{
  "text": "來,各位家人們,最近幾天,整個硅谷都被一款叫做Jill的模型刷屏了。\n然後呢,發布前三天已經被Wassel,Cloudflare,LongChang等主流平台迅速給集成了。\n這個模型有什麼特點呢?\n這款模型,它相比普通的模型推理速度,最高可以提升200倍,最高可以高到200倍。\n然後呢,這個成本可以降低,最高可以降到400倍。\n是一个非常非常恐怖的数字啊\n而且是可以组合的前沿之冷\n那么这种牛扮的东西到底是一个什么东西呢\n它会不会把open AI把这个Athrope给颠覆掉呢\n别张奇哈我们来认识一下\nJ5这个模型\n那么J5这个模型呢一句话来干口啊\nJ5呢是一个决策模型\n决策模型有什么特点呢\n它不生成文本\n不生成图片\n只做结果化判断输出概率\n也就是它只输出概率啊\n专门给agent的程序做高频快判断\n它是一个什么东西啊\n它其实是一个决策模型\n或者是一个判断模型\n它其实跟GPT跟Cloud\n跟GP9是有本质的区别的\nGPT这种模型呢\n其实是一个生成式模型\n生成文本\n生成图片\n但是GP呢只做决策\n它们是有本质的区别的\n所以它们之间并不是一个\n谁替代是这么一种关系\n还是一种互补的关系\n那么有种人讲\n现在是生成式的天下\n你这个东西有什么用呢\n这个生成式模型\nGPT\nCloat\n真来也可以做决策对吧\n你这个Jill有什么特点呢\n对不对\n凭什么这么招扬\n是吧\n也别着急\n他其实有非常非常多的场景\n我们稍后会来进行介绍\n那我们再来看一下\nJill这个模型到底是怎么来的\n这个模型呢\n其实是由\n前欧巴亚的研究员叫Digo\n他这个创办的TypeSafe AI公司\n在前几天发布的\n在9月15号发布的\n也前几天发布的\n那么这个创始人\n是非常非常厉害的一个人物\n他参与了ChairGPT的创造\n是一个非常非常有经验的\n这么一个大佬\n然后他自己呢\n就是说在创造完ChairGPT之后\n他一直在问自己一个问题\n就是说这些超人的聊天模型\n为什么没有带来这个AGI\n那过去的两年\n我一直在眼神\n抓大家做两件事情\n就是一种新的模型训练方法\n就是它提出了一种新的训练方法\n叫RLCD\n然后呢和一种新内心的情形配安模型\n就是JIL\n这个东西\n那\n好了那么重点再来介绍这个JIL\n那么JIL和这个一般的模型有什么区别呢\n那么一般的模型啊\n像这个GPT是什么呢\n竹子生成Token\n是自回归\n那么它是呢\n高延迟高成本\n就是你问它一个问题\n他呢就基于你这个问题\n这个问题就是一个提示词\n基于这个问题\n他一个一个的生成这个token\n把这个token拼在一起\n他其实就是一个完整的这个回答\n这么这样子来的\n可以生成文本\n可以生成逐变\n但只有这个模型呢\n他是一次效情计算\n直接输出判断概率\n他的特点是什么呢\n延迟极低成本极低\n记住啊\n延迟极低\n也就是说啊\n你给一个问题\n他基本上在500毫秒之内\n可以得到这个结果啊\n500毫秒之内其实是非常非常快的\n非常非常快啊\n那个说实话\n你像使用GPT\n那基本上几秒啊\n十几秒才得到这个结果\n对不对\n它的延迟极低\n500毫秒之内\n就可以得到这个结果\n成本极低啊\n我们后面会介绍的成本\n然后再来看一下啊\n这个东西怎么使用啊\n就是说你怎么去使用这个东西呢\n使用这个Jill这个模型呢\n使用Jill这个模型呢\n通常啊\n其实它是开放这个API给大家去使用\n就大家通常都是调这个API的方式啊\n去使用这个模型\n那么它呢\n主要提供两个东西\n第一个就是state\n这个什么东西呢\n大家可以把它看作是一个context\n一个上下文\n然后第二个就是问题\n就是开发者预先定义好的派对的任务\n主要是两个东西\n然后呢交给这个这个模型\n这个模型然后再发挥一个结果\n那发挥的结果会是个什么东西呢\n这个结果啊\n跟一般大模型还是有些区别的\n一般大模型呢\n其实是输出一个啊\n会输出一道文本\n对不对\n那它这里呢\n其实是输出一种强烈性的结构化JSON\n是一种强烈性的结构化JSON\n是一种JSON的文本\n啊\nJSON文本\n它不包含这个自然语言文本\n是一种纯JSON的文本\n大概是变形结构预测\n模型一次性返回所有概率\n也就是说你丢给它几个问题啊\n它是一次性给你返回所有的概率\n它是变形预测的\n第三个就是程序可以直接解析\n才是反过一个接测文本嘛\n是可以解析的\n所以我们总结来的话\n总结来这个这个这个这个模型\n它的输入就是state加预定的question\n然后呢输出一个回答对象\n是这样子\n好那么它的输出呢有三种类型啊\n第一种类型呢是no啊\n只有三种类型啊\n第一个是no啊\nno是一个概率类型\n这个类型有什么特点呢\n也就是不完类型判断\n它是返回0到1的伏点数\n数值代表成立概率\n无需单独设置置信度\n这段数字即为置信度\n好 我们来看一下\n就是它返回一个什么样的东西\n这里是它返回的一个结构的一个实例\n因为我先说过\n它其实是它的使用\n它使用的方式\n其实跟contract GPT\n跟GPT还是有些区别\n对吧\n通常是以结构的方式对外使用\n你直接给他一个\n你直接呢\n通过这个机构的方式提供这个task需要的内容\nstate和这个question\n然后他返回的是一个json的这样一个sultrime\n这个sultrime里面呢\n有两个重要的东西\n第一个就是类型\n类型就是no\n它是概率类型\n然后这个呢就是它的这个值\n0.95\n我们前面说过\n它这里是0到1的这么一个伏点数\n对不对\n那么这个0.9.5其实就是表示一个概率\n大家可以反而看作是一个概率\n那么这个时候同学就会问了\n这个这里有什么用呢\n对吧\n嗯反正0.95是吧\n其实场景是非常多的\n比如说\n检测用户退款对不对\n检测用户退款的话\n其实呢\n这个东西啊\n当然你用XenGPT其实也可以回答\n是不是\n你丢给一个啊\n就是用户的这个用户的信息啊\n直接给到这个GPT\n他也可以回答\n说这个用户到底会不会退款\n对不对\n但是呢其实呢\n那个东西有点什么\n有点这个杀鸡又牛肉的感觉\n其实这种需求呢\n其实有更简单的方式去实现\n就是所谓的Jell这种方式对吧\n那么检测用户退款请求\n这用户呢可能是一个信息发过来\n那么给到Jell这个模型\n那么Jell呢\n直接就回答一个概率就可以了\n比如说\n用户呢不会退款\n他就可能就返回给你\n对不对\n如果会退款\n那么就返回这个\n比如说0.9或者1就可以了\n对不对\n那么这样子其实非常方便的解决这个问题\n那么它这个\n它的成本会远远的低于这个\n用GPT来解决这个问题\n而且这个速度也会快很多\n它的这个延迟的时间是500毫秒\n它那个GPT那是几秒钟\n对不对\n所以它用它这种方式来解决\n这个问题的话\n其实是成本更低\n然后那速度呢更好\n是不是速度更快\n效率更高\n然後我們再來看第二個類型,就是Close類型。\n這個什麼意思呢?也就是說,我們在去提供上下文的時候,其實是會帶好幾個選項過去的。\n然后呢\n这个这个模型说到这个\n这个上下和和这个问题之后呢\n他会选择其中的一个来作为回答\n就是做选择题嘛\n就ABC第四个选项\n他选一个告诉你\n好那么其实这个呢\n就是他换回的结果\n假设他这个提供的选项\n有三个选项啊\n一个是binim\n这个是结算\n然后这个是技术\n然后是销售\n就是三百三个部门啊\n对吧\n然后这里面他会选一个\n他选择这个billion这个部门\n就他选一个\n你给他三个选项\n他选一个出来\n那这有时候这个东西\n哪里有这个场景多不多呢\n这个很多嘛\n对不对\n很多重要的场景\n比如说这个三件商品\n让他选一个\n是不是\n那其实这种场景是非常多的\n是不是\nOK我们来看一下\n这个关键\n只有关键的这个字段\n这个是truth\n就是概率最高的选项名称\n就这个\n就概率最高的\n他选一个出来\n就是ABCD四个选项\n他选一个出来\n他说不一定是ABCD四个选项\n他最多可以255个选项\n选项可以很多\n你把它列出来\n他会选一个出来\n然后这个呢\n就是概率的总和\n就是所有或选项的完整的概率分布\n那如果说是255个选项呢\n那么就会列出255个选项\n每一个选项的概率\n那么这个trose这里呢\n其实概念最高的那一个\n那么这个是confidence\n自信度啊\n模型对本次分类结果的自信度\n那么数值越高呢\n就分类呢越确定\n好那我们看一下这个自信度是0.8\n对吧这是比较高的\n是不是当然我们在进行\n决策的时候呢\n你可以跟这个自信度来进行\n评估哈\n就是如果自信度高于0.8\n或者说高于0.7\n我们就可以选择这样的一个结果\n就是所谓的决策模型的\n价值在这里面\n好让我们再看第三个啊\n就是score啊\n打分啊\n打个分数\n啊\n那么它的特点就是连续打分\n各级别概率分布啊\nconfidence 知性度\n我们来看一下这个结果啊\n那么\n通常它会去\n比如说你给它三个选项啊\n你给它一个问\n就是说你给给问\n给上下文给问题\n然后提供选项\n好那么它反而结果里面呢\n它就会对三个选项呢\n每个选项打一个分数\n我们来看一下啊\n好\n它的分数是\n非诊数打分值\n这个是I.86\n对不对\n知情度是0.94\n然后它提供了三个选项\n这三个选项\n评鉴\n轻微不满\n生气\n极度愤怒\n对吧\n好上面就是分数\n这个第一个评鉴\n就是0.0分\n就是不评鉴\n对吧\nOK\n这里是0.0爱\n这个轻微不满\n对应的分数是0.0爱\n然后这个是0.1\n好\n这个生气\n然后极度愤怒\n是年点88\n那么这个分数最高了\n对不对\n那如果说你是基于这个分数来进行\n啊\n决策的话\n那么你可能会选这个是不是\n啊\n这个其实就是对于\n多个选项\n进行打一个分数\n啊\n这个其实也是长期很多\n啊\n这个是\n呃\n我们的Jill这个模型啊\n它的\n返回结果的三个可能性\nOK啊\n三种结果\n好\n那么先怎么总结一下\nJill输出的关键的特性啊\n第二点就是\n年文本幻觉\n它输出结构是强制约定的\n宁格式错误\n不乱增自断\n然后是拼尿变形计算的\n一次请就变形处理所有\n然后校准级概念\n直接预计分支\n那么低分支可以人工复制\n它会有一个知性度给你\n然后输出你的费用\n它这个模型输出是不收费的\n你用它这个模型输出是不收费的\n而且输入的成本也是非常低\n它是我们使用\nGPT的成本大概就是100万Token\n对吧\n就一兆\n大概就是10美元\n10美元\n那么他这个\n大概就是100万\n大概就是0.0.4万美元\n就是他这个10美元\n他这个年纪年4万美元\n所以他的成本低很多\n那么也就是说\n我们在实际上面进行\n在做应用的时候呢\n那么其实就给了我们很多的选择\n有些场景其实并不完全需要\n由GPT或者说\nClose这种模型来进行处理\n我们完全可以把它交给什么\n交给我们的JP这种模型来处理\n对不对\n所以他们这其实是这样写的关系\n并不是说替代的关系\n并不是这样子\n好那么接下来我们给大家看一个案例\n就是到底它是怎么用的\n这个东西\n我们来看一下\n官网上面提供了一个案例\n我们直接来看到官网就可以了\n好吧\n就是汉缩入门\n大家可以到这个网站\n去看一下它的官网上面提供了一个案例\n那么当然首先呢\n我们需要去申请\n申请\n如果说你要使用的话\n你需要到它的控制台去申请一个API-KIT\n申请还是比较容易的\nOK\n然后得到一个接口之后呢\n你就可以来进行使用了\n好\n那么这里呢\n是CURL这个方式来去发行一个请求\n你需要提供的是一个API-K\n这是它的接口\n然后你提供哪些数据呢\n这个数据是State\n大家可以把State看作是上线文\nOK\n这个是它的上线文\n是在英文是吧\n我们把它翻译一下\n什么意思\nOK\n好\n这个上线文是这样子\n你好\n我已经尝试您借我的strip账户三天了\n但其实一直失败\n我的销售正在锦上\n请尽快帮我帮助我\n对吧\n这个东西\n这个内容应该是一个\n是一个street的客户是吧\n在在咨询对吧\n在向客户进行咨询啊\n或者说储藏\n储藏这么一个信息啊\nok\n好\n现在我们来看一下啊\n这个模型呢\n是Jill latest的这个模型\n然后问题是什么呢\n问题是这样子啊\n在下面啊\n这个是那个类型\n就是你希望用什么类型来回复你这个问题啊\n是no 是吧\n也就是给个概率就可以了\n我们看一下的问题是什么\n这个信息的紧迫度\n就是表达一下信息的紧迫度\n这个内容的紧迫度是什么样子\n对不对\n那么然后这个时候\n这个模型回复一个概率\n年到一这样的一个分值过来\n一个概率过来\n如果说这个值是一的话\n那么说明什么\n说明这个紧迫度是很高的\n对不对\n如果是0.95的话\n这个紧迫度也是很高的\n好\n然后我们再来看一下\n那其他的这种\n这个案例啊\n如果说我们是\n写代码掉结果\n那么我们自己在代码里面\n就要这样来写啊\n好\n那么同样的\n它的这个\n上下文还是这个啊\n还是这个来举例啊\n我们看一下它的模型\n是Jolatist\n好\n那么这个下面是问题啊\n它其实是什么呢\n呃\n它是它什么\n它其实是一个一个上下文\n它其实是问了三个问题啊\n问了三个问题\n其实用三种类型来问好\n这个是choose\nchoose ok\n这个呢就是它的问题\n哪一个团队呢\n来处理这样的一个事情\n对吧\n提供了三个选项\n这个是结算这个团队\n这个是技术这个团队\n这个销售这个团队\n这提供了三个选项\n因為我們說過,truth嘛,對不對?\n你是要大模型給你做選擇,所以你提供這個選項給他。\n像ABCD,做選擇題,是這樣子。\n好,我們看第二個,就是分數,score,使用這個類型來進行回答。\n回答好那么他是什么呢\n呃这个现在这个客户的这个什么啊\n失望度呢怎么样对吗啊啊\n什么怎么样啊OK\n他同样的提供了三个什么呢\n三种可能啊\n第一个呢就是冷静\n第二个呢是失望\n而第三个是非常生气\n就是你要根据什么\n根据这个上下文来去对于这三个描述进行打分\n打分\nOK好我们再看第三个啊\n第三个就是什么呢\n那Noah这种类型其实就是\n概率对吧是概率这个\n那么也就是说你的问题一定是跟概率相关的是吧\n这个信息它到底\n也表示了它多么紧迫对吧\nok 那么这个时候你回答一个概率就可以了\n好 我们再来看一下它的回答\n因为你这里是三个类型的问题对吧\n三个类型的问题\n所以它的回答也是三个类型的\n我们看choose\nchoose就是\n它首先要做出一个选择对吧\nABCD要选一个选一个选一个答案\n对不对啊\n但是结果是技术部门是吧\n技术部门来处理这个问题啊\n之前都是0.78啊\n然后当然他也会给三个选项呢\n每一个打一个分数啊\n我们看第二个第二个问题\n第二个问题是打分对吧\n打分啊打分的话\n他会对于三个情绪啊\n但见到打分那很明显啊\n这个呢呃\n第二个情绪他的这个分值是会高的\n也就是他当前的用户所表达这个情绪\n应该是这个是吧\n啊\n是这个\n这个情绪啊\n好我们看最后这个啊\n最后这个是要表\n要是输出一个概率是不是\n然后直接给了一个概率是不是\n这个最简单的啊\n一点点说明这个事情的紧迫度啊\n是非常非常大的\n对不对\n这个其实就是\nJayv这个模型啊\n使用的这个\n这样的一个方式啊\n其实就是掉接口\n然后呢\n啊\n接口里面呢\n需要描述你的这个问题\n其实需要提供一个上下文啊\n把你的这个情况给交代啊\n这个做用gp\n用chat gpt\ngpt或者glowd\n都是一样的\n要提供一个上下文对不对\n然后就是问题\n如果说是truth或者说score\n那么还需要提供这个选项\n啊OK\n那么结果呢\n就对方就会提供一个\n啊json的这样的一个结果化的\n一个字符传给到我们啊\n他这个时候\n大家就会问了\n这这东西到底有什么用对吧\n能用在哪个地方\n啊好像没有这个chat gpt\n这种这么方便\n什么都可以问\n然后他多给你一个回复\n是不是\n但其实这个场景是非常多的\n我们来看一下他的场景\n其实很多时候\n其实并不需要用GPT这种模型\n因为他成本太高了\n第一个就是成本高\n第二个就是什么\n就是他的延时太高了\n就是处理一个问题要好几秒\n他这个几百毫秒就能解决\n是不是\n所以我们这个时候来看一下\n他的场景\n第一个场景其实就是\n我们用在agent里面\n比如说浏览器与这个电脑的使用\n比如说什么\n识别这个页面状态\n判断下一个动作\n因为它的这个动作\n其实是有限的嘛\n对不对\n点击输入下拉对不对\n就哪怕我玩游戏也是一样的\n玩游戏它动作就那么点\n选项只有那么多\n对不对\n你可以把它选项全部列出来\n是不是\n列出来给它就可以了\n也就是说这种操作是有限的操作\n其实非常适合用J5这种模型来处理的\n还有智能工具路由\n对吧\n坚准选择工具\n搜索数据库邮件询问用户\n比如说安全降与分控\n就是高危操作前的快速的安全判断\n高频游戏\n说实话\n昨天我还用J5来去玩俄罗斯方块\n因为俄罗斯方块的话\n其实说实话\n它只有那几种选项\n对不对\n你把选项全部列出来就可以了\n用J5进行判断\n最高他支持255种选项\n是不是\n那其实生活中绝大部分\n其实实验绝大部分场景的\n就有几少数场景\n它是一种无限可能的\n对不对\n绝大部分场景都是有限可能的\n是不是\n我们这个只要把动作\n全部罗列出来\n就可以这样交给他去判断\n他又快成本又低\n是不是\n好给我们看一下\n比如说客户公单与客户\n消息智能处理平台\n比如说公单的分类\n是吧\n是物流问题\n账单问题\n产品故障还是投诉\n对吧\n比如说紧急度打分\n这个情绪的强烈度\n对不对\n还有这个比如说像这个Node核心判断\n是不是退款\n是不是辱骂\n是不是需要人工进入\n对不对\n做的非常非常适合用\n我们的Jail这个模型来处理\n真的非常非常方便\n所以以后做这个智能体\n它一定是什么\n一定是Jail\n一定是Jail和这个GPT或者和Lode\n进行配合使用\n就现在硅谷已经基本上\n是这两个组合在一起使用了\n啊\n就跟我\n根据我所找的信息\n就是他们现在已经在调整自己的决策了\n都是使用J5加什么\n加GPT来做这个智能体\n因为GPT其实实在是太贵了\n知道吗\n啊\n好用就好\n它实在是贵\n而且效率比较低\n所以不是所有的场景都适合用GPT键理\n啊\n其实少\n就是大部分场景\n其实都是比较适合用J5来做处理的\n还比如说这个内容与文档的拼尿删讯\n有些分类\n是不是\n啊\n只要\n就是只要给一个标记就可以了\n对吧\n还有评论\n消息删选\n对不对\n说实话\n你之前给几个标签给它\n是不是\n因为这个\n这往判断是哪一种类型的\n直接就说实话\n就很快\n就给我们打这个标签了\n还能闻到删选\n会议记样\n是不是\n还有实时业务分控\n自动化\n交易电带分控\n服务器与AOT设备\n告紧自动化\n都适合用\n用我们的J5来先处理\n比如说模型的路由与大模型\n这要评估\n模型路由对不对\n因为你全部使用GPT或者Close\n来解决问题实在是太贵了\n公司消耗不起对吧\n那么这个时候呢\n我就完全可以由J5来做一个模型的调度\n来做一个路由\n就是说你这个问题\n到底适合有哪一个模型来进行处理\n对不对\n常用的模型可能也就十来个\n你把这十来个模型全部累出来\n然后你交个J5判断一下就可以了\n到底选哪一个模型来处理这个问题\n对不对\n然后选出来之后\n然后我们再交个对应的模型来处理\n对不对\n比如大模型输出降业预示\n判断反复结果是否拼离核心要求\n是否存在幻觉分件\n做质量预示\n比如数据及标注与评测\n拼量进行按原判断与分离打分\n高效替代大模型的榨纸调用\n这只调用\n这个其实就是说\n它比这个原先用GPT去做决策呢\n就要快很多\n方便很多\n就主打一个高效和年价\n对吧\n这是我们这种模型的特点\n记住啊\n它不是要去替代GPT\n也不是要替代GPT\n也不是替代这Cloud\n还是给它们实现一种互补\n来完成一个\n一个又好用\n又省钱的这么一个应用",
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  "duration": 1378.847375,
  "segments": [
    {
      "start": 0.0,
      "end": 7.0,
      "text": "來,各位家人們,最近幾天,整個硅谷都被一款叫做Jill的模型刷屏了。",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.2801926841198559,
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    {
      "start": 7.0,
      "end": 14.0,
      "text": "然後呢,發布前三天已經被Wassel,Cloudflare,LongChang等主流平台迅速給集成了。",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.2801926841198559,
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    {
      "start": 14.0,
      "end": 16.0,
      "text": "這個模型有什麼特點呢?",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.2801926841198559,
      "no_speech_prob": 9.195976445608434e-12,
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      "start": 16.0,
      "end": 23.0,
      "text": "這款模型,它相比普通的模型推理速度,最高可以提升200倍,最高可以高到200倍。",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.2801926841198559,
      "no_speech_prob": 9.195976445608434e-12,
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    {
      "start": 23.0,
      "end": 27.0,
      "text": "然後呢,這個成本可以降低,最高可以降到400倍。",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.2801926841198559,
      "no_speech_prob": 9.195976445608434e-12,
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    {
      "start": 27.0,
      "end": 28.88,
      "text": "是一个非常非常恐怖的数字啊",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.21842947722859465,
      "no_speech_prob": 3.241770740736172e-11,
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    {
      "start": 28.88,
      "end": 31.22,
      "text": "而且是可以组合的前沿之冷",
      "chunk": 0,
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    {
      "start": 31.22,
      "end": 34.28,
      "text": "那么这种牛扮的东西到底是一个什么东西呢",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.21842947722859465,
      "no_speech_prob": 3.241770740736172e-11,
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    {
      "start": 34.28,
      "end": 38.5,
      "text": "它会不会把open AI把这个Athrope给颠覆掉呢",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.21842947722859465,
      "no_speech_prob": 3.241770740736172e-11,
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    {
      "start": 38.5,
      "end": 40.44,
      "text": "别张奇哈我们来认识一下",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.21842947722859465,
      "no_speech_prob": 3.241770740736172e-11,
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      "start": 40.44,
      "end": 41.38,
      "text": "J5这个模型",
      "chunk": 0,
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      "start": 41.38,
      "end": 44.26,
      "text": "那么J5这个模型呢一句话来干口啊",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.21842947722859465,
      "no_speech_prob": 3.241770740736172e-11,
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      "start": 44.26,
      "end": 46.02,
      "text": "J5呢是一个决策模型",
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      "start": 46.02,
      "end": 47.52,
      "text": "决策模型有什么特点呢",
      "chunk": 0,
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      "start": 47.52,
      "end": 48.8,
      "text": "它不生成文本",
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    {
      "start": 48.8,
      "end": 50.36,
      "text": "不生成图片",
      "chunk": 0,
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    {
      "start": 50.36,
      "end": 53.08,
      "text": "只做结果化判断输出概率",
      "chunk": 0,
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      "no_speech_prob": 3.241770740736172e-11,
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    {
      "start": 53.08,
      "end": 54.5,
      "text": "也就是它只输出概率啊",
      "chunk": 0,
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      "no_speech_prob": 3.241770740736172e-11,
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    {
      "start": 54.5,
      "end": 57.84,
      "text": "专门给agent的程序做高频快判断",
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      "no_speech_prob": 2.1094065730253853e-11,
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    {
      "start": 57.84,
      "end": 59.34,
      "text": "它是一个什么东西啊",
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      "start": 59.34,
      "end": 60.96,
      "text": "它其实是一个决策模型",
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      "start": 60.96,
      "end": 62.3,
      "text": "或者是一个判断模型",
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      "start": 62.3,
      "end": 65.5,
      "text": "它其实跟GPT跟Cloud",
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    {
      "start": 65.5,
      "end": 67.62,
      "text": "跟GP9是有本质的区别的",
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    {
      "start": 67.62,
      "end": 68.76,
      "text": "GPT这种模型呢",
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      "start": 68.76,
      "end": 70.18,
      "text": "其实是一个生成式模型",
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    {
      "start": 70.18,
      "end": 71.22,
      "text": "生成文本",
      "chunk": 0,
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      "no_speech_prob": 2.1094065730253853e-11,
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    {
      "start": 71.22,
      "end": 72.18,
      "text": "生成图片",
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    {
      "start": 72.18,
      "end": 75.1,
      "text": "但是GP呢只做决策",
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      "no_speech_prob": 2.1094065730253853e-11,
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    {
      "start": 75.1,
      "end": 76.96,
      "text": "它们是有本质的区别的",
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      "language": "zh",
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      "no_speech_prob": 2.1094065730253853e-11,
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    {
      "start": 76.96,
      "end": 78.34,
      "text": "所以它们之间并不是一个",
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    {
      "start": 78.34,
      "end": 80.04,
      "text": "谁替代是这么一种关系",
      "chunk": 0,
      "language": "zh",
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      "no_speech_prob": 2.1094065730253853e-11,
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    {
      "start": 80.04,
      "end": 81.82,
      "text": "还是一种互补的关系",
      "chunk": 0,
      "language": "zh",
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      "no_speech_prob": 2.1094065730253853e-11,
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    {
      "start": 81.82,
      "end": 83.38,
      "text": "那么有种人讲",
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      "text": "你这个东西有什么用呢",
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      "start": 90.14,
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      "text": "Cloat",
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      "text": "真来也可以做决策对吧",
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      "text": "你这个Jill有什么特点呢",
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      "start": 96.46,
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      "text": "对不对",
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      "start": 103.1,
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      "text": "前欧巴亚的研究员叫Digo",
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      "start": 116.2,
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      "text": "在前几天发布的",
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      "start": 118.12,
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      "text": "我一直在眼神",
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      "start": 140.92,
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      "text": "抓大家做两件事情",
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      "text": "可以生成文本",
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      "text": "但只有这个模型呢",
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      "start": 186.5,
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      "start": 188.56,
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      "text": "延迟极低成本极低",
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      "start": 191.88,
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      "text": "记住啊",
