u500b\u7d93\u904e\u5927\u91cf\u6280\u8853\u624b\u518a\u548c\u7dad\u4fee\u65e5\u8a8c\u5fae\u8abf\u7684 30 \u5104\u53c3\u6578\u6a21\u578b\uff0c\u5728\u8a3a\u65b7\u5de5\u696d\u8a2d\u5099\u6545\u969c\u65b9\u9762\uff0c\u5c07\u9060\u8d85\u4e00\u500b\u901a\u7528\u7684 2000 \u5104\u53c3\u6578\u6a21\u578b\uff0c\u800c\u4e14\u53ea\u9700\u4f7f\u7528\u4e00\u5c0f\u90e8\u5206\u7684\u904b\u7b97\u548c\u8a18\u61b6\u9ad4\u8cc7\u6e90\u3002<\/li>\n
  • \u958b\u6e90\u7684\u5fc5\u8981\u6027\uff1a<\/strong>SLM \u9769\u547d\u6b63\u7531\u958b\u6e90\u793e\u7fa4\u63a8\u52d5\u3002\u50cf\u5fae\u8edf\u7684<\/strong> Phi-3<\/strong>\u3001\u8c37\u6b4c\u7684 Gemma <\/strong>\u8207 Mistral <\/strong>\u7684 7B<\/strong> \u9019\u985e\u6a21\u578b\u63d0\u4f9b\u900f\u660e\u3001\u6388\u6b0a\u53cb\u597d\u7684\u57fa\u790e\uff0c\u53ef\u9032\u884c\u79c1\u4e0b\u5fae\u8abf\u3001\u5be9\u6838\u548c\u6574\u5408\uff0c\u7121\u9700\u53d7\u5236\u65bc\u5ee0\u5546\u9396\u5b9a\u6216\u4e0d\u900f\u660e\u7684\u8cbb\u7528\u3002\u9019\u8207\u4ee5\u5275\u65b0\u70ba\u9996\u7684\u81ea\u8a02\u89e3\u6c7a\u65b9\u6848\u5efa\u69cb\u7406\u5ff5\u5b8c\u5168\u5951\u5408\u3002<\/li>\n<\/ul>\n

    CES <\/strong>\u5f8c\u7684\u786c\u9ad4\u74b0\u5883\uff1a\u5be6\u73fe\u908a\u7de3\u63a8\u7406\u7684\u53ef\u884c\u6027<\/strong><\/h2>\n

    CES 2026 \u5c55\u793a\u4e86\u5c07 SLM \u7406\u8ad6\u8f49\u5316\u70ba\u65e5\u5e38\u73fe\u5be6\u7684\u786c\u9ad4\u3002\u4fc3\u6210\u9019\u4e00\u9ede\u7684\u4e3b\u8981\u8da8\u52e2\u5305\u62ec\uff1a<\/p>\n

      \n
    1. \u5c08\u7528 AI <\/strong>\u52a0\u901f\u5668<\/strong>\uff1a\u4f86\u81ea\u6210\u719f\u4f01\u696d\u548c\u65b0\u5275\u516c\u53f8\u7684\u65b0\u6676\u7247\u4e0d\u50c5\u50c5\u662f\u666e\u901a\u7684 GPU\u3002\u5b83\u5011\u91dd\u5c0d\u63a8\u8ad6\u505a\u4e86\u512a\u5316\uff0c\u80fd\u5728\u904b\u884c\u5df2\u8a13\u7df4\u6a21\u578b\uff08\u5982 SLM\uff09\u6642\u63d0\u4f9b\u6bcf\u74e6\u9ad8\u6548\u80fd\u3002\u9019\u610f\u5473\u8457\u53ef\u4ee5\u9032\u884c\u5373\u6642\u5206\u6790\uff0c\u800c\u4e0d\u6703\u6709\u71b1\u95a5\u6216\u5de8\u5927\u7684\u529f\u8017\u554f\u984c\u3002<\/li>\n<\/ol>\n

