{
  "text": "我给Octop记忆定义的就是给Agent一个能带走的记忆\n我们的多专家多Agent的并行\n如何来重录我们的记忆\nHello 大家好\n大家晚上好\n欢迎大家来到今天的直播间\n我是今天的主持人娇娇\n欢迎大家再次来到云上AI工坊的直播间\n那么今天这期的主角是Octop\n一个刚刚开源的自演的AI助手\n今天我们也会针对他多专家多用户\n多Agent的并行这样子的一个特征\n去采取一些实战的案例分析\n比如说我不知道直播间的各位\n有没有一些做行业分析\n竞品分析这样子的一个日常的工作需求\n那么我们也会针对这样子的一个\n实战的场景来打造这个Octop重塑\n竞品分析工作流这样子的一个实战案例\n同时也会涉及到一些多agent的博弈\n比如说大家不知道喜不喜欢吃豆腐脑\n我们本场直播也会给大家在线\n围观一下这个豆腐脑\nAI它是如何进行填写的辩论的\n同时大家上一场直播中\n其实也有关注到\n我们这个Octop它的一个记忆机制是怎么样的\n什么东西是该记忆的\n什么是该召回的\n那么本场直播大家不用着急\n我们也会给大家详细的去拆解Octop的记忆机制\n话不多说\n我们也简要的介绍一下今天的两位嘉宾\n首先是Octop的研发工程师英宁\n另外一位杨直\n也是我们的Octop的研发工程师\n我们先来讲\n本期的一个Octop基础的模块介绍\n就是记忆\n我上一期应该就是给大家演示了\n我们Octop的记忆面板\n然后这期我们会给大家详细带来一下\nOctop的记忆\n它是怎么记的\n它又为什么好\n话不多说\n让我们开始\n首先可以看到标题\n我给Octop记忆定义的就是\n给Agent一个能带走的记忆\n如果想到能带走\n我想问一下杨直跟焦焦\n首先想到的是什么\n它一定可以从不管是Open Cloud还是Harmor\n都可以迁积到我们的Octob\n对\n是的\n我也是这样想的\n是的\n那其实就是这样\n不知道现在在看直播的朋友\n有没有我们以前的老用户\n给大家说一下\n我们的Octob其实是有个前身\n就是叫LiCloud ACE\n如果一直关注咱们腾讯服务器直播间的朋友\n应该听说过这个产品或名词\n现在我们推出了全新升级版Octob\n同时我们也在GitHub开源了\n感兴趣的粉丝朋友们也可以去搜索Octop\n看看我们的代码给我们提交PR或issue\n也请多多fork我们仓库以及给我们start\n是的 欢迎提论区的大佬们\n多多的为我们的项目去提出建设性的意见\n首先那继续给大家讲解记忆\n那我们现在记忆其实现在是一个七层的记忆结构\n和两条相反的流水线\n那两条方向相反流水线是什么\n就是沉淀和召回\n其实这两个名词有点晦涩难懂\n但是没有关系\n后面听我讲大家就能懂了\n首先给大家介绍一下Octop memory是什么\n它其实是一个面向agent的可插拔长期记忆系统\n也就是它其实不只适用于我们Octop\n因为在我们推出AC的memory的时候\n其实很多粉丝朋友就问\n说那如果你们一直在说你们memory好\n那能不能做个独立的插件\n像外面的那些memory插件一样\n他们就是想接在OpenCloud使用\n接在Hermus使用\n当时给大家的回复是\n我们未来会推出\n那现在随着我们全新升级的Octop推出\n对我们Octop Memory\n也迎来一个可插拔的长期记忆系统\n现在我们Octop Memory也支持\n就是在Hermus上使用\n在OpenCloud上使用\n以及刚刚我们说可以带走的记忆\n也就是说你的记忆\n其实是跟着我们Octop Memory走\n并不是说是依赖agent本身\n如果你在Octop上\n你就是用了一段时间\n你想我带着这份记忆\n我去试一下\n那OpenCloud是怎么样的\nHermes是怎么样的\n是不是你们Octop真的说着\n比OpenCloudHermes好\n那是真的好吗\n那没关系\n你就可以带着我们的记忆\n去实地感受一下\n对我们现在是可以支持\n这个功能的\n那是不是可以理解为\n只要拥有这个插件\n其实我们的记忆就可以灵活的\nOpenCloud Hermes之间去牵引使用\n是的是的就是这样的\n对\n那这个功能也太方便了\n那真的是一个挺大的优势\n是的\n因为之前我们每个组件都是聚合在一起的\n是在我们前身ACE版本\n如果了解的粉丝朋友应该也知道\n但我们现在随着我们全新的功能升级\n我们架构也迎来了一个升级\n在后面我们也会陆续开源我们每个组件\n如果感兴趣的朋友\n可以先给我们仓库点个star\n或后续我们开源其他组件\n我们也会通知各位观众朋友\n对\n是的\n大家把这个star给点起来\n我刚刚其实也介绍了\n我们Octop在最上层\n然后我们也有browser\n也有givet\n包括我们的运行时\n那今天我们其实要给大家带来的是\nOctop Memory\n在介绍Octop Memory之前\n那其实今天还没有遇到那个经典问题\n我包括在之前来到直播间\n大概五六七八次\n不管是在建议的时候\n或者是Octop的时候\n粉丝朋友总会在评论区问\n那你们跟谁谁有什么不一样\n那之前其实都是很口语化的给大家解答\n但是今天我作为一个经验丰富的老主播\n我就是预设到了这个问题\n那我就是加了一页HTML\n跟大家好好讲讲\n我们on