{"id":3585,"date":"2025-10-07T22:53:39","date_gmt":"2025-10-07T14:53:39","guid":{"rendered":"https:\/\/moresourcing.com\/cut-through-genai-confusion-eight-definitive-reads\/"},"modified":"2025-10-07T22:53:39","modified_gmt":"2025-10-07T14:53:39","slug":"cut-through-genai-confusion-eight-definitive-reads","status":"publish","type":"post","link":"https:\/\/moresourcing.com\/zh\/cut-through-genai-confusion-eight-definitive-reads\/","title":{"rendered":"\u6d88\u9664 GenAI \u7684\u56f0\u60d1\uff1a\u516b\u7bc7\u6743\u5a01\u8bfb\u7269"},"content":{"rendered":"<p><\/p>\n<div>\n<aside class=\"article-ad ad-300  ad-300x250 ad-desktop\">\n<\/aside>\n<aside class=\"article-ad ad-300  ad-300x250 ad-mobile\">\n<\/aside>\n<figure class=\"article-inline\">\n<img fetchpriority=\"high\" decoding=\"async\" alt=\"\" width=\"1290\" height=\"860\" class=\"alignnone size-full wp-image-123092\" srcset=\"https:\/\/moresourcing.com\/wp-content\/uploads\/2025\/10\/Cut-Through-GenAI-Confusion-Eight-Definitive-Reads.jpg 1290w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/10\/Brokaw-GenAi-1290x860-1-300x200.jpg 300w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/10\/Brokaw-GenAi-1290x860-1-150x100.jpg 150w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/10\/Brokaw-GenAi-1290x860-1-768x512.jpg 768w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/10\/Brokaw-GenAi-1290x860-1-764x509.jpg 764w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/10\/Brokaw-GenAi-1290x860-1-382x255.jpg 382w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/10\/Brokaw-GenAi-1290x860-1-870x580.jpg 870w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/10\/Brokaw-GenAi-1290x860-1-435x290.jpg 435w\" data-lazy-sizes=\"(max-width: 1290px) 100vw, 1290px\" src=\"https:\/\/moresourcing.com\/wp-content\/uploads\/2025\/10\/Cut-Through-GenAI-Confusion-Eight-Definitive-Reads.jpg\"\/><img fetchpriority=\"high\" decoding=\"async\" src=\"https:\/\/moresourcing.com\/wp-content\/uploads\/2025\/10\/Cut-Through-GenAI-Confusion-Eight-Definitive-Reads.jpg\" alt=\"\" width=\"1290\" height=\"860\" class=\"alignnone size-full wp-image-123092\" srcset=\"https:\/\/moresourcing.com\/wp-content\/uploads\/2025\/10\/Cut-Through-GenAI-Confusion-Eight-Definitive-Reads.jpg 1290w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/10\/Brokaw-GenAi-1290x860-1-300x200.jpg 300w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/10\/Brokaw-GenAi-1290x860-1-150x100.jpg 150w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/10\/Brokaw-GenAi-1290x860-1-768x512.jpg 768w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/10\/Brokaw-GenAi-1290x860-1-764x509.jpg 764w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/10\/Brokaw-GenAi-1290x860-1-382x255.jpg 382w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/10\/Brokaw-GenAi-1290x860-1-870x580.jpg 870w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/10\/Brokaw-GenAi-1290x860-1-435x290.jpg 435w\" sizes=\"(max-width: 1290px) 100vw, 1290px\"\/><figcaption>\n<\/figcaption><\/figure>\n<div class=\"article-summary\"><strong class=\"article-summary__strong\">\u6458\u8981 <\/strong><\/p>\n<p>\u751f\u6210\u5f0f\u4eba\u5de5\u667a\u80fd\u5df2\u7ecf\u6210\u4e3a\u8bb8\u591a\u4eba\u5de5\u4f5c\u65e5\u548c\u7ec4\u7ec7\u5de5\u4f5c\u6d41\u7a0b\u7684\u4e00\u90e8\u5206\u3002 <cite>\u9ebb\u7701\u7406\u5de5\u5b66\u9662 SMR<\/cite> \u4e13\u5bb6\u53ef\u4ee5\u5e2e\u52a9\u9886\u5bfc\u8005\u89e3\u51b3\u6709\u5173\u91c7\u7528 GenAI \u589e\u5f3a\u578b\u5de5\u4f5c\u573a\u6240\u7684\u8bb8\u591a\u57fa\u672c\u95ee\u9898\u3002<\/p>\n<\/div>\n<p><span