       <\/p>\n

        \n
      1. \u00a0<\/strong>\u908a\u7de3\u904b\u7b97\u5f62\u614b\u7684\u6210\u719f\uff1a<\/strong>\u5f9e\u5167\u5efa GPU \u6a21\u7d44\u7684\u8010\u7528\u5de5\u696d\u9598\u9053\u5668\uff0c\u5230\u70ba\u5206\u516c\u53f8\u9810\u5148\u914d\u7f6e\u7684\u300c\u5373\u88dd\u5373\u7528 AI \u670d\u52d9\u5668\u300d\uff0c\u5e02\u5834\u73fe\u5df2\u63d0\u4f9b\u53ef\u9760\u4e14\u53ef\u652f\u63f4\u7684\u786c\u9ad4\uff0c\u5c08\u70ba\u5728\u96f2\u7aef\u9023\u7dda\u4e0d\u7a69\u6216\u5ef6\u9072\u4e0d\u53ef\u63a5\u53d7\u7684\u56b4\u82db\u3001\u504f\u9060\u74b0\u5883\u8a2d\u8a08\u3002<\/li>\n
      2. \u5148\u9032\u7684\u8a18\u61b6\u9ad4\u8207\u5132\u5b58\uff1a<\/strong>\u4f4e\u529f\u8017\u3001\u9ad8\u983b\u5bec\u8a18\u61b6\u9ad4\uff08LPDDR5\u3001LPDDR6\uff09\u7684\u65b0\u6a19\u6e96\u5141\u8a31\u66f4\u591a\u6a21\u578b\u8cc7\u6599\u4fdd\u6301\u5373\u6642\u53ef\u7528\uff0c\u964d\u4f4e\u63a8\u8ad6\u5ef6\u9072\u2014\u2014\u9019\u5c0d\u65bc\u5373\u6642\u61c9\u7528\u5982\u4e92\u52d5\u52a9\u7406\u6216\u6a5f\u5668\u4eba\u63a7\u5236\u662f\u95dc\u9375\u56e0\u7d20\u3002<\/li>\n<\/ol>\n

        \u67b6\u69cb\u60a8\u7684 SLM <\/strong>\u908a\u7de3\u89e3\u6c7a\u65b9\u6848\uff1a\u6280\u8853\u85cd\u5716<\/strong><\/h2>\n

        \u5728\u908a\u7de3\u90e8\u7f72\u81ea\u8a02 SLM \u6d89\u53ca\u4e00\u500b\u7b56\u7565\u6027\u6d41\u7a0b\u7ba1\u7dda\uff1a<\/p>\n

        \u7b2c\u4e00\u968e\u6bb5\uff1a\u6a21\u578b\u9078\u64c7\u8207\u512a\u5316<\/strong><\/p>\n

          \n
        • \u00a0<\/strong>\u9078\u64c7\u57fa\u790e\u6a21\u578b\uff1a<\/strong>\u9078\u64c7\u4e00\u500b\u958b\u6e90\u7684\u8a9e\u8a00\u6a21\u578b\uff08\u4f8b\u5982 Llama 3 8B\u3001Phi-3 Mini\uff09\uff0c\u4ee5\u5e73\u8861\u4f60\u7684\u4efb\u52d9\u8907\u96dc\u5ea6\u8207\u76ee\u6a19\u786c\u9ad4\u7684\u6548\u80fd\u3002<\/li>\n
        • \u91cf\u5316\uff1a<\/strong>\u9019\u662f\u908a\u7de3\u90e8\u7f72\u4e2d\u4e0d\u53ef\u59a5\u5354\u7684\u4e00\u6b65\u3002\u4f7f\u7528 GGUF<\/strong>\u3001GPTQ <\/strong>\u6216 ONNX Runtime<\/strong> \u7b49\u5de5\u5177\u5c0d\u6a21\u578b\u9032\u884c\u91cf\u5316\uff0c\u5c07\u5176\u6578\u503c\u7cbe\u5ea6\u5f9e 32 \u4f4d\u6216 16 \u4f4d\u6d6e\u9ede\u6578\u964d\u4f4e\u5230 8 \u4f4d\u6216 4 \u4f4d\u6574\u6578\u3002\u9019\u53ef\u4ee5\u5728\u5e7e\u4e4e\u4e0d\u640d\u5931\u6e96\u78ba\u5ea6\u7684\u60c5\u6cc1\u4e0b\u5c07\u6a21\u578b\u5927\u5c0f\u6e1b\u5c11 75% \u6216\u66f4\u591a\uff0c\u4f7f\u5176\u9069\u5408\u6709\u9650\u7684\u8a18\u61b6\u9ad4\u74b0\u5883\u4e2d\u4f7f\u7528\u3002<\/li>\n
        • \u4efb\u52d9\u7279\u5b9a\u5fae\u8abf\uff1a<\/strong>\u4f7f\u7528\u60a8\u7684\u5c08\u6709\u6578\u64da\uff08\u7dad\u8b77\u8a18\u9304\u3001\u7522\u54c1\u76ee\u9304\u3001\u652f\u63f4\u5de5\u55ae\uff09\uff0c\u5c0d\u91cf\u5316\u7684 SLM \u9032\u884c\u5fae\u8abf\uff0c\u4f7f\u5176\u5728\u60a8\u7684\u7279\u5b9a\u4f7f\u7528\u6848\u4f8b\u4e2d\u8868\u73fe\u512a\u7570\uff08\u4f8b\u5982\uff1a\u5167\u90e8\u6587\u4ef6\u7684\u554f\u7b54\u3001\u5ba2\u6236\u53cd\u994b\u7684\u60c5\u611f\u5206\u6790\uff09\u3002<\/li>\n<\/ul>\n