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      "text": "也就是说啊",
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      "start": 196.32,
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      "text": "他基本上在500毫秒之内",
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      "start": 199.24,
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      "text": "可以得到这个结果啊",
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      "text": "500毫秒之内其实是非常非常快的",
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      "start": 203.5,
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      "text": "非常非常快啊",
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      "text": "你像使用GPT",
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      "text": "那基本上几秒啊",
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      "text": "十几秒才得到这个结果",
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      "start": 209.76,
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      "text": "对不对",
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      "text": "它的延迟极低",
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      "start": 213.2,
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      "text": "就可以得到这个结果",
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      "text": "成本极低啊",
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      "text": "我们后面会介绍的成本",
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      "start": 217.24,
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      "text": "然后再来看一下啊",
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      "start": 219.74,
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      "text": "这个东西怎么使用啊",
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      "text": "就是说你怎么去使用这个东西呢",
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      "text": "使用这个Jill这个模型呢",
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      "text": "使用Jill这个模型呢",
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      "text": "通常啊",
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      "text": "就大家通常都是调这个API的方式啊",
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      "text": "大家可以把它看作是一个context",
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      "start": 276.44,
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      "text": "是一种纯JSON的文本",
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      "start": 278.0,
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      "text": "大概是变形结构预测",
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      "start": 280.22,
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      "text": "模型一次性返回所有概率",
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      "start": 282.04,
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      "text": "也就是说你丢给它几个问题啊",
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      "start": 288.48,
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      "text": "第三个就是程序可以直接解析",
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      "start": 290.94,
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      "text": "才是反过一个接测文本嘛",
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      "start": 293.94,
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      "text": "所以我们总结来的话",
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      "start": 295.42,
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      "text": "它的输入就是state加预定的question",
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      "start": 303.48,
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      "text": "好那么它的输出呢有三种类型啊",
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      "start": 306.26,
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      "text": "第一种类型呢是no啊",
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    {
      "start": 307.78,
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      "text": "只有三种类型啊",
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      "start": 309.5,
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      "text": "第一个是no啊",
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    {
      "start": 311.06,
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      "text": "no是一个概率类型",
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    {
      "start": 312.2,
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      "text": "这个类型有什么特点呢",
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    {
      "start": 313.98,
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      "text": "也就是不完类型判断",
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    {
      "start": 315.56,
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      "text": "它是返回0到1的伏点数",
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    {
      "start": 317.76,
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      "text": "数值代表成立概率",
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    {
      "start": 319.96,
      "end": 323.22,
      "text": "无需单独设置置信度",
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    {
      "start": 323.22,
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      "text": "这段数字即为置信度",
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    {
      "start": 324.96,
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      "text": "好 我们来看一下",
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    {
      "start": 326.18,
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      "text": "就是它返回一个什么样的东西",
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    {
      "start": 328.52,
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      "text": "这里是它返回的一个结构的一个实例",
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    {
      "start": 331.48,
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      "text": "因为我先说过",
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      "start": 333.28,
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      "text": "它其实是它的使用",
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    {
      "start": 335.06,
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      "text": "它使用的方式",
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    {
      "start": 336.58,
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      "text": "其实跟contract GPT",
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    {
      "start": 338.88,
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      "text": "跟GPT还是有些区别",
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    {
      "start": 340.18,
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      "text": "对吧",
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    {
      "start": 340.6,
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      "text": "通常是以结构的方式对外使用",
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      "start": 343.84,
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      "text": "你直接给他一个",
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    {
      "start": 345.84,
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      "text": "你直接呢",
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    {
      "start": 346.84,
      "end": 350.84,
      "text": "通过这个机构的方式提供这个task需要的内容",
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    {
      "start": 350.84,
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      "text": "state和这个question",
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    {
      "start": 352.84,
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      "text": "然后他返回的是一个json的这样一个sultrime",
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      "start": 355.84,
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      "text": "这个sultrime里面呢",
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      "start": 356.84,
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      "text": "有两个重要的东西",
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      "text": "第一个就是类型",
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      "text": "类型就是no",
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      "text": "它是概率类型",
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      "start": 362.84,
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      "text": "然后这个呢就是它的这个值",
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      "start": 365.84,
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      "text": "0.95",
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    {
      "start": 366.84,
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      "text": "我们前面说过",
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    {
      "start": 367.84,
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      "text": "它这里是0到1的这么一个伏点数",
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    {
      "start": 370.84,
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      "text": "对不对",
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    {
      "start": 371.84,
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      "text": "那么这个0.9.5其实就是表示一个概率",
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      "start": 374.28,
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      "text": "大家可以反而看作是一个概率",
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      "start": 376.64,
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      "text": "那么这个时候同学就会问了",
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    {
      "start": 378.8,
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      "text": "这个这里有什么用呢",
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    {
      "start": 380.08,
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      "text": "对吧",
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      "start": 380.6,
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      "text": "嗯反正0.95是吧",
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      "start": 382.44,
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      "text": "其实场景是非常多的",
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    {
      "start": 384.0,
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      "text": "比如说",
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    {
      "start": 385.88,
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      "text": "检测用户退款对不对",
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      "compression_ratio": 1.4444444444444444
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    {
      "start": 387.84,
      "end": 389.0,
      "text": "检测用户退款的话",
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    {
      "start": 389.0,
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      "text": "其实呢",
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    {
      "start": 390.0,
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      "text": "这个东西啊",
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      "start": 390.6,
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      "text": "当然你用XenGPT其实也可以回答",
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    {
      "start": 392.68,
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      "text": "是不是",
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      "start": 393.4,
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      "text": "你丢给一个啊",
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    {
      "start": 395.28,
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      "text": "就是用户的这个用户的信息啊",
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    {
      "start": 398.2,
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      "text": "直接给到这个GPT",
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      "start": 399.68,
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      "text": "他也可以回答",
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      "start": 401.0,
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      "text": "说这个用户到底会不会退款",
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    {
      "start": 403.0,
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      "text": "对不对",
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    {
      "start": 403.9,
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      "text": "但是呢其实呢",
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      "start": 405.3,
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      "text": "那个东西有点什么",
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    {
      "start": 406.8,
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      "text": "有点这个杀鸡又牛肉的感觉",
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    {
      "start": 408.5,
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      "text": "其实这种需求呢",
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    {
      "start": 410.2,
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      "text": "其实有更简单的方式去实现",
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    {
      "start": 412.2,
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      "text": "就是所谓的Jell这种方式对吧",
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    {
      "start": 415.4,
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      "text": "那么检测用户退款请求",
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    {
      "start": 417.5,
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      "text": "这用户呢可能是一个信息发过来",
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      "start": 419.8,
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      "text": "那么给到Jell这个模型",
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      "text": "那么Jell呢",
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    {
      "start": 423.5,
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      "text": "直接就回答一个概率就可以了",
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    {
      "start": 426.4,
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      "text": "比如说",
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    {
      "start": 427.6,
      "end": 428.8,
      "text": "用户呢不会退款",
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      "no_speech_prob": 2.9837281950717554e-11,
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    {
      "start": 428.8,
      "end": 430.0,
      "text": "他就可能就返回给你",
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    {
      "start": 430.0,
      "end": 430.3,
      "text": "对不对",
      "chunk": 0,
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    {
      "start": 430.3,
      "end": 430.98,
      "text": "如果会退款",
      "chunk": 0,
      "language": "zh",
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      "no_speech_prob": 5.532524091633739e-11,
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    {
      "start": 430.98,
      "end": 432.1,
      "text": "那么就返回这个",
      "chunk": 0,
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      "no_speech_prob": 5.532524091633739e-11,
      "compression_ratio": 1.456140350877193
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    {
      "start": 432.1,
      "end": 434.38,
      "text": "比如说0.9或者1就可以了",
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      "no_speech_prob": 5.532524091633739e-11,
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    {
      "start": 434.38,
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      "text": "对不对",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.15346591088079636,
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    {
      "start": 434.62,
      "end": 438.6,
      "text": "那么这样子其实非常方便的解决这个问题",
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      "no_speech_prob": 5.532524091633739e-11,
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    {
      "start": 438.6,
      "end": 440.58,
      "text": "那么它这个",
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    {
      "start": 440.58,
      "end": 442.98,
      "text": "它的成本会远远的低于这个",
      "chunk": 0,
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      "avg_logprob": -0.15346591088079636,
      "no_speech_prob": 5.532524091633739e-11,
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    },
    {
      "start": 442.98,
      "end": 444.28,
      "text": "用GPT来解决这个问题",
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    {
      "start": 444.28,
      "end": 447.82,
      "text": "而且这个速度也会快很多",
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    {
      "start": 447.82,
      "end": 450.46,
      "text": "它的这个延迟的时间是500毫秒",
      "chunk": 0,
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      "no_speech_prob": 5.532524091633739e-11,
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    {
      "start": 450.46,
      "end": 453.44,
      "text": "它那个GPT那是几秒钟",
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    {
      "start": 453.44,
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      "text": "对不对",