class=\"smr-leadin\">\u968f\u7740\u751f\u6210\u5f0f\u4eba\u5de5\u667a\u80fd\u53d8\u5f97\u66f4\u52a0\u5f3a\u5927<\/span>\uff0c\u5b83\u5bf9\u7ec4\u7ec7\u548c\u6211\u4eec\u6bcf\u4e2a\u4eba\u90fd\u53d8\u5f97\u66f4\u5177\u6f5c\u5728\u4ef7\u503c\u3002 <\/p>\n<p>\u5c3d\u7ba1\u751f\u6210\u5f0f\u4eba\u5de5\u667a\u80fd\u65e0\u5904\u4e0d\u5728\uff0c\u4f46\u5b83\u4ecd\u7136\u5f88\u5e74\u8f7b\u3002 <\/p>\n<p><cite>\u9ebb\u7701\u7406\u5de5\u5b66\u9662\u65af\u9686\u7ba1\u7406\u8bc4\u8bba<\/cite> \u8be5\u4e3b\u9898\u7684\u4f5c\u8005\uff08\u5305\u62ec\u5b66\u8005\u3001\u7814\u7a76\u4eba\u5458\u548c\u4ece\u4e1a\u8005\uff09\u6b63\u5728\u7b2c\u4e00\u7ebf\u62a5\u9053 GenAI \u7684\u6700\u4f73\u95ee\u9898\u4ee5\u53ca\u5982\u4f55\u8003\u8651\u56de\u7b54\u8fd9\u4e9b\u95ee\u9898\u3002 <\/p>\n<p>\u4ee5\u6211\u4eec\u7684\u4e13\u680f\u4f5c\u5bb6\u62c9\u739b\u00b7\u62c9\u9a6c\u514b\u91cc\u4ec0\u5357 (Rama Ramakrishnan) \u4e3a\u4f8b\uff0c\u4ed6\u662f\u9ebb\u7701\u7406\u5de5\u5b66\u9662\u65af\u9686\u7ba1\u7406\u5b66\u9662\u7684\u5b9e\u8df5\u6559\u6388\u3002 <\/p>\n<p>Ramakrishnan \u89e3\u91ca\u9053\uff1a\u201c\u867d\u7136\u4ed4\u7ec6\u7684\u63d0\u793a\u548c RAG\uff08\u68c0\u7d22\u589e\u5f3a\u751f\u6210\uff09\u7b49\u6280\u672f\u53ef\u4ee5\u9f13\u52b1\u4eba\u5de5\u667a\u80fd\u6a21\u578b\u5bf9\u4e00\u7ec4\u63d0\u4f9b\u7684\u6587\u6863\u8fdb\u884c\u4f18\u5148\u6392\u5e8f\uff0c\u4f46\u4e0d\u80fd\u5f3a\u8feb\u6807\u51c6\u6cd5\u5b66\u7855\u58eb\u4ec5\u4f7f\u7528\u8fd9\u4e9b\u5185\u5bb9\u3002\u201d<\/p>\n<p>\u7b80\u5355\u7684\u95ee\u9898\uff1b<\/p>\n<hr class=\"break\"\/>\n<h4><a href=\"https:\/\/sloanreview.mit.edu\/article\/how-llms-work\/\" style=\"border-bottom:none;\">1. \u6cd5\u5b66\u7855\u58eb\u5982\u4f55\u8fd0\u4f5c\uff1a\u9ad8\u7ba1\u5c42\u9762\u5341\u5927\u95ee\u9898<\/a><\/h4>\n<h6>\u62c9\u739b\u00b7\u62c9\u9a6c\u514b\u91cc\u5e0c\u5357<\/h6>\n<p>\u201c\u8fc7\u53bb\u4e24\u5e74\uff0c\u6211\u5728\u9ebb\u7701\u7406\u5de5\u5b66\u9662\u65af\u9686\u7ba1\u7406\u5b66\u9662\u5de5\u4f5c\u671f\u95f4\uff0c\u5411\u8bb8\u591a\u9ad8\u7ba1\u6559\u6388\u4e86\u5927\u578b\u8bed\u8a00\u6a21\u578b (LLM) \u5982\u4f55\u8fd0\u4f5c\u7684\u57fa\u7840\u77e5\u8bc6\u3002<\/p>\n<p>\u201c\u6709\u4e9b\u4eba\u8ba4\u4e3a\uff0c\u4f01\u4e1a\u9886\u5bfc\u8005\u65e2\u4e0d\u60f3\u4e5f\u4e0d\u9700\u8981\u77e5\u9053\u6cd5\u5b66\u7855\u58eb\u53ca\u5176\u652f\u6301\u7684\u751f\u6210\u5f0f\u4eba\u5de5\u667a\u80fd\u5de5\u5177\u5982\u4f55\u5de5\u4f5c\uff0c\u800c\u53ea\u5bf9 <em>\u7ed3\u679c<\/em> \u8fd9\u4e9b\u5de5\u5177\u53ef\u4ee5\u5b9e\u73b0\u3002<\/p>\n<p>\u201c\u5728\u672c\u4e13\u680f\u4e2d\uff0c\u6211\u5206\u4eab\u4e86\u5173\u4e8e\u6211\u7ecf\u5e38\u88ab\u95ee\u5230\u7684 10 \u4e2a\u7ecf\u5e38\u88ab\u8bef\u89e3\u7684\u4e3b\u9898\u7684\u95ee\u9898\uff0c\u4ee5\u53ca\u4ed6\u4eec\u7684\u7b54\u6848\u3002\u2026\u2026<\/p>\n<p>\u201c[\u4f8b\u5982\uff0c]\u6cd5\u5b66\u7855\u58eb\u4ec0\u4e48\u65f6\u5019\u51b3\u5b9a\u5411\u7528\u6237\u63d0\u4f9b\u95ee\u9898\u7684\u6700\u7ec8\u7b54\u6848\uff1f\u505c\u6b62\u751f\u6210\u7684\u51b3\u5b9a\u662f\u7531\u6cd5\u5b66\u7855\u58eb\u7684\u9884\u6d4b\u548c\u8fd0\u884c\u5b83\u7684\u8f6f\u4ef6\u7cfb\u7edf\u8bbe\u7f6e\u7684\u89c4\u5219\u76f8\u7ed3\u5408\u51b3\u5b9a\u7684\u3002\u8fd9\u4e0d\u662f\u6cd5\u5b66\u7855\u58eb\u5355\u72ec\u505a\u51fa\u7684\u9009\u62e9\u3002\u201d <a href=\"https:\/\/sloanreview.mit.edu\/article\/how-llms-work\/\"><strong>\u9605\u8bfb\u5168\u6587 \u00bb<\/strong><\/a><\/p>\n<h4><a href=\"https:\/\/sloanreview.mit.edu\/article\/how-to-scale-genai-in-the-workplace\/\" style=\"border-bottom:none;\">2. \u5982\u4f55\u5728\u5de5\u4f5c\u573a\u6240\u6269\u5c55 