{"id":3516,"date":"2023-09-07T08:30:31","date_gmt":"2023-09-07T00:30:31","guid":{"rendered":""},"modified":"2023-09-07T08:30:31","modified_gmt":"2023-09-07T00:30:31","slug":"","status":"publish","type":"post","link":"http:\/\/www.idea2003.com\/dongtai\/3516.html","title":{"rendered":"OpenAI\u79d1\u5b66\u5bb6Jason Wei\uff1a\u601d\u7ef4\u94fe\u7075\u611f\u6765\u6e90\u4e8e\u51a5\u60f3"},"content":{"rendered":"<\/p>\n<p>\u7f16\u8005\u6309\uff1a\u672c\u6587\u6765\u81ea\u5fae\u4fe1\u516c\u4f17\u53f7\u667a\u6e90\u793e\u533a\uff08ID\uff1aBAAIHub\uff09\uff0c\u4f5c\u8005\uff1a\u674e\u68a6\u4f73\uff0c\u5fae\u65b0\u521b\u60f3\u7ecf\u6388\u6743\u53d1\u5e03\u3002<\/p>\n<p>\u5728\u5927\u6a21\u578b\u7684\u7814\u53d1\u9053\u8def\u4e0a\uff0c\u601d\u7ef4\u94fe\u3001\u6307\u4ee4\u5fae\u8c03\u548c\u667a\u80fd\u6d8c\u73b0\u7b49\u5173\u952e\u601d\u60f3\u5907\u53d7\u5173\u6ce8\u3002\u6b63\u662f\u601d\u7ef4\u94fe\u6280\u672f\uff08Chain of Thought\uff09\u8ba9\u5927\u6a21\u578b\u80fd\u591f\u6d8c\u73b0\u51fa\u4e00\u7cfb\u5217\u795e\u5947\u7684\u80fd\u529b\uff0c\u6210\u4e3a\u4e86\u73b0\u4ee3\u5927\u8bed\u8a00\u6a21\u578b\u4ea7\u751f\u300c\u6d8c\u73b0\u300d\u7684\u5e95\u5c42\u6280\u672f\u3002\u601d\u7ef4\u94fe\u65e8\u5728\u901a\u8fc7\u5411\u5927\u8bed\u8a00\u6a21\u578b\u5c55\u793a\u5c11\u91cf\u7684\u6837\u4f8b\uff0c\u5e76\u901a\u8fc7\u8fd9\u4e9b\u6837\u4f8b\u89e3\u91ca\u63a8\u7406\u8fc7\u7a0b\uff0c\u8ba9\u5927\u8bed\u8a00\u6a21\u578b\u5b66\u4f1a\u5728\u751f\u6210\u7b54\u6848\u65f6\u5c55\u793a\u63a8\u7406\u8fc7\u7a0b\uff0c\u5e76\u5f15\u5bfc\u5176\u5f97\u5230\u66f4\u51c6\u786e\u7684\u7b54\u6848\u3002\u76f8\u5f53\u4e8e\u5c06\u9ed1\u76d2\u6df1\u5ea6\u5b66\u4e60\u7684\u591a\u6b65\u63a8\u7406\u8fc7\u7a0b\u7684\u4e2d\u95f4\u6b65\u9aa4\u62c6\u5f00\uff0c\u7ed3\u8026\u4e86\u5404\u4e2a\u6b65\u9aa4\u7684\u5de5\u4f5c\uff0c\u7b80\u5316\u4e86\u6bcf\u4e00\u6b65\u5de5\u4f5c\u4e0a\u6a21\u578b\u7684\u538b\u529b\uff0c\u5728\u63d0\u9ad8\u53ef\u89e3\u91ca\u6027\u7684\u540c\u65f6\u63d0\u5347\u4e86\u6a21\u578b\u6027\u80fd\u3002<\/p>\n<p>\u7814\u7a76\u7075\u611f\u5f80\u5f80\u6765\u81ea\u67d0\u6b21\u5076\u7136\u7684\u4e00\u77a5\u60ca\u9e3f\uff0c\u53ef\u9047\u800c\u4e0d\u53ef\u6c42\u3002\u8c08\u8d77\u601d\u7ef4\u94fe\u7684\u7075\u5149\u4e4d\u73b0\uff0cCoT\u63d0\u51fa\u8005Jason Wei\u8868\u793a\uff0c\u4ed6\u7684\u7075\u611f\u6765\u6e90\u662f\u4e00\u672c\u53eb\u505a\u300aWaking up\u300b\u7684\u51a5\u60f3\u4e4b\u4e66\uff0c\u8be5\u4e66\u4f5c\u8005\u4e3a\u7f8e\u56fd\u65e0\u795e\u8bba\u8005\u3001\u516c\u5171\u77e5\u8bc6\u5206\u5b50Sam Harris\uff0c\u4ece\u7075\u4fee\uff08spirituality\uff09\u7684\u89d2\u5ea6\u8bb2\u8ff0\u4e86\u601d\u7ef4\u3001\u610f\u8bc6\u548c\u81ea\u6211\u7684\u5173\u7cfb\u3002<\/p>\n<p>\u667a\u6e90\u793e\u533a\u7279\u522b\u9080\u8bf7\u5230\u73b0\u4efbOpenAI\u79d1\u5b66\u5bb6Jason Wei\u8fdb\u884c\u4e86\u5bf9\u8bdd\uff0c\u4ed6\u8c08\u5230\u4e86\u505a\u7814\u7a76\u7684\u70b9\u70b9\u6ef4\u6ef4\uff0c\u4ee5\u53ca\u5728\u8c37\u6b4c\u548cOpenAI\u7684\u5de5\u4f5c\u7ecf\u5386\u3002Jason Wei\u6bd5\u4e1a\u4e8e\u8fbe\u7279\u8305\u65af\u5927\u5b66\uff0c\u5728\u5927\u6a21\u578b\u7814\u53d1\u9886\u57df\u62e5\u6709\u4e30\u5bcc\u7684\u7ecf\u9a8c\u548c\u6770\u51fa\u6210\u5c31\uff0c\u5728\u8c37\u6b4c\u5de5\u4f5c\u671f\u95f4\u66fe\u4e3b\u5bfc\u63a8\u5e7f\u4e86\u5927\u8bed\u8a00\u6a21\u578b\u4e2d\u5305\u62ec\u601d\u7ef4\u94fe\u63d0\u793a\u3001\u6307\u4ee4\u5fae\u8c03\u548c\u6a21\u578b\u6d8c\u73b0\u5728\u5185\u4e00\u7cfb\u5217\u5173\u952e\u601d\u60f3\u7684\u8bde\u751f\u3002<\/p>\n<p><strong>\u8981\u70b9\u901f\u89c8<\/strong><\/p>\n<ul>\n<li>\n<p>\u5bf9\u4e8e\u5f53\u65f6\u7684\u8bb8\u591a\u534e\u4eba\u5bb6\u5ead\u6765\u8bf4\uff0c\u7f8e\u56fd\u68a6\u5c31\u662f\u4f9b\u5b69\u5b50\u53bb\u8bfb\u5e38\u6625\u85e4\u76df\u6821\uff0c\u5728\u534e\u5c14\u8857\u8c0b\u6c42\u4e00\u4efd\u4f53\u9762\u7684\u5de5\u4f5c\uff0c\u8d5a\u5f88\u591a\u94b1\u3002\u800c\u6211\u6210\u4e3a\u4e86\u5f53\u65f6\u670b\u53cb\u5708\u4e2d\u552f\u4e00\u4e00\u4e2a\u4ece\u4e8b\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u7684\u4eba\u3002<\/p>\n<\/li>\n<li>\n<p>\u65e9\u671f\u7684\u5316\u5b66\u7814\u7a76\u6559\u4f1a\u4e86\u6211\u4f55\u4e3a\u7814\u7a76\u7684\u672c\u8d28\uff0c\u4ee5\u53ca\u5982\u4f55\u63d0\u51fa\u4e25\u683c\u7684\u5047\u8bbe\u5e76\u8fdb\u884c\u6d4b\u8bd5\u3002<\/p>\n<\/li>\n<li>\n<p>\u57282019\u5e74\u6211\u521b\u5efa\u4e86\u7b2c\u4e00\u4e2a\u5bf9\u80ba\u764c\u5206\u7c7b\u7684\u795e\u7ecf\u7f51\u7edc\u3002\u8fd9\u4e5f\u662f\u6211\u53d1\u8868\u7684\u4e00\u7bc7\u8bba\u6587\uff0c\u5728\u8bba\u6587\u88ab\u63a5\u6536\u524d\u88ab\u62d2\u4e86\u516d\u6b21\u3002<\/p>\n<\/li>\n<li>\n<p>\u6211\u5bf9\u51a5\u60f3\u5f88\u611f\u5174\u8da3\u3002\u51a5\u60f3\u7684\u4f5c\u7528\u662f\u89c2\u6d4b\u5230\u4f60\u5934\u8111\u4e2d\u51fa\u73b0\u7684\u6240\u6709\u60f3\u6cd5\uff0c\u6211\u79f0\u4e4b\u4e3a\u601d\u60f3\u6d41\uff08stream of