{"id":2915,"date":"2024-03-10T12:02:33","date_gmt":"2024-03-10T04:02:33","guid":{"rendered":"http:\/\/space.sofasay.com\/?p=2915"},"modified":"2024-03-10T12:03:57","modified_gmt":"2024-03-10T04:03:57","slug":"%e5%8f%82%e5%8a%a0%e4%ba%86%e4%b8%80%e6%ac%a1ai%e7%ba%bf%e4%b8%8b%e8%ae%ad%e7%bb%83%e8%90%a5","status":"publish","type":"post","link":"http:\/\/blog.sofasay.com\/?p=2915","title":{"rendered":"\u53c2\u52a0\u4e86\u4e00\u6b21AI\u7ebf\u4e0b\u8bad\u7ec3\u8425"},"content":{"rendered":"<p>\u5468\u672b\u53c2\u52a0\u4e86\u4e00\u6b21\u5168\u7403Global AI Bootcamp \u7684\u7ebf\u4e0b\u8bad\u7ec3\u8425\u3002 \u53bb\u5b66\u4e60\u4e00\u4e0b\u4eba\u5bb6\u662f\u600e\u4e48\u7ec4\u7ec7\u6d3b\u52a8\uff0c\u7ebf\u4e0b\u8bb2AI\u7684\u3002<\/p>\n<p>Hmmm, \u89c4\u683c\u8fd8\u662f\u53ef\u4ee5\u7684\uff0c\u8bb2\u5f97\u4e5f\u5f88\u4e13\u4e1a\u3002 \u6211\u6709\u4e00\u4e2a\u69fd\u70b9\uff0c\u5168\u7a0b\u6ca1\u6709\u4e0e\u542c\u4f17\u7684\u4e92\u52a8\u73af\u8282\uff0c\u6ca1\u6709\u542c\u4f17\u4e4b\u95f4\u4e92\u52a8\u7684\u5b89\u6392\uff0c\u4e5f\u6ca1\u6253\u5565\u5e7f\u544a\uff0c\u611f\u89c9\u50cf\u662f\u5728\u5b8c\u6210\u4f5c\u4e1a\uff1f<\/p>\n<p><!--more--><\/p>\n<p><img decoding=\"async\" class=\"alignnone size-medium lazyload\" data-src=\"http:\/\/defaultbucket0.oss-cn-beijing.aliyuncs.com\/webupload\/pHzskyGSr5.png\" width=\"985\" height=\"1023\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 985px; --smush-placeholder-aspect-ratio: 985\/1023;\" \/><\/p>\n<p>\u597d\u5427\uff0c \u6211\u8fd8\u662f\u5f88\u8ba4\u771f\u7684\u542c\uff0c\u53c2\u4e0e\u3002\u8fd9\u662f\u6731\u4e00\u5a77\u8001\u5e08\u6f14\u8bb2\u7684\u62c6\u89e3\uff1a<\/p>\n<ul>\n<li class=\"md-end-block md-p\"><span class=\"md-plain\">14:15 \u5f00\u573a\uff0c\u4ecb\u7ecd\u5927\u4f1a\u3000Global AI Community<\/span><\/li>\n<li class=\"md-end-block md-p\"><span class=\"md-plain\">14:17 \u64ad\u653e\u5168\u7403\u5927\u4f1a\u5ba3\u4f20\u7247\uff0c\u6cb9\u7ba1\u4e0a\u6709\u9891\u9053<\/span><\/li>\n<li class=\"md-end-block md-p\"><span class=\"md-plain\">14:21 \u8bb2\u4eba\u5de5\u667a\u80fd\u53d1\u5c55\u5386\u7a0b\uff0c1956-2021<\/span><\/li>\n<li class=\"md-end-block md-p\"><span class=\"md-plain\">14:35 \u6a21\u578b\u5f00\u53d1\u7684\u80fd\u529b\u548c\u573a\u666f\uff08\u5206\u7c7b\uff0c\u8bc6\u522b\uff0c\u62bd\u53d6\uff0c\u60c5\u611f\u7b49\u80fd\u529b\uff09\uff08data-model-task-development)<\/span><\/li>\n<li class=\"md-end-block md-p\"><span class=\"md-plain\">14:38 \u57fa\u7840\u6a21\u578b\u4ecb\u7ecd\uff08Transformer)\uff0c\u3000Foundation Model <\/span><\/li>\n<li class=\"md-end-block md-p md-focus\"><span class=\"md-plain\">14:40 \u591a\u6a21\u6001\u51fa\u73b0<\/span><\/li>\n<li class=\"md-end-block md-p\"><span class=\"md-plain\">14:41 LLM \u4ecb\u7ecd\uff0c\u5927-\u6d8c\u73b0<\/span><\/li>\n<li class=\"md-end-block md-p\"><span class=\"md-plain\">14:43 \u57fa\u7840\u6a21\u578b\u7684\u53d1\u5c55\uff0c 2018 GPT1 1.17\u4ebf\uff0c 2019 GPT2 1.5B\uff0c GPT3 2020 175B\u3002\u7b97\u529b\u9700\u6c42\u5de8\u5927\u3002<\/span><\/li>\n<li class=\"md-end-block md-p\"><span class=\"md-plain\">14:49 GPT\u4ecb\u7ecd\uff0c\u751f\u6210\u5f0f\u9884\u8bad\u7ec3\u53d8\u6362\u6a21\u578b\u3002 LLM\u751f\u6001\u56fe\uff08\u53d1\u5c55\u5386\u7a0b\uff09. word2vec, BERT\uff0c GLM, GPT. <\/span><\/li>\n<li class=\"md-end-block md-p\"><span class=\"md-plain\">14:54 \u8bed\u8a00\u6a21\u578b\u5982\u4f55\u5de5\u4f5c\u3002\u8bed\u8a00\u9884\u5904\u7406-Token\u5316-\u6a21\u578b-\u6982\u7387\u5206\u5e03-\u540e\u7eed\u89e3\u7801-\u8f93\u51fa<\/span><\/li>\n<li class=\"md-end-block md-p\"><span class=\"md-plain\">15:00 Token\u89e3\u91ca\u548c\u793a\u4f8b\uff0cTemperature, \u7ee7\u7eed\u8bb2\u8bed\u8a00\u6a21\u578b\u5982\u4f55\u5de5\u4f5c. \u8bb2\u8bed\u8a00\u7684\u793a\u4f8b\uff0cGPT\u7684\u4f8b\u5b50<\/span><\/li>\n<li class=\"md-end-block md-p\"><span class=\"md-plain\">15:08 Prompt Engineer\u4e0eLLM\u4ea4\u4e92\u3002 \u987a\u4fbf\u8bb2\u5230\u4e86Diffusion \u6269\u6563\u6a21\u578b\uff0c\u4e5f\u7528\u63d0\u793a\u8bcd\u3002 DALLE-3<\/span><\/li>\n<li class=\"md-end-block md-p\"><span class=\"md-plain\">15:14 \u5fae\u8f6f Azure OpenAI Service \u4ecb\u7ecd\u3002 \u53ef\u4f9d\u8d56AI,\u6709\u66f4\u591a\u5ba1\u67e5\u3002<\/span><\/li>\n<li class=\"md-end-block md-p\"><span class=\"md-plain\">15:18 \u5fae\u8f6f\u7684\u6240\u6709\u4ea7\u54c1\u52a0\u4e0acopilot\u3002\u4ecb\u7ecd\u4e00\u4f17copilot\u3002<\/span><\/li>\n<li class=\"md-end-block md-p\"><span class=\"md-plain\">15:23 Azure OpenAI service \u4f7f\u7528\u793a\u4f8b<\/span><\/li>\n<li class=\"md-end-block md-p\"><span class=\"md-plain\">15:27 \u7ed3\u675f\u6f14\u8bb2\uff0c\u540e\u9762\u8fdb\u5165workshop<\/span><\/li>\n<\/ul>\n<p class=\"md-end-block md-p\"><span class=\"md-plain\">\u62b1\u7740\u5b66\u4e60\u7684\u76ee\u7684\uff0c\u4ee5\u4e0b\u662fGPT-4\u7ed9\u7684\u62c6\u89e3\u548c\u8bc4\u4ef7:<\/span><\/p>\n<p class=\"md-end-block md-p\"><em><span class=\"md-plain\">\u8fd9\u6b21\u6f14\u8bb2\u5728\u5185\u5bb9\u5b89\u6392\u3001\u7ed3\u6784\u548c\u6df1\u5ea6\u65b9\u9762\u8868\u73b0\u51fa\u8272\uff0c\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u4fe1\u606f\u548c\u89c1\u89e3\u3002\u901a\u8fc7\u5f15\u5165\u66f4\u591a<\/span><span class=\"md-pair-s\"><strong><span