GenAI<\/a><\/h4>\n<h6>\u8fc8\u514b\u5c14\u00b7\u97e6\u5fb7\u3001\u5eb7\u65af\u5766\u4e01\u8bfa\u65af\u00b7\u7279\u5170\u6258\u666e\u6d1b\u65af\u3001\u9a6c\u514b\u00b7\u7eb3\u74e6\u65af\u548c\u5b89\u5fb7\u65af\u00b7\u7f57\u9a6c\u96f7<\/h6>\n<p>\u201c\u968f\u7740\u516c\u53f8\u4ece\u5b9e\u9a8c\u8f6c\u5411\u5168\u4f01\u4e1a\u91c7\u7528\uff0c\u8bb8\u591a\u516c\u53f8\u9762\u4e34\u7684\u4e0d\u662f\u5de5\u5177\u672c\u8eab\uff0c\u800c\u662f\u5c06\u5b83\u4eec\u6709\u610f\u4e49\u5730\u878d\u5165\u4eba\u4eec\u65e5\u5e38\u5de5\u4f5c\u6240\u9700\u7684\u7ec4\u7ec7\u8f6c\u578b\u3002\u5de5\u5177\u5c06\u4e0d\u65ad\u53d1\u5c55\uff1a\u51b3\u5b9a GenAI \u8ba1\u5212\u662f\u5426\u771f\u6b63\u6210\u529f\u7684\u662f\u4eba\u6027\u5316\u7684\u4e00\u9762\u3002<\/p>\n<p>\u201c\u6211\u4eec\u7814\u7a76\u4e86\u8fc4\u4eca\u4e3a\u6b62\u6700\u5927\u7684\u73b0\u5b9e\u4e16\u754c\u751f\u6210\u5f0f\u4eba\u5de5\u667a\u80fd\u90e8\u7f72\u4e4b\u4e00\u2014\u2014\u8de8\u56fd\u5236\u836f\u516c\u53f8\u8bfa\u548c\u8bfa\u5fb7\u3002\u5176\u7ecf\u9a8c\u8868\u660e\uff0c\u6210\u529f\u4e0d\u4ec5\u53d6\u51b3\u4e8e\u57fa\u7840\u8bbe\u65bd\uff0c\u8fd8\u53d6\u51b3\u4e8e\u4eba\u4eec\u5982\u4f55\u601d\u8003\u3001\u9002\u5e94\u548c\u4e0e\u4eba\u5de5\u667a\u80fd\u5408\u4f5c\u3002\u4e00\u4e2a\u91cd\u8981\u7684\u6559\u8bad\u662f\uff1a\u867d\u7136 GenAI \u7684\u91c7\u7528\u548c\u66f4\u5e7f\u6cdb\u7684\u6570\u5b57\u5316\u8f6c\u578b\u6709\u5171\u540c\u7684\u6839\u6e90\uff0c\u4f46\u751f\u6210\u5f0f\u4eba\u5de5\u667a\u80fd\u5177\u6709\u72ec\u7279\u7684\u98a0\u8986\u6027\uff0c\u4ee5\u524d\u6240\u672a\u6709\u7684\u65b9\u5f0f\u91cd\u5851\u5de5\u4f5c\u672c\u8eab\u7684\u6027\u8d28\u2026\u2026<\/p>\n<p>\u201c\u4e00\u65e6\u5f00\u59cb\u4f7f\u7528\u8be5\u5de5\u5177\uff0c\u6bcf\u4f4d\u5458\u5de5\u5e73\u5747\u6bcf\u5468\u8282\u7701 2.17 \u4e2a\u5c0f\u65f6\u3002\u4f46\u610f\u60f3\u4e0d\u5230\u7684\u4e8b\u60c5\u4e5f\u53d1\u751f\u4e86\uff1a\u8fd9\u4e9b\u65f6\u95f4\u5e76\u4e0d\u662f\u5458\u5de5\u6700\u770b\u91cd\u7684\u3002\u5458\u5de5\u5bf9 Copilot \u7684\u6ee1\u610f\u5ea6\u4e0e\u611f\u77e5\u5230\u7684\u5de5\u4f5c\u8d28\u91cf\u6539\u8fdb\u7684\u76f8\u5173\u6027\u662f\u8282\u7701\u65f6\u95f4\u7684\u4e09\u500d\u3002\u5458\u5de5\u62a5\u544a\u8bf4\uff0c\u5185\u5bb9\u603b\u7ed3\u3001\u5185\u5bb9\u521b\u5efa\u548c\u6784\u601d\u65b9\u9762\u7684\u8d28\u91cf\u5f97\u5230\u4e86\u63d0\u9ad8\u3002\u6709\u8da3\u7684\u662f\uff0c\u8bb8\u591a\u5458\u5de5\u5c06\u8282\u7701\u4e0b\u6765\u7684\u65f6\u95f4\u91cd\u65b0\u6295\u5165\u5230\u4eba\u9645\u4e92\u52a8\u3001\u6218\u7565\u89c4\u5212\u548c\u521b\u9020\u6027\u5de5\u4f5c\u4e2d\u3002\u201d <a href=\"https:\/\/sloanreview.mit.edu\/article\/how-to-scale-genai-in-the-workplace\/\"><strong>\u9605\u8bfb\u5168\u6587 \u00bb<\/strong><\/a><\/p>\n<h4><a href=\"https:\/\/sloanreview.mit.edu\/article\/generate-value-from-gen-ai-with-small-t-transformations\/\" style=\"border-bottom:none;\">3. \u901a\u8fc7\u201c\u5c0f t\u201d\u8f6c\u6362\u4ece GenAI \u4e2d\u4ea7\u751f\u4ef7\u503c<\/a><\/h4>\n<h6>\u6885\u4e3d\u838e\u00b7\u97e6\u4f2f\u65af\u7279\u548c\u4e54\u6cbb\u00b7\u97e6\u65af\u7279\u66fc<\/h6>\n<p>\u201c\u4f01\u4e1a\u9886\u5bfc\u8005\u6b63\u5728\u5bfb\u627e\u4ece\u5927\u578b\u8bed\u8a00\u6a21\u578b (LLM) \u4e2d\u83b7\u53d6\u771f\u6b63\u4ef7\u503c\u7684\u65b9\u6cd5\uff0c\u800c\u65e0\u9700\u5b8c\u5168\u66ff\u6362\u73b0\u6709\u4e1a\u52a1\u6d41\u7a0b\u3002\u4ed6\u4eec\u6b63\u5728\u8ffd\u6c42\u2018\u5c0f