top到底跟别人有什么不一样\n其实可以从四维看见\n其实就有四个维度\n一个是多用户\n一个是个人\n以及一个是编码场景\n一个是通用办公和生活场景\n那这时候其实我想问一下\n焦焦和杨直\n其实正好是一个运营同学\n一个研发同学\n那你们在工作中\n其实用哪个agent用的比较多\n其实我在日常工作中\n这几个都有使用\n首先就是我们云上的这个lighthouse\n是我自己一直持续有氧的\n我们的一个桌面的agentworkbody\n其实也有在使用的\n我觉得他们可能在不同的场景\n和不同的任务\n它各有优利\n这几个都有使用\n那我平时觉得\nWorkbody去做一些\n文档编辑是很方便的\n对\n但对于一个研发工程师\n可能来说\n像Codex\n像Cloudcode这种编码\n包括我们的腾讯\n推出的Codebody\n也是非常好的一个编码工具\n这些都在使用\n粉丝朋友也有说\n有用这个Workbody\n有用Hermes都在用\n对\n我也看到一个问题\n是说这个记忆写入时\n有没有去重合\n冲突的消解机制\n如何处理\n同一事实的不同表述\n这个问题挺好的\n对\n看来这个Nome粉丝朋友\n其实是有关注记忆组件的\n那其实我们去虫和冲突消解机制是有的\n其实先给大家看一下后续的PPT\n那我们其实有七层结构\n第一层是memory.md\n如果养过虾的朋友可能就知道它是什么\n对于Open Cloud和Hermas\n它都会全量进入一个上下文\n做一个比较全的记忆\n当然我们也会同步这个操作场景\n对于我们自己的记忆\n首先我们就有一个ROEvent\n就是一个最底层的事实\n也就是对话数据源\n然后我们会有一个Candidate\n如果我们会有一套记忆的上升规则\n就是关于长期记忆\n有事实记忆\n有情景记忆\n以及用户的一些信息\n那如果你触发到了我们的规则\n那就会进入Candidate\n那在Candidate层\n那这个记忆会做什么\n其实就是一个沉淀\n那首先他会去判断你的\n这条记忆是闲聊噪声还是真的是实\n如果是重要性低和自信度低的话\n他就会选择一个丢弃\n其实我们这个记忆其实最重要的就是\n他必须正确\n就是他永远都会有一个reference\n可以指挥刚刚我们所谓的Rone Event\n一个Elling的原始事件\n因为这样我们\n我当时在考虑做这个记忆的时候\n其实想打造成一个可追溯的记忆\n并不是说像OpenCloud或者Hermas一样\n如果大模型觉得该写\n他就去写这个memory.md\n后面可能记错了\n或者说是记的事实有误的时候\n其实想追溯\n你其实并不知道\n他是什么时候把这个错误信息写了进去\n所以我在设计这个记系统的时候\n就有非常严苛的reference地址\n如果过了这两道检查关卡\n其实就会到一个我们的entity\n那这里可能就会有朋友问的去重合冲突\n那其实在entity这里\n可以给大家先在我们这里看一眼\n那其实我们会有个记忆数\n那其实每个entity下面\n每个主体下面都会有记忆\n那如果有一条新的记忆进来\n它会看是属于这个user自己的\n或者是哪个人物的\n或者是某个事实的\n当然你有了这些事实和人物之后\n你觉得这条记忆不好或者不重要\n或者你不想让它参与以后的记忆交回\n你可以把它弃用掉\n对\n一\n这个冲突消解会是在这个entity的时候\n它会读取你之前的记忆\n然后进行一个entity的重构\n你看这里也有\n如果和事实矛盾\n它会进冲突对立\n如果冲突对立在哪\n其实是在我们的记忆沉淀这里\n那我现在没有冲突的\n如果有冲突的\n它会希望你去check\n对\n看如果存在矛盾\n就尽\n如果你点采纳\n或你可以点轰略\n但是如果你七天没有的话\n它会判断是新的记忆自动采纳\n对\n我们先给大家回答一下\n几个高频的问题\n就是说我们的October和其他的产品\n它的定位有什么不同\n以及它的优势在哪里\n先给大家讲完\n我们待会儿\n我也会详细地讲解到记忆\n大家有关于记忆的\n可以一起提问\n那其实从包括\n我其实刚刚也问了\n焦焦和扬之两个问题\n那其实研发可能就用Cloud Code\n用Codex\n包括我们公司的Codebody比较多\n办公可能就是我们Workbody\n现在其实也有些同事\n会用CC或者Codex\n就是做一个办公场景的Agent\n生活场景其实就是OpenCloud Hermes\n我们其实是处于这个项线位\n那其实首先比起个人\n我们Oktop肯定是多用户的\n我们是支持多用户\n如果上一期直播\nOctop第一期直播\n没有看的观众朋友们\n可能是这里可以给大家介绍一下\n你在一台服务器\n部署了我们Octop\n你有一个主用户\n你也可以创建许多子用户\n去分给你\n不管是家人朋友\n你们可以一起共享这个Octop\n他们彼此之间的工作空间和记忆\n是隔离的\n只有一个龙虾\n就可以供一个小团队\n或者一家人去使用\n对\n不同的A型\n可以用不同的记忆\n对的\n刚刚说到\n不同的Agent\n首先每个用户肯定记忆隔离\n其实上期直播也讲了多agent\n我们在一个用户的多agent下\n每个agent也是记忆隔离的\n这样就是防止我们记忆紊乱\n对\n是的\n到我们的粉丝朋友\n开头的问\nOctob是一个桌面应用程序吗\n这也是涉及到我们的定位问题\nOctob我们现在是一个开源的一个agent\n我们未来会推出轻量云应用镜像\n我们也支持PWA安装成应用程序\nPWA安装在桌面上\n如果后续有期待桌面客户端\n我们有精力也会投入\n最多可以支持用户\n最多就应该是看你服务系性能了\n如果你买个很多\n8核8G或者多核多G\n其实就可以承载很多个用户\n还有粉丝朋友问\n这个目的是用在\nOnCloud Hermes Workbody上面吗\n其实我们就是一个独立的agent\n对\n独立的agent\n就是跟OpenCloud\nHermas