      "chunk": 0,
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      "avg_logprob": -0.15346591088079636,
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    {
      "start": 453.78,
      "end": 455.92,
      "text": "所以它用它这种方式来解决",
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      "no_speech_prob": 5.532524091633739e-11,
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    {
      "start": 455.92,
      "end": 456.52,
      "text": "这个问题的话",
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    {
      "start": 456.52,
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      "text": "其实是成本更低",
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      "avg_logprob": -0.15346591088079636,
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    {
      "start": 458.44,
      "end": 460.0,
      "text": "然后那速度呢更好",
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    {
      "start": 460.0,
      "end": 461.34,
      "text": "是不是速度更快",
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      "compression_ratio": 0.75
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    {
      "start": 461.34,
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      "text": "效率更高",
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      "compression_ratio": 0.75
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    {
      "start": 462.942,
      "end": 466.942,
      "text": "然後我們再來看第二個類型,就是Close類型。",
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      "avg_logprob": -0.3339725595659914,
      "no_speech_prob": 1.0232515355868e-11,
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    {
      "start": 466.942,
      "end": 476.942,
      "text": "這個什麼意思呢?也就是說,我們在去提供上下文的時候,其實是會帶好幾個選項過去的。",
      "chunk": 1,
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      "avg_logprob": -0.3339725595659914,
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      "start": 476.942,
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      "text": "然后呢",
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    {
      "start": 478.222,
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      "text": "这个这个模型说到这个",
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      "start": 480.542,
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      "text": "这个上下和和这个问题之后呢",
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    {
      "start": 483.722,
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      "text": "他会选择其中的一个来作为回答",
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      "no_speech_prob": 2.046575409142548e-11,
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    {
      "start": 486.182,
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      "text": "就是做选择题嘛",
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      "start": 487.942,
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      "text": "就ABC第四个选项",
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      "start": 489.082,
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      "text": "他选一个告诉你",
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      "start": 490.382,
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      "text": "好那么其实这个呢",
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    {
      "start": 491.602,
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      "text": "就是他换回的结果",
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    {
      "start": 492.682,
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      "text": "假设他这个提供的选项",
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    {
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      "text": "有三个选项啊",
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      "start": 496.942,
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      "text": "一个是binim",
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    {
      "start": 497.782,
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      "text": "这个是结算",
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    {
      "start": 500.302,
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      "text": "然后这个是技术",
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    {
      "start": 501.522,
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      "text": "然后是销售",
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    {
      "start": 502.502,
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      "text": "就是三百三个部门啊",
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    {
      "start": 504.202,
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      "text": "对吧",
      "chunk": 1,
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    {
      "start": 505.182,
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      "text": "然后这里面他会选一个",
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    {
      "start": 506.762,
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      "text": "他选择这个billion这个部门",
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    {
      "start": 509.002,
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      "text": "就他选一个",
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    {
      "start": 510.302,
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      "text": "你给他三个选项",
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      "no_speech_prob": 3.588299796186689e-11,
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    {
      "start": 511.122,
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      "text": "他选一个出来",
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    {
      "start": 511.882,
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      "text": "那这有时候这个东西",
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    {
      "start": 513.682,
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      "text": "哪里有这个场景多不多呢",
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      "start": 516.702,
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      "text": "这个很多嘛",
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    {
      "start": 517.622,
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      "text": "对不对",
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      "start": 518.082,
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      "text": "很多重要的场景",
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    {
      "start": 519.662,
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      "text": "比如说这个三件商品",
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    {
      "start": 521.402,
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      "text": "让他选一个",
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    {
      "start": 522.102,
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      "text": "是不是",
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      "start": 522.502,
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      "text": "那其实这种场景是非常多的",
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      "text": "是不是",
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    {
      "start": 524.602,
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      "text": "OK我们来看一下",
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    {
      "start": 526.422,
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      "text": "这个关键",
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    {
      "start": 527.002,
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      "text": "只有关键的这个字段",
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    {
      "start": 529.242,
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      "text": "这个是truth",
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    {
      "start": 530.902,
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      "text": "就是概率最高的选项名称",
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    {
      "start": 532.562,
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      "text": "就这个",
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    {
      "start": 533.262,
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      "text": "就概率最高的",
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    {
      "start": 535.042,
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      "text": "他选一个出来",
      "chunk": 1,
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    {
      "start": 537.022,
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      "text": "就是ABCD四个选项",
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    {
      "start": 538.142,
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      "text": "他选一个出来",
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      "start": 538.822,
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      "text": "他说不一定是ABCD四个选项",
      "chunk": 1,
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    {
      "start": 541.402,
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      "text": "他最多可以255个选项",
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    {
      "start": 543.322,
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      "text": "选项可以很多",
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    {
      "start": 544.542,
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      "text": "你把它列出来",
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    {
      "start": 545.722,
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      "text": "他会选一个出来",
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    {
      "start": 547.202,
      "end": 548.922,
      "text": "然后这个呢",
      "chunk": 1,
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    {
      "start": 548.922,
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      "text": "就是概率的总和",
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      "avg_logprob": -0.15024468837640223,
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    {
      "start": 550.942,
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      "text": "就是所有或选项的完整的概率分布",
      "chunk": 1,
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    {
      "start": 554.982,
      "end": 557.082,
      "text": "那如果说是255个选项呢",
      "chunk": 1,
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      "no_speech_prob": 2.6161522601042542e-11,
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    {
      "start": 557.082,
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      "text": "那么就会列出255个选项",
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    {
      "start": 560.462,
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      "text": "每一个选项的概率",
      "chunk": 1,
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    {
      "start": 561.342,
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      "text": "那么这个trose这里呢",
      "chunk": 1,
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    {
      "start": 564.162,
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      "text": "其实概念最高的那一个",
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    {
      "start": 565.462,
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      "text": "那么这个是confidence",
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    {
      "start": 567.522,
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      "text": "自信度啊",
      "chunk": 1,
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    {
      "start": 568.482,
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      "text": "模型对本次分类结果的自信度",
      "chunk": 1,
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      "avg_logprob": -0.18391807689223177,
      "no_speech_prob": 2.273280869102834e-11,
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    {
      "start": 570.982,
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      "text": "那么数值越高呢",
      "chunk": 1,
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    {
      "start": 572.642,
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      "text": "就分类呢越确定",
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    {
      "start": 574.162,
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      "text": "好那我们看一下这个自信度是0.8",
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    {
      "start": 576.202,
      "end": 577.442,
      "text": "对吧这是比较高的",
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    {
      "start": 577.442,
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      "text": "是不是当然我们在进行",
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    {
      "start": 579.802,
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      "text": "决策的时候呢",
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    {
      "start": 581.122,
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      "text": "你可以跟这个自信度来进行",
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    {
      "start": 583.322,
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      "text": "评估哈",
      "chunk": 1,
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    {
      "start": 584.542,
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      "text": "就是如果自信度高于0.8",
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    {
      "start": 586.722,
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      "text": "或者说高于0.7",
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    {
      "start": 588.242,
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      "text": "我们就可以选择这样的一个结果",
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    {
      "start": 590.242,
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      "text": "就是所谓的决策模型的",
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      "start": 592.262,
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      "text": "价值在这里面",
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      "compression_ratio": 1.459016393442623
    },
    {
      "start": 594.162,
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      "text": "好让我们再看第三个啊",
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    {
      "start": 596.162,
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      "text": "就是score啊",
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    {
      "start": 597.162,
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      "text": "打分啊",
      "chunk": 1,
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    {
      "start": 598.522,
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      "text": "打个分数",
      "chunk": 1,
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    {
      "start": 599.342,
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      "text": "啊",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.23559136526925223,
      "no_speech_prob": 2.716700649163517e-11,
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    {
      "start": 600.782,
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      "text": "那么它的特点就是连续打分",
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    {
      "start": 602.362,
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      "text": "各级别概率分布啊",
      "chunk": 1,
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      "avg_logprob": -0.23559136526925223,
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    {
      "start": 604.102,
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      "text": "confidence 知性度",
      "chunk": 1,
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    {
      "start": 605.162,
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      "text": "我们来看一下这个结果啊",
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      "start": 607.262,
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      "text": "那么",
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    {
      "start": 607.462,
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      "text": "通常它会去",
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    {
      "start": 610.022,
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      "text": "比如说你给它三个选项啊",
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    {
      "start": 612.002,
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      "text": "你给它一个问",
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    {
      "start": 612.622,
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      "text": "就是说你给给问",
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    {
      "start": 614.142,
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      "text": "给上下文给问题",
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    {
      "start": 615.622,
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      "text": "然后提供选项",
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    {
      "start": 616.842,
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      "text": "好那么它反而结果里面呢",
      "chunk": 1,