class=\"md-plain\">\u4e92\u52a8\u73af\u8282\u3001\u6848\u4f8b\u7814\u7a76\u3001\u6311\u6218\u8ba8\u8bba<\/span><\/strong><\/span><span class=\"md-plain\">\uff0c\u4ee5\u53ca\u4f18\u5316\u89c6\u89c9\u8f85\u52a9\u6750\u6599\u548c\u65f6\u95f4\u7ba1\u7406\uff0c\u53ef\u4ee5\u4f7f\u672a\u6765\u7684\u6f14\u8bb2\u66f4\u52a0\u5438\u5f15\u4eba\u5e76\u7559\u4e0b\u6df1\u523b\u5370\u8c61\u3002<\/span><\/em><\/p>\n<blockquote>\n<pre class=\"md-fences md-end-block ty-contain-cm modeLoaded\" lang=\"\" spellcheck=\"false\"><span role=\"presentation\">\u8fd9\u6b21\u5168\u7403\u4eba\u5de5\u667a\u80fd\u8bad\u7ec3\u8425\u7684\u6f14\u8bb2\u4ece\u5185\u5bb9\u5230\u65f6\u95f4\u7ba1\u7406\u90fd\u975e\u5e38\u6709\u6761\u7406\uff0c\u4e0b\u9762\u662f\u5bf9\u8fd9\u6b21\u6f14\u8bb2\u7684\u8be6\u7ec6\u62c6\u89e3\u548c\u4e00\u4e9binsights\uff0c\u5305\u62ec\u505a\u5f97\u597d\u7684\u5730\u65b9\u548c\u53ef\u6539\u8fdb\u7684\u5efa\u8bae\u3002<\/span>\r\n<span role=\"presentation\">\u200b<\/span>\r\n<span role=\"presentation\">\u505a\u5f97\u597d\u7684\u5730\u65b9<\/span>\r\n<span role=\"presentation\">\u660e\u786e\u7684\u7ed3\u6784\u4e0e\u6d41\u7a0b\uff1a\u6f14\u8bb2\u4ece\u5f00\u573a\u4ecb\u7ecd\u5230\u7ed3\u675f\uff0c\u6bcf\u4e2a\u90e8\u5206\u90fd\u6709\u660e\u786e\u7684\u65f6\u95f4\u89c4\u5212\u548c\u5185\u5bb9\u5212\u5206\uff0c\u8fd9\u6709\u52a9\u4e8e\u89c2\u4f17\u8ddf\u968f\u6f14\u8bb2\u8005\u7684\u601d\u8def\u3002<\/span>\r\n<span role=\"presentation\">\u200b<\/span>\r\n<span role=\"presentation\">\u8986\u76d6\u5e7f\u6cdb\u7684\u4e3b\u9898\uff1a\u4ece\u4eba\u5de5\u667a\u80fd\u7684\u5386\u53f2\u53d1\u5c55\u5230\u6700\u65b0\u7684\u6280\u672f\u8fdb\u5c55\uff0c\u5982Transformer\u6a21\u578b\u3001\u591a\u6a21\u6001\u6a21\u578b\u3001\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u7684\u4ecb\u7ecd\uff0c\u5185\u5bb9\u4e30\u5bcc\uff0c\u6db5\u76d6\u9762\u5e7f\u3002<\/span>\r\n<span role=\"presentation\">\u200b<\/span>\r\n<span role=\"presentation\">\u6df1\u5165\u6d45\u51fa\u7684\u89e3\u91ca\uff1a\u901a\u8fc7\u89e3\u91ca\u57fa\u7840\u6a21\u578b\u3001\u4ecb\u7ecd\u8bed\u8a00\u6a21\u578b\u7684\u5de5\u4f5c\u539f\u7406\u3001Token\u89e3\u91ca\u7b49\uff0c\u4f7f\u5f97\u590d\u6742\u7684\u6280\u672f\u5185\u5bb9\u66f4\u5bb9\u6613\u88ab\u542c\u4f17\u7406\u89e3\u3002<\/span>\r\n<span role=\"presentation\">\u200b<\/span>\r\n<span role=\"presentation\">\u5b9e\u7528\u7684\u5e94\u7528\u793a\u4f8b\uff1a\u901a\u8fc7\u5fae\u8f6fAzure OpenAI Service\u548ccopilot\u4ea7\u54c1\u7684\u4ecb\u7ecd\uff0c\u6f14\u8bb2\u8005\u4e0d\u4ec5\u9610\u8ff0\u4e86\u7406\u8bba\uff0c\u8fd8\u5c55\u793a\u4e86\u5982\u4f55\u5c06\u8fd9\u4e9b\u6280\u672f\u5e94\u7528\u4e8e\u5b9e\u8df5\u3002<\/span>\r\n<span