Workbody\n我们同位agent\n可能有些相似或不同的功能\n其实刚刚就讲到\n首先我们是独用户\n我们其实是\n办公和生活场景\n都是比较通用的\n像我们Octop可以用来做PPT\n包括后面养殖会演示的竞品调研\n同时关注过我们直播间的朋友\n我们之前有个很火的直播\n就是我们的产品\nAnthel\n他在用ACE养娃\n对这个场景也同时迁移到了我们的Octop上\n大家也可以尝试一下用Octop养花\n对包括我自己啊\n我在用Octop做我的健康管理助手\n对其实办公和生活场景我们都能cover\n大家感兴趣的话可以都试一下\n可以直接作为记忆题给Workbody\n也就是我们的Hanath Memory\n也就是我们的Octop Memory\n我们现在还没有提供接入Workbody的记忆\nWorkbody我理解他们应该有一个原生的记忆\n对我其实下面列了\n我们到底和别的记忆\n有什么不一样\n那Workbody它其实\n记忆是产品内封装的\n如果后续大家感兴趣\n可以说去看看\n怎么合作对接一下\n对\n我问了一个非常经典的\n为啥叫Octop\n其实上一期直播\n也有朋友问\n那给我们取这个名字\n其实是我们的一名主播\n他原来想一个名字\n叫Octopus\n就是Octopus\n就是章鱼\n因为我们多用户\n多专家\n还有多智能体非常多\n就像章鱼非常多的触手一样\n所以我们想了Octopus\n但是为了一是好发音\n二是我们比较想要Top这个后缀\n所以我们改名叫On Top\n那我看我们也是列举了\n不同的形态的Agent的区别\n您这一块可以给我们详细的介绍一下吗\n直播间的粉丝朋友们可以截图保存\n大家如果对这一块\n不仔细的可以截图保存一下\n其实我理解大家问的最多应该是Open Cloud Hermes\n跟我们到底有什么不一样\n其实Cloud Code和Codex就是一个编码agent\n大家用的最多的也是我们直播间出现最多的\n就是Open Cloud Hermes\n然后它跟我们一个最大区别是\n我们其实是一个多专家\n包括一个用户你可以创建非常多的专家\n也就是你可以就比如我和杨直\n我们俩是一个小团队\n我是Admin\n我可以创建我自己的生活助理和办公助理\n这两个助理都在Octop\n都使用一个Octop\n他们工作区和记忆是完全隔离的\n同时我还可以创建一个子用户给杨指\n杨指也可以创建属于他自己的多专家\n对\n每个专家对于IM渠道都是隔离的\n所以如果想要就可以生活场景\n就在微信上接入\n办公场景\n我们就连飞书或起飞或丁丁\n我们也都支持\n对\n其实这是一个最大的不同\n像OpenCloud和Hermes\n他们都是个人Agent\n包括他们也只支持单人用户\n我们是多用户\n然后一人部署全家\n关键问题是\n你这个产品支持多少个通道\n我们这也有介绍的\n是的\n我们其实支持\n飞书丁丁 启威 QQ\n很多通道\n像我可以在这个里面\n这就是我们实际的产品面板\n可以给大家看一下\n支持微信 QQ 启威 启威 元宝\n包括华为的小益\n也小易都可以\n对包括这个MQTT也可以看\n刚刚我举例一个用户有多个专家\n他们每个人其实都可以配那么多的通道\n每个专家可以配多通道\n对是的\n那还是很全面的\n是的欢迎大家使用\n有用户在问我们官网地址是什么\n我们官网地址是好给大家放大一下\n请搜Github\n在我们Tencent Cloud项目下的OCTO\n对也欢迎大家记得支持我们的产品\nGateStar\n对那我现在回答现在一下这个用户\nQQ是不是只是单鸟\n如果是群鸟是不是还得用QQBot\n那么非常感谢这位用户的提问\n这个QQ群鸟现在已经支持了\n但是我们未来会继续拓展我们的QQ群鸟\n包括我们的QQ的一个多Agent\n会接入到我们的包括QQ频道\n我们也可以用家庭群\n我们也会接入我们的Agent\n每个家庭用户都有机会在里面提问\n这是我们下一步的打算\n没错可以多个Agent\n当然可以了\n我们当然可以用多个Agent在一个聊天框里面去执行共同任务\n的话我们会展示的\n对其实关于我讲的记忆的话\n像OpenCloud和Hermes\n他们其实都是把他们的MD\n加入就是系统提示词\n然后被读到\n你要记的时候就是叫OpenCloud和HermesAgent本身去写Memory的MD\n那我们其实讲到稍微提了一点关于沉淀和召回\n包括我们的牵引能力\n后续我会细讲\n对其实还有很多功能\n包括ACP其实刚刚有提到\n大家用Cloud Code和Codex重做\n那其实我们和\n不管是Cloud Code还是Codex\n甚至Codebody OpenCode\n我们并不是竞品\n我们其实是可以调用它们的能力的\n因为Octop有个鞋叫ACP\n可以通过ACP\n就是连接上Codec\nCodec\n你如果想编程\n你想用更成熟的Codeagents\n你就可以把任务委派给他们\n也是在我们Octop里是可以实现的\n有粉丝朋友问能自己部署吗\n可以的\n请关注我们的Octop GitHub仓库\n然后在我们的ReadMe里\n有详细的字部署教程\n如果是想用镜像一键部署的话\n我们未来也会提供镜像\n可以在腾讯控制台直接购买\n也是使用腾讯轻量服务器\n对我们后续会提供轻量服务器的镜像\n很快\n本周或者下周\n我们现在有一点最后的工作\n我们即将会出\n对欢迎大家\n即使关注我们轻量\n我们会适时推出我们的GTOP镜像\n也就是以前我们的ACE镜像\n用户也可以升级到GTOP镜像\n对了我们的ACE是不是要升级了\n是的我们也会提供轻易工具\n既然说到这了\n那就给大家演示一下\n如果有我们的老用户的话\n可以看可以更新到我们最新的0.1.31版本\n认准我们0.1.31版本\n在高级设置里可以看到一个导出到Octop\n然后这里就可以导出到Octop\n可以打包一个备份\n可以看到这个备份其实已经就是\n就是TAR包下下来了\n然后再打开我们的Octop\n然后再应用设置有个备份与恢复\n首先就上传我们刚刚\n你看这就是19.32刚刚那个备份\n我们把它上传了\n然后我们就点恢复\n请大家记住我们的用户名就是the