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      "avg_logprob": -0.23559136526925223,
      "no_speech_prob": 2.716700649163517e-11,
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    {
      "start": 618.602,
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      "text": "它就会对三个选项呢",
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    {
      "start": 620.382,
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      "text": "每个选项打一个分数",
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    {
      "start": 621.682,
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      "text": "我们来看一下啊",
      "chunk": 1,
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    {
      "start": 622.602,
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      "text": "好",
      "chunk": 1,
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    {
      "start": 623.322,
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      "text": "它的分数是",
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      "compression_ratio": 1.5176991150442478
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    {
      "start": 624.262,
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      "text": "非诊数打分值",
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      "compression_ratio": 1.5176991150442478
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    {
      "start": 626.462,
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      "text": "这个是I.86",
      "chunk": 1,
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      "compression_ratio": 1.5176991150442478
    },
    {
      "start": 627.322,
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      "text": "对不对",
      "chunk": 1,
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      "compression_ratio": 1.5176991150442478
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    {
      "start": 627.722,
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      "text": "知情度是0.94",
      "chunk": 1,
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      "avg_logprob": -0.2271544415017833,
      "no_speech_prob": 2.07848720873427e-11,
      "compression_ratio": 1.5176991150442478
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    {
      "start": 629.022,
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      "text": "然后它提供了三个选项",
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    {
      "start": 632.322,
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      "text": "这三个选项",
      "chunk": 1,
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    {
      "start": 633.622,
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      "text": "评鉴",
      "chunk": 1,
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      "compression_ratio": 1.5176991150442478
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    {
      "start": 634.202,
      "end": 635.322,
      "text": "轻微不满",
      "chunk": 1,
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      "avg_logprob": -0.2271544415017833,
      "no_speech_prob": 2.07848720873427e-11,
      "compression_ratio": 1.5176991150442478
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    {
      "start": 635.322,
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      "text": "生气",
      "chunk": 1,
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      "compression_ratio": 1.5176991150442478
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    {
      "start": 635.822,
      "end": 637.502,
      "text": "极度愤怒",
      "chunk": 1,
      "language": "zh",
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      "compression_ratio": 1.5176991150442478
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    {
      "start": 637.502,
      "end": 637.902,
      "text": "对吧",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.2271544415017833,
      "no_speech_prob": 2.07848720873427e-11,
      "compression_ratio": 1.5176991150442478
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    {
      "start": 637.902,
      "end": 639.222,
      "text": "好上面就是分数",
      "chunk": 1,
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      "avg_logprob": -0.2271544415017833,
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    {
      "start": 639.222,
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      "text": "这个第一个评鉴",
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    {
      "start": 641.182,
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      "text": "就是0.0分",
      "chunk": 1,
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    {
      "start": 641.962,
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      "text": "就是不评鉴",
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      "compression_ratio": 1.5176991150442478
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    {
      "start": 642.622,
      "end": 643.242,
      "text": "对吧",
      "chunk": 1,
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    {
      "start": 643.242,
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    {
      "start": 643.502,
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      "text": "这里是0.0爱",
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    {
      "start": 645.202,
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      "text": "这个轻微不满",
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    {
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      "text": "对应的分数是0.0爱",
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    {
      "start": 648.342,
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      "text": "然后这个是0.1",
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    {
      "start": 649.962,
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      "text": "好",
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    {
      "start": 650.822,
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      "text": "这个生气",
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    {
      "start": 651.502,
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      "text": "然后极度愤怒",
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    {
      "start": 652.682,
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      "text": "是年点88",
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    {
      "start": 653.742,
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      "text": "那么这个分数最高了",
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    {
      "start": 655.042,
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      "text": "对不对",
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    {
      "start": 655.282,
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      "text": "那如果说你是基于这个分数来进行",
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    {
      "start": 657.922,
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      "text": "啊",
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    {
      "start": 658.362,
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      "text": "决策的话",
      "chunk": 1,
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    {
      "start": 658.982,
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      "text": "那么你可能会选这个是不是",
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    {
      "start": 660.462,
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      "text": "啊",
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    {
      "start": 661.162,
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      "text": "这个其实就是对于",
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    {
      "start": 662.482,
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      "text": "多个选项",
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    {
      "start": 663.462,
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      "text": "进行打一个分数",
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      "compression_ratio": 1.441696113074205
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    {
      "start": 664.622,
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      "text": "啊",
      "chunk": 1,
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      "avg_logprob": -0.2553246627897906,
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    {
      "start": 665.282,
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      "text": "这个其实也是长期很多",
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    {
      "start": 666.582,
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      "text": "啊",
      "chunk": 1,
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    {
      "start": 666.942,
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      "text": "这个是",
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    {
      "start": 668.282,
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      "text": "呃",
      "chunk": 1,
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    {
      "start": 668.862,
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      "text": "我们的Jill这个模型啊",
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    {
      "start": 670.902,
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      "text": "它的",
      "chunk": 1,
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    {
      "start": 671.302,
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      "text": "返回结果的三个可能性",
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    {
      "start": 674.262,
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      "text": "OK啊",
      "chunk": 1,
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      "avg_logprob": -0.2553246627897906,
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    {
      "start": 675.362,
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      "text": "三种结果",
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    {
      "start": 676.102,
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      "text": "好",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.2553246627897906,
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      "compression_ratio": 1.441696113074205
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    {
      "start": 677.342,
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      "text": "那么先怎么总结一下",
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    {
      "start": 678.362,
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      "text": "Jill输出的关键的特性啊",
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    {
      "start": 680.902,
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      "text": "第二点就是",
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    {
      "start": 682.082,
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      "text": "年文本幻觉",
      "chunk": 1,
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      "avg_logprob": -0.1949989145452326,
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    {
      "start": 683.002,
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      "text": "它输出结构是强制约定的",
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    {
      "start": 685.162,
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      "text": "宁格式错误",
      "chunk": 1,
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      "avg_logprob": -0.1949989145452326,
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    {
      "start": 686.342,
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      "text": "不乱增自断",
      "chunk": 1,
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      "avg_logprob": -0.1949989145452326,
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    },
    {
      "start": 687.302,
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      "text": "然后是拼尿变形计算的",
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    {
      "start": 689.842,
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      "text": "一次请就变形处理所有",
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    {
      "start": 691.382,
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      "text": "然后校准级概念",
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    {
      "start": 694.742,
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      "text": "直接预计分支",
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    {
      "start": 696.302,
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      "text": "那么低分支可以人工复制",
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    {
      "start": 698.262,
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      "text": "它会有一个知性度给你",
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    {
      "start": 700.222,
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      "text": "然后输出你的费用",
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    {
      "start": 701.442,
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      "text": "它这个模型输出是不收费的",
      "chunk": 1,
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    {
      "start": 704.262,
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      "text": "你用它这个模型输出是不收费的",
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    {
      "start": 705.962,
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      "text": "而且输入的成本也是非常低",
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    {
      "start": 708.482,
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      "text": "它是我们使用",
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    {
      "start": 710.902,
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      "text": "GPT的成本大概就是100万Token",
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    {
      "start": 714.842,
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      "text": "对吧",
      "chunk": 1,
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    {
      "start": 715.202,
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      "text": "就一兆",
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    {
      "start": 715.842,
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      "text": "大概就是10美元",
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    {
      "start": 718.922,
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      "text": "10美元",
      "chunk": 1,
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      "avg_logprob": -0.2744598600599501,
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    {
      "start": 720.002,
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      "text": "那么他这个",
      "chunk": 1,
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    {
      "start": 721.142,
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      "text": "大概就是100万",
      "chunk": 1,
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    {
      "start": 723.922,
      "end": 732.342,
      "text": "大概就是0.0.4万美元",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.2744598600599501,
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    {
      "start": 732.342,
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      "text": "就是他这个10美元",
      "chunk": 1,
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    {
      "start": 734.062,
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      "text": "他这个年纪年4万美元",
      "chunk": 1,
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      "avg_logprob": -0.2744598600599501,
      "no_speech_prob": 2.1927678423017127e-11,
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    {
      "start": 735.282,
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      "text": "所以他的成本低很多",
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    {
      "start": 737.142,
      "end": 739.522,
      "text": "那么也就是说",
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    {
      "start": 739.522,
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      "text": "我们在实际上面进行",
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      "compression_ratio": 1.4645161290322581
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    {
      "start": 741.682,
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      "text": "在做应用的时候呢",
      "chunk": 1,
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      "avg_logprob": -0.19171620592658903,
      "no_speech_prob": 2.4771615314556072e-11,
      "compression_ratio": 1.4645161290322581
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    {
      "start": 743.842,
      "end": 745.742,
      "text": "那么其实就给了我们很多的选择",
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      "no_speech_prob": 2.4771615314556072e-11,
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    {
      "start": 745.742,
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      "text": "有些场景其实并不完全需要",
      "chunk": 1,
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      "no_speech_prob": 2.4771615314556072e-11,
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    {
      "start": 748.542,