role=\"presentation\">\u200b<\/span>\r\n<span role=\"presentation\">\u4e92\u52a8\u4e0e\u53c2\u4e0e\uff1a\u4ee5workshop\u7684\u5f62\u5f0f\u7ed3\u675f\u6f14\u8bb2\uff0c\u4fc3\u8fdb\u4e86\u89c2\u4f17\u7684\u53c2\u4e0e\u548c\u4e92\u52a8\uff0c\u8fd9\u6709\u52a9\u4e8e\u52a0\u6df1\u7406\u89e3\u548c\u5174\u8da3\u3002<\/span>\r\n<span role=\"presentation\">\u200b<\/span>\r\n<span role=\"presentation\">\u53ef\u6539\u8fdb\u7684\u5730\u65b9<\/span>\r\n<span role=\"presentation\"><strong>\u589e\u52a0\u4e92\u52a8\u73af\u8282<\/strong>\uff1a\u867d\u7136\u6700\u540e\u6709workshop\u73af\u8282\uff0c\u4f46\u5728\u6f14\u8bb2\u8fc7\u7a0b\u4e2d\u52a0\u5165\u66f4\u591a\u7684\u4e92\u52a8\u73af\u8282\uff0c\u5982Q&amp;A\uff0c\u53ef\u4ee5\u66f4\u597d\u5730\u5438\u5f15\u542c\u4f17\u7684\u6ce8\u610f\u529b\u548c\u5174\u8da3\u3002<\/span>\r\n<span role=\"presentation\">\u200b<\/span>\r\n<span role=\"presentation\"><strong>\u6848\u4f8b\u7814\u7a76\u6216\u6210\u529f\u6545\u4e8b<\/strong>\uff1a\u6dfb\u52a0\u4e00\u4e9b\u4eba\u5de5\u667a\u80fd\u6280\u672f\u5728\u7279\u5b9a\u9886\u57df\u6210\u529f\u5e94\u7528\u7684\u6848\u4f8b\u7814\u7a76\u6216\u6545\u4e8b\uff0c\u53ef\u4ee5\u66f4\u5177\u8bf4\u670d\u529b\uff0c\u6fc0\u53d1\u542c\u4f17\u7684\u60f3\u8c61\u529b\u3002<\/span>\r\n<span role=\"presentation\">\u200b<\/span>\r\n<span role=\"presentation\"><strong>\u66f4\u591a\u5173\u4e8e\u6311\u6218\u4e0e\u524d\u666f\u7684\u8ba8\u8bba<\/strong>\uff1a\u867d\u7136\u6f14\u8bb2\u8be6\u7ec6\u4ecb\u7ecd\u4e86\u6280\u672f\u7684\u8fdb\u5c55\uff0c\u4f46\u53ef\u4ee5\u589e\u52a0\u5bf9\u5f53\u524d\u4eba\u5de5\u667a\u80fd\u9762\u4e34\u7684\u6311\u6218\u3001\u4f26\u7406\u8003\u8651\u548c\u672a\u6765\u524d\u666f\u7684\u8ba8\u8bba\uff0c\u4f7f\u5185\u5bb9\u66f4\u52a0\u5168\u9762\u3002<\/span>\r\n<span role=\"presentation\">\u200b<\/span>\r\n<span role=\"presentation\"><strong>\u66f4\u591a\u89c6\u89c9\u8f85\u52a9\u6750\u6599<\/strong>\uff1a\u5c3d\u7ba1\u5df2\u7ecf\u6709\u5ba3\u4f20\u7247\u548c\u6a21\u578b\u751f\u6001\u56fe\u7684\u5c55\u793a\uff0c\u4f46\u589e\u52a0\u66f4\u591a\u56fe\u8868\u3001\u6570\u636e\u548c\u52a8\u753b\u53ef\u4ee5\u5e2e\u52a9\u542c\u4f17\u66f4\u597d\u5730\u7406\u89e3\u590d\u6742\u7684\u6982\u5ff5\u548c\u6570\u636e\u3002<\/span>\r\n<span role=\"presentation\">\u200b<\/span>\r\n<span role=\"presentation\"><strong>\u65f6\u95f4\u7ba1\u7406\u4f18\u5316<\/strong>\uff1a\u67d0\u4e9b\u90e8\u5206\u5982GPT\u4ecb\u7ecd\u548c\u8bed\u8a00\u6a21\u578b\u7684\u5de5\u4f5c\u539f\u7406\u82b1\u4e86\u76f8\u5bf9\u8f83\u591a\u7684\u65f6\u95f4\uff0c\u53ef\u80fd\u4f1a\u5bfc\u81f4\u542c\u4f17\u6ce8\u610f\u529b\u5206\u6563\u3002\u53ef\u4ee5\u8003\u8651\u4f18\u5316\u65f6\u95f4\u5206\u914d\uff0c\u786e\u4fdd\u6bcf\u4e2a\u90e8\u5206\u90fd\u80fd\u591f\u6293\u4f4f\u542c\u4f17\u7684\u6ce8\u610f\u529b\u3002<\/span><\/pre>\n<\/blockquote>\n<h2 