t\u2019\u8f6c\u578b\uff0c\u5373\u4f7f\u4ed6\u4eec\u4e3a\u672a\u6765\u66f4\u5927\u7684\u8f6c\u578b\u5960\u5b9a\u4e86\u57fa\u7840\u3002\u2026\u2026<\/p>\n<p>\u201c\u6211\u4eec\u7684\u9879\u76ee\u56e2\u961f\u91c7\u8bbf\u4e86 21 \u5bb6\u5927\u516c\u53f8\u7684\u5404\u4e2a\u804c\u80fd\u90e8\u95e8\u7684\u9ad8\u7ea7\u7ba1\u7406\u4eba\u5458\uff0c\u5305\u62ec\u4eba\u5de5\u667a\u80fd\u3001\u6570\u636e\u79d1\u5b66\u3001\u521b\u65b0\u3001\u8fd0\u8425\u548c\u9500\u552e\u3002\u6211\u4eec\u91cd\u70b9\u4e86\u89e3\u76f8\u5bf9\u8f83\u65e9\u548c\u5e7f\u6cdb\u91c7\u7528 GenAI \u7684\u7ec4\u7ec7\u6b63\u5728\u505a\u4ec0\u4e48\u4ee5\u53ca\u4e3a\u4ec0\u4e48\u8fd9\u6837\u505a\u3002\u2026\u2026<\/p>\n<p>\u201c\u6211\u4eec\u7684\u7814\u7a76\u8868\u660e\uff0c\u5927\u591a\u6570\u516c\u53f8\u6b63\u5728\u91c7\u7528\u66f4\u6709\u9488\u5bf9\u6027\u7684\u65b9\u6cd5\u6765\u5229\u7528\u751f\u6210\u5f0f\u4eba\u5de5\u667a\u80fd\u8fdb\u884c\u8f6c\u578b\u3002\u867d\u7136 GenAI \u53ef\u4ee5\u63d0\u9ad8\u8bb8\u591a\u4efb\u52a1\u7684\u901f\u5ea6\u548c\u8d28\u91cf\uff0c\u4f46\u5b83\u4e5f\u5e26\u6765\u4e86\u51c6\u786e\u6027\u3001\u5b89\u5168\u6027\u548c\u77e5\u8bc6\u4ea7\u6743\u7ba1\u7406\u65b9\u9762\u7684\u5404\u79cd\u98ce\u9669\u3002\u6211\u4eec\u91c7\u8bbf\u7684\u9886\u5bfc\u8005\u5728\u505a\u51fa\u51b3\u7b56\u65f6\u503e\u5411\u4e8e\u5e94\u7528\u98ce\u9669\u659c\u7387\u7684\u903b\u8f91\uff0c\u5c06\u9762\u5411\u5ba2\u6237\u7684\u6d41\u7a0b\u6bd4\u5185\u90e8\u6d41\u7a0b\u627f\u62c5\u66f4\u9ad8\u7684\u98ce\u9669\u3002\u201d <a href=\"https:\/\/sloanreview.mit.edu\/article\/generate-value-from-gen-ai-with-small-t-transformations\/\"><strong>\u9605\u8bfb\u5168\u6587 \u00bb<\/strong><\/a><\/p>\n<aside class=\"article-ad ad-300  ad-300x600 ad-desktop\">\n<\/aside>\n<aside class=\"article-ad ad-300  ad-300x250 ad-mobile\">\n<\/aside>\n<h4><a href=\"https:\/\/sloanreview.mit.edu\/article\/the-genai-focus-shifts-to-innovation-at-colgate-palmolive\/\" style=\"border-bottom:none;\">4. \u9ad8\u9732\u6d01\u68d5\u6984\u7684 GenAI \u91cd\u70b9\u8f6c\u5411\u521b\u65b0<\/a><\/h4>\n<h6>\u6258\u9a6c\u65af\u00b7H\u00b7\u8fbe\u6587\u6ce2\u7279\u548c\u5170\u8fea\u00b7\u6bd4\u6069<\/h6>\n<p>\u201c\u9ad8\u9732\u6d01\u68d5\u6984\u56e2\u961f\u4f7f\u7528\u7684\u5927\u578b\u8bed\u8a00\u6a21\u578b (LLM) \u5df2\u901a\u8fc7\u5404\u79cd\u7c7b\u578b\u7684\u68c0\u7d22\u589e\u5f3a\u751f\u6210 (RAG) \u5185\u5bb9\u8fdb\u884c\u4e86\u589e\u5f3a\u2014\u2014\u516c\u53f8\u8fdb\u884c\u7684\u4e13\u6709\u7814\u7a76\u3001\u8c37\u6b4c\u641c\u7d22\u8d8b\u52bf\u3001\u8054\u5408\u6570\u636e\u6e90\u7b49\u7b49\u3002\u57fa\u4e8e RAG \u7684\u7cfb\u7edf\u66f4\u591a\u5730\u5229\u7528\u516c\u53f8\u7279\u5b9a\u7684\u5185\u5bb9\uff0c\u800c\u4e0d\u662f\u516c\u5171\u4e92\u8054\u7f51\u6750\u6599\uff0c\u56e0\u6b64\u4ea7\u751f\u5e7b\u89c9\u7684\u53ef\u80fd\u6027\u8f83\u4f4e\u3002 <\/p>\n<p>\u201c\u751f\u6210\u5f0f\u4eba\u5de5\u667a\u80fd\u53ef\u4ee5\u5feb\u901f\u6d4f\u89c8\u8fd9\u4e9b\u6750\u6599\u5e76\u63cf\u8ff0\u5e02\u573a\u8d8b\u52bf\u548c\u672a\u6ee1\u8db3\u7684\u6d88\u8d39\u8005\u9700\u6c42\u3002\u8fd9\u610f\u5473\u7740\uff0c\u5f53\u5458\u5de5\u9700\u8981\u6d88\u8d39\u8005\u6d1e\u5bdf\u65f6\uff0c\u65e0\u9700\u4e0b\u8f7d\u3001\u9605\u8bfb\u548c\u6ce8\u91ca\u5927\u91cf\u7684\u5e02\u573a\u7814\u7a76\u62a5\u544a\uff0c\u800c\u662f\u53ef\u4ee5\u5728\u63d0\u793a\u4e2d\u5199\u4e0b\u4ed6\u4eec\u60f3\u8981\u56de\u7b54\u7684\u95ee\u9898\u5e76\u7acb\u5373\u5f97\u5230\u7b54\u590d\u3002\u2026\u2026<\/p>\n<p>\u201c\u9ad8\u9732\u6d01\u68d5\u6984\u7684\u56e2\u961f\u53d1\u73b0\uff0c\u4ed6\u4eec\u53ef\u4ee5\u5c06\u4e00\u4e2a\u80fd\u591f\u663e\u793a\u672a\u6ee1\u8db3\u7684\u6d88\u8d39\u8005\u9700\u6c42\u7684\