thought\uff09\uff0c\u8fde\u7eed\u4e0d\u65ad\u6d41\u52a8\u7684\u601d\u60f3\u3002\u53c2\u8003\u4eba\u7c7b\u5185\u5728\u7684\u601d\u8003\u8fc7\u7a0b\uff0c\u6211\u8ba4\u4e3a\u6a21\u578b\u4e5f\u53ef\u4ee5\u6709\u601d\u60f3\u6d41\u3002<\/p>\n<\/li>\n<li>\n<p>\u8fd9\u9879\u6280\u672f\u4e0a\u88ab\u79f0\u4e3a\u601d\u7ef4\u94fe\u7684\u539f\u56e0\u662f\uff0c\u601d\u60f3\u6d41\u66f4\u50cf\u662f\u6742\u4e71\u65e0\u7ae0\u5730\uff0c\u968f\u673a\u5728\u5934\u8111\u4e2d\u6d8c\u73b0\u7684\u4efb\u4f55\u4e1c\u897f\u3002\u800c\u601d\u7ef4\u94fe\u5219\u662f\u4e00\u4e2a\u66f4\u6709\u903b\u8f91\u6216\u7ec4\u7ec7\u6027\u8d28\u7684\u601d\u7ef4\u8fc7\u7a0b\u3002<\/p>\n<\/li>\n<li>\n<p>\u4ece\u8c37\u6b4c\u5230OpenAI\uff0c\u6700\u5927\u7684\u53d8\u5316\u662f\u6bcf\u4e2a\u4eba\u4ece\u505a\u81ea\u5df1\u7684\u7814\u7a76\u3001\u9009\u62e9\u9879\u76ee\u8f6c\u53d8\u4e3a\u5728\u5177\u6709\u6838\u5fc3\u76ee\u6807\u7684\u66f4\u5927\u56e2\u961f\u4e2d\u5de5\u4f5c\u3002<\/p>\n<\/li>\n<li>\n<p>OpenAI \u7684\u5458\u5de5\u5de5\u4f5c\u975e\u5e38\u52aa\u529b\uff0c\u6240\u6709\u4eba\u90fd\u5bf9\u901a\u7528\u4eba\u5de5\u667a\u80fd (AGI) \u5145\u6ee1\u70ed\u60c5\u3002\u5927\u90e8\u5206\u52a0\u5165OpenAI\u7684\u4eba\u90fd\u662f\u60f3\u53c2\u4e0e\u7814\u7a76\u4e00\u4e9b\u66f4\u5e9e\u5927\u7684\u4e8b\u9879\uff0c\u6210\u4e3aGPT\u8fd9\u6837\u9879\u76ee\u7684\u4e00\u5458\u3002<\/p>\n<\/li>\n<li>\n<p>\u6211\u4e0d\u662f\u975e\u5e38\u64c5\u957f\u5e73\u8861\u5de5\u4f5c\u548c\u751f\u6d3b\uff0c\u4e5f\u4e0d\u8ba4\u4e3a\u6bcf\u4e2a\u4eba\u90fd\u5e94\u8be5\u6e34\u671b\u505a\u5230\u5e73\u8861\u3002\u4e8b\u5b9e\u662f\uff0c\u6ca1\u6709\u54ea\u4e2a\u8d85\u7ea7\u6210\u529f\u7684\u4eba\u662f\u4e0d\u52aa\u529b\u5de5\u4f5c\u7684\u3002\u6211\u7684\u7b56\u7565\u662f\u6bcf\u5468\u4f11\u606f\u4e00\u5929\uff0c\u5176\u4ed6\u65e5\u5b50\u90fd\u5de5\u4f5c\uff0c\u5230\u665a\u4e0a10 \u70b9\u6216 11 \u70b9\u5de6\u53f3\u3002\u786e\u4fdd\u7761\u7720\u5145\u8db3\uff0c\u4e14\u6bcf\u5468\u81f3\u5c11\u953b\u70bc3\u6b21\u3002<\/p>\n<\/li>\n<li>\n<p>\u5173\u4e8e\u63a8\u5e7f\u5ba3\u4f20\uff0c\u5f88\u591a\u7814\u7a76\u8005\u505a\u5f97\u8fd8\u8fdc\u8fdc\u4e0d\u591f\u3002\u8d1d\u5c14\u5b9e\u9a8c\u5ba4\u8457\u540d\u6570\u5b66\u5bb6Richard Hamming\u7684\u5efa\u8bae\u662f\uff0c\u5e94\u8be5\u82b1\u4e0e\u5b9e\u9645\u5de5\u4f5c\uff08\u505a\u5b9e\u9a8c\u5199\u8bba\u6587\uff09\u4e00\u6837\u591a\u7684\u65f6\u95f4\u6765\u505a\u5ba3\u4f20\u3002<\/p>\n<\/li>\n<\/ul>\n<h2><strong>\u534e\u5c14\u8857\u4e4b\u68a6\uff0c<\/strong><strong>\u4ece\u94f6\u884c\u5bb6\u5230\u795e\u7ecf\u7f51\u7edc<\/strong><\/h2>\n<p><strong>Q\uff1a<\/strong>\u80fd\u63cf\u8ff0\u4e0b\u4f60\u65e9\u5e74\u7684\u751f\u6d3b\u548c\u6210\u957f\u7ecf\u5386\uff0c\u4ece\u4f55\u65f6\u5f00\u59cb\u63a5\u89e6\u79d1\u7814\u7684\u5462\uff1f<\/p>\n<p><strong>A\uff1a<\/strong>\u65e9\u5e74\u6211\u5728\u5f17\u5409\u5c3c\u4e9a\u5dde\u7684\uff08\u5c0f\u9547\uff09\u4e0a\u957f\u5927\uff0c\u4e0a\u7684\u516c\u7acb\u5c0f\u5b66\uff0c\u4f46\u8003\u4e0a\u4e86\u4e00\u6240\u5f88\u6709\u7ade\u4e89\u529b\u7684\u9ad8\u4e2d\uff0c\u4e5f\u5c31\u662fThomas Jefferson\u4e2d\u5b66\uff0c\u90a3\u662f\u4e00\u6240\u4f60\u5fc5\u987b\u53c2\u52a0\u8003\u8bd5\u624d\u80fd\u88ab\u5f55\u53d6\u7684\u5b66\u6821\uff0c\u5b66\u751fSAT \u7684\u5e73\u5747\u6210\u7ee9\u975e\u5e38\u9ad8\u3002<\/p>\n<\/p>\n<p>\u4f4d\u4e8e\u5f17\u5409\u5c3c\u4e9a\u5dde\u7684\u6258\u9a6c\u65af\u6770\u5f17\u900a\u79d1\u6280\u4e2d\u5b66\uff08Thomas Jefferson High School for Science and Technology\uff09\uff0c\u4eab\u6709\u201c\u5168\u7f8e\u7b2c\u4e00\u516c\u7acb\u9ad8\u4e2d\u201d\u7684\u7f8e\u8a89\uff0c\u5168\u7f8e\u6392\u540d\u524d2%<\/p>\n<p>\u5b66\u6821\u91cc\u7684\u540c\u5b66\u90fd\u5f88\u62d4\u5c16\uff0c\u9ad8\u4e2d\u51e0\u4e4e\u662f\u6211\u4eba\u751f\u4e2d\u6700\u52aa\u529b\u7684\u9636\u6bb5\uff0c\u57fa\u672c\u4e0a\u6211\u5728\u90a3\u91cc\u5b66\u5230\u7684\u6700\u4e3b\u8981\u7684\u4e1c\u897f\u5c31\u662f\u8981\u300c\u5168\u529b\u62fc\u640f\u300dwork hard\u3002\u5927\u591a\u6570\u4eba\u8981\u4e48\u559c\u6b22\u6253\u6bd4\u8d5b\uff0c\u8981\u4e48\u559c\u6b22\u7814\u7a76\uff0c\u6211\u5c5e\u4e8e\u540e\u8005\uff0c\u4ece\u9ad8\u4e2d\u9636\u6bb5\u5c31\u5f00\u59cb\u505a\u7814\u7a76\u4e86\u3002\u6700\u521d\uff0c\u6211\u5728\u7f8e\u56fd\u6d77\u519b\u7814\u7a76\u5b9e\u9a8c\u5ba4\uff08Naval Research Lab\uff0c\u7b80\u79f0NRL\uff09\u505a\u4e86\u4e00\u4e9b\u5316\u5b66\u76f8\u5173\u7684\u7814\u7a76\u3002\u5f53\u65f6\u63a5\u89e6\u7814\u7a76\u7684\u673a\u4f1a\u8fd8\u5f88\u5c11\uff0c\u4f46\u6211\u4f1a\u5c3d\u53ef\u80fd\u6293\u4f4f\u673a\u4f1a\u3002\u5f53\u7136\uff0c\u6211\u73b0\u5728\u4e0d\u518d\u4ece\u4e8b\u5316\u5b66\u7814\u7a76\u4e86\u3002<\/p>\n<p><strong>Q\uff1a<\/strong>\u65e9\u671f\u7684\u5316\u5b66\u7814\u7a76\u5728\u65b9\u6cd5\u8bba\u6216\u601d\u7ef4\u65b9\u5f0f\u4e0a\u5f71\u54cd\u4e86\u4f60\u540e\u6765\u7684\u5de5\u4f5c\u5417\uff1f<\/p>\n<p><strong>A\uff1a<\/strong>\u5b83\u6559\u4f1a\u4e86\u6211\u4f55\u4e3a\u7814\u7a76\u7684\u672c\u8d28\uff0c\u4ee5\u53ca\u5982\u4f55\u63d0\u51fa\u4e25\u683c\u7684\u5047\u8bbe\u5e76\u8fdb\u884c\u6d4b\u8bd5\u3002<\/p>\n<p><strong>Q\uff1a<\/strong>\u4e86\u89e3\u5230\u4f60\u6700\u521d\u7684\u68a6\u60f3\u662f\u6210\u4e3a\u4e00\u540d\u534e\u5c14\u8857\u94f6\u884c\u5bb6\uff0c\u8fd9\u4e2a\u68a6\u60f3\u540e\u6765\u53d1\u751f\u4e86\u54ea\u4e9b\u53d8\u5316\uff1f<\/p>\n<p><strong>A\uff1a<\/strong>\u5bf9\uff0c\u8fc7\u53bb\u6211\u4eec\u5e38\u8bf4\u7f8e\u56fd\u68a6\uff08American