中国第一个统一王朝秦朝的历史，凝结在富丽堂皇的阿房宫和骊山陵墓里。而鲜为人知的是，阿房宫和骊山陵墓都曾因一个工程而暂缓修建，这就是从咸阳直通长城北部九原的秦直道。这条由秦始皇亲自主持修建的全长七百公里的秦直道，被誉为全人类历史上的第一条高速路。
赚钱是要付出代价的，越横的财，代价越大，对于这些人来说，他们的代价就是永远的背井离乡。
4. Referer Check
李修贤本片扮演贫民区出身的便衣刑警阿B，为人耿直，行事作风具争议性。他的搭档阿杰则是规距青年，富上进心。两人因为出身与个性不同，执勤时格格不入，但阿B办案的耐心负责态度让阿杰逐渐产生敬佩之感。黑仔是阿B童年好友，因贩毒杀人遭阿B通缉。阿B在追捕歹徒时误杀小童，心理受到莫大压力。阿杰给予友情开解，力促他一齐逮捕黑仔归案。不料阿杰竟在行动时被枪杀，令阿B对警察生涯不胜唏嘘。
Modify the above example 3.3. 3 event name to event_second
他总觉得事情有些蹊跷。
写实时装二十集的【夹心人】，男主角是郑少秋饰演的江居政，女主角是翁美玲饰演的董佩汶。时装模特儿，原是为了男友，不惜以感情作手段，换取商业情报，可是事成之后董佩玟的男友却抛弃了她。江居政对她处境同情，两人又重新开始一段恋情。 这是阿翁的第一部时装剧，观众口碑很好，翁美玲的扮相和演出，带给观众清新感觉。
网友们顿时议论纷纷。
3.10
阿德龙大酒店，一个家族传奇。这不仅是一部以阿德龙大酒店为背景的“编年史”，同时也是一部令人着迷感动的戏剧，讲述着两个家族四代人交错的命运——从第一代阿德龙大酒店的创建，到1997年第二代阿德龙大酒店正式开张的全过程。该剧以一个酒店住客索尼娅•沙特为线索人物串起了大酒店近百年的非凡传奇。
So the result is? 2
确定MC的Mnet《Queendom2》将于下月进行首次录制。
郎卓为梦想恋人佳铃买了一套阳光充裕的房子，郎卓期盼有一天远去上海的佳铃能够重新回到自己的身边。然而，郎卓却与女大学生叶繁相遇了。同因寂寥而相处的两人产生了情感，但两人觉得这种没有誓言的情感似乎不是爱情，郎卓依旧对暗恋的佳铃无法释怀。佳铃的突然归来使这段萌芽的爱情无疾而终了，痛楚的叶繁离开了朗卓的生活，许下愿望哪怕倾囊所有也愿意去换取佳铃的位置，哪怕只有一天也好。
某年轻女孩儿Coco与长胸不长脑子的闺蜜Zoe、Zoe男友Donald，Donald的好友、富二代Adam，还有宅男兼书呆子志彦五人组织自驾旅游；五人驾车朝云南出发。
Also, there is no extra money at all. It is good to be a personnel person. People with ability have been in charge for eight years. How many headhunters are rushing to send you money to inquire about all kinds of talents? She didn't. It is estimated that the relationship with all kinds of talents is not as good as that between earthworms and her colleagues.
拥有强大“脑洞原力”的少女叶木栖（李凯馨饰），与青梅竹马的全能少年廖丹奕（黄俊捷饰），这有着完全不同“宇宙体质”的两个人，却被命运再次绑定在一起，在满是“怪胎学渣”的高一十班，展开了神奇的校园之旅 。
因走私黄金军火之际遭人告发，国民党飞行员肖山投诚航校，却与杀父仇人刘雨林相遇。而情人胡丽雅的出现，更让肖山怀疑一切都是预谋……是敌是友，迷雾重重！航校突发“毒鱼事件”，肖山幸免。肖山负责“选飞”，故意淘汰刘雨林，引起群愤。姚斌遭遇杀手重伤身亡。
AI is in the current air outlet, so many people want to fish in troubled waters and get a piece of the action. However, many people may not even know what AI is. The connection and difference between AI, in-depth learning, machine learning, data mining and data analysis are also unclear. As a result, many training courses have sprung up, which cost a lot of money to teach demo and adjust the participants. They have taught you to study engineers quickly and deeply in one month, making a lot of money. We should abandon this kind of industry atmosphere! In my opinion, any AI training currently on the market is not worth attending! Don't give money to others, won't it hurt? -However, when everyone taught themselves, they did not know where to start. I got a lot of data, ran a lot of demo, reported a lot of cousera, adjusted the parameters, and looked at the good results of the model. I thought I had entered the door. Sorry, sorry, I spoke directly. Maybe you even sank the door. In my opinion, there are several levels of in-depth study of this area: (ignore the name you have chosen at random-)