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\u4e0e\u53e6\u4e00\u4e2a\u4e13\u6709\u7684\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\u76f8\u7ed3\u5408\uff0c\u8be5\u7cfb\u7edf\u53ef\u4ee5\u5f00\u53d1\u65b0\u4ea7\u54c1\u6982\u5ff5\u6765\u6ee1\u8db3\u8fd9\u4e9b\u9700\u6c42\u3002\u5728\u4eba\u5de5\u6307\u5bfc\u4e0b\uff0c\u5b83\u53ef\u4ee5\u5728\u51e0\u5206\u949f\u5185\u4e3a\u65b0\u6982\u5ff5\u751f\u6210\u526f\u672c\u548c\u56fe\u50cf\uff0c\u4f8b\u5982\u7259\u818f\u7684\u65b0\u53e3\u5473\u3002\u867d\u7136\u603b\u662f\u6709\u4eba\u5728\u5faa\u73af\u4e2d\u6307\u5bfc\u5de5\u4f5c\u6d41\u7a0b\uff0c\u4f46\u4f7f\u7528 GenAI \u589e\u5f3a\u7cfb\u7edf\u6bd4\u8ba9\u4eba\u7ffb\u9605\u5e02\u573a\u7814\u7a76\u6750\u6599\u8981\u9ad8\u6548\u5f97\u591a\u3002\u6240\u4ea7\u751f\u7684\u60f3\u6cd5\u7684\u5e7f\u5ea6\u8fd8\u521b\u9020\u4e86\u66f4\u5e7f\u6cdb\u7684\u4ea7\u54c1 <a href=\"https:\/\/sloanreview.mit.edu\/article\/the-genai-focus-shifts-to-innovation-at-colgate-palmolive\/\"><strong>\u9605\u8bfb\u5168\u6587 \u00bb<\/strong><\/a><\/p>\n<h4><a href=\"https:\/\/sloanreview.mit.edu\/article\/bring-your-own-ai-how-to-balance-risks-and-innovation\/\" style=\"border-bottom:none;\">5. \u81ea\u5e26\u4eba\u5de5\u667a\u80fd\uff1a\u5982\u4f55\u5e73\u8861\u98ce\u9669\u548c\u521b\u65b0<\/a><\/h4>\n<h6>\u5c3c\u514b\u00b7\u8303\u5fb7\u83ab\u4f26\u548c\u82ad\u82ad\u62c9\u00b7H\u00b7\u5a01\u514b\u745f\u59c6<\/h6>\n<p>\u201c\u968f\u7740 GenAI \u7684\u5174\u8d77\uff0c\u7ec4\u7ec7\u9886\u5bfc\u8005\u9762\u4e34\u7740\u65b0\u7684\u6311\u6218\uff1a\u81ea\u5e26 AI (BYOAI) \u73b0\u8c61\uff0c\u5f53\u5458\u5de5\u4f7f\u7528\u672a\u7ecf\u5ba1\u67e5\u7684\u516c\u5f00 GenAI \u5de5\u5177\u8fdb\u884c\u5de5\u4f5c\u65f6\u5c31\u4f1a\u51fa\u73b0\u8fd9\u79cd\u73b0\u8c61\u3002<\/p>\n<p>\u201c\u867d\u7136\u8fd9\u4e9b\u5de5\u5177\u6709\u671b\u63d0\u9ad8\u751f\u4ea7\u529b\u548c\u521b\u9020\u6f5c\u529b\uff0c\u4f46\u5b83\u4eec\u4e5f\u5e26\u6765\u4e86\u7ec4\u7ec7\u5b89\u5168\u548c\u6cbb\u7406\u98ce\u9669\uff0c\u5305\u62ec\u6570\u636e\u4e22\u5931\u3001\u77e5\u8bc6\u4ea7\u6743\u6cc4\u9732\u3001\u7248\u6743\u4fb5\u72af\u548c\u5b89\u5168\u6f0f\u6d1e\u3002......<\/p>\n<p>\u201c\u8003\u8651\u5230\u4e0e BYOAI \u76f8\u5173\u7684\u98ce\u9669\uff0c\u9886\u5bfc\u8005\u8003\u8651\u5f7b\u5e95\u7981\u6b62\u672a\u7ecf\u5ba1\u67e5\u7684 GenAI \u5de5\u5177\u4f3c\u4e4e\u662f\u5408\u4e4e\u903b\u8f91\u7684\u3002\u4e0d\u53d7\u63a7\u5236\u7684 GenAI \u4f7f\u7528\u524d\u666f\uff0c\u52a0\u4e0a\u6cd5\u5f8b\u548c\u76d1\u7ba1\u98ce\u9669\u7684\u4e0d\u786e\u5b9a\u6027\uff0c\u53ef\u4ee5\u7406\u89e3\u5730\u8ba9\u9886\u5bfc\u8005\u53d8\u5f97\u8c28\u614e\u3002\u7136\u800c\uff0c\u6211\u4eec\u91c7\u8bbf\u7684\u9ad8\u7ba1\u8868\u793a\uff0c\u7981\u6b62 BYOAI \u65e2\u4e0d\u5b9e\u9645\u4e5f\u4e0d\u6709\u6548\u3002\u5458\u5de5\u2014\u2014\u5c24\u5176\u662f\u90a3\u4e9b\u5df2\u7ecf\u611f\u5230\u6349\u895f\u89c1\u8098\u7684\u5458\u5de5\u2014\u2014\u7ecf\u5e38\u8f6c\u5411 GenAI \u5de5\u5177\u6765\u63d0\u9ad8\u4e2a\u4eba\u751f\u4ea7\u529b\u3002\u9650\u5236\u8bbf\u95ee\u53ea\u4f1a\u8feb\u4f7f\u4ed6\u4eec\u5bfb\u627e\u975e\u5b98\u65b9\u7684\u89e3\u51b3\u65b9\u6cd5\uff0c <a href=\"https:\/\/sloanreview.mit.edu\/article\/bring-your-own-ai-how-to-balance-risks-and-innovation\/\"><strong>\u9605\u8bfb\u5168\u6587 \u00bb<\/strong><\/a><\/p>\n<h4><a href=\"https:\/\/sloanreview.mit.edu\/article\/stop-deploying-ai-start-designing-intelligence\/\" style=\"border-bottom:none;\">6.