dream\uff09\u3002\u57fa\u672c\u4e0a\uff0c\u5bf9\u4e8e\u5f53\u65f6\u7684\u8bb8\u591a\u534e\u4eba\u5bb6\u5ead\u6765\u8bf4\uff0c\u7f8e\u56fd\u68a6\u5c31\u662f\u8ba9\u4f60\u7684\u5b69\u5b50\u53bb\u8bfb\u5e38\u6625\u85e4\u76df\u6821\uff0c\u5728\u534e\u5c14\u8857\u8c0b\u6c42\u4e00\u4efd\u4f53\u9762\u7684\u5de5\u4f5c\uff0c\u8d5a\u5f88\u591a\u94b1\u3002\u6211\u53bb\u4e86\u8fbe\u7279\u8305\u65af\uff0c\u5b83\u662f\u6bd4\u8f83\u4f4e\u8c03\u7684\u5e38\u6625\u85e4\u76df\u6821\uff0c\u8fbe\u7279\u8305\u65af\u672c\u8eab\u548c\u534e\u5c14\u8857\u6709\u5f88\u5bc6\u5207\u7684\u8054\u7cfb\uff0c\u5468\u56f4\u6240\u6709\u4eba\u90fd\u5728\u5377\u91d1\u878d\u53bb\u6295\u884c\uff0c\u800c\u6211\u5927\u4e00\u65f6\u6ca1\u6709\u5f97\u5230\u91d1\u878d\u65b9\u9762\u5b9e\u4e60\u7684\u673a\u4f1a\uff0c\u8fd9\u5c31\u6709\u70b9\u50cf\u504f\u79bb\u4e86\u8f68\u9053\u3002\u6b63\u597d\u6211\u6bcd\u4eb2\u6709\u4e00\u4e2a\u670b\u53cb\u5728\u505a\u4eba\u5de5\u667a\u80fd\u521d\u521b\u516c\u53f8\u3002\u6211\u8054\u7cfb\u4e0a\u4e86\u4ed6\uff0c\u4e8e\u662f\u51b3\u5b9a\u5c1d\u8bd5\u4e0b\u505aAI\uff0c\u56e0\u6b64\u6211\u6210\u4e3a\u4e86\u670b\u53cb\u5708\u5f53\u4e2d\u552f\u4e00\u4e00\u4e2a\u4ece\u4e8b\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u7684\u4eba\uff0c\u6709\u70b9\u5b64\u5355\u3002<\/p>\n<p>\uff08\u7f16\u8005\u6ce8\uff1a\u7f8e\u56fd\u68a6\u901a\u5e38\u4ee3\u8868\u7ecf\u6d4e\u4e0a\u7684\u6210\u529f\u6216\u662f\u4f01\u4e1a\u5bb6\u7684\u7cbe\u795e\u3002\u5386\u53f2\u5b66\u8005\u4e9a\u5f53\u65af\u57281931\u5e74\u5c06\u201c\u7f8e\u56fd\u68a6\u201d\u5b9a\u4e49\u4e3a\uff0c\u201c\u65e0\u8bba\u6bcf\u4e2a\u4eba\u7684\u793e\u4f1a\u9636\u5c42\u6216\u51fa\u751f\u73af\u5883\u5982\u4f55\uff0c\u751f\u6d3b\u90fd\u5e94\u8be5\u53d8\u5f97\u66f4\u597d\uff0c\u66f4\u4e30\u5bcc\uff0c\u66f4\u4e30\u88d5\uff0c\u6bcf\u4e2a\u4eba\u90fd\u6709\u673a\u4f1a\u6839\u636e\u80fd\u529b\u6216\u6210\u5c31\u800c\u5b9a\u201d\u3002\uff09 <\/p>\n<\/p>\n<p><strong>Q\uff1a<\/strong>\u80fd\u5206\u4eab\u66f4\u591a\u5728\u8fbe\u7279\u8305\u65af\u5927\u5b66\u751f\u6d3b\u7684\u7ecf\u5386\u548c\u8f76\u4e8b\u5417\uff1f<\/p>\n<p><strong>A\uff1a<\/strong>\u8fbe\u7279\u8305\u65af\u867d\u7136\u662f\u6392\u540d\u524d100\u7684\u5b66\u6821\uff0c\u4f46\u6ca1\u6709\u5f88\u591a\u4ece\u4e8bAI\u7814\u7a76\u7684\u6559\u6388\u3002\u5f53\u65f6\u6b63\u597d\u6709\u4e00\u4e2a\u673a\u4f1a\u505a\u533b\u5b66\u56fe\u50cf\u6570\u636e\u5904\u7406\uff0c\u4e8e\u662f\u6211\u57282019\u5e74\u521b\u5efa\u4e86\u7b2c\u4e00\u4e2a\u53ef\u4ee5\u5bf9\u80ba\u764c\u8fdb\u884c\u5206\u7c7b\u7684\u795e\u7ecf\u7f51\u7edc\u3002\u8fd9\u4e5f\u662f\u6211\u8bd5\u56fe\u53d1\u8868\u7684\u4e00\u7bc7\u8bba\u6587\uff0c\u5728\u8bba\u6587\u88ab\u63a5\u6536\u524d\u6211\u88ab\u62d2\u4e86\u516d\u6b21\u3002\u5f53\u65f6\u7684\u52a8\u673a\u53ea\u662f\u5355\u7eaf\u5730\u60f3\u53d1\u8868\u8bba\u6587\uff0c\u4e3a\u4e86\u7533\u8bf7\u535a\u58eb\u9879\u76ee\u3002\u5728\u8fbe\u7279\u8305\u65af\u671f\u95f4\uff0c\u6211\u4e5f\u66fe\u7ecf\u524d\u5f80\u4e39\u9ea6\u4ea4\u6362\u3002<\/p>\n<p><strong>Q\uff1a<\/strong>\u8c08\u8c08\u4f60\u6700\u559c\u6b22\u7684\u5bfc\u5e08\u4ee5\u53ca\u5bf9\u4f60\u5f71\u54cd\u6700\u5927\u7684\u4eba\u5417\uff1f<\/p>\n<p><strong>A\uff1a<\/strong>\u6211\u7684\u6821\u53cbSam Greydanus\uff0c\u4ed6\u6bd4\u6211\u5927\u4e09\u5c81\uff0c\u6211\u4eec\u5927\u6982\u4ea4\u6d41\u8fc7\u4e94\u6b21\u3002\u4ed6\u662f\u5728\u8fbe\u7279\u8305\u65af\u4e3a\u6570\u4e0d\u591a\u4ece\u4e8bAI\u7814\u7a76\u7684\u4eba\u4e4b\u4e00\uff0c\u548c\u6211\u4e00\u6837\u540e\u6765\u4e5f\u53bb\u4e86\u8c37\u6b4c\u7684AI Residency\u9879\u76ee\u505a\u51fa\u5f88\u591a\u4e0d\u9519\u7684\u5de5\u4f5c\u3002\u9274\u4e8e\u5f53\u65f6\u5728\u8fbe\u7279\u8305\u65afAI\u6c1b\u56f4\u5f88\u4e00\u822c\u7684\u60c5\u51b5\u4e0b\uff0c\u4ed6\u7684\u5b58\u5728\u8ba9\u6211\u9f13\u821e\u4eba\u5fc3\u3002\u4ed6\u7ed9\u5f53\u65f6\u4f5c\u4e3a\u673a\u5668\u5b66\u4e60\u201c\u65b0\u5b66\u5f92\u201d\u7684\u6211\u5199\u4e86\u4e00\u5c01\u957f\u90ae\u4ef6\uff0c\u5217\u51fa\u4e86\u5f88\u591a\u6709\u7528\u7684\u5efa\u8bae\uff0c\u6bd4\u5982\u9605\u8bfbArxiv\u3001\u7ecf\u5e38\u53d1\u5e03\u4ee3\u7801\u5e76\u64b0\u5199\u6709\u5173\u7814\u7a76\u7684\u535a\u5ba2\u6587\u7ae0\u3002\u5177\u4f53\u5efa\u8bae\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<p>\u55e8\uff0cJason\uff0c\u6211\u8bb0\u5f97\u4f60\uff0c\u5f88\u9ad8\u5174\u6536\u5230\u4f60\u7684\u6765\u4fe1\uff01\u5173\u4e8e\u5982\u4f55\u8fdb\u884c\u6df1\u5ea6\u5b66\u4e60\u7814\u7a76\uff0c\u6211\u6709\u4e00\u4e9b\uff08\u76f8\u5f53\u56fa\u6267\u5df1\u89c1\u7684\uff09\u5efa\u8bae\u3002\u8fd9\u662f\u4e00\u4e2a\u5217\u8868\uff08\u6309\u6700\u91cd\u8981\u7684\u5185\u5bb9\/\u534a\u65f6\u95f4\u987a\u5e8f\u6392\u5217\uff09\u3002<\/p>\n<p>1. \u9605\u8bfb