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      "text": "由GPT或者说",
      "chunk": 1,
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      "compression_ratio": 1.4645161290322581
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    {
      "start": 751.242,
      "end": 753.122,
      "text": "Close这种模型来进行处理",
      "chunk": 1,
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      "avg_logprob": -0.19171620592658903,
      "no_speech_prob": 2.4771615314556072e-11,
      "compression_ratio": 1.4645161290322581
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    {
      "start": 753.122,
      "end": 754.922,
      "text": "我们完全可以把它交给什么",
      "chunk": 1,
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      "avg_logprob": -0.19171620592658903,
      "no_speech_prob": 2.4771615314556072e-11,
      "compression_ratio": 1.4645161290322581
    },
    {
      "start": 754.922,
      "end": 757.082,
      "text": "交给我们的JP这种模型来处理",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.19171620592658903,
      "no_speech_prob": 2.4771615314556072e-11,
      "compression_ratio": 1.4645161290322581
    },
    {
      "start": 757.082,
      "end": 757.542,
      "text": "对不对",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.19171620592658903,
      "no_speech_prob": 2.4771615314556072e-11,
      "compression_ratio": 1.4645161290322581
    },
    {
      "start": 757.542,
      "end": 759.502,
      "text": "所以他们这其实是这样写的关系",
      "chunk": 1,
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      "avg_logprob": -0.19171620592658903,
      "no_speech_prob": 2.4771615314556072e-11,
      "compression_ratio": 1.4645161290322581
    },
    {
      "start": 759.502,
      "end": 762.802,
      "text": "并不是说替代的关系",
      "chunk": 1,
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      "no_speech_prob": 2.4771615314556072e-11,
      "compression_ratio": 1.4645161290322581
    },
    {
      "start": 762.802,
      "end": 763.562,
      "text": "并不是这样子",
      "chunk": 1,
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      "avg_logprob": -0.19171620592658903,
      "no_speech_prob": 2.4771615314556072e-11,
      "compression_ratio": 1.4645161290322581
    },
    {
      "start": 763.562,
      "end": 766.642,
      "text": "好那么接下来我们给大家看一个案例",
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      "no_speech_prob": 2.4771615314556072e-11,
      "compression_ratio": 1.4645161290322581
    },
    {
      "start": 766.642,
      "end": 767.842,
      "text": "就是到底它是怎么用的",
      "chunk": 1,
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      "no_speech_prob": 2.4771615314556072e-11,
      "compression_ratio": 1.4645161290322581
    },
    {
      "start": 767.842,
      "end": 768.302,
      "text": "这个东西",
      "chunk": 1,
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      "no_speech_prob": 2.4771615314556072e-11,
      "compression_ratio": 1.4645161290322581
    },
    {
      "start": 768.302,
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      "text": "我们来看一下",
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      "no_speech_prob": 2.4771615314556072e-11,
      "compression_ratio": 1.4645161290322581
    },
    {
      "start": 769.382,
      "end": 771.042,
      "text": "官网上面提供了一个案例",
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      "no_speech_prob": 2.8274117422344425e-11,
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    {
      "start": 771.042,
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      "text": "我们直接来看到官网就可以了",
      "chunk": 1,
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      "compression_ratio": 1.4729241877256318
    },
    {
      "start": 772.702,
      "end": 772.862,
      "text": "好吧",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.22435685700061275,
      "no_speech_prob": 2.8274117422344425e-11,
      "compression_ratio": 1.4729241877256318
    },
    {
      "start": 772.862,
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      "text": "就是汉缩入门",
      "chunk": 1,
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      "avg_logprob": -0.22435685700061275,
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      "compression_ratio": 1.4729241877256318
    },
    {
      "start": 774.382,
      "end": 776.882,
      "text": "大家可以到这个网站",
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      "no_speech_prob": 2.8274117422344425e-11,
      "compression_ratio": 1.4729241877256318
    },
    {
      "start": 776.882,
      "end": 779.042,
      "text": "去看一下它的官网上面提供了一个案例",
      "chunk": 1,
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      "avg_logprob": -0.22435685700061275,
      "no_speech_prob": 2.8274117422344425e-11,
      "compression_ratio": 1.4729241877256318
    },
    {
      "start": 779.042,
      "end": 780.362,
      "text": "那么当然首先呢",
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      "no_speech_prob": 2.8274117422344425e-11,
      "compression_ratio": 1.4729241877256318
    },
    {
      "start": 780.362,
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      "text": "我们需要去申请",
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    },
    {
      "start": 782.382,
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      "text": "申请",
      "chunk": 1,
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    },
    {
      "start": 783.022,
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      "text": "如果说你要使用的话",
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    },
    {
      "start": 784.142,
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      "text": "你需要到它的控制台去申请一个API-KIT",
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    },
    {
      "start": 787.862,
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      "text": "申请还是比较容易的",
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      "compression_ratio": 1.4729241877256318
    },
    {
      "start": 790.182,
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      "text": "OK",
      "chunk": 1,
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      "avg_logprob": -0.22435685700061275,
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      "compression_ratio": 1.4729241877256318
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    {
      "start": 790.822,
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      "text": "然后得到一个接口之后呢",
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    {
      "start": 793.862,
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      "text": "你就可以来进行使用了",
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    {
      "start": 796.262,
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      "text": "好",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.22435685700061275,
      "no_speech_prob": 2.8274117422344425e-11,
      "compression_ratio": 1.4729241877256318
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    {
      "start": 797.142,
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      "text": "那么这里呢",
      "chunk": 1,
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      "compression_ratio": 1.4729241877256318
    },
    {
      "start": 797.802,
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      "text": "是CURL这个方式来去发行一个请求",
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    {
      "start": 802.802,
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      "text": "你需要提供的是一个API-K",
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    {
      "start": 805.102,
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      "text": "这是它的接口",
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    {
      "start": 806.902,
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      "text": "然后你提供哪些数据呢",
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      "compression_ratio": 1.287719298245614
    },
    {
      "start": 808.402,
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      "text": "这个数据是State",
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      "no_speech_prob": 2.940451701571867e-11,
      "compression_ratio": 1.287719298245614
    },
    {
      "start": 809.602,
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      "text": "大家可以把State看作是上线文",
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    {
      "start": 812.002,
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      "text": "OK",
      "chunk": 1,
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      "avg_logprob": -0.3517177556854448,
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    {
      "start": 812.802,
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      "text": "这个是它的上线文",
      "chunk": 1,
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    {
      "start": 814.302,
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      "text": "是在英文是吧",
      "chunk": 1,
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    {
      "start": 815.102,
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      "text": "我们把它翻译一下",
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    {
      "start": 816.602,
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      "text": "什么意思",
      "chunk": 1,
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    {
      "start": 819.002,
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      "text": "OK",
      "chunk": 1,
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      "avg_logprob": -0.3517177556854448,
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    {
      "start": 821.402,
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      "text": "好",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.3517177556854448,
      "no_speech_prob": 2.940451701571867e-11,
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    {
      "start": 821.802,
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      "text": "这个上线文是这样子",
      "chunk": 1,
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    {
      "start": 823.102,
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      "text": "你好",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.3517177556854448,
      "no_speech_prob": 2.940451701571867e-11,
      "compression_ratio": 1.287719298245614
    },
    {
      "start": 823.502,
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      "text": "我已经尝试您借我的strip账户三天了",
      "chunk": 1,
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      "avg_logprob": -0.3517177556854448,
      "no_speech_prob": 2.940451701571867e-11,
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    },
    {
      "start": 825.902,
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      "text": "但其实一直失败",
      "chunk": 1,
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      "no_speech_prob": 2.940451701571867e-11,
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    {
      "start": 827.102,
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      "text": "我的销售正在锦上",
      "chunk": 1,
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    {
      "start": 829.102,
      "end": 831.142,
      "text": "请尽快帮我帮助我",
      "chunk": 1,
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      "no_speech_prob": 2.6677238543215687e-11,
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    {
      "start": 831.142,
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      "text": "对吧",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.3706069179087378,
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      "compression_ratio": 1.4385382059800664
    },
    {
      "start": 831.662,
      "end": 832.062,
      "text": "这个东西",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.3706069179087378,
      "no_speech_prob": 2.6677238543215687e-11,
      "compression_ratio": 1.4385382059800664
    },
    {
      "start": 832.062,
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      "text": "这个内容应该是一个",
      "chunk": 1,
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      "no_speech_prob": 2.6677238543215687e-11,
      "compression_ratio": 1.4385382059800664
    },
    {
      "start": 834.302,
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      "text": "是一个street的客户是吧",
      "chunk": 1,
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      "avg_logprob": -0.3706069179087378,
      "no_speech_prob": 2.6677238543215687e-11,
      "compression_ratio": 1.4385382059800664
    },
    {
      "start": 836.142,
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      "text": "在在咨询对吧",
      "chunk": 1,
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    },
    {
      "start": 837.942,
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      "text": "在向客户进行咨询啊",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.3706069179087378,
      "no_speech_prob": 2.6677238543215687e-11,
      "compression_ratio": 1.4385382059800664
    },
    {
      "start": 839.462,
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      "text": "或者说储藏",
      "chunk": 1,
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      "avg_logprob": -0.3706069179087378,
      "no_speech_prob": 2.6677238543215687e-11,
      "compression_ratio": 1.4385382059800664
    },
    {
      "start": 840.742,
      "end": 841.702,
      "text": "储藏这么一个信息啊",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.3706069179087378,
      "no_speech_prob": 2.6677238543215687e-11,
      "compression_ratio": 1.4385382059800664
    },
    {
      "start": 841.702,
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      "text": "ok",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.3706069179087378,
      "no_speech_prob": 2.6677238543215687e-11,
      "compression_ratio": 1.4385382059800664
    },
    {
      "start": 842.262,
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      "text": "好",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.3706069179087378,
      "no_speech_prob": 2.6677238543215687e-11,
      "compression_ratio": 1.4385382059800664
    },
    {
      "start": 842.422,
      "end": 843.342,
      "text": "现在我们来看一下啊",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.3706069179087378,
      "no_speech_prob": 2.6677238543215687e-11,
      "compression_ratio": 1.4385382059800664
    },
    {
      "start": 843.862,
      "end": 844.462,
      "text": "这个模型呢",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.3706069179087378,
      "no_speech_prob": 2.6677238543215687e-11,
      "compression_ratio": 1.4385382059800664
    },
    {
      "start": 844.462,
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      "text": "是Jill latest的这个模型",
      "chunk": 1,
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      "avg_logprob": -0.3706069179087378,
      "no_speech_prob": 2.6677238543215687e-11,
      "compression_ratio": 1.4385382059800664
    },
    {
      "start": 846.302,
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      "text": "然后问题是什么呢",
      "chunk": 1,
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      "avg_logprob": -0.3706069179087378,
      "no_speech_prob": 2.6677238543215687e-11,
      "compression_ratio": 1.4385382059800664
    },
    {
      "start": 848.342,
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      "text": "问题是这样子啊",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.3706069179087378,
      "no_speech_prob": 2.6677238543215687e-11,
      "compression_ratio": 1.4385382059800664
    },
    {
      "start": 849.862,
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      "text": "在下面啊",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.3706069179087378,
      "no_speech_prob": 2.6677238543215687e-11,
      "compression_ratio": 1.4385382059800664
    },
    {
      "start": 851.462,
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      "text": "这个是那个类型",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.3706069179087378,
      "no_speech_prob": 2.6677238543215687e-11,
      "compression_ratio": 1.4385382059800664
    },
    {
      "start": 853.022,
      "end": 856.142,
      "text": "就是你希望用什么类型来回复你这个问题啊",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.3706069179087378,
      "no_speech_prob": 2.6677238543215687e-11,
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    },
    {
      "start": 856.222,
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      "text": "是no 是吧",
      "chunk": 1,
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      "avg_logprob": -0.3706069179087378,
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    {
      "start": 857.102,
      "end": 858.442,
      "text": "也就是给个概率就可以了",
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    {
      "start": 858.442,
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      "text": "我们看一下的问题是什么",
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      "compression_ratio": 1.6975806451612903
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    {
      "start": 859.822,
      "end": 862.402,