\u505c\u6b62\u90e8\u7f72\u4eba\u5de5\u667a\u80fd\u3002<\/a><\/h4>\n<h6>\u8fc8\u514b\u5c14\u00b7\u65bd\u62c9\u683c\u548c\u5927\u536b\u00b7\u57fa\u9686<\/h6>\n<p>\u201c\u4f5c\u4e3a\u6211\u4eec\u6b63\u5728\u8fdb\u884c\u7684\u2018\u54f2\u5b66\u541e\u566c\u4eba\u5de5\u667a\u80fd\u2019\u63a2\u7d22\u7684\u4e00\u90e8\u5206\u2014\u2014\u57fa\u672c\u54f2\u5b66\u7684\u6e05\u6670\u5ea6\u5bf9\u4e8e\u667a\u80fd\u7cfb\u7edf\u7684\u672a\u6765\u4ef7\u503c\u81f3\u5173\u91cd\u8981\u2014\u2014\u6211\u4eec\u53d1\u73b0\uff0c[\u7269\u7406\u5b66\u5bb6\u51fa\u8eab\u7684\u4f01\u4e1a\u5bb6\u65af\u8482\u82ac]\u6c83\u5c14\u592b\u52d2\u59c6\u5173\u4e8e\u8ba1\u7b97\u7684\u57fa\u672c\u89c1\u89e3\u5bf9\u4e8e\u90a3\u4e9b\u88ab\u4eba\u5de5\u667a\u80fd\u80fd\u529b\u538b\u5012\u4f46\u5bf9\u4eba\u5de5\u667a\u80fd\u56de\u62a5\u5374\u4e0d\u77e5\u6240\u63aa\u7684\u9886\u5bfc\u8005\u6765\u8bf4\uff0c\u5177\u6709\u660e\u663e\u7684\u53ef\u64cd\u4f5c\u6027\uff0c\u5c3d\u7ba1\u6ca1\u6709\u5f97\u5230\u5145\u5206\u91cd\u89c6\u3002\u2026\u2026<\/p>\n<p>\u201c\u4ed6\u4e00\u751f\u7684\u5de5\u4f5c\u73b0\u5728\u4e3a\u5728\u73b0\u5b9e\u4e16\u754c\u4e2d\u7406\u89e3\u548c\u5e94\u7528\u4eba\u5de5\u667a\u80fd\u63d0\u4f9b\u4e86\u91cd\u8981\u7684\u6846\u67b6\u3002\u4ed6\u7684\u89c1\u89e3\u5e76\u4e0d\u662f\u806a\u660e\u7684\u5b66\u672f\u7e41\u8363\uff1b\u5b83\u4eec\u662f\u6784\u5efa\u5927\u89c4\u6a21\u6709\u6548\u8fd0\u4f5c\u7684\u667a\u80fd\u73af\u5883\u7684\u5fc5\u8981\u6761\u4ef6\u2026\u2026<\/p>\n<p>\u201c\u901a\u8fc7 Wolfram\uff0c\u6211\u4eec\u63a2\u7d22\u4e86\u4eba\u5de5\u667a\u80fd\u9886\u5bfc\u529b\u5fc5\u987b\u4ece <em>\u66f4\u597d\u5730\u91c7\u7528\u548c\u96c6\u6210\u4eba\u5de5\u667a\u80fd\u5de5\u5177<\/em> \u81f3 <em>\u8bbe\u8ba1\u667a\u80fd\u73af\u5883<\/em>\uff0c\u7ec4\u7ec7\u67b6\u6784\u4e2d\u4eba\u7c7b\u548c\u4eba\u5de5\u667a\u80fd\u4ee3\u7406\u4e3b\u52a8\u4ea4\u4e92\u4ee5\u521b\u9020\u6218\u7565\u4ef7\u503c\u3002 <a href=\"https:\/\/sloanreview.mit.edu\/article\/stop-deploying-ai-start-designing-intelligence\/\"><strong>\u9605\u8bfb\u5168\u6587 \u00bb<\/strong><\/a><\/p>\n<h4><a href=\"https:\/\/sloanreview.mit.edu\/article\/the-hidden-costs-of-coding-with-generative-ai\/\" style=\"border-bottom:none;\">7. \u4f7f\u7528\u751f\u6210\u5f0f\u4eba\u5de5\u667a\u80fd\u7f16\u7801\u7684\u9690\u6027\u6210\u672c<\/a><\/h4>\n<h6>\u7231\u5fb7\u534e\u00b7\u5b89\u5fb7\u68ee\u3001\u6770\u5f17\u91cc\u00b7\u5e15\u514b\u548c\u5e03\u5c14\u5e93\u00b7\u5766<\/h6>\n<p>\u201c\u91c7\u7528\u8fd9\u4e9b\u5de5\u5177\u7684\u7ec4\u7ec7\u9884\u8ba1\u5c06\u83b7\u5f97\u91cd\u5927\u6536\u76ca\u3002\u65e9\u671f\u7814\u7a76\u652f\u6301\u4e86\u4ed6\u4eec\u7684\u4e50\u89c2\u6001\u5ea6\uff1aGitHub \u62a5\u544a\u79f0\uff0c\u4f7f\u7528 Copilot \u7684\u7a0b\u5e8f\u5458\u7684\u5de5\u4f5c\u6548\u7387\u63d0\u9ad8\u4e86 55%\uff0c\u9ea6\u80af\u9521\u53d1\u73b0\uff0c\u5728\u751f\u6210\u5f0f AI \u8f85\u52a9\u4e0b\uff0c\u5f00\u53d1\u4eba\u5458\u5b8c\u6210\u4efb\u52a1\u7684\u901f\u5ea6\u63d0\u9ad8\u4e86\u4e00\u500d\u3002<\/p>\n<p>\u201c\u4f46\u8fd9\u4e9b\u79ef\u6781\u6307\u6807\u4e5f\u4f34\u968f\u7740\u4e00\u4e2a\u91cd\u5927\u8b66\u544a\u3002\u8fd9\u4e9b\u7814\u7a76\u662f\u5728\u53d7\u63a7\u73af\u5883\u4e2d\u8fdb\u884c\u7684\uff0c\u7a0b\u5e8f\u5458\u5728\u5176\u4e2d\u5b8c\u6210\u5b64\u7acb\u7684\u4efb\u52a1\uff0c\u800c\u4e0d\u662f\u5728\u73b0\u5b9e\u73af\u5883\u4e2d\u8fdb\u884c\uff0c\u5728\u73b0\u5b9e\u73af\u5883\u4e2d\uff0c\u8f6f\u4ef6\u5fc5\u987b\u6784\u5efa\u5728\u590d\u6742\u7684\u73b0\u6709\u7cfb\u7edf\u4e4b\u4e0a\u3002\u5f53\u4eba\u5de5\u667a\u80fd\u751f\u6210\u7684\u4ee3\u7801\u7684\u4f7f\u7528\u8fc5\u901f\u6269\u5c55\u6216\u5e94\u7528\u4e8e\u68d5\u5730\uff08\u9057\u7559\uff09\u73af\u5883\u65f6\uff0c\u98ce\u9669\u4f1a\u66f4\u5927\uff0c\u4e5f\u66f4\u96be\u4ee5\u7ba1\u7406\u3002......