Andrej Karpathy \u7684\u6240\u6709\u535a\u5ba2\u6587\u7ae0<\/p>\n<p>2. \u9605\u8bfb Chris Olah \u7684\u6240\u6709\u535a\u5ba2\u6587\u7ae0<\/p>\n<p>2.5 \u9605\u8bfb\u4f60\u611f\u5174\u8da3\u7684 Distill \u4e0a\u7684\u4efb\u4f55\u5e16\u5b50\u3002\u6216\u8005\u770b\u4e0b\u6211\u5217\u51fa\u7684\u5e16\u5b50(https:\/\/Qreydanus.qithub.io\/)<\/p>\n<p>3. \u4e5f\u8bb8 &#8211; \u53c2\u52a0\u50cf Andrew Ng \u7684 Coursera \u8bfe\u7a0b\u8fd9\u6837\u7684\u5728\u7ebf\u8bfe\u7a0b<\/p>\n<p>4. \u7edd\u5bf9 &#8211; \u4f7f\u7528 Jupyter Notebook\u3001NumPy \u548c PyTorch \u7f16\u5199\u7b80\u5355\u7684\u4e2a\u4eba\u9879\u76ee\u3002\u5f53\u4f60\u5b8c\u6210\u5b83\u4eec\u65f6 a) \u53d1\u5e03\u826f\u597d\u7684\u3001\u8bb0\u5f55\u826f\u597d\u7684\u4ee3\u7801\uff08\u53c2\u89c1\u6211\u7684 github\uff09 b) \u5199\u4e00\u7bc7\u5173\u4e8e\u4f60\u6240\u505a\u7684\u4e8b\u60c5\u7684\u7b80\u77ed\u535a\u5ba2\u6587\u7ae0\uff08\u53c2\u89c1\u6211\u7684\u535a\u5ba2\uff09<\/p>\n<p>5. \u4e0b\u8f7dArx\u5e94\u7528\u7a0b\u5e8f\uff0c\u6d4f\u89c8 Arxiv\uff08\u673a\u5668\u5b66\u4e60\u9884\u5370\u672c\u7684\u5728\u7ebf\u5b58\u50a8\u5e93\uff09\u4e0a\u7684\u8bba\u6587\u3002\u6bcf\u5929\u5de6\u53f3\u5728\u901a\u52e4\u9014\u4e2d\u68c0\u67e5\u4e00\u4e0b\u3002\u9075\u5faa cs.LG\u3001cs.NE \u548c stat.ML \u6807\u7b7e\u3002\u53e6\u5916\uff0c\u8bf7\u4e3a\u4ee5\u4e0b\u4f5c\u8005\u52a0\u6ce8\u661f\u6807\uff1aYoshua Bengio\u3001Yann LeCunn\u3001Geoffery Hinton\u3001Jason Yosinski\u3001David Duvenaud\u3001Andrej Karpathy\u3001Pieter Abbeel\u3001Quoc Lee\u3001Alex Graves\u3001Koray Kavukcuoglu\u3001Gabor Melis\u3001Oriol Vinyals\u3001Jasch Sohl-Dickstein\u3001Ian Goodfellow \u548cAdam Santoro\u3002\u5982\u679c\u53ca\u65f6\u4e86\u89e3\u4ed6\u4eec\u4e0a\u4f20\u7684\u8bba\u6587\uff0c\u5e76\u6d4f\u89c8\u6211\u63d0\u5230\u7684\u4e09\u4e2a\u7c7b\u522b\u4e2d\u8bba\u6587\u7684\u6807\u9898\/\u6458\u8981\uff0c\u5c31\u53ef\u4ee5\u5f88\u5feb\u5bf9 SOTA \u7814\u7a76\u6709\u4e00\u4e2a\u6709\u6548\u7684\u4e86\u89e3\u3002\u6216\u8005\uff1a\u5f00\u59cb\u6bcf\u5929\u6d4f\u89c8 Arxiv Sanity Preserver \u7684\u201c\u70ed\u95e8\u7092\u4f5c\u201d\u548c\u201c\u6700\u8fd1\u70ed\u95e8\u201d\u9009\u9879\u5361\u3002<\/p>\n<p>6. \u5f53\/\u5982\u679c\u4f60\u5f00\u59cb\u5728\u8fbe\u7279\u8305\u65af\u8fdb\u884c\u7814\u7a76\u65f6\uff0c\u8bf7\u786e\u4fdd\u6d89\u53ca\u6df1\u5ea6\u5b66\u4e60\u7684\u4e00\u4e9b\u5143\u7d20\u3002<\/p>\n<p>7. \u5982\u679c\u53ef\u4ee5\u5728 PyTorch \u548c TensorFlow \u4e4b\u95f4\u8fdb\u884c\u9009\u62e9\uff0c\u8bf7\u9009\u62e9 PyTorch\u3002\u4f60\u4f1a\u7ec8\u751f\u611f\u6fc0\u8fd9\u4e2a\u51b3\u5b9a\u3002<\/p>\n<p>8. \u503c\u5f97\u9605\u8bfb\u7684\u70ed\u95e8\u8bba\u6587\uff1aAlexNet \u8bba\u6587\u3001Alex Graves\u201c\u751f\u6210\u5e8f\u5217\u201d\u8bba\u6587\u3001Jason Yosinski\uff08\u4ed6\u662f\u4e00\u4f4d\u4f18\u79c0\u4f5c\u8005\uff09\u7684\u4efb\u4f55\u8bba\u6587\u3001\u795e\u7ecf\u56fe\u7075\u673a\u8bba\u6587\u3001DeepMind Atari \u8bba\u6587\uff0c\u4e5f\u8bb8\u8fd8\u6709 Goodfellow \u7684 GAN \u8bba\u6587\uff0c\u5c3d\u7ba1\u6211\u8fd8\u6ca1\u6709\u8bfb\u8fc7\u3002\u5982\u679c\u53ef\u4ee5\u7684\u8bdd\uff0c\u8fdc\u79bb GAN\u3002<\/p>\n<p>9. \u5728 ML \u9636\u6bb5\uff0c\u7b80\u5355\u95ee\u9898 + \u8d85\u7b80\u5355\u5b9e\u9a8c \u00bb \u5927\u578b\u3001\u591a GPU \u7684\u5de5\u4f5c\u3002\u6709\u5f88\u591a\u597d\u7684\u7814\u7a76\uff08\u4f8b\u5982\uff0c\u5230\u76ee\u524d\u4e3a\u6b62\u6211\u51e0\u4e4e\u6240\u6709\u7684\u5de5\u4f5c\uff09\u90fd\u53ef\u4ee5\u5728\u4e00\u53f0\u50cf\u6837\u7684 MacBook \u4e0a\u5b8c\u6210\u3002<\/p>\n<p>10. \u4e0d\u8981\u88ab\u8fd9\u4efd\u6e05\u5355\u6df9\u6ca1\u3002\u4f60\u53ef\u80fd\u4f1a\u627e\u5230\u66f4\u9002\u5408\u81ea\u5df1\u7684\u9053\u8def\u3002\u6211\u80fd\u7ed9\u51fa\u7684\u6700\u597d\u5efa\u8bae\u5c31\u662f\u91cd\u590dRichard Feynman\u7684\u5efa\u8bae\uff1a\u201c\u4ee5\u5c3d\u53ef\u80fd\u65e0\u7eaa\u5f8b\u3001\u65e0\u200d\u793c\u548c\u539f\u521b\u7684\u65b9\u5f0f\u52aa\u529b\u5b66\u4e60\u4f60\u6700\u611f\u5174\u8da3\u7684\u4e1c\u897f\u3002\u201d <\/p>\n<p><strong>Q\uff1a<\/strong>\u5728\u7814\u7a76\u9053\u8def\u4e0a\uff0c\u5173\u952e\u7684\u8f6c\u6298\u70b9\u3001\u5e78\u8fd0\u65f6\u523b\u8fd8\u6709\u54ea\u4e9b\uff1f<\/p>\n<p><strong>A\uff1a<\/strong>\u6700\u5e78\u8fd0\u7684\u65f6\u523b\u8fd8\u662f\u52a0\u5165\u8c37\u6b4cAI Residency\u9879\u76ee\uff0c\u8fd9\u4e2a\u9879\u76ee\u7684\u63a5\u6536\u7387\u5927\u6982\u662f1%\uff0c\u5e2e\u52a9\u6211\u76f4\u63a5\u8fdb\u5165\u5de5\u4e1a\u754c\u3002\u8fd9\u662f\u4e00\u4e2a\u4e3a\u671f 12 \u4e2a\u6708\u7684\u7814\u7a76\u9879\u76ee\uff0c\u53c2\u4e0e\u8005\u4e0d\u5fc5\u62e5\u6709\u535a\u58eb\u5b66\u4f4d\uff0c\u4f46\u4f60\u53ef\u4ee5\u4f5c\u4e3a\u7814\u7a76\u4eba\u5458\u8fdb\u884c\u7814\u7a76\u3002\u5982\u679c\u5728\u8fd9\u4e2a\u9879\u76ee\u4e2d\u8868\u73b0\u51fa\u8272\uff0c\u5c31\u53ef\u4ee5\u7559\u5728\u8c37\u6b4c\u62c5\u4efb\u957f\u671f\u7814\u7a76\u5458\u3002<\/p>\n<h2><strong>\u601d\u7ef4\u94feCoT\uff0c\u6765\u6e90\u4e8e\u6df1\u5ea6\u51a5\u60f3\uff0c<\/strong><strong>\u8ba9\u6a21\u578b\u6a21\u4eff\u4eba\u7c7b\u7684\u601d\u7ef4\u6d41\u52a8<\/strong><\/h2>\n<p><strong>Q\uff1a<\/strong>\u5728 Google Brain \u5de5\u4f5c\u611f\u89c9\u5982\u4f55\uff0c\u6bd4\u5982\u601d\u7ef4\u94fe\u7684\u9879\u76ee\uff0c\u662f\u4ec0\u4e48\u7ed9\u4e86\u4f60\u7075\u611f\uff1f<\/p>\n<p><strong>A\uff1a<\/strong>\u5728 2022 \u5e74\u4e4b\u524d\uff0c\u5728 Google Brain \u5de5\u4f5c\u88ab\u8ba4\u4e3a\u662f\u6700\u597d\u7684\u5de5\u4f5c\u4e4b\u4e00\uff0c\u5f53\u7136\u73b0\u5728\u4ecd\u7136\u5982\u6b64\u3002\u5728\u8c37\u6b4c\uff0c\u4f60\u6709\u5f88\u591a\u81ea\u7531\u548c\u8d44\u6e90\u53ef\u4ee5\u505a\u4efb\u4f55\u4f60\u60f3\u505a\u7684\u4e8b\u60c5\u3002\u8fd9\u76f8\u5f53\u7406\u60f3\u3002\u800c\u4e14\u4e5f\u53ef\u4ee5\u53d1\u8868\u5f88\u591a\u8bba\u6587\uff0c\u90fd\u4f1a\u7f72\u540d\uff0c\u4e5f\u9644\u5e26\u5f88\u591a\u8363\u8a89\u3002\u6211\u5728\u7684\u65f6\u671f\u6709\u70b9\u50cfAI\u7814\u7a76\u7684\u9ec4\u91d1\u65f6\u4ee3\uff0c\u6211\u975e\u5e38\u7231\u8c37\u6b4c\u3002 <\/p>\n<p><strong>Q\uff1a<\/strong>\u5173\u4e8e\u601d\u7ef4\u94fe\uff08Chain of Thought\uff09\uff0c\u4f60\u7ed9\u51fa\u7684\u5173\u952e\u8bcd\u662f\u51a5\u60f3\u3002\u80fd\u8be6\u7ec6\u8bf4\u660e\u4e00\u4e0b\u5417\uff1f<\/p>\n<p><strong>A\uff1a<\/strong>\u5bf9\uff0c\u6211\u5bf9\u51a5\u60f3\u5f88\u611f\u5174\u8da3\u3002\u51a5\u60f3\u7684\u4f5c\u7528\u662f\u89c2\u6d4b\u5230\u4f60\u5934\u8111\u4e2d\u51fa\u73b0\u7684\u6240\u6709\u60f3\u6cd5\uff0c\u6211\u79f0\u4e4b\u4e3a\u601d\u60f3\u6d41\uff08stream of thought\uff09\uff0c\u57fa\u672c\u4e0a\u5c31\u662f\u8fde\u7eed\u4e0d\u65ad\u6d41\u52a8\u7684\u601d\u60f3\uff0c\u4e3a\u6b64\u6211\u5199\u4e86\u4e00\u7bc7\u8bc4\u8bba\u6587\u7ae0Artificial stream of thought has non-trivial connections to consciousness\uff08https:\/\/jasonwei20.github.io\/files\/artificial_stream_of_thought.pdf\uff09\uff0c\u4f46\u5f53\u65f6\u6ca1\u6709\u53d7\u5230\u591a\u5c11\u5173\u6ce8\uff0c\u56e0\u4e3a\u6ca1\u6709\u5b9e\u9a8c\u6765\u8bc1\u660e\u3002<\/p>\n<p>\u5f88\u591a\u89c2\u70b9\u6587\u7ae0\u90fd\u8ba4\u4e3a\uff0c\u8bed\u8a00\u6a21\u578b\u53ef\u4ee5\u6709\u601d\u60f3\u6d41\uff0c\u4e5f\u6697\u793a\u7740\u610f\u8bc6\u7684\u5b58\u5728\u3002\u6211\u60f3\u5230\u53ef\u4ee5\u53c2\u8003\u4eba\u7c7b\u5982\u4f55\u89e3\u51b3\u6570\u5b66\u95ee\u9898\u7684\u8fc7\u7a0b\uff0c\u5728\u7ed9\u51fa\u95ee\u9898\u7684\u7b54\u6848\u4e4b\u524d\uff0c\u4eba\u7c7b\u6709\u4e00\u4e2a\u5185\u5728\u7684\u601d\u8003\u6d41\u7a0b\uff0c\u4e8e\u662f\u6211\u4ece\u6570\u5b66\u95ee\u9898\u51fa\u53d1\uff0c\u5c1d\u8bd5\u6539\u53d8prompt\uff0c\u53d1\u73b0\u4e86\u8bed\u8a00\u6a21\u578b\u4e5f\u53ef\u4ee5\u5177\u6709\u5185\u5728\u63a8\u7406\u80fd\u529b\uff08\u8981\u6c42\u6a21\u578b\u5728\u56de\u7b54\u4e4b\u524d\u8fdb\u884c\u4e00\u7cfb\u5217\u601d\u8003\u8fc7\u7a0b\uff0c\u4e5f\u5c31\u662f\u601d\u7ef4\u94fe\uff09\u3002\u8d77\u521d\u6548\u679c\u5e76\u4e0d\u597d\uff0c\u548c\u6a21\u578b\u5927\u5c0f\u6709\u5173\uff0c\u540e\u6765\u66f4\u52a0\u5f3a\u5927\u7684PalM\u51fa\u73b0\u4e86\uff0c\u6a21\u578b\u8d8a\u5927CoT\u53ef\u4ee5\u505a\u5f97\u66f4\u597d\u3002<\/p>\n<p>\u540e\u6765\u6211\u5c06\u8fd9\u79cd\u601d\u7ef4\u94fe\u7684\u6280\u5de7\u5ac1\u63a5\u5728\u89e3\u51b3\u5176\u4ed6\u7c7b\u578b\u7684\u95ee\u9898\u4e0a\uff0c\u4e5f\u8868\u73b0\u5f97\u5f88\u597d\u3002\u6280\u672f\u4e0a\u88ab\u79f0\u4e3a\u601d\u7ef4\u94fe\u7684\u539f\u56e0\u662f\uff0c\u601d\u60f3\u6d41\u66f4\u50cf\u662f\u6742\u4e71\u65e0\u7ae0\u5730\uff0c\u968f\u673a\u5728\u5934\u8111\u4e2d\u6d8c\u73b0\u7684\u4efb\u4f55\u4e1c\u897f\u3002\u800c\u601d\u7ef4\u94fe\u5219\u662f\u4e00\u4e2a\u66f4\u6709\u903b\u8f91\u6216\u7ec4\u7ec7\u6027\u8d28\u7684\u601d\u7ef4\u8fc7\u7a0b\u3002<\/p>\n<\/p>\n<p><strong>Q\uff1a<\/strong>\u8fd9\u79cd\u51a5\u60f3\u7684\u7075\u611f\u662f\u5426\u548c\u5b97\u6559\u6709\u5173\uff1f<\/p>\n<p><strong>A\uff1a<\/strong>\u4e0d\uff0c\u6211\u4e0d\u4fe1\u6559\uff0c\u4f46\u6211\u53d7\u5230\u4e86Sam Harris\u6240\u5199\u7684\u300aWaking up\u2014 A Guide to Spirituality Without Religion\u300b\u4e00\u4e66\u7684\u542f\u53d1\u3002\u8fd9\u5c31\u662f\u6211\u7684\u7075\u611f\u6765\u6e90\u3002<\/p>\n<p>\uff08\u7f16\u8005\u6ce8\uff1a\u300aWaking up\u300b\u4e00\u4e66\u4f5c\u8005\u4e3a\u7f8e\u56fd\u65e0\u795e\u8bba\u8005\u3001\u516c\u5171\u77e5\u8bc6\u5206\u5b50\u3001\u8111\u795e\u7ecf\u79d1\u5b66\u5bb6Sam Harris\uff0c\u8fd9\u672c\u4e66\u662f\u5199\u7ed9\u7f8e\u56fd\u4eba\u53e3\u767e\u5206\u4e4b\u4e8c\u5341\u7684\u201dspiritual but not