          \u7b2c\u4e8c\u968e\u6bb5\uff1a\u908a\u7de3\u90e8\u7f72\u5806\u758a<\/strong><\/p>\n

            \n
          • \u63a8\u7406\u5f15\u64ce\uff1a<\/strong>\u4f7f\u7528\u9ad8\u6548\u80fd\u63a8\u7406\u4f3a\u670d\u5668\u5982 vLLM<\/strong> \u6216 MLC-LLM<\/strong> \u90e8\u7f72\u6a21\u578b\u3002\u9019\u4e9b\u4f3a\u670d\u5668\u65e8\u5728\u6700\u5927\u5316\u541e\u5410\u91cf\u4e26\u6700\u5c0f\u5316\u908a\u7de3\u786c\u9ad4\u7684\u5ef6\u9072\u3002<\/li>\n
          • \u5bb9\u5668\u5316\uff1a<\/strong>\u5c07\u6a21\u578b\u3001\u63a8\u7406\u5f15\u64ce\u4ee5\u53ca\u4efb\u4f55\u524d\/\u5f8c\u8655\u7406\u4ee3\u78bc\u6253\u5305\u5230 Docker <\/strong>\u5bb9\u5668\u4e2d<\/strong>\u3002\u9019\u53ef\u78ba\u4fdd\u74b0\u5883\u4e00\u81f4\u4e14\u53ef\u91cd\u73fe\uff0c\u4e26\u80fd\u90e8\u7f72\u5230\u6578\u767e\u6216\u6578\u5343\u500b\u908a\u7de3\u7bc0\u9ede\u3002<\/li>\n
          • \u7de8\u6392\u8207\u7ba1\u7406\uff1a<\/strong>\u5c0d\u65bc\u5927\u91cf\u8a2d\u5099\uff0c\u4f7f\u7528\u8f15\u91cf\u7d1a\u7684 Kubernetes<\/strong> \u767c\u884c\u7248\uff08\u5982 K3s\uff09\u6216\u5c08\u7528\u7684\u7269\u806f\u7db2\u5e73\u53f0\uff08\u5982 AWS IoT Greengrass\uff09\u4f86\u7ba1\u7406\u5bb9\u5668\u90e8\u7f72\u3001\u63a8\u51fa\u6a21\u578b\u66f4\u65b0\uff0c\u4e26\u9060\u7a0b\u76e3\u63a7\u5065\u5eb7\u72c0\u614b\u548c\u6027\u80fd\u3002<\/li>\n<\/ul>\n

            \u7b2c\u4e09\u968e\u6bb5\uff1a\u5efa\u7acb\u53cd\u994b\u5faa\u74b0<\/strong><\/p>\n

              \n
            • \u908a\u7de3\u96f2\u5354\u540c\uff1a<\/strong>\u908a\u7de3\u8ca0\u8cac\u5373\u6642\u63a8\u7406\u3002\u9031\u671f\u6027\u5730\uff0c\u61c9\u5c07\u533f\u540d\u5316\u7684\u63a8\u7406\u6578\u64da\u548c\u6027\u80fd\u6307\u6a19\u540c\u6b65\u5230\u4e2d\u592e\u96f2\u6216\u6578\u64da\u4e2d\u5fc3\u3002\u9019\u4e9b\u6578\u64da\u7528\u65bc\u6301\u7e8c\u8a55\u4f30\u6a21\u578b\u6027\u80fd\uff0c\u4e26\u5275\u5efa\u4e0b\u4e00\u8f2a\u5fae\u8abf\u7684\u65b0\u8a13\u7df4\u6578\u64da\u96c6\uff0c\u5f62\u6210\u6301\u7e8c\u6539\u9032\u7684\u5faa\u74b0\u3002<\/li>\n<\/ul>\n

              \u4f7f\u7528\u6848\u4f8b\uff1a\u81ea\u8a02\u908a\u7de3\u4eba\u5de5\u667a\u6167\u5373\u6642\u5e36\u4f86\u50f9\u503c\u7684\u9818\u57df<\/strong><\/h2>\n
                \n
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