<\/p>\n<p>\u201c\u5f53\u4e00\u4e2a\u7ec4\u7ec7\u5feb\u901f\u5c06\u65b0\u8f6f\u4ef6\u5f15\u5165\u73b0\u6709\u7cfb\u7edf\u65f6\uff0c\u5b83\u53ef\u80fd\u4f1a\u65e0\u610f\u4e2d\u4ea7\u751f\u4e00\u56e2\u4f9d\u8d56\u5173\u7cfb\uff0c\u4ece\u800c\u4f7f\u5176\u53d8\u5f97\u66f4\u52a0\u590d\u6742\u3002 <em>\u6280\u672f\u503a\u52a1<\/em> \u2014\u2014\u4e5f\u5c31\u662f\u8bf4\uff0c\u672a\u6765\u4e3a\u4e86\u89e3\u51b3\u5f00\u53d1\u8fc7\u7a0b\u4e2d\u91c7\u53d6\u7684\u6377\u5f84\u548c\u5feb\u901f\u4fee\u590d\u800c\u9700\u8981\u7684\u989d\u5916\u6280\u672f\u5de5\u4f5c\u7684\u6210\u672c\u3002<\/p>\n<p>\u201c\u7ec4\u7ec7\u5fc5\u987b\u5c06\u4eba\u5de5\u667a\u80fd\u5de5\u5177\u589e\u52a0\u6280\u672f\u503a\u52a1\u7684\u8d8b\u52bf\u89c6\u4e3a\u6218\u7565\u98ce\u9669\uff0c\u800c\u4e0d\u4ec5\u4ec5\u662f\u8fd0\u8425\u9ebb\u70e6\u3002\u201d <a href=\"https:\/\/sloanreview.mit.edu\/article\/the-hidden-costs-of-coding-with-generative-ai\/\"><strong>\u9605\u8bfb\u5168\u6587 \u00bb<\/strong><\/a><\/p>\n<h4><a href=\"https:\/\/sloanreview.mit.edu\/article\/when-to-use-genai-versus-predictive-ai\/\" style=\"border-bottom:none;\">8. \u4f55\u65f6\u4f7f\u7528 GenAI \u4e0e\u9884\u6d4b\u4eba\u5de5\u667a\u80fd<\/a><\/h4>\n<h6>\u62c9\u739b\u00b7\u62c9\u9a6c\u514b\u91cc\u5e0c\u5357<\/h6>\n<p>\u201c\u867d\u7136\u751f\u6210\u5f0f\u4eba\u5de5\u667a\u80fd\u6709\u671b\u5f7b\u5e95\u6539\u53d8\u4ece\u5ba2\u6237\u670d\u52a1\u5230\u4ea7\u54c1\u5f00\u53d1\u7684\u4e00\u5207\uff0c\u4f46\u5b83\u4e0e\u9884\u6d4b\u6027\u4eba\u5de5\u667a\u80fd\u5de5\u5177\uff08\u5373\u673a\u5668\u5b66\u4e60\u548c\u6df1\u5ea6\u5b66\u4e60\u5de5\u5177\uff09\u4e00\u8d77\u53d1\u6325\u7684\u6700\u4f73\u4f5c\u7528\u4ecd\u7136\u662f\u4e00\u9879\u6b63\u5728\u8fdb\u884c\u7684\u5de5\u4f5c\u3002\u8fd9\u5e38\u5e38\u8ba9\u9886\u5bfc\u8005\u8be2\u95ee\u89e3\u51b3\u7279\u5b9a\u95ee\u9898\u7684\u6b63\u786e\u65b9\u6cd5\u662f\u4ec0\u4e48\u3002......<\/p>\n<p>\u201c\u4e3a\u4e86\u6709\u6548\u5730\u5c06\u4f20\u7edf\u673a\u5668\u5b66\u4e60\u4e0e\u975e\u7ed3\u6784\u5316\u6570\u636e\u7ed3\u5408\u4f7f\u7528\uff0c\u6570\u636e\u5fc5\u987b\u662f <em>\u624b\u52a8<\/em> \u7ed3\u6784\u5316\u2014\u2014\u8fd9\u662f\u4e00\u9879\u6602\u8d35\u7684\u4efb\u52a1\uff0c\u4f7f\u5f97\u673a\u5668\u5b66\u4e60\u5bf9\u4e8e\u8f93\u5165\u6570\u636e\u4e0d\u662f\u8868\u683c\u7684\u4e1a\u52a1\u7528\u4f8b\u6ca1\u6709\u5438\u5f15\u529b\u3002<\/p>\n<p>\u201c\u50cf\u6cd5\u5b66\u7855\u58eb\u8fd9\u6837\u7684\u751f\u6210\u5f0f\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\u7684\u8f93\u5165\u548c\u8f93\u51fa\u901a\u5e38\u662f\u975e\u7ed3\u6784\u5316\u7684\u3002\u6700\u5e38\u89c1\u7684\u662f\uff0c\u5b83\u4eec\u5305\u542b\u6587\u672c\u548c\/\u6216\u56fe\u50cf\u6570\u636e\uff0c\u6700\u8fd1\u8fd8\u5305\u62ec\u89c6\u9891\u3002\u8bf7\u6ce8\u610f\uff0c\u751f\u6210\u5f0f\u4eba\u5de5\u667a\u80fd\u5de5\u5177\u5206\u6790\u548c\u521b\u5efa\u7684\u6587\u672c\u6db5\u76d6\u4e86\u60ca\u4eba\u7684\u7c7b\u578b\u8303\u56f4\uff0c\u4f8b\u5982\u8f6f\u4ef6\u4ee3\u7801\u3001\u86cb\u767d\u8d28\u5e8f\u5217\u3001\u97f3\u4e50\u7b26\u53f7\u3001\u6570\u5b66\u8868\u8fbe\u5f0f\u548c\u5316\u5b66\u516c\u5f0f\u3002......