religious\u201d\uff0c\u5373\u76f8\u4fe1\u7075\u6027\u7684\u5b58\u5728\uff0c\u4f46\u662f\u6ca1\u6709\u5b97\u6559\u4fe1\u4ef0\u7684\u4eba\u3002\u8be5\u4e66\u5f3a\u8c03\u5982\u4f55\u901a\u8fc7\u51a5\u60f3\u6d88\u9664\u4eba\u7c7b\u5bf9\u4e8e\u81ea\u6211\u7684\u5e7b\u8c61\uff0c\u8bd5\u56fe\u7528\u8111\u79d1\u5b66\u7814\u7a76\u3001\u601d\u60f3\u5b9e\u9a8c\u6765\u8bc1\u660e\uff1a1\uff09\u4eba\u7684\u601d\u7ef4\u6709\u66f4\u9ad8\u7ef4\u5ea6\u7684\u5b58\u5728\uff0c\u6211\u4eec\u8ba4\u4e3a\u7684\u81ea\u6211\u3001\u559c\u6012\u54c0\u4e50\u5176\u5b9e\u90fd\u662f\u865a\u5e7b\u7684\uff0c\u57fa\u672c\u5c31\u662f\u4f5b\u6559\u7684\u4e16\u754c\u89c2 2\uff09\u4eba\u53ef\u4ee5\u7c4d\u7531\u51a5\u60f3\u7ec3\u4e60\u6765\u8fbe\u5230\u7a7a\u6027\u7684\u4f53\u9a8c\uff09<\/p>\n<\/p>\n<p>\u300a\u89c9\u9192\uff1a\u901a\u5f80\u7075\u6027\u7684\u975e\u5b97\u6559\u6307\u5357\u300b\uff0cSam Harris\u8457\uff0c\u9605\u8bfb\u94fe\u63a5\uff1ahttps:\/\/www.amazon.com\/Waking-Up-Spirituality-Without-Religion\/dp\/1451636024<\/p>\n<p><strong>Q\uff1a<\/strong>\u5728\u8c37\u6b4c\uff0c\u4f60\u4e5f\u9886\u5bfc\u4e86finetuning\uff08\u5fae\u8c03\uff09\u9879\u76ee\uff0c\u8fd9\u9879\u5de5\u4f5c\u9762\u4e34\u54ea\u4e9b\u6311\u6218\uff1f<\/p>\n<p><strong>A\uff1a<\/strong>\u5bf9\u5f53\u65f6\u6211\u4eec\u53c2\u4e0e\u4e86FLAN\u9879\u76ee\uff0c\u90a3\u65f6\u6211\u4eec\u8fd8\u4e0d\u77e5\u9053\u5982\u4f55\u5bf9\u8bed\u8a00\u6a21\u578b\u505a\u5fae\u8c03\uff0c\u6240\u4ee5\u5f88\u96be\u9632\u6b62\u8fc7\u62df\u5408\u3002\u6211\u548c\u56e2\u961f\u4e0d\u5f97\u4e0d\u505a\u7684\u4e00\u4ef6\u4e8b\u5c31\u662f\u4e3a\u8fd9\u4e9b\u6a21\u578b\u624b\u52a8\u7f16\u5199\u6570\u767e\u6761\u4e0d\u540c\u7684\u6307\u4ee4\uff0c\u4ee5\u9632\u6b62\u6a21\u578b\u8fc7\u62df\u5408\u3002\u5176\u6b21\uff0c\u8981\u5f04\u6e05\u695a\u5b9e\u9a8c\u8bbe\u8ba1\u5e76\u6b63\u786e\u8fdb\u884c\u5b9e\u9a8c\uff0c\u5f53\u65f6\u5fae\u8c03\u7684\u8fd0\u7b97\u91cf\u5f88\u5927\u3002\u56e0\u6b64\u6211\u4eec\u5fc5\u987b\u505a\u51fa\u89c4\u5212\uff0c\u8fd0\u884c\u6d88\u878d\u5b9e\u9a8c\u7b49\u3002\u540c\u65f6\u4e5f\u8003\u8651\u8bbe\u8ba1\u5b9e\u9a8c\uff0c\u6765\u8bc4\u4f30\u96f6\u6837\u672c\u4efb\u52a1\u3002\u6211\u4eec\u7387\u5148\u5728 Google \u5185\u90e8\u5c1d\u8bd5\u5fae\u8c03\u5927\u8bed\u8a00\u6a21\u578b\u4ee5\u9075\u5faa\u6307\u4ee4\u3002 <\/p>\n<p><strong>Q\uff1a<\/strong>\u6240\u4ee5\u4f60\u4eec\u56e2\u961f\u662f\u6307\u4ee4\u5fae\u8c03\u7684\u5148\u9a71\uff1f<\/p>\n<p><strong>A\uff1a<\/strong>OpenAI\u5728\u6211\u4eec\u4e4b\u524d\u5c31\u505a\u8fc7\u4e00\u4e9b\u6307\u4ee4\u5fae\u8c03\u7684\u5de5\u4f5c\uff0c\u4f46\u4ed6\u4eec\u6ca1\u6709\u53d1\u8868\u76f8\u5173\u8bba\u6587\u3002\u6240\u4ee5\u6211\u4eec\u5e94\u8be5\u7b97\u662f\u7b2c\u4e00\u4e2a\u5728\u6b63\u5f0f\u8bba\u6587\u4e2d\u63d0\u51fa\u6307\u4ee4\u5fae\u8c03\uff08instruction tuning\uff0c\u539f\u6587\u94fe\u63a5\uff1ahttps:\/\/openreview.net\/forum?id=gEZrGCozdqR\uff09\u8fd9\u4e2a\u672f\u8bed\u7684\u56e2\u961f\u3002<\/p>\n<p><strong>Q\uff1a<\/strong>\u5e73\u65f6\u662f\u5982\u4f55\u7ec4\u7ec7\u56e2\u961f\uff0c\u4e0e\u6700\u806a\u660e\u7684\u4eba\u4e00\u8d77\u5f00\u5c55\u9879\u76ee\u7684\uff1f<\/p>\n<p><strong>A\uff1a<\/strong>\u5f53\u4f60\u4e0e\u771f\u6b63\u4f18\u79c0\u7684\u5408\u4f5c\u8005\u4e00\u8d77\u5de5\u4f5c\u65f6\uff0c\u4ed6\u4eec\u901a\u5e38\u6709\u975e\u5e38\u9ad8\u7684\u6807\u51c6\u3002\u4f60\u9700\u8981\u4e0d\u65ad\u5f3a\u8feb\u81ea\u5df1\u4e13\u6ce8\u5728\u91cd\u8981\u7684\u5de5\u4f5c\u4e0a\uff0c\u5e76\u62e5\u6709\u96c4\u5fc3\u52c3\u52c3\u7684\u68a6\u60f3\u3002\u548c\u4ed6\u4eec\u4e00\u8d77\u5de5\u4f5c\u65f6\uff0c\u6bcf\u5f53\u4f60\u5c55\u793a\u4e00\u4e2a\u6210\u679c\uff0c\u4ed6\u4eec\u90fd\u4f1a\u4e0d\u65ad\u5730\u95ee\uff0c\u6709\u4ec0\u4e48\u65b9\u6cd5\u53ef\u4ee5\u505a\u5f97\u6bd4\u8fd9\u4e2a\u7ed3\u679c\u66f4\u597d\u5417\uff1f\u4ed6\u4eec\u901a\u5e38\u4f1a\u4e0d\u65ad\u5730push\u4f60\u505a\u5f97\u66f4\u597d\u3002\u6bd4\u5982\u6211\u7684\u540c\u4e8bQuoc V. Le\u5c31\u7ecf\u5e38\u5bf9\u6211\u8bf4\uff0c\u5982\u679c\u4f60\u80fd\u7528\u5c0f10\u500d\u7684\u6a21\u578b\u6765\u5b9e\u73b0\u8fd9\u4e2a\u529f\u80fd\uff0c\u90a3\u5c31\u592a\u597d\u4e86\uff0c\u8fd9\u786e\u5b9e\u662f\u4e00\u4ef6\u5f88\u96be\u5b9e\u73b0\u7684\u4e8b\u60c5\u3002<\/p>\n<p><strong>Q\uff1a<\/strong>\u4f60\u4e5f\u5199\u4e86\u5f88\u591a\u5173\u4e8e\u6d8c\u73b0\u7684\u6587\u7ae0\uff0c\u6a21\u578b\u6700\u8ba9\u4f60\u5174\u594b\u7684\u6d8c\u73b0\u80fd\u529b\u662f\u4ec0\u4e48\uff1f<\/p>\n<p><strong>A\uff1a<\/strong>\u5176\u4e2d\u6709\u4e09\u7bc7\u6587\u7ae0\u4e2d\u63d0\u5230\u7684\u6d8c\u73b0\u80fd\u529b\u6700\u8ba9\u6211\u5174\u594b\u3002<\/p>\n<p>1) \u4e0a\u4e0b\u6587\u5b66\u4e60\uff08In-context learning\uff0chttps:\/\/arxiv.org\/abs\/2303.03846\uff09\u3002\u66f4\u5927\u7684\u8bed\u8a00\u6a21\u578b\u5b9e\u9645\u4e0a\u80fd\u8fdb\u884c\u201c\u771f\u6b63\u7684\u201d\u4e0a\u4e0b\u6587\u5b66\u4e60\uff0c\u5b83\u4eec\u80fd\u591f\u63a8\u7406\u8f93\u5165\u6807\u7b7e\u6620\u5c04\uff08input-label