      "text": "这个信息的紧迫度",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.14550441890567928,
      "no_speech_prob": 2.327202146268359e-11,
      "compression_ratio": 1.6975806451612903
    },
    {
      "start": 862.402,
      "end": 865.922,
      "text": "就是表达一下信息的紧迫度",
      "chunk": 1,
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      "no_speech_prob": 2.327202146268359e-11,
      "compression_ratio": 1.6975806451612903
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    {
      "start": 865.922,
      "end": 869.082,
      "text": "这个内容的紧迫度是什么样子",
      "chunk": 1,
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      "compression_ratio": 1.6975806451612903
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    {
      "start": 869.082,
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      "text": "对不对",
      "chunk": 1,
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      "avg_logprob": -0.14550441890567928,
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    {
      "start": 869.382,
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      "text": "那么然后这个时候",
      "chunk": 1,
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    },
    {
      "start": 870.522,
      "end": 873.582,
      "text": "这个模型回复一个概率",
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      "compression_ratio": 1.6975806451612903
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    {
      "start": 873.582,
      "end": 878.062,
      "text": "年到一这样的一个分值过来",
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    {
      "start": 878.062,
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      "text": "一个概率过来",
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      "start": 878.862,
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      "text": "如果说这个值是一的话",
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      "start": 880.922,
      "end": 881.562,
      "text": "那么说明什么",
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    {
      "start": 881.562,
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      "text": "说明这个紧迫度是很高的",
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      "compression_ratio": 1.6975806451612903
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    {
      "start": 883.122,
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      "text": "对不对",
      "chunk": 1,
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      "avg_logprob": -0.14550441890567928,
      "no_speech_prob": 2.327202146268359e-11,
      "compression_ratio": 1.6975806451612903
    },
    {
      "start": 883.402,
      "end": 884.502,
      "text": "如果是0.95的话",
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    {
      "start": 884.502,
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      "text": "这个紧迫度也是很高的",
      "chunk": 1,
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      "compression_ratio": 1.6975806451612903
    },
    {
      "start": 885.902,
      "end": 886.902,
      "text": "好",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.24377017287734132,
      "no_speech_prob": 2.2537145760725963e-11,
      "compression_ratio": 1.5977443609022557
    },
    {
      "start": 886.902,
      "end": 887.702,
      "text": "然后我们再来看一下",
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      "avg_logprob": -0.24377017287734132,
      "no_speech_prob": 2.2537145760725963e-11,
      "compression_ratio": 1.5977443609022557
    },
    {
      "start": 887.702,
      "end": 889.242,
      "text": "那其他的这种",
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    {
      "start": 889.242,
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      "text": "这个案例啊",
      "chunk": 1,
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    {
      "start": 891.462,
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      "text": "如果说我们是",
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    },
    {
      "start": 892.342,
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      "text": "写代码掉结果",
      "chunk": 1,
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      "compression_ratio": 1.5977443609022557
    },
    {
      "start": 894.142,
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      "text": "那么我们自己在代码里面",
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    {
      "start": 895.902,
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      "text": "就要这样来写啊",
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    {
      "start": 897.102,
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      "text": "好",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.24377017287734132,
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      "compression_ratio": 1.5977443609022557
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    {
      "start": 897.362,
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      "text": "那么同样的",
      "chunk": 1,
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    },
    {
      "start": 898.042,
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      "text": "它的这个",
      "chunk": 1,
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    },
    {
      "start": 898.722,
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      "text": "上下文还是这个啊",
      "chunk": 1,
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    {
      "start": 900.502,
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      "text": "还是这个来举例啊",
      "chunk": 1,
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      "compression_ratio": 1.5977443609022557
    },
    {
      "start": 901.662,
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      "text": "我们看一下它的模型",
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    },
    {
      "start": 902.902,
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      "text": "是Jolatist",
      "chunk": 1,
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      "avg_logprob": -0.24377017287734132,
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      "compression_ratio": 1.5977443609022557
    },
    {
      "start": 904.002,
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      "text": "好",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.24377017287734132,
      "no_speech_prob": 2.2537145760725963e-11,
      "compression_ratio": 1.5977443609022557
    },
    {
      "start": 905.122,
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      "text": "那么这个下面是问题啊",
      "chunk": 1,
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    {
      "start": 906.422,
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      "text": "它其实是什么呢",
      "chunk": 1,
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    {
      "start": 907.942,
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      "text": "呃",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.24377017287734132,
      "no_speech_prob": 2.2537145760725963e-11,
      "compression_ratio": 1.5977443609022557
    },
    {
      "start": 908.502,
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      "text": "它是它什么",
      "chunk": 1,
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      "avg_logprob": -0.24377017287734132,
      "no_speech_prob": 2.2537145760725963e-11,
      "compression_ratio": 1.5977443609022557
    },
    {
      "start": 910.522,
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      "text": "它其实是一个一个上下文",
      "chunk": 1,
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      "avg_logprob": -0.24377017287734132,
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    },
    {
      "start": 912.662,
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      "text": "它其实是问了三个问题啊",
      "chunk": 1,
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      "no_speech_prob": 2.2537145760725963e-11,
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    {
      "start": 914.202,
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      "text": "问了三个问题",
      "chunk": 1,
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      "no_speech_prob": 2.2537145760725963e-11,
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    {
      "start": 914.782,
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      "text": "其实用三种类型来问好",
      "chunk": 1,
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      "avg_logprob": -0.14460372924804688,
      "no_speech_prob": 1.8920429459279298e-11,
      "compression_ratio": 1.449438202247191
    },
    {
      "start": 917.262,
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      "text": "这个是choose",
      "chunk": 1,
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      "compression_ratio": 1.449438202247191
    },
    {
      "start": 918.402,
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      "text": "choose ok",
      "chunk": 1,
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      "avg_logprob": -0.14460372924804688,
      "no_speech_prob": 1.8920429459279298e-11,
      "compression_ratio": 1.449438202247191
    },
    {
      "start": 919.842,
      "end": 921.042,
      "text": "这个呢就是它的问题",
      "chunk": 1,
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      "no_speech_prob": 1.8920429459279298e-11,
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    },
    {
      "start": 921.042,
      "end": 922.102,
      "text": "哪一个团队呢",
      "chunk": 1,
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      "avg_logprob": -0.14460372924804688,
      "no_speech_prob": 1.8920429459279298e-11,
      "compression_ratio": 1.449438202247191
    },
    {
      "start": 922.102,
      "end": 924.202,
      "text": "来处理这样的一个事情",
      "chunk": 1,
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      "no_speech_prob": 1.8920429459279298e-11,
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    },
    {
      "start": 924.202,
      "end": 924.542,
      "text": "对吧",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.14460372924804688,
      "no_speech_prob": 1.8920429459279298e-11,
      "compression_ratio": 1.449438202247191
    },
    {
      "start": 924.542,
      "end": 925.662,
      "text": "提供了三个选项",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.14460372924804688,
      "no_speech_prob": 1.8920429459279298e-11,
      "compression_ratio": 1.449438202247191
    },
    {
      "start": 925.662,
      "end": 927.362,
      "text": "这个是结算这个团队",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.14460372924804688,
      "no_speech_prob": 1.8920429459279298e-11,
      "compression_ratio": 1.449438202247191
    },
    {
      "start": 927.362,
      "end": 928.262,
      "text": "这个是技术这个团队",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.14460372924804688,
      "no_speech_prob": 1.8920429459279298e-11,
      "compression_ratio": 1.449438202247191
    },
    {
      "start": 928.262,
      "end": 929.202,
      "text": "这个销售这个团队",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.14460372924804688,
      "no_speech_prob": 1.8920429459279298e-11,
      "compression_ratio": 1.449438202247191
    },
    {
      "start": 929.202,
      "end": 930.882,
      "text": "这提供了三个选项",
      "chunk": 1,
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      "avg_logprob": -0.14460372924804688,
      "no_speech_prob": 1.8920429459279298e-11,
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    },
    {
      "start": 931.597,
      "end": 934.597,
      "text": "因為我們說過,truth嘛,對不對?",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.32948005805581304,
      "no_speech_prob": 1.116542188567271e-11,
      "compression_ratio": 1.5107692307692309
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    {
      "start": 934.597,
      "end": 937.597,
      "text": "你是要大模型給你做選擇,所以你提供這個選項給他。",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.32948005805581304,
      "no_speech_prob": 1.116542188567271e-11,
      "compression_ratio": 1.5107692307692309
    },
    {
      "start": 937.597,
      "end": 940.597,
      "text": "像ABCD,做選擇題,是這樣子。",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.32948005805581304,
      "no_speech_prob": 1.116542188567271e-11,
      "compression_ratio": 1.5107692307692309
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    {
      "start": 940.597,
      "end": 945.597,
      "text": "好,我們看第二個,就是分數,score,使用這個類型來進行回答。",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.32948005805581304,
      "no_speech_prob": 1.116542188567271e-11,
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    {
      "start": 945.597,
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      "text": "回答好那么他是什么呢",
      "chunk": 2,
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      "avg_logprob": -0.2045678002493722,
      "no_speech_prob": 2.0847171211535453e-11,
      "compression_ratio": 1.5153846153846153
    },
    {
      "start": 947.797,
      "end": 951.477,
      "text": "呃这个现在这个客户的这个什么啊",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.2045678002493722,
      "no_speech_prob": 2.0847171211535453e-11,
      "compression_ratio": 1.5153846153846153
    },
    {
      "start": 951.477,
      "end": 954.777,
      "text": "失望度呢怎么样对吗啊啊",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.2045678002493722,
      "no_speech_prob": 2.0847171211535453e-11,
      "compression_ratio": 1.5153846153846153
    },
    {
      "start": 954.777,
      "end": 955.697,
      "text": "什么怎么样啊OK",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.2045678002493722,
      "no_speech_prob": 2.0847171211535453e-11,
      "compression_ratio": 1.5153846153846153
    },
    {
      "start": 955.697,
      "end": 957.697,
      "text": "他同样的提供了三个什么呢",
      "chunk": 2,
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      "avg_logprob": -0.2045678002493722,
      "no_speech_prob": 2.0847171211535453e-11,
      "compression_ratio": 1.5153846153846153
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    {
      "start": 957.697,
      "end": 959.377,
      "text": "三种可能啊",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.2045678002493722,
      "no_speech_prob": 2.0847171211535453e-11,
      "compression_ratio": 1.5153846153846153
    },
    {
      "start": 959.377,
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      "text": "第一个呢就是冷静",
      "chunk": 2,
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      "avg_logprob": -0.2045678002493722,
      "no_speech_prob": 2.0847171211535453e-11,
      "compression_ratio": 1.5153846153846153
    },
    {
      "start": 960.537,
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      "text": "第二个呢是失望",
      "chunk": 2,
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      "avg_logprob": -0.2045678002493722,
      "no_speech_prob": 2.0847171211535453e-11,
      "compression_ratio": 1.5153846153846153
    },
    {
      "start": 961.917,
      "end": 963.937,
      "text": "而第三个是非常生气",
      "chunk": 2,
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      "avg_logprob": -0.2045678002493722,
      "no_speech_prob": 2.0847171211535453e-11,
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    {
      "start": 963.937,
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      "text": "就是你要根据什么",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.2045678002493722,
      "no_speech_prob": 2.0847171211535453e-11,
      "compression_ratio": 1.5153846153846153
    },
    {
      "start": 965.277,
      "end": 969.977,
      "text": "根据这个上下文来去对于这三个描述进行打分",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.2045678002493722,
      "no_speech_prob": 2.0847171211535453e-11,
      "compression_ratio": 1.5153846153846153
    },
    {
      "start": 969.977,
      "end": 971.137,
      "text": "打分",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.2045678002493722,
      "no_speech_prob": 2.0847171211535453e-11,
      "compression_ratio": 1.5153846153846153
    },
    {
      "start": 971.137,
      "end": 973.637,
      "text": "OK好我们再看第三个啊",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.2045678002493722,
      "no_speech_prob": 2.0847171211535453e-11,
      "compression_ratio": 1.5153846153846153
    },
    {
      "start": 973.637,
      "end": 975.217,
      "text": "第三个就是什么呢",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.2045678002493722,
      "no_speech_prob": 2.0847171211535453e-11,
      "compression_ratio": 1.5153846153846153
    },
    {
      "start": 975.597,
      "end": 979.197,
      "text": "那Noah这种类型其实就是",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.2678006405861962,
      "no_speech_prob": 2.3127758388974407e-11,
      "compression_ratio": 1.5335689045936396
    },
    {
      "start": 979.197,
      "end": 980.997,
      "text": "概率对吧是概率这个",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.2678006405861962,
      "no_speech_prob": 2.3127758388974407e-11,
      "compression_ratio": 1.5335689045936396
    },
    {
      "start": 980.997,
      "end": 984.197,