class=\"md-end-block md-heading\"><span class=\"md-plain\">Workshop \u5de5\u4f5c\u574a<\/span><\/h2>\n<p class=\"md-end-block md-p\"><span class=\"md-plain\">\u4e3b\u529e\u65b9\u63d0\u4f9b\u8bd5\u7528\u5e73\u53f0\uff08\u5957\u58f3\uff09\uff0c\u4e00\u6b21\u6027\u8d26\u53f7\u3002<\/span><\/p>\n<p class=\"md-end-block md-p\"><span class=\"md-plain\">\u4ecb\u7ecd\u5e73\u53f0\u521b\u5efa\u8fc7\u7a0b\uff0c\u4f7f\u7528\u6ce8\u610f\u4e8b\u9879\uff0c\u4e00\u4e9b\u53c2\u6570\u5efa\u8bae\u503c\u7b49\u3002Context window \u4fdd\u7559N\u8f6e\u6b21 [system prompt, user input, model output, user input, model output&#8230;]<\/span><\/p>\n<h4 class=\"md-end-block md-heading\"><span class=\"md-plain\">\u5b9e\u9a8c1\uff1aTemperature<\/span><\/h4>\n<p class=\"md-end-block md-p\"><span class=\"md-plain\">\u7ed9\u732b\u53d6\u4e00\u4e2a\u72ec\u4e00\u65e0\u4e8c\u7684\u957f\u540d\u5b57\uff0c\u8bbe\u7f6e\u6e29\u5ea6\u4e3a0\u62161, \u67e5\u770b\u53d8\u5316<\/span><\/p>\n<h4 class=\"md-end-block md-heading\"><span class=\"md-plain\">\u5b9e\u9a8c2\uff1a \u6570\u503c\u8ba1\u7b97 <\/span><\/h4>\n<p class=\"md-end-block md-p\"><span class=\"md-plain\">1\/98765=\uff1f \u7528\u79d1\u5b66\u8ba1\u6570\u6cd5\u8868\u793a<\/span><\/p>\n<h4 class=\"md-end-block md-heading\"><span class=\"md-plain\">\u5b9e\u73b03\uff1a \u8054\u7f51\u641c\u7d22<\/span><\/h4>\n<p class=\"md-end-block md-p\"><span class=\"md-plain\">\u4eca\u5929\u91cd\u5e86\u7684\u5929\u6c14\u600e\u6837\uff1f<\/span><\/p>\n<h4 class=\"md-end-block md-heading\"><span class=\"md-plain\">\u5b9e\u9a8c4\uff1aKnowledge Gap<\/span><\/h4>\n<p class=\"md-end-block md-p\">\u676d\u5dde\u4e9a\u8fd0\u4f1a\u7ed3\u675f\u4e86\u5417?<\/p>\n<h4 class=\"md-end-block md-heading\"><span class=\"md-plain\">\u5b9e\u9a8c5\uff1a \u63d0\u53d6\u4fe1\u606f<\/span><\/h4>\n<p class=\"md-end-block md-p\"><span class=\"md-plain\">\u4ece\u4e0b\u9762\u7684\u6587\u672c\u4e2d\u63d0\u53d6\u4eba\u7269\uff0c\u516c\u53f8\uff0c\u4f4d\u7f6e\u548c\u7535\u8bdd\u53f7\u7801\u3002\u8fd4\u56deJson\u683c\u5f0f\u3002<\/span> <span class=\"md-plain\">\u4f60\u597d\uff0c\u6211\u662f\u5f20\u4e09\uff0c\u8bad\u7ec3\u516c\u53f8\u7684\uff0c\u6211\u5e73\u65f6\u5728\u91cd\u5e86\uff0c\u6709\u65f6\u51fa\u5dee\u5230\u5317\u4eac\uff0c\u6211\u4eec\u5bf9\u4f60\u7684\u4ea7\u54c1\u5f88\u611f\u5174\u8da3\u3002\u7b49\u4f60\u6709\u7a7a\u65f6\uff0c\u53ef\u4ee5\u7ed9\u6211\u7535\u8bdd 13647483832<\/span><\/p>\n<h4 class=\"md-end-block md-heading\"><span