mean\n密码就是之前在litecloud设置的那个密码\n我们继续来学习你的记忆机制\n其实刚刚给大家也讲了\n我们跟opencloud跟hermas\n包括跟cloudcode和codex\n在产品上和记忆上有什么不同\n那octop memory到底是怎么样的呢\n那就给大家其实我在PT里给大家做个比喻\n如果把我们的记忆比做成一家暴数\n那我们常驻的除了常驻的memory.md文件之外\n那其实我们刚刚其实介绍有个roll event\n它就是一个录音笔\n就是你跟Octop说了什么\n它都会记住\n然后它永远是一个证据源\n我们刚刚说到在记忆召回的时候\n不管召回的是哪条记忆\n最后都能refer就能溯源到\n你跟Octop的对话\n就是保证我们记忆永远是正确的一个机制\n所以它是一个录音笔\n下一层就是一个candidate\n就是记者出稿\n那就是大模型从原始对话中\n就是从用户跟Octop对话中\n抽取出的候选事实\n但是为什么是出稿呢\n因为它只是一个候选事实\n它还没有见报\n在candidate这一层解决完冲突\n通过用户审核\n然后在重要性和智信度上面\n有所筛选之后\n然后它才会晋升成一个\nATOM card\n就是一个正式简报\n当然这也是我们在\n就是我们的Octop面板中会看到的记忆\n它也是我们的召回主力层\n当然后面我们会讲到召回\n除此之外\n我们还有一个日记层\n那这个其实是除了上面的事实\n之外的东西\n就是一些装饰时过滤掉的东西\n比如是生活事件和情绪\n它是和事实管线病情跑的\n并不污染\n了解我们AC和Octop的话\n知道我们会有一个主动关心机制\n那其实这个机制就是\n探查到用户的心情\n在用户开心的时候会鼓励他\n以及在用户低落的时候会安慰他\n在Octop里其实就是靠着我们这个日记层\n其实我们还有人物词条\n所有的正式箭报的原子卡片\n都会在一个人物词条下\n它会把原子卡片归类到人物词条\n包括用户人物事实\n在这样就会每条原子卡片之间\n就会产生联系\n最后是神器流水\n因为听课的观众朋友们\n可能就会有问题\n那所有记忆的生成都靠大模型\n那它是怎么做的\n那其实就是神器流水\n它可以记住大模型\n从哪一条事实中\n那个对话中提取到了\n哪些候选\n候选怎么进生存原子卡片\n都会在我们的面板中一一显示\n包括删除包括冲突\n对\n那其实我有一个小白的问题\n想问一下英明\n不知道直播间有没有类似的问题\n关于我们记忆\n它的一个沉淀和召回\n它具体指的是什么\n这个概念怎么理解\n记忆的沉淀\n像焦焦其实有在\nOpenCloud和Hermes\n那比如说\n那你最近一个问你的\nHermes的问题是什么\n焦焦\n你可以告诉我们\n你在什么一个场景下用了它\n就比如说最近一次让他帮我撰写一下\n我们这个直播的整个的策划\n对那关于你和他在这个对话中\n那记忆的沉淀他会记住\n我的主人叫焦\n那今天其实是叫我帮忙撰写这个直播的计划\n那他会根据你给他提示词沉淀一下\n焦在今天那他参与了主题什么什么的直播\n他就会根据你的对话\n然后记住一些有用的事实\n或者你今天做的事情\n这就是记忆的沉淀\n对\n那什么是召回呢\n那比如说\n那下次直播的时候\n如果你再跟你的龙虾对话\n其实如果就是人与人之间对话\n比如说\n比如说我昨天跟杨子说\n那我可能昨天跟杨子说\n我最近有点上火\n那可能我今天说\nOK我要去吃炸鸡\n那杨子就会想起\n那我说我昨天有点上火\n他就会可能想起这个相关性\n那其实agent也会这样\n如果你下次跟他说\n你又要撰写一个直播的\nPPT或者直播的大纲了\n他应该像人一样想起\n你之前跟他说过的相似的对话\n然后来帮助你更好的去优化你的工作\n工作这就是记忆的召回\n了解了\n好的学到了\n那其实刚刚讲那么多\n那就来实力演练一下\n那假如这个用户\n在一台安装了Octop Memory的agent上说\n跟这个Agent说\n那这个项目暂时先别上PG了\nPG就是一个数据库\n说本地SecureLights已经够用了\n说他下周要去上海出差\n有点焦虑\n那其实这句话包含了很多信息\n首先L0层就是我们刚刚的事实\n就是录音笔\n他会把这句话记下来\n在录音笔之外\n到了我们的候选事实\n那一有日记\n下周去上海出差有点焦虑\n因为这只是一个一时的心情\n它可能在工作中不太会被需要\n那这个项目不用PG\n用CircleLite\n这可能就是一个工具强相关的事实\n那心情就进日记\n事实就进我们的候选卡片\n那就说到了刚刚的五层\n那看看它的自信度和重要性够吗\n有没有可以录音证据\n零零的原始事实证\n到底能不能被指导\n如果被指导\n那我们就要进生成\n就是正式的原子卡片了\n那我们这个原子卡片里\n有没有一个实体\n可以让它归类\n如果有的话\n那就装进这个实体\n没有就重新去生成一个实体\n我再看看\n跟数据库里的事实\n有没有冲突\n可能我们数据库里面\n三个月前有一条事实是\n那我们就要用PG做足库\n然后当我们现在说了一句话\n是别上PG了\n它就检测到有冲突\n那它其实就会触发刚刚我们演示的那个有冲突\n那就等待用\n那就等待用户采纳或者用户拒绝\n这就是我们整体的一个沉淀路线了\n那下面其实讲解就是G的最后一部分\n就是召回\n那召回那又是一个实力演练一个举例\n如果一个用户就是问\n那个项目的当时的数据库是怎么定的来着\n那首先会去查一个缓存\n看这个缓存里有没有相关的关键字\n如果没有\n那就直接去进行一个用BM25\n就是我们的一个召回的一个算法\n然后去搜索\n那有没有相应的原则卡片\n那搜到了\n就是我们刚刚说的\n那Octob这个暂时先不用PG了\n先用本地的Syculate\n它就是搜到之后\n它就可以回答用户的这个问题了\n就是它的一个运行的内在机制的原理是吗\n一步一步是如何运作的\n对的\n其实还有很多细节\n但是我们未来实在不\n在很近的未来\n马上就会把我们的记忆开远\n感兴趣的朋友也可以先关注我们的Octop\n后续我们的Octop