mappings\uff09\uff0c\u800c\u4e0d\u662f\u4ec5\u4ec5\u9075\u5faa\u683c\u5f0f\uff1b<\/p>\n<p>2) \u601d\u7ef4\u94fe\u63a8\u7406\uff0c\u5c24\u5176\u662f\u5206\u89e3\u3002\u56e0\u4e3a\u8fd9\u610f\u5473\u7740AI\u6709\u4e00\u5929\u53ef\u80fd\u80fd\u591f\u89e3\u51b3\u6781\u5177\u6311\u6218\u6027\u7684\u95ee\u9898\uff0c\u4f8b\u5982\u6c14\u5019\u53d8\u5316\uff1b<\/p>\n<p>3) U\u5f62\u7f29\u653e\uff08U-shape Scaling\uff1ahttps:\/\/arxiv.org\/abs\/2211.02011\uff09\u3002\u6709\u65f6\uff0c\u8bed\u8a00\u6a21\u578b\u4f1a\u968f\u7740\u89c4\u6a21\u7684\u6269\u5927\u800c\u53d8\u5f97\u66f4\u7cdf\uff0c\u4f60\u53ef\u80fd\u8ba4\u4e3a\u5b83\u4eec\u7684\u8868\u73b0\u4f1a\u6301\u7eed\u53d8\u5f97\u6108\u52a0\u7cdf\u7cd5\u3002\u4f46\u5982\u679c\u7ee7\u7eed\u6269\u5927\u89c4\u6a21\uff0c\u8fd9\u79cd\u8d8b\u52bf\u4f1a\u53d1\u751f\u6539\u53d8\u3002\u968f\u7740\u6a21\u578b\u89c4\u6a21\u6269\u5927\uff0c\u5176\u6027\u80fd\u5f00\u59cb\u53d8\u597d\u3002\u56e0\u6b64\u6574\u4f53\u53d8\u5316\u8d8b\u52bf\u5448\u73b0U\u5f62\u3002<\/p>\n<p><strong>Q\uff1a<\/strong>\u5982\u679c\u7ee7\u7eed\u6cbf\u7740\u8fd9\u6761\u8def\u8d70\u4e0b\u53bb\uff0c\u672a\u6765\u53ef\u80fd\u4f1a\u6d8c\u73b0\u4ec0\u4e48\u6837\u7684\u6a21\u578b\u80fd\u529b\uff1f<\/p>\n<p><strong>A\uff1a<\/strong>\u6211\u8ba4\u4e3a\u5982\u679c\u6a21\u578b\u80fd\u5177\u6709\u89c4\u5212\u80fd\u529b\u4f1a\u5f88\u6709\u8da3\u3002\u5982\u679c\u4f60\u95ee\u5b83\uff0c\u89e3\u51b3\u8fd9\u4e2a\u6570\u5b66\u95ee\u9898\u9700\u8981\u54ea5\u6b65\uff0c\u5b83\u5f88\u53ef\u80fd\u7b54\u4e0d\u4e0a\u6765\u3002\u53ef\u80fd\u5355\u72ec\u7684\u6b65\u9aa4\u80fd\u89e3\u51b3\u5f97\u597d\uff0c\u4f46\u6574\u4f53\u89c4\u5212\u5c31\u505a\u5f97\u5f88\u5dee\u3002\u6b64\u5916\u5c31\u662f\u66f4\u597d\u7684\u901a\u7528\u6027\u8868\u73b0\u3002\u5f53\u524d\u6700\u4e3b\u8981\u7684\u95ee\u9898\u662f\u6709\u65f6\u5019\u8bed\u8a00\u6a21\u578b\u4e0d\u592a\u53ef\u9760\uff0c\u5728\u67d0\u4e9b\u7528\u4f8b\u4e2d\u4f60\u65e0\u6cd5\u5b8c\u5168\u4fe1\u4efb\u5b83\uff0c\u53ea\u670990%\u6b63\u786e\u7387\u3002\u5982\u679c\u80fd\u8de8\u8fc7\u8fd9\u4e2a\u95e8\u69db\uff0c\u53ef\u80fd\u4f1a\u975e\u5e38\u6709\u7528\u3002 <\/p>\n<h2><strong>OpenAI\u7684\u6307\u9488\uff1a\u65e0\u4ed6\uff0c\u552f\u52aa\u529b\u5c14<\/strong><\/h2>\n<p><strong>Q\uff1a<\/strong>\u4f60\u662f\u5982\u4f55\u4ece Google Brain \u8fc7\u6e21\u5230OpenAI\u7684\uff1f\u4e0e\u5728 Google \u5de5\u4f5c\u76f8\u6bd4\uff0c\u5728 OpenAI \u5de5\u4f5c\u611f\u89c9\u5982\u4f55\uff1f\u4f60\u559c\u6b22\u90a3\u8fb9\u7684\u5de5\u4f5c\u6c1b\u56f4\u5417\uff1f<\/p>\n<p><strong>A\uff1a<\/strong>\u6211\u60f3\u4f53\u9a8c\u4e0b\u548c\u4e0d\u540c\u7684\u4eba\u4e00\u8d77\u5de5\u4f5c\uff0c\u786e\u5b9e\u6709\u5f88\u591a\u4eba\u4ece\u8c37\u6b4c\u79bb\u804c\u4e86\u3002\u5728OpenAI\u7684\u5de5\u4f5c\u8ba9\u4eba\u975e\u5e38\u5174\u594b\uff0c\u6240\u6709\u4eba\u90fd\u5bf9\u901a\u7528\u4eba\u5de5\u667a\u80fd (AGI) \u5145\u6ee1\u70ed\u60c5\u3002OpenAI \u7684\u5458\u5de5\u5de5\u4f5c\u975e\u5e38\u52aa\u529b\uff0c\u56e2\u961f\u4e5f\u5f88\u4e13\u6ce8\u3002\u4f60\u53ef\u4ee5\u81ea\u7531\u5730\u4ece\u4e8b\u81ea\u5df1\u60f3\u505a\u7684\u4e8b\u60c5\uff0c\u5f53\u7136\u5927\u90e8\u5206\u52a0\u5165OpenAI\u7684\u4eba\u90fd\u662f\u60f3\u53c2\u4e0e\u7814\u7a76\u4e00\u4e9b\u66f4\u5e9e\u5927\u7684\u4e8b\u9879\uff0c\u6210\u4e3aGPT\u8fd9\u6837\u9879\u76ee\u7684\u4e00\u5458\u3002<\/p>\n<\/p>\n<p><strong>Q\uff1a<\/strong>\u5728 OpenAI \u548c\u5728 Google \u5de5\u4f5c\u6700\u5927\u7684\u533a\u522b\u662f\u4ec0\u4e48\uff1f<\/p>\n<p><strong>A\uff1a<\/strong>\u8c37\u6b4c\u6700\u8fd1\u4e5f\u53d1\u751f\u4e86\u5f88\u5927\u7684\u53d8\u5316\u3002\u56e0\u6b64\u5f88\u96be\u8fdb\u884c\u540c\u7c7b\u6bd4\u8f83\u3002\u6700\u5927\u7684\u53d8\u5316\u5c31\u662f\u4ece\u6bcf\u4e2a\u4eba\u90fd\u505a\u81ea\u5df1\u7684\u7814\u7a76\u3001\u9009\u62e9\u9879\u76ee\u8f6c\u53d8\u4e3a\u5728\u6838\u5fc3\u76ee\u6807\u66f4\u7a81\u51fa\u7684\u5e9e\u5927\u56e2\u961f\u4e2d\u5de5\u4f5c\u3002OpenAI\u975e\u5e38\u4e13\u6ce8\u4e8e\u6784\u5efa AGI\uff0c\u5c24\u5176\u662f\u5b89\u5168\u7684 AGI\u3002<\/p>\n<p><strong>Q\uff1a<\/strong>\u4f60\u4e4b\u524d\u7684\u5de5\u4f5c\u548c\u76ee\u524dGPT-4\u4e00\u7c7b\u7684\u9879\u76ee\u8054\u7cfb\u5982\u4f55\uff1f<\/p>\n<p><strong>A\uff1a<\/strong>\u6211\u4ee5\u524d\u7814\u7a76\u8fc7\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff0c\u73b0\u5728\u6211\u4ecd\u7136\u7814\u7a76\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff0c\u5f88\u591a\u4e1c\u897f\u4ecd\u7136\u76f8\u5173\uff0c\u5305\u62ec\u524d\u9762\u63d0\u53ca\u6211\u4e3b\u5bfc\u7684\u4e24\u7bc7\u5de5\u4f5c\uff08Chain-of-Thought Prompting Elicits Reasoning in Large Language Models\uff0chttps:\/\/arxiv.org\/abs\/2201.11903\uff1bEmergent Abilities of Large Language