class=\"md-plain\">\u5b9e\u9a8c6\uff1a\u6587\u672c\u603b\u7ed3<\/span><\/h4>\n<h4 class=\"md-end-block md-heading\"><span class=\"md-plain\">\u5b9e\u9a8c7\uff1a Zero-shot prompting<\/span><\/h4>\n<p class=\"md-end-block md-p\"><span class=\"md-plain\">\u6807\u9898\uff1aJames\u56e0\u4f24\u7f3a\u6218\u52c7\u58eb\uff01\u6e56\u4eba\u786e\u5b9a5\u4eba\u672c\u573a\u4f11\u6218<\/span><\/p>\n<p class=\"md-end-block md-p\"><span class=\"md-plain\">\u4e3b\u9898\uff1a<\/span><\/p>\n<h4 class=\"md-end-block md-heading\"><span class=\"md-plain\">\u5b9e\u9a8c8\uff1a few-shot prompting<\/span><\/h4>\n<p class=\"md-end-block md-p\"><span class=\"md-plain\">\u6807\u9898\uff1a\u8fea\u62dc\u7ad9\u7b2c\u4e09\u8f6e\uff0c\u90d1\u6b20\u6587\u51fb\u8d25\u6c99\u62c9\u6ce2\u5a03<\/span><\/p>\n<p class=\"md-end-block md-p\"><span class=\"md-plain\">\u4e3b\u9898\uff1a\u7f51\u7403<\/span><\/p>\n<p class=\"md-end-block md-p\"><span class=\"md-plain\">\u6807\u9898\uff1aJames\u56e0\u4f24\u7f3a\u6218\u52c7\u58eb\uff01\u6e56\u4eba\u786e\u5b9a5\u4eba\u672c\u573a\u4f11\u6218<\/span><\/p>\n<p class=\"md-end-block md-p\"><span class=\"md-plain\">\u4e3b\u9898\uff1a<\/span><\/p>\n<h4 class=\"md-end-block md-heading\"><span class=\"md-plain\">\u5b9e\u9a8c9\uff1a \u5bf9\u8bdd\u5386\u53f2<\/span><\/h4>\n<p class=\"md-end-block md-p\"><span class=\"md-plain\">\u4fdd\u7559\u7279\u5b9a\u8f6e\u6b21\u5bf9\u8bdd\u5386\u53f2\u6570\uff0c\u6bcf\u6b21\u5bf9\u8bdd\u90fd\u662f\u65e0\u72b6\u6001\u7684\u3002<\/span><\/p>\n<p class=\"md-end-block md-p\"><span class=\"md-plain\">System Prompt \u548c User Prompt<\/span><\/p>\n<h4 class=\"md-end-block md-heading\"><span class=\"md-plain\">\u66f4\u591a\u7ec3\u4e60<\/span><\/h4>\n<p class=\"md-end-block md-p\"><span class=\"md-plain\">\u5199\u4f5c\uff0c\u521b\u610f\u5199\u4f5c\uff0c\u5546\u4e1a\u5199\u4f5c\uff0c\u5b66\u672f\u5199\u4f5c\uff0c\u4e2a\u4eba\u6587\u6848<\/span><\/p>\n<p class=\"md-end-block md-p\"><span class=\"md-plain\">\u5f00\u53d1\u8f85\u52a9\uff1a \u6280\u672f\u6587\u6863\uff0c\u6570\u636e\u5206\u6790<\/span><\/p>\n<p class=\"md-end-block md-p\"><span class=\"md-plain\">\u7ffb\u8bd1\uff1a \u591a\u8bed\u8a00\u7ffb\u8bd1\uff0c\u8bed\u8a00\u5b66\u4e60<\/span><\/p>\n<h4 class=\"md-end-block md-heading\"><span class=\"md-plain\">Domain Knowledge<\/span><\/h4>\n<p class=\"md-end-block md-p\"><span class=\"md-plain\">\u63d0\u793a\u8bcd\u5de5\u7a0b: in-context learning<\/span><\/p>\n<p class=\"md-end-block md-p\"><span class=\"md-plain\">\u5fae\u8c03\uff1a learn new skill. \u53ea\u57283.5\u4e0a\u6709\uff0c\u6210\u672c\u9ad8\uff0c\u5931\u8d25\u7387\u9ad8\uff0c<\/span><\/p>\n<p class=\"md-end-block