Memory\n也会随之在Tencent Cloud下面开远的\n如果说以后再云服务器\n部署了是不是只有国外的服务器\n可以去调用GPT的模型呢\n是的\n调用GPT的模型\n其实是取决于GPT\n它本身可以在哪个地位调用\n那如果在中国\n或者在哪里\n不能访问GPT\n你就是调用不了\n你只能在能调用GPT地域的服务器\n然后去调用到GPT\n对\n问目前Optop采用默认Q-Lite\n而不用PG是出于怎样的考虑呢\n这各位粉丝朋友问得很好\n其实我们现在也支持PG了\n但是默认是Ciclite\n一是可以支持用户一键安装完就可以使用\n默认就是在本地创建一个Ciclite\n这个服务就可以用了\n然后也不是说需要用户去建一个PG配置\n那如果有高端用户\n如果想做分布式\n想用PG\n我们其实也是完全可以支持PG\n对这个能力我们现在已经支持了\n对,那其实今天记忆讲的其实就是这么多了\n那如果大家还有后续问题可以一是在我们的GitHub主页上给我们提问\n二是进入我们的用户群,然后提问\n这个直播的下半场其实要有请我们杨纸给大家做一些实力的介绍\n好的,大家好,我叫杨纸\n那我来和大家分享一下我们的多专家多Agent的病情,如何来重复我们的进行\n我想问问您有没有在比如说CodeBody或者是WorkBody里面使用过多Agent多专家\n想教教我们是不是有经常去使用\n那我先说确实\n比如让WorkBody帮我做某一个PT的时候\n他其实自己先是会调用一下很多Agent去分别做一些小步骤的事情\n最后再汇总\n然后多专家我其实也有体验到\n因为熟悉WorkBody的朋友应该知道可以在一个项目里增加很多专家\n你就可以去调用这些专家的努力\n对那么我们的\n也是具备这么大的能力\n包括像您如果在\nQQ通道里面\n我们可以支持家庭去聊\n包括微信通道\n如果以后开通了\n我们会相信支持\n然后还有一些用户\n还在提问\n有没有agent team的想法\n对我们现在正在调研agent team\n也是在不久之后\n也会推出agent team\n那么我就回到了正题\n我们讲一讲我们的多次能题\n我们的就刚和大家多聊了\n觉得专家其实\n确实用的挺多的\n不管是Ethan Giorg之前\n直播的育儿专家\n包括现在我们大家\n在用workbody\n去做一些竞品类的\n一个调研专家\n那么我们今天就会给大家来实战演练一下\n我想想你你可能是不还是会经常遇见老板会给你\n下发一个很艰巨的任务\n叫你去完成呢\n是的\n对其实像我们同事之间也会有经常像\n包括我们在研究这种比较新的产品也会需要调研很多东西\n对的\n像有一个传统像OpenCloud\n他只支持就是说你在一个亲户里面\n可能只是单个agent在那里给你调研究\n其实它非常慢\n现在我们在ACE\n假如我的一个老板下午要求我\n去调研一下想必大家都在喝茶饮\n比如说洗茶耐血\n比如说帮忙茶几\n老板会比较关心里面的产品\n竞品如何调研价格产品营销\n往往你期间的OpenCloud可能是单A进程\n它的调研会非常慢\n那么我们的Octop显然是领先于它的\n我们的很多进程可以帮助大家很快的调研跟它报告\n我现在给大家展示一下\n比如说老板要求我完成这个\n传统的做法就是三个牌子\n挨一个的时候整理一个晚上\n然后每个A进程之间还不太交互的通\n我们在我们的Octop里面\n首先我们有非常多的类似的一个专家\n也有一些专家市场\n我们是对接的Token Hub的专家市场\n有电商的金融的内容的\n如果大家有喜欢的\n就从这点击一下\n来从市场创建\n这就可以创建我们的网闻小说创作家\n那这个配置专家的过程还是很方便的\n对对对的\n如果大家默认\n为了防止大家经常从专家市场下比较慢\n所以我们还有类似专家\n业的专家下载后会类似到这里面\n比如说我之前装了竞品分析专家\n那我们今天就用剂米分加来实战演练一下\n那么就讲解题\n我看有粉丝朋友问Octop记忆模块代码是独立解藕的\n还是与其他意见组件存在编译期以外\n是完全独立解藕的\n刚刚其实这个记忆模块也可以跟\n现在是支持跟Otom Cloud 跟Hermas都一起用\n我们后续会推出完整的教程\n对\n那我们去玩一个很好玩的一个东西\n英宁 你吃豆河佬吗\n我吃\n那那个像佼佼们到底豆河佬喜欢吃甜的\n还是喜欢吃咸的\n或者是川芸人喜欢吃辣的\n我肯定是坚定的吃咸的\n豆腐脑的这一派\n我肯定占咸\n大家有吃甜的吗\n大家豆腐脑有吃甜的吗\n我其实是吃甜的\n不好意思\n我们三个人吃三种口味\n我们三个人刚好吃三种口味\n对\n那我们来让我们的美食专家来评判一下\n我们这有一个营养规划专家\n豆腐脑也是要有营养的\n我们来问问他\n是的\n我们现在是在等\n竞品分析专家在给我们做调研\n在等待他做调研的过程中\n我们来做一个多agent的博弈\n这样子的一个演示\n给大家更加实战地去看一下\nOxop他的多agent之间\n如何去思考\n如何去博弈\n那么我们也是以这个豆腐脑为例\n我们来看一下这个agent\n如何做裁决\n已经结束了\n我们可以看到\n刚才他其实是调用了三个工具的\n确实是分发了给不同的agent\n然后下发了他的任务\n你是一个辣打的专家\n或者你穿越人\n好 