Models\uff0chttps:\/\/openreview.net\/pdf?id=yzkSU5zdwD\uff09<\/p>\n<p>\u6211\u8fc7\u53bb\u5b66\u5230\u7684\u4e3b\u8981\u6280\u80fd\uff0c\u5176\u4e2d\u4e24\u4e2a\u6700\u91cd\u8981\u7684\u662f\u6ce8\u91cd\u4f18\u5148\u7ea7\u548c\u6c9f\u901a\u80fd\u529b\u3002\u6211\u8ba4\u4e3a\u8fd9\u4e24\u9879\u6280\u80fd\u4ecd\u7136\u975e\u5e38\u76f8\u5173\uff0c\u5373\u4f7f\u6211\u4e0d\u518d\u5199\u8bba\u6587\u4e86\u3002\u6211\u4ecd\u7136\u5728\u505a\u7814\u7a76\uff0c\u4f46\u5e76\u4e0d\u662f\u6211\u6240\u505a\u7684\u6240\u6709\u7814\u7a76\u90fd\u53d1\u8868\u4e86\u3002\u53e6\u5916\uff0cGPT-4\u7684\u5927\u90e8\u5206\u5de5\u4f5c\u662f\u5728\u6211\u52a0\u5165\u4e4b\u524d\u5c31\u5df2\u7ecf\u5b8c\u6210\u4e86\u7684\uff0c\u6211\u5728\u8bc4\u4f30\u65b9\u9762\u505a\u4e86\u4e00\u70b9\u8d21\u732e\u3002<\/p>\n<p><strong>Q\uff1a<\/strong>\u4f60\u81ea\u5df1\u7684\u77ed\u671f\u6216\u957f\u671f\u7814\u7a76\u76ee\u6807\u662f\u4ec0\u4e48\uff1f<\/p>\n<p><strong>A\uff1a<\/strong>\u957f\u671f\u76ee\u6807\u53ea\u662f\u6784\u5efa AGI\u3002\u6211\u8ba4\u4e3a\u6210\u4e3a\u6784\u5efa AGI \u7684\u4e00\u5458\u662f\u4e00\u4ef6\u975e\u5e38\u6df1\u523b\u548c\u4ee4\u4eba\u5174\u594b\u7684\u4e8b\u60c5\u3002<\/p>\n<p><strong>Q\uff1a<\/strong>\u6240\u4ee5AGI\u8fd8\u6709\u5f88\u957f\u7684\u8def\u8981\u8d70\u5bf9\u5417\uff1f<\/p>\n<p><strong>A\uff1a<\/strong>\u53d6\u51b3\u4e8e\u4f60\u5bf9\u957f\u7684\u5b9a\u4e49\u3002 <\/p>\n<p><strong>Q\uff1a<\/strong>\u6784\u5efaAGI\u8def\u5f84\u6709\u5f88\u591a\uff0c\u4f60\u5728\u6574\u4e2a\u65b9\u6848\u4e2dAGI\u9879\u76ee\u7684\u5de5\u4f5c\u5b9a\u4f4d\u662f\u4ec0\u4e48\uff1f<\/p>\n<p><strong>A\uff1a<\/strong>\u6211\u60f3\u8bf4\u8fd9\u662f\u4e00\u4e2a\u5f88\u96be\u56de\u7b54\u7684\u95ee\u9898\u3002\u6211\u4e0d\u77e5\u9053\u901a\u5f80AGI\u7684\u9053\u8def\u3002\u6211\u8ba4\u4e3a\u6211\u4e4b\u524d\u7684\u4e00\u4e9b\u5de5\u4f5c\u66f4\u52a0\u5173\u6ce8\u8bed\u8a00\u6a21\u578b\u53ef\u4ee5\u8fdb\u884c\u63a8\u7406\u7684\u4e8b\u5b9e\u3002\u800c\u4e14\uff0c\u5f53\u4f60\u6269\u5c55\u8bed\u8a00\u6a21\u578b\u65f6\uff0c\u4f60\u4f1a\u83b7\u5f97\u8fd9\u4e9b\u4f60\u53ef\u80fd\u610f\u60f3\u4e0d\u5230\u7684\u65b0\u5174\u80fd\u529b\u3002\u6211\u8ba4\u4e3a\u8fd9\u662f\u6211\u5728\u8c37\u6b4c\u671f\u95f4\u8bd5\u56fe\u63a8\u5e7f\u7684\u4e24\u4ef6\u4e8b\u3002<\/p>\n<p><strong>Q\uff1a<\/strong>\u5982\u4f55\u770b\u5f85\u4eba\u5de5\u667a\u80fd\u7684\u672a\u6765\u4ee5\u53ca\u4e2a\u4eba\u5728\u8be5\u9886\u57df\u672a\u6765\u7684\u7814\u7a76\u65b9\u5411\uff1f<\/p>\n<p><strong>A\uff1a<\/strong>\u6211\u4e00\u76f4\u5728\u601d\u8003\u7684\u4e00\u4ef6\u4e8b\u662f\u8bc4\u4f30\u3002\u5f88\u96be\u8fdb\u884c\u6a21\u578b\u8bc4\u4ef7\u7684\u539f\u56e0\u4e4b\u4e00\u662f\uff1a\u8bed\u8a00\u6a21\u578b\u53ef\u4ee5\u5b8c\u6210\u975e\u5e38\u5e7f\u6cdb\u7684\u4efb\u52a1\u3002\u5b83\u4eec\u751f\u6210\u8fd9\u4e9b\u975e\u5e38\u957f\u7684\u8865\u5168\u5185\u5bb9\uff0c\u751a\u81f3\u4eba\u7c7b\u4e5f\u9700\u8981\u5f88\u957f\u65f6\u95f4\u624d\u80fd\u9605\u8bfb\u3002\u901a\u5e38\u5bf9\u4e8e\u8fd9\u4e9b\u7c7b\u578b\u7684\u4efb\u52a1\u6765\u8bb2\uff0c\u6ca1\u6709\u660e\u786e\u7684\u5b9a\u4e49\u6765\u8bf4\u660e\u4ec0\u4e48\u6837\u624d\u662f\u5b8c\u7f8e\u7684\u5b9e\u73b0\u6548\u679c\u3002\u5728\u67d0\u79cd\u7a0b\u5ea6\u4e0a\uff0c\u8bc4\u4ef7\u6307\u6807\u662f\u7814\u7a76\u4eba\u5458\u6240\u8981\u4f18\u5316\u7684\u76ee\u6807\u51fd\u6570\u3002\u5982\u679c\u80fd\u6df1\u5165\u4e86\u89e3\u6a21\u578b\u7684\u884c\u4e3a\u548c\u5c40\u9650\u6027\uff0c\u5c31\u53ef\u4ee5\u66f4\u597d\u5730\u5f15\u5bfc\u7814\u7a76\u4eba\u5458\u505a\u51fa\u6b63\u786e\u7684\u4e8b\u60c5\u3002<\/p>\n<p><strong>Q\uff1a<\/strong>\u5173\u4e8e\u6d8c\u73b0\u80fd\u529b\uff0c\u672a\u6765\u7684\u75af\u72c2\u60f3\u8c61\u662f\u4ec0\u4e48\uff1f<\/p>\n<p><strong>A\uff1a<\/strong>\u6211\u89c9\u5f97\u672a\u6765\u91cd\u8981\u7684\u65b9\u5411\u5305\u62ec\uff0c\u66f4\u4e8b\u5b9e\u6027\u4e0d\u4f1a\u4ea7\u751f\u5e7b\u89c9\u7684\u8bed\u8a00\u6a21\u578b\uff0c\u53ef\u4ee5\u4f7f\u7528\u5de5\u5177\u4e0e\u4e16\u754c\u8fdb\u884c\u4ea4\u4e92\u7684\u591a\u6a21\u6001\u6a21\u578b\uff0c\u4ee5\u53ca\u4e00\u822c\u610f\u4e49\u4e0a\u66f4\u52a0\u5b89\u5168\u7684\u6a21\u578b\u3002<\/p>\n<p><strong>Q\uff1a<\/strong>\u5bf9\u4e8e\u60f3\u8981\u5728\u8fd9\u4e2a\u9886\u57df\u5f00\u5c55\u804c\u4e1a\u751f\u6daf\u7684\u4eba\u6765\u8bf4\uff0c\u4f60\u8ba4\u4e3a\u6700\u91cd\u8981\u7684\u5efa\u8bae\u662f\u4ec0\u4e48\uff1f<\/p>\n<p><strong>A\uff1a<\/strong>\u5de5\u4f5c\u771f\u7684\u8981\u975e\u5e38\u52aa\u529b\u3002\u4e0d\u4ec5\u6d89\u53ca\u7814\u7a76\u672c\u8eab\uff0c\u8fd8\u6d89\u53ca\u7814\u7a76\u5468\u671f\u7684\u6240\u6709\u90e8\u5206\uff0c\u4f8b\u5982\u9009\u62e9\u7814\u7a76\u8bfe\u9898\uff0c\u5e76\u5ba3\u4f20\u8fd9\u9879\u5de5\u4f5c\uff0c\u5e76\u4e14\u6211\u6709\u610f\u8bc6\u5730\u52aa\u529b\u4e0e\u90a3\u4e9b\u6211\u771f\u6b63\u94a6\u4f69\u5e76\u4e14\u80fd\u529b\u975e\u5e38\u5f3a\u7684\u4eba\u5408\u4f5c\u3002\u5728\u8c37\u6b4c\uff0c\u5bf9\u6211\u5f71\u54cd\u5f88\u5927\u7684\u4eba\u662f\u6211\u7684\u540c\u4e8bBarret 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