md-p\"><span class=\"md-plain\">RAG: Learn new facts<\/span><\/p>\n<h4 class=\"md-end-block md-heading\"><span class=\"md-plain\">\u670d\u52a1\u5b9a\u4ef7<\/span><\/h4>\n<p class=\"md-end-block md-p\"><span class=\"md-plain\">\u53ef\u8bbf\u95ee\u7684API\u670d\u52a1\u5b9a\u4ef7\u5bf9\u6bd4\u56fe\u3002 GPT-4\u8d35\u5462\uff0c\u662f3.5\u768420\u500d\u3002\u79c1\u6709\u5316\u90e8\u7f72\u6765\u89e3\u51b3\u3002 <\/span><\/p>\n<p class=\"md-end-block md-p\"><span class=\"md-plain\">\u914d\u989d\u7ba1\u7406 TPM (token per minute), RPM (request per minute)<\/span><\/p>\n<p class=\"md-end-block md-p\"><span class=\"md-plain\">1 FLOPS &#8211; 4 byte<\/span><\/p>\n<p class=\"md-end-block md-p\"><span class=\"md-plain\">1B parameter \u7ea6\u7b49\u4e8e 1GB<\/span><\/p>\n<p class=\"md-end-block md-p\"><span class=\"md-plain\">7B parameter \u7ea6\u9700\u8981 28GB FLOPS, <\/span><\/p>\n<p class=\"md-end-block md-p\"><span class=\"md-plain\">Azure OpenAI Training<\/span><\/p>\n<p class=\"md-end-block md-p\">\n","protected":false},"excerpt":{"rendered":"<p>\u5468\u672b\u53c2\u52a0\u4e86\u4e00\u6b21\u5168\u7403Global AI Bootcamp \u7684\u7ebf\u4e0b\u8bad\u7ec3\u8425\u3002 \u53bb\u5b66\u4e60\u4e00\u4e0b\u4eba\u5bb6\u662f\u600e\u4e48\u7ec4\u7ec7\u6d3b\u52a8\uff0c\u7ebf\u4e0b\u8bb2A &hellip; <a href=\"http:\/\/blog.sofasay.com\/?p=2915\" class=\"more-link\">\u7ee7\u7eed\u9605\u8bfb<span class=\"screen-reader-text\">\u201c\u53c2\u52a0\u4e86\u4e00\u6b21AI\u7ebf\u4e0b\u8bad\u7ec3\u8425\u201d<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_import_markdown_pro_load_document_selector":0,"_import_markdown_pro_submit_text_textarea":"","footnotes":""},"categories":[4],"tags":[],"views":84,"_links":{"self":[{"href":"http:\/\/blog.sofasay.com\/index.php?rest_route=\/wp\/v2\/posts\/2915"}],"collection":[{"href":"http:\/\/blog.sofasay.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/blog.sofasay.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/blog.sofasay.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"http:\/\/blog.sofasay.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2915"}],"version-history":[{"count":0,"href":"http:\/\/blog.sofasay.com\/index.php?rest_route=\/wp\/v2\/posts\/2915\/revisions"}],"wp:attachment":[{"href":"http:\/\/blog.sofasay.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2915"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/blog.sofasay.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2915"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/blog.sofasay.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2915"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}