      "text": "那么也就是说你的问题一定是跟概率相关的是吧",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.2678006405861962,
      "no_speech_prob": 2.3127758388974407e-11,
      "compression_ratio": 1.5335689045936396
    },
    {
      "start": 984.197,
      "end": 986.197,
      "text": "这个信息它到底",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.2678006405861962,
      "no_speech_prob": 2.3127758388974407e-11,
      "compression_ratio": 1.5335689045936396
    },
    {
      "start": 986.197,
      "end": 989.597,
      "text": "也表示了它多么紧迫对吧",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.2678006405861962,
      "no_speech_prob": 2.3127758388974407e-11,
      "compression_ratio": 1.5335689045936396
    },
    {
      "start": 989.597,
      "end": 991.797,
      "text": "ok 那么这个时候你回答一个概率就可以了",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.2678006405861962,
      "no_speech_prob": 2.3127758388974407e-11,
      "compression_ratio": 1.5335689045936396
    },
    {
      "start": 991.797,
      "end": 993.397,
      "text": "好 我们再来看一下它的回答",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.2678006405861962,
      "no_speech_prob": 2.3127758388974407e-11,
      "compression_ratio": 1.5335689045936396
    },
    {
      "start": 993.397,
      "end": 996.397,
      "text": "因为你这里是三个类型的问题对吧",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.2678006405861962,
      "no_speech_prob": 2.3127758388974407e-11,
      "compression_ratio": 1.5335689045936396
    },
    {
      "start": 996.397,
      "end": 996.997,
      "text": "三个类型的问题",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.2678006405861962,
      "no_speech_prob": 2.3127758388974407e-11,
      "compression_ratio": 1.5335689045936396
    },
    {
      "start": 996.997,
      "end": 998.597,
      "text": "所以它的回答也是三个类型的",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.2678006405861962,
      "no_speech_prob": 2.3127758388974407e-11,
      "compression_ratio": 1.5335689045936396
    },
    {
      "start": 998.597,
      "end": 1000.197,
      "text": "我们看choose",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.2678006405861962,
      "no_speech_prob": 2.3127758388974407e-11,
      "compression_ratio": 1.5335689045936396
    },
    {
      "start": 1000.197,
      "end": 1001.397,
      "text": "choose就是",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.2678006405861962,
      "no_speech_prob": 2.3127758388974407e-11,
      "compression_ratio": 1.5335689045936396
    },
    {
      "start": 1001.397,
      "end": 1003.597,
      "text": "它首先要做出一个选择对吧",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.2678006405861962,
      "no_speech_prob": 2.3127758388974407e-11,
      "compression_ratio": 1.5335689045936396
    },
    {
      "start": 1003.597,
      "end": 1005.937,
      "text": "ABCD要选一个选一个选一个答案",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.21876554851290547,
      "no_speech_prob": 2.1746694722768467e-11,
      "compression_ratio": 1.5303030303030303
    },
    {
      "start": 1005.937,
      "end": 1006.737,
      "text": "对不对啊",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.21876554851290547,
      "no_speech_prob": 2.1746694722768467e-11,
      "compression_ratio": 1.5303030303030303
    },
    {
      "start": 1006.737,
      "end": 1008.337,
      "text": "但是结果是技术部门是吧",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.21876554851290547,
      "no_speech_prob": 2.1746694722768467e-11,
      "compression_ratio": 1.5303030303030303
    },
    {
      "start": 1008.337,
      "end": 1010.097,
      "text": "技术部门来处理这个问题啊",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.21876554851290547,
      "no_speech_prob": 2.1746694722768467e-11,
      "compression_ratio": 1.5303030303030303
    },
    {
      "start": 1010.097,
      "end": 1011.757,
      "text": "之前都是0.78啊",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.21876554851290547,
      "no_speech_prob": 2.1746694722768467e-11,
      "compression_ratio": 1.5303030303030303
    },
    {
      "start": 1011.757,
      "end": 1014.157,
      "text": "然后当然他也会给三个选项呢",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.21876554851290547,
      "no_speech_prob": 2.1746694722768467e-11,
      "compression_ratio": 1.5303030303030303
    },
    {
      "start": 1014.157,
      "end": 1015.457,
      "text": "每一个打一个分数啊",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.21876554851290547,
      "no_speech_prob": 2.1746694722768467e-11,
      "compression_ratio": 1.5303030303030303
    },
    {
      "start": 1016.657,
      "end": 1019.497,
      "text": "我们看第二个第二个问题",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.21876554851290547,
      "no_speech_prob": 2.1746694722768467e-11,
      "compression_ratio": 1.5303030303030303
    },
    {
      "start": 1020.397,
      "end": 1021.657,
      "text": "第二个问题是打分对吧",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.21876554851290547,
      "no_speech_prob": 2.1746694722768467e-11,
      "compression_ratio": 1.5303030303030303
    },
    {
      "start": 1022.237,
      "end": 1023.237,
      "text": "打分啊打分的话",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.21876554851290547,
      "no_speech_prob": 2.1746694722768467e-11,
      "compression_ratio": 1.5303030303030303
    },
    {
      "start": 1023.237,
      "end": 1025.997,
      "text": "他会对于三个情绪啊",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.21876554851290547,
      "no_speech_prob": 2.1746694722768467e-11,
      "compression_ratio": 1.5303030303030303
    },
    {
      "start": 1025.997,
      "end": 1028.257,
      "text": "但见到打分那很明显啊",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.21876554851290547,
      "no_speech_prob": 2.1746694722768467e-11,
      "compression_ratio": 1.5303030303030303
    },
    {
      "start": 1028.257,
      "end": 1029.457,
      "text": "这个呢呃",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.21876554851290547,
      "no_speech_prob": 2.1746694722768467e-11,
      "compression_ratio": 1.5303030303030303
    },
    {
      "start": 1029.457,
      "end": 1032.037,
      "text": "第二个情绪他的这个分值是会高的",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.21876554851290547,
      "no_speech_prob": 2.1746694722768467e-11,
      "compression_ratio": 1.5303030303030303
    },
    {
      "start": 1032.037,
      "end": 1034.557,
      "text": "也就是他当前的用户所表达这个情绪",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.31901083321406926,
      "no_speech_prob": 2.626109225911666e-11,
      "compression_ratio": 1.5748299319727892
    },
    {
      "start": 1034.557,
      "end": 1035.517,
      "text": "应该是这个是吧",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.31901083321406926,
      "no_speech_prob": 2.626109225911666e-11,
      "compression_ratio": 1.5748299319727892
    },
    {
      "start": 1036.597,
      "end": 1037.117,
      "text": "啊",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.31901083321406926,
      "no_speech_prob": 2.626109225911666e-11,
      "compression_ratio": 1.5748299319727892
    },
    {
      "start": 1037.157,
      "end": 1037.797,
      "text": "是这个",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.31901083321406926,
      "no_speech_prob": 2.626109225911666e-11,
      "compression_ratio": 1.5748299319727892
    },
    {
      "start": 1038.357,
      "end": 1039.237,
      "text": "这个情绪啊",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.31901083321406926,
      "no_speech_prob": 2.626109225911666e-11,
      "compression_ratio": 1.5748299319727892
    },
    {
      "start": 1040.357,
      "end": 1041.557,
      "text": "好我们看最后这个啊",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.31901083321406926,
      "no_speech_prob": 2.626109225911666e-11,
      "compression_ratio": 1.5748299319727892
    },
    {
      "start": 1041.997,
      "end": 1043.477,
      "text": "最后这个是要表",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.31901083321406926,
      "no_speech_prob": 2.626109225911666e-11,
      "compression_ratio": 1.5748299319727892
    },
    {
      "start": 1043.477,
      "end": 1045.197,
      "text": "要是输出一个概率是不是",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.31901083321406926,
      "no_speech_prob": 2.626109225911666e-11,
      "compression_ratio": 1.5748299319727892
    },
    {
      "start": 1045.197,
      "end": 1046.277,
      "text": "然后直接给了一个概率是不是",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.31901083321406926,
      "no_speech_prob": 2.626109225911666e-11,
      "compression_ratio": 1.5748299319727892
    },
    {
      "start": 1046.277,
      "end": 1047.237,
      "text": "这个最简单的啊",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.31901083321406926,
      "no_speech_prob": 2.626109225911666e-11,
      "compression_ratio": 1.5748299319727892
    },
    {
      "start": 1047.237,
      "end": 1049.517,
      "text": "一点点说明这个事情的紧迫度啊",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.31901083321406926,
      "no_speech_prob": 2.626109225911666e-11,
      "compression_ratio": 1.5748299319727892
    },
    {
      "start": 1049.517,
      "end": 1050.597,
      "text": "是非常非常大的",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.31901083321406926,
      "no_speech_prob": 2.626109225911666e-11,
      "compression_ratio": 1.5748299319727892
    },
    {
      "start": 1050.597,
      "end": 1051.157,
      "text": "对不对",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.31901083321406926,
      "no_speech_prob": 2.626109225911666e-11,
      "compression_ratio": 1.5748299319727892
    },
    {
      "start": 1051.317,
      "end": 1052.317,
      "text": "这个其实就是",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.31901083321406926,
      "no_speech_prob": 2.626109225911666e-11,
      "compression_ratio": 1.5748299319727892
    },
    {
      "start": 1052.597,
      "end": 1053.597,
      "text": "Jayv这个模型啊",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.31901083321406926,
      "no_speech_prob": 2.626109225911666e-11,
      "compression_ratio": 1.5748299319727892
    },
    {
      "start": 1053.597,
      "end": 1054.917,
      "text": "使用的这个",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.31901083321406926,
      "no_speech_prob": 2.626109225911666e-11,
      "compression_ratio": 1.5748299319727892
    },
    {
      "start": 1055.197,
      "end": 1056.477,
      "text": "这样的一个方式啊",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.31901083321406926,
      "no_speech_prob": 2.626109225911666e-11,
      "compression_ratio": 1.5748299319727892
    },
    {
      "start": 1056.477,
      "end": 1057.597,
      "text": "其实就是掉接口",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.31901083321406926,
      "no_speech_prob": 2.626109225911666e-11,
      "compression_ratio": 1.5748299319727892
    },
    {
      "start": 1057.597,
      "end": 1058.317,
      "text": "然后呢",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.31901083321406926,
      "no_speech_prob": 2.626109225911666e-11,
      "compression_ratio": 1.5748299319727892
    },
    {
      "start": 1058.317,
      "end": 1058.597,
      "text": "啊",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.31901083321406926,
      "no_speech_prob": 2.626109225911666e-11,
      "compression_ratio": 1.5748299319727892
    },
    {
      "start": 1058.597,
      "end": 1059.317,
      "text": "接口里面呢",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.31901083321406926,
      "no_speech_prob": 2.626109225911666e-11,
      "compression_ratio": 1.5748299319727892
    },
    {
      "start": 1059.317,
      "end": 1061.077,
      "text": "需要描述你的这个问题",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.31901083321406926,
      "no_speech_prob": 2.626109225911666e-11,
      "compression_ratio": 1.5748299319727892
    },
    {
      "start": 1061.077,
      "end": 1063.077,
      "text": "其实需要提供一个上下文啊",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.37168070191111646,
      "no_speech_prob": 3.5469075593264066e-11,
      "compression_ratio": 1.4403669724770642
    },
    {
      "start": 1063.077,
      "end": 1064.677,
      "text": "把你的这个情况给交代啊",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.37168070191111646,
      "no_speech_prob": 3.5469075593264066e-11,
      "compression_ratio": 1.4403669724770642
    },
    {
      "start": 1064.677,
      "end": 1066.837,
      "text": "这个做用gp",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.37168070191111646,
      "no_speech_prob": 3.5469075593264066e-11,
      "compression_ratio": 1.4403669724770642
    },
    {
      "start": 1066.837,
      "end": 1067.837,
      "text": "用chat gpt",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.37168070191111646,
      "no_speech_prob": 3.5469075593264066e-11,
      "compression_ratio": 1.4403669724770642
    },
    {
      "start": 1067.837,
      "end": 1068.837,
      "text": "gpt或者glowd",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.37168070191111646,
      "no_speech_prob": 3.5469075593264066e-11,
      "compression_ratio": 1.4403669724770642
    },
    {
      "start": 1068.837,
      "end": 1069.317,
      "text": "都是一样的",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.37168070191111646,
      "no_speech_prob": 3.5469075593264066e-11,
      "compression_ratio": 1.4403669724770642
    },
    {
      "start": 1069.317,
      "end": 1070.637,
      "text": "要提供一个上下文对不对",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.37168070191111646,
      "no_speech_prob": 3.5469075593264066e-11,
      "compression_ratio": 1.4403669724770642
    },
    {
      "start": 1070.637,
      "end": 1071.637,
      "text": "然后就是问题",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.37168070191111646,
      "no_speech_prob": 3.5469075593264066e-11,
      "compression_ratio": 1.4403669724770642
    },
    {
      "start": 1071.637,
      "end": 1074.637,
      "text": "如果说是truth或者说score",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.37168070191111646,
      "no_speech_prob": 3.5469075593264066e-11,
      "compression_ratio": 1.4403669724770642
    },
    {
      "start": 1074.637,
      "end": 1076.517,
      "text": "那么还需要提供这个选项",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.37168070191111646,
      "no_speech_prob": 3.5469075593264066e-11,
      "compression_ratio": 1.4403669724770642
    },
    {
      "start": 1076.877,
      "end": 1077.637,
      "text": "啊OK",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.37168070191111646,
      "no_speech_prob": 3.5469075593264066e-11,
      "compression_ratio": 1.4403669724770642
    },
    {
      "start": 1077.637,
      "end": 1078.757,
      "text": "那么结果呢",
      "chunk": 2,
      "language": "zh",
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    {
      "start": 1078.757,
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      "text": "就对方就会提供一个",
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    {
      "start": 1080.517,
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      "text": "啊json的这样的一个结果化的",
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    {
      "start": 1082.437,
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      "text": "一个字符传给到我们啊",
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    {
      "start": 1084.277,
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      "text": "他这个时候",
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    {
      "start": 1084.917,
      "end": 1085.637,
      "text": "大家就会问了",
      "chunk": 2,
      "language": "zh",
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    {
      "start": 1085.637,
      "end": 1087.277,
      "text": "这这东西到底有什么用对吧",
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    {
      "start": 1087.277,
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      "text": "能用在哪个地方",
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    {
      "start": 1088.917,
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      "text": "啊好像没有这个chat gpt",
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    {
      "start": 1090.917,
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      "text": "这种这么方便",
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      "text": "什么都可以问",
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    {
      "start": 1093.537,
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      "text": "然后他多给你一个回复",
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      "start": 1095.097,
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      "text": "是不是",
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      "start": 1095.337,
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      "text": "但其实这个场景是非常多的",
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      "start": 1098.377,
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      "text": "我们来看一下他的场景",
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      "start": 1099.697,