完整交换就来了\n第一轮呢\n我们的甜党先说了\n就是甜味\n像英宁肯定是非常喜欢吃甜的\n它可能存在比较幸福的记忆\n我就比较清楚\n咸党可能说的是没有咸味\n像一个焦焦比较喜欢吃咸的\n比较沉稳的\n像我当然就喜欢吃辣\n小川水人必须吃火锅都必须吃辣\n他们就开始第二轮的相互攻击了\n那么甜党就开始调侃了一个咸党\n说它单调\n辣的确实伤胃味\n现在是比较优雅的\n攻势还比较强硬\n那么咸党又直接了一个甜党的比较幼稚\n它有一个非常频繁的一个金句\n就叫做辣味上头舌头直接化工\n这和做机会有小区别\n说明参与人其实不太想救美食的\n这种口感可能还是比较喜欢辣味\n就盖过了全味\n辣就开始反进来嘲讽我们的田党说\n田党农院活化在童话世界\n因为田田的甜妹\n田党农院是配角\n也是比较精彩的一个博弈\n我们看主义镜党的台办\n他可能读取了我的记忆\n他觉得可能是辣的显身\n首先是辣味他可能带来了记忆点\n甜和咸都太日常了\n但是说句公道话\n我觉得其实豆腐老师甜的也挺好吃的\n包括吃咸的\n开始端水\n那我们Octop那是没有杨之会端水是吧\n他还真的评出辣当品生\n我看专幕也说了\n要吃就要吃两碗\n要先吃甜的再吃咸的\n说明我们的用户\n不一定非得吃某一个口味的\n其实我们也可以再看一下我们这个博弈的过程\n杨之也可以帮我们再讲解\n那这个过程其实我们是主动调用了几个agent\n是如何进行博弈\n哪一个agent来进行裁决的呢\n那在这里我们有一个主Agent\n因为子Agent和主Agent\n大概有这么一个概念\n子Agent它是一个现存的概念\n它用完之后它就消失了\n它会和其他的Agent去对话\n所以它必须要把他收到的任务的答案\n交还给主Agent\n所以到这我们是一个主从事的结构\n所以必须要让主Agent\n首先它是要定制赛事并且派单\n三个党会有一个逆论\n每个党觉得甜的好吃\n咸的好吃还是辣的好吃\n通过主意境的去传递三方的论断了\n又开始Round the 2了\n三党又不相对\n最后综合全场出裁写处\n然后就在车上在这里\n他们分别完成后互相看不见\n在后面的户对环节开始通过主要进展\n传递给大家每个党派的一个反驳的意见\n最后主要进行裁判\n该觉得哪个比较好\n那这里是不是其实平时我们在做调研任务\n或者我们比如有个家长想帮小朋友\n看看怎么去收集一些作文素材\n是不是其实也可以\n是给我们Octop分发一个任务\n让一个子agent去收集关于历史的素材\n另一个子agent去收集关于感动故事\n另一个子agent去收集关局名言名言\n是不是也是一样的道理\n我觉得这个场景非常好\n因为像我们可能观看的观众里面\n有一些家长朋友们也比较关心这个问题\n那么我要来回答一下大家的这个问题\n像比如说在TOP里面\n比如说我们的有很多的子agent\n在我们的有一些学术的子agent\n比如像英琳刚刚说的\n我们有地理专家\n父母觉得如果地理孩子定性的不好\n那么可以叫他做一份地理的PDF报告\n交付款给答应出来给我们的一个小朋友\n就跟他们去阅读\n我们等于TOP之前是非常支持的\n包括我看我们刚刚的调研报告也是很顺利的出来了\n你看包括我们在这里是很交付了一个PDF文件\nMD文件到时候可以转化为PDF\n像用户朋友们就可以在这里去下载到本地之后就可以使用\n我相信家长朋友们可能还是比较喜欢给孩子分发中研\n也应该比较喜欢这个功能\n那话不多说了\n我们就看看这个调研报告它竟然都做出来了\n那我们先看报告之前\n其实我想问那杨泽你最喜欢的奶茶是什么牌子\n我其实比较喜欢爆炎茶几\n那焦焦\n我其实想喜欢喜茶多一点\n好吧那没有人是点门\n我就是一点点大头\n虽然一点点不在这\n一点点很老\n但我就是坚定的点门人\n好那我们继续看这个新品牌茶饮三巨头的调研报告吧\n然后我放大一下\n供大家可以很好的查看\n好应该是大概调研报告\n因为我们这有一些折地功能\n大家如果想这样看就非常方便\n也可以这样看\n也支持斜着看\n我们都非常支持的\n比如说像现在右半边\n右半边看了\n或者是下面看\n我们都非常支持\n那么显然就为了放中间\n让大家看得比较清楚\n这是不是就是三折叠\n怎么这么多有边\n对的对的\n放大一点\n让大家都比较都很好的看清楚\n像我们的一个G2报告\n已经茶饮你的老板给你派火了\n你就很快的出来\n首先它生成了行业的总染\n比如说茶饮现在可能进入一个\n纯粮博弈\n可能现在进入比较激烈了\n那它也调研了\n像密血冰城\n它也不止调研这三个\n像密血冰城比较便宜的\n也有人喜欢的\n薄牙绝权\n帮忙查记忆的一个产品\n如果稍微贵点的\n可能大家可以去喝喜茶和赖雪\n但是对我来说\n可能帮忙查记忆到价格适中的\n包括它也非常\n你可以看到Octob\n它是比较了三个的一个创立时间\n包括它一个高端定位\n喜茶的是高端定位\n赖雪的茶号称星巴克\n我想问一下杨直\n我们的Octob在搜索到\n这些信息的时候\n是它主动去有搜索到\n准确的一些信息源吗\n就这些最新的数据\n当然的\n那Octop它的整个呢\n它是抓取的是我们最新的一个数据\n如果这个数据没有了\n它会去查另外的也很多的一个数据\n包括一些非常非常实时的一些网站\n都可以很好的查询到\n那评论区的大家可以放心\n我们Octop做出来的调研分析呢\n数据是绝对准确的\n大家可以放心使用\n对包括我们Octop\n其实也有一个自建的搜索引擎\n所以大家可能在用\nOpenCloud和Hermes的时候\n其实有偶尔感受到\n如果不自己去配那种付费搜索引擎\n或者配那种专门的search