<\/p>\n<p>\u201c\u8ba9\u6211\u4eec\u4ece\u7b80\u5355\u7684\u4f8b\u5b50\u5f00\u59cb\u3002\u5982\u679c\u4f60\u8981\u89e3\u51b3\u751f\u6210\u95ee\u9898\uff0c\u90a3\u4e48\u53ea\u6709\u4e00\u79cd\u6e38\u620f\uff1a\u751f\u6210\u5f0f AI\u3002\u6839\u636e\u4f60\u60f3\u8981\u751f\u6210\u7684\u8f93\u51fa\u7c7b\u578b\uff0c\u4f60\u53ef\u80fd\u9700\u8981\u4f7f\u7528\u591a\u6a21\u5f0f LLM\uff0c\u5982 OpenAI \u7684 GPT-4\u3001Anthropic \u7684 Claude 3.7 Sonnet \u6216 Google \u7684 Gemini 1.5\uff1b\u6587\u672c\u5230\u56fe\u50cf\u6a21\u578b\uff0c\u5982 Dall-E\uff1b\u6216\u4e3a\u97f3\u9891\u548c\u56fe\u50cf\u6784\u5efa\u7684\u4e13\u7528\u6a21\u578b\u3002<\/p>\n<p>\u201c\u7136\u800c\uff0c\u5982\u679c\u4f60\u6709\u9884\u6d4b\u95ee\u9898\uff0c\u4e8b\u60c5\u5c31\u4f1a\u53d8\u5f97\u66f4\u52a0\u590d\u6742\u3002\u201d <a href=\"https:\/\/sloanreview.mit.edu\/article\/when-to-use-genai-versus-predictive-ai\/\"><strong>\u9605\u8bfb\u5168\u6587 \u00bb<\/strong><\/a><\/p>\n<h4>\u5176\u4ed6\u8d44\u6e90\uff1a\u4e0e\u60a8\u7684\u56e2\u961f\u4e00\u8d77\u5e94\u7528\u4eba\u5de5\u667a\u80fd\u8bfe\u7a0b<\/h4>\n<h5><a href=\"https:\/\/sloanreview.mit.edu\/digital-toolkit-gen-ai\/\" style=\"border-bottom:none;\">GenAI\uff1a\u6218\u7565+\u6cbb\u7406\u5de5\u5177\u5305<\/a><\/h5>\n<p><cite>\u9ebb\u7701\u7406\u5de5\u5b66\u9662\u65af\u9686\u7ba1\u7406\u8bc4\u8bba<\/cite> \u4e0e\u5168\u7403\u4e94\u4f4d\u6700\u9876\u5c16\u7684\u751f\u6210\u5f0f\u4eba\u5de5\u667a\u80fd\u9886\u5bfc\u529b\u4e13\u5bb6\u4e00\u8d77\u5f00\u53d1\u4e86\u751f\u6210\u5f0f\u4eba\u5de5\u667a\u80fd\u7b56\u7565+\u6cbb\u7406\u5de5\u5177\u5305\uff1aEthan Mollick\uff08\u5bbe\u5915\u6cd5\u5c3c\u4e9a\u5927\u5b66\u6c83\u987f\u5546\u5b66\u9662\uff09\u3001John Sviokla\uff08\u54c8\u4f5b\u5546\u5b66\u9662\u548c GAI Insights\uff09\u3001John K. Thompson\uff08Hackett Group \u548c\u5bc6\u6b47\u6839\u5927\u5b66\uff09\u3001George Westerman\uff08\u9ebb\u7701\u7406\u5de5\u65af\u9686\u7ba1\u7406\u5b66\u9662\uff09\u548c David A. Wood\uff08\u6768\u767e\u7ff0\u5927\u5b66\u4e07\u8c6a\u5546\u5b66\u9662\uff09\u3002<\/p>\n<p>\u8be5\u5957\u4ef6\u5305\u62ec Westerman \u7684\u89c6\u9891\u8bfe\u7a0b\u3001GenAI \u6218\u7565\u89c4\u5212\u8005\u3001GenAI \u6218\u7565\u6e05\u5355\u3001GenAI \u6cbb\u7406\u89c4\u5212\u8005\u3001\u6587\u7ae0\u7b49\u3002<\/p>\n<aside class=\"article-ad ad-300  ad-300x250 ad-desktop\">\n<\/aside>\n<aside class=\"article-ad ad-300  ad-300x250 ad-mobile\">\n<\/aside>\n<div class=\"article-authors\" id=\"article-authors\">\n<h4 class=\"article-authors__title\">\u5173\u4e8e\u4f5c\u8005<\/h4>\n<div class=\"article-authors__bio\">\n<p>\u83b1\u65af\u5229\u00b7\u5e03\u7f57\u8003 (Leslie Brokaw) \u662f <cite>\u9ebb\u7701\u7406\u5de5\u5b66\u9662\u65af\u9686\u7ba1\u7406\u8bc4\u8bba<\/cite>.<\/p>\n<\/div><\/div>\n<\/div>\n<p>#Cut #GenAI #Confusion #Definitive #Reads<\/p>","protected":false},"excerpt":{"rendered":"<p>\u6458\u8981\uff1a\u751f\u6210\u5f0f\u4eba\u5de5\u667a\u80fd\u5df2\u7ecf\u6210\u4e3a\u8bb8\u591a\u4eba\u5de5\u4f5c\u65e5\u548c\u7ec4\u7ec7\u5de5\u4f5c\u6d41\u7a0b\u7684\u4e00\u90e8\u5206\u3002<\/p>","protected":false},"author":1,"featured_media":3586,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[9],"tags":[],"class_list":["post-3585","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-management"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.7.1 (Yoast SEO v25.8) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Cut Through GenAI Confusion: Eight Definitive Reads - MORE SOURCING LTD<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/moresourcing.com\/zh\/cut-through-genai-confusion-eight-definitive-reads\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cut Through GenAI Confusion: Eight Definitive Reads\" \/>\n<meta property=\"og:description\" content=\"Summary: Generative AI has become a part of many people\u2019s workdays and organizations\u2019 work processes. 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