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      "text": "其实很多时候",
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      "text": "其实并不需要用GPT这种模型",
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      "text": "因为他成本太高了",
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      "text": "第一个就是成本高",
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    {
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      "text": "第二个就是什么",
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    {
      "start": 1107.617,
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      "text": "就是他的延时太高了",
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    {
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      "text": "就是处理一个问题要好几秒",
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    {
      "start": 1112.517,
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      "text": "他这个几百毫秒就能解决",
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    {
      "start": 1114.357,
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      "text": "是不是",
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    {
      "start": 1114.617,
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      "text": "所以我们这个时候来看一下",
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    {
      "start": 1116.177,
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      "text": "他的场景",
      "chunk": 2,
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    {
      "start": 1117.717,
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      "text": "第一个场景其实就是",
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    {
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      "text": "我们用在agent里面",
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    {
      "start": 1120.337,
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      "text": "比如说浏览器与这个电脑的使用",
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    {
      "start": 1124.577,
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      "text": "比如说什么",
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    {
      "start": 1126.337,
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      "text": "识别这个页面状态",
      "chunk": 2,
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      "avg_logprob": -0.21031354508309993,
      "no_speech_prob": 2.728830182652242e-11,
      "compression_ratio": 1.4830188679245282
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    {
      "start": 1130.057,
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      "text": "判断下一个动作",
      "chunk": 2,
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    {
      "start": 1131.277,
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      "text": "因为它的这个动作",
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    {
      "start": 1133.317,
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      "text": "其实是有限的嘛",
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    {
      "start": 1135.097,
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      "text": "对不对",
      "chunk": 2,
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    {
      "start": 1135.317,
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      "text": "点击输入下拉对不对",
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    {
      "start": 1137.857,
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      "text": "就哪怕我玩游戏也是一样的",
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    {
      "start": 1139.877,
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      "text": "玩游戏它动作就那么点",
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    {
      "start": 1141.737,
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      "text": "选项只有那么多",
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    {
      "start": 1142.737,
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      "text": "对不对",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.21031354508309993,
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    {
      "start": 1143.037,
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      "text": "你可以把它选项全部列出来",
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    {
      "start": 1144.637,
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      "text": "是不是",
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    {
      "start": 1144.917,
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      "text": "列出来给它就可以了",
      "chunk": 2,
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    {
      "start": 1147.577,
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      "text": "也就是说这种操作是有限的操作",
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    {
      "start": 1149.977,
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      "text": "其实非常适合用J5这种模型来处理的",
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    {
      "start": 1152.977,
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      "text": "还有智能工具路由",
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    {
      "start": 1154.597,
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      "text": "对吧",
      "chunk": 2,
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    {
      "start": 1154.937,
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      "text": "坚准选择工具",
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    {
      "start": 1156.277,
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      "text": "搜索数据库邮件询问用户",
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    {
      "start": 1158.817,
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      "text": "比如说安全降与分控",
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    {
      "start": 1160.897,
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      "text": "就是高危操作前的快速的安全判断",
      "chunk": 2,
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      "start": 1164.737,
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      "text": "高频游戏",
      "chunk": 2,
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    {
      "start": 1166.797,
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      "text": "说实话",
      "chunk": 2,
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    {
      "start": 1167.597,
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      "text": "昨天我还用J5来去玩俄罗斯方块",
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    {
      "start": 1172.757,
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      "text": "因为俄罗斯方块的话",
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    {
      "start": 1174.277,
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      "text": "其实说实话",
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    {
      "start": 1174.877,
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      "text": "它只有那几种选项",
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    {
      "start": 1175.957,
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      "text": "对不对",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.15879667323568594,
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    {
      "start": 1176.237,
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      "text": "你把选项全部列出来就可以了",
      "chunk": 2,
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      "no_speech_prob": 2.3794523643094756e-11,
      "compression_ratio": 1.3277027027027026
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    {
      "start": 1177.897,
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      "text": "用J5进行判断",
      "chunk": 2,
      "language": "zh",
      "avg_logprob": -0.15879667323568594,
      "no_speech_prob": 2.3794523643094756e-11,
      "compression_ratio": 1.3277027027027026
    },
    {
      "start": 1179.877,
      "end": 1182.277,
      "text": "最高他支持255种选项",
      "chunk": 2,
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    {
      "start": 1182.277,
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      "text": "是不是",
      "chunk": 2,
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    {
      "start": 1182.557,
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      "text": "那其实生活中绝大部分",
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    {
      "start": 1185.017,
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      "text": "其实实验绝大部分场景的",
      "chunk": 2,
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    {
      "start": 1186.657,
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      "text": "就有几少数场景",
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      "text": "它是一种无限可能的",
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      "text": "对不对",
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      "text": "绝大部分场景都是有限可能的",
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      "text": "是不是",
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    {
      "start": 1192.057,
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      "text": "我们这个只要把动作",
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    {
      "start": 1194.617,
      "end": 1195.437,
      "text": "全部罗列出来",
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      "text": "就可以这样交给他去判断",
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      "start": 1197.137,
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      "text": "他又快成本又低",
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      "text": "是不是",
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      "start": 1199.737,
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      "text": "好给我们看一下",
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      "text": "比如说客户公单与客户",
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      "text": "消息智能处理平台",
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      "text": "比如说公单的分类",
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      "text": "是吧",
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    {
      "start": 1206.077,
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      "text": "是物流问题",
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      "text": "账单问题",
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      "start": 1207.357,
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      "text": "产品故障还是投诉",
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      "text": "对吧",
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    {
      "start": 1208.777,
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      "text": "比如说紧急度打分",
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      "start": 1210.537,
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      "text": "这个情绪的强烈度",
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    {
      "start": 1213.097,
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      "text": "对不对",
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    {
      "start": 1213.717,
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      "text": "还有这个比如说像这个Node核心判断",
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      "start": 1217.257,
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      "text": "是不是退款",
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      "text": "是不是辱骂",
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      "text": "是不是需要人工进入",
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    {
      "start": 1221.377,
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      "text": "对不对",
      "chunk": 2,
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      "text": "做的非常非常适合用",
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      "text": "我们的Jail这个模型来处理",
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      "text": "真的非常非常方便",
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      "text": "所以以后做这个智能体",
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      "text": "它一定是什么",
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      "text": "一定是Jail",
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      "text": "一定是Jail和这个GPT或者和Lode",
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      "start": 1233.677,
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      "text": "进行配合使用",
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      "start": 1235.517,
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      "text": "就现在硅谷已经基本上",
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    {
      "start": 1237.257,
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      "text": "是这两个组合在一起使用了",
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      "start": 1238.817,
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      "text": "啊",
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      "start": 1239.457,
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      "text": "就跟我",
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    {
      "start": 1239.897,
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      "text": "根据我所找的信息",
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    {
      "start": 1241.177,
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      "text": "就是他们现在已经在调整自己的决策了",
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    {
      "start": 1243.697,
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      "text": "都是使用J5加什么",
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      "text": "加GPT来做这个智能体",
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      "text": "因为GPT其实实在是太贵了",
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      "start": 1249.457,
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      "text": "知道吗",
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      "start": 1250.217,
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      "text": "啊",
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    {
      "start": 1250.497,
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      "text": "好用就好",
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      "start": 1251.237,
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      "text": "它实在是贵",
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      "start": 1252.017,
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      "text": "而且效率比较低",
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    {
      "start": 1253.037,
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      "text": "所以不是所有的场景都适合用GPT键理",
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    {
      "start": 1256.177,
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      "text": "啊",
      "chunk": 2,
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      "start": 1257.037,
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      "text": "其实少",
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      "text": "就是大部分场景",
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      "text": "其实都是比较适合用J5来做处理的",
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    {
      "start": 1260.497,
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      "text": "还比如说这个内容与文档的拼尿删讯",
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      "text": "有些分类",
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      "start": 1264.137,
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      "text": "是不是",
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      "start": 1264.677,
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      "text": "啊",
      "chunk": 2,
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    {
      "start": 1265.337,
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      "text": "只要",
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    {
      "start": 1265.577,
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      "text": "就是只要给一个标记就可以了",
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    {
      "start": 1267.377,
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      "text": "对吧",
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    {
      "start": 1267.657,
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      "text": "还有评论",
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      "start": 1268.937,
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      "text": "消息删选",
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    {
      "start": 1269.817,
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      "text": "对不对",
      "chunk": 2,
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    {
      "start": 1270.777,
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      "text": "说实话",
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    {
      "start": 1272.717,
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      "text": "你之前给几个标签给它",
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      "start": 1274.997,
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      "text": "是不是",
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