key\n它的搜索功能或许有些许缺陷\n但是我们Octop其实内置了一个专业的搜索引擎\n所以大家可以放心用我们Octop做调研\n还有我想给大家说的\n可能有些用户没有拒绝的\nAI只能把你生成\n你不能改\n我和Top现在我们是可以直接在里面修改\n他给你说了交付的是管理层\n你显然老板不希望看到这个\n因为你不能呼噜\n然后你可以把它删掉\n然后保存下来\n你就可以把这个发给你老板\n也是为了我们也很多\n提供了像类似于\nWorkerBody的一个能力了\n然后我们以为来\n还会逐步的去完善优化\n这个编辑能力还挺好用的\n这样的话\n就可以实时的和AI进行交互和修改\n是的\n那我们要不继续给大家展示一下\n我们Octob做出来的调研报告\n剩下还包含哪一些部分\n刚刚我们有看到\n它其实有很全面的这个行业总览\n以及三巨头的核心的对比维度\n我们可以\n你老板如果没有关心\n还有价格一些策略深度对比\n包括我们的一个产品矩正\n像喜茶它主打的可能是一个水果茶\n水果茶比较好喝\n我上班学的茶可能就是一个\n现烤烘焙的一个鲜果茶\n纯茶\n像花王茶间可能就是一个鲜奶茶的\n因为完全挺好喝的\n看来Octop真的调研的很全面\n还有营销策略的深度对比\n对甚至杨植宁给他的prompt\n比较直接紧的去做\n因为我们为什么要这么做\n一方面是加快我们的数\n另外一方面如果调研喜茶的时候\n像英年\n如果我们还去调研一下耐学的查\n说实话它的回复质量可能是比较低的\n所以说我们为什么要引入多一个来\n更好地形成一个调研报纳\n所以分别一个agent调研写查\n一个agent调研报纳查机\n还有一个agent在调研\n耐学的最后再医\n对你把整个的一个调研追过来\nagent做完调研之后是由主agent来做\n最后的一个整合和报告的撰写吗\n对的交交问的很对\n我们简单回复一下\n我们现在应该来说要支持有两种概念\n一种是我们的贼警的\n它是一个如果是变成朋友们比较熟悉\n它是一个现成的概念\n它用了一次之后就会消失\n所以它一定要成为主意警的它的一个答案\n未来朋友们比较放心的我们是回复答案能不能长久保存\n它有一个思路我们未来会推出agent的team\n又和我们的每个专家我们的Octop\n像刚刚也有些影视专家等等那些专家\n它里面的一个东西都会存在里面\n所以那个是一个进程的概念\n未来大家可以多多关注我们的Octop\n我们未来会及时的推出agent的team\n帮助大家更好的\n适应这种\n不论是那种工作\n还是我们刚刚一年说的\n这种宝爸宝妈们\n要给孩子做作业\n当然我们的agent team\n都会保存一些记忆\n欢迎大家继续关注\n那我们这个\n让他做竞品调研\n我们就只需要\n给他布置一个复杂的任务\n他自己就会去衡量和思考\n应该把什么任务分配给谁\n需要去有多少个agent\n支持这个任务吗\n好 我们可以简单\n回顾一下我们的用户\n是不是有个竞品调研专家他是有这些能力的\n对的我们是有一个竞品调研专家\n像我们的专家里面他都会有这个能力\n像我们的有很多专家是像我们的Z-Gent里面\n因为我们的我们的决策也是说了\n我们未来是可以不需要用户在这里面去安装\n也许他可以自动路由到一个你所需要的A-Gent\n因为我们也和那些客户在哪\n可能用的时候就说你只需要需要\n他自动可以帮你创造的未来\n我们就会不仅你是从这去下载\n还是你在用户窗口就可以直接和他对话\n未来都会支持这种能力\n我们目前已经内置了\n精品分析的这个专家\n因此我们用户只需要调用这个专家\n然后去给他输入非常简单的\n调研的指令\n然后他就会自动去帮我们\n去分配贼agent\n还有怎么分配任务\n就会自动帮我们一键输出报告了\n是的\n并且未来还就算不让大家去安装\n因为大家还要找\n让我们未来我们的\n只要是一个agent\n他自己可以去激活了一些贼agent的\n也可以激活了一些专家\n我看到我们粉丝朋友\n如果生成结构化文档\n前一张的输出是后一张的输入适合多Agent吗\n那其实这里有非常多一种情况\n其实是如果端木你是想\n比如你想生成一篇文档\n那比如先生成了第一段\n再生成了第二段\n第一段是第二段的输入\n那其实第二段的生成必须要第一段已经生成了\n其实多agent是适合这种并行的任务的\n那个像我们的多agent\n它现在的一个agent的一个输入大概是一个文本\n但是它可以生成像一个pdf文件\n或者像端末说的一个结构化的文档\n那么它端末的问题应该是在生成这个节目化文档之后\n这一个输入是否可以被后一个比如说agent然后给接收\n那么我们现在的回复就是\n如果是紫agent之间它是一个现成的关系\n它是不能够吸收这种结构化文本\n它只能接受文本的一个输入\n但是我们的主A进程\n可以把它的一个子A进程\n做出来的PDF\nMarkdown文件要保存下来\n让主A进程读后交给子A进程\n这是我们的Octop的一个特色了\n我们也是支持这种\n多结构和文本\n从一个输入后\n下一个输出也肯定是支持的\n还有一位粉丝朋友问\n第一老用户\n迁移到Octop后\n原有记忆是否需要重新做GIMA转换\n是这样的\n在原有来靠ACE的记忆\n其实大家知道\n就是只有memory文件夹下的所有md文档\n以及memory.md是记忆的所有真相员\n你做迁移可以一起迁移过来\n我们现在记忆一遍\n那memory.md是可以全量读得到的\n那关于其他的一些结构化文档\n我们也会推出一个支持的记忆格式转换\n我看粉丝朋友问\n好像不能多用户多智能力\n以共同协作\n对的\n因为我们现在的一个思路是\n每个用户和每个用户之间是隔离的\n所以用户和用户之间是不能够进行一个协作的\n但是如果你有需求\n我觉得是不是未来一向英雄我们是不是可以\n对看这位粉丝朋友的具体需求\n我理解单用户你的多智能体是可以共同协作的\n我们继续讲解\n看大家对刚刚的竞品分析的演示有没有什么问题\n我刚刚看到我们的October也是用一条简单的指令\n立刻产出了一份比较完善角度\n也比较齐全的竞品分析调研报告了\n对\n是的\n看一下大家有什么问题没有\n大家提问\n那大家有没有什么想了解的场景\n也可以现在在评论区打出来\n或者是加入用户群里和我们一起探讨一下\n收费不以后\n我看有用户提问了\n我们不收费\n我们代码现在都开源的\n我们未来也会在轻量云服务器的控制台上上镜像\n对我们没有收费\n对买一台服务器\n包括你现在自己也可以去安装\n安装方式可以去GitHub\n看我们的ReadMe\n未来我们也会在\n腾讯社区里\n推出更方便的\n安装方式教学\n对\n好像我们的Optop了吗\n还算不算便宜的\n我们会想欢迎大家\n来我们的Lighthouse里面来买\n因为你买了一个后\n那你可以是全家\n全家都用\n是的\n有一个问题\n假如说未来我们在\n服务器上上了镜像之后\n我们的多用户功能\n也就是相当于\n只要管理员\n买了一台服务器\n有一台Optop之后\n我所设置的多用户\n他们就不用再买了对吗\n对的\n一台服气的Octob\n就能够多用户使用\n我看到粉丝朋友问\n上了镜像\n到时候可以把Hermes镜像\n换成Octob吗\n可以\n其实换镜像\n就是一个实力重装\n是关于服气的操作\n其实都可以随时做的\n我看还有黄医生问\nACE转移\n包括记忆聊天记录\nSkill这些无损切换到Octob\nE和Skill\n包括你通道配置\n那些配置现在都是无损切换\n但是聊天介络\n现在的迁移工具还不支持\n对如果有强烈需求的话\n可以在用户群里讨论\n未来可能看看升级迁移工具\n或以其他方式支持\n什么时候上了清亮云\n很快了\n我们进上工作还差最后的适配\n最迟其实近两周就能上\n对欢迎到周公开\n是的\n那我们两位研发工程师\n关于October未来的一个产品规划\n以及一些会上的功能能力\n也可以简单的给大家剧透一下\n大家可以期待一下\n同时大家如果有什么想要上的功能\n或者说上线的功能\n也可以在评论区里面交流一下\n那么也有请两位简单介绍一下\n那由我先来简单的说说我们的一个初步打算\n我们下一段的目标主要是\n正在服务于大家的一个\n从我们ACE前一到我们的TOP里面\n我们在支持这种工序的升级\n这之外我们还在积极地调远Agent Team的一个使用方式\n以及未来的Octobre在我们的一个QQ群鸟里面\n它怎么样服务好我们的整个一个家庭用户场景\n怎么去把一个Agent服务多个用户的这种能力给发挥出来\n包括我们也来积极地探索\n像使用这种杀香的机制\n像每位用户也可以一个家庭有一个Agent\n像我确实也听到过像用户提问\n比如说他希望他看到的东西\n他的孩子和他的老婆都能够使用\n包括特别是在QQ里面\n未来我们的也会支持\n像我们的群鸟\nAgent的切能\n我们会做一个类似于杀箱的机制\n来支持这种东西\n因为据我所知\n现在还是没有一个Agent能够做的很好\n包括Hammus也好\n跟Clau也好\n未来的Octobre\n会把这个作为一个\n我们的相对的一个竞争优势去完善长\n是的 期待\n希望能够加上类似于\nOakBody项目的模式\n应酶\n我觉得其实我们也可以尝试\n去往这方面去做一做\n可以回去探讨一下\n对 也欢迎黄众\n现在就在我们的GitHub里面\n机器给我们提issue\n我们看到你的issue\n也会把它作为一个\n我们可以未来的发展方向\n也欢迎您来给我们做做共同\n做pr\n因为我们这是开云的\n也可以服务一下您的一个用户场景\n单个用户的记忆数据\n达到百万级\nOctop怎么保证解锁能力\n对这个我可以回答一下\n刚刚其实讲到了\nOctop现在的记忆层级\n那其实首先我们会去\n检索所谓的原子卡片\n那其实如果对话数量达到百万级\n我们理解\n其实近身的原子卡片数量\n并没有这么多\n对那一我们是先召回原子卡片\n然后分层检索\n我理解其实我们就是先召回原子卡片\n然后再从候选者最后再召回到原始事件\n其实这是一个分层的检索forback\n后续我们也其实会推出记忆接上向量的模式\n如果是ACE老用户的话\n可以知道现在ACE其实默认有一个向量模型机制\n但是在Octop因为我们要做组件拆分\n我们其实默认是FTS加BM25\n但后续如果有更重的记忆需求\n我们其实也在计划推出Octop Memory\n配置项料模型\n以及自己的项料数据库\n可以欢迎后续期待一下\n微信渠道可以多往上下\n尽量做到QQ渠道的程度\n关于这个问题我来回复一下\n因为是我在GDF的\n像微信渠道我们在积极的和微信里面\n进行一个沟通\n因为目前是它里面包括一些多艺景特能\n包括它一些主动推送的一些限度\n导致它没有办法像QQ通道做的这么全\n那么等待微信通道里边\n我相信他们也会很快更新\n然后我们也会适时的去更新连带我们的微信通道\n以及帮靠达更好的支持活动\n对\n我看那种说希望能提供SSO集成方案\n支持企业部署成内部知识记忆中枢\n好的\n下来我们去探讨一下争取\n不管是参观我们代码也好\n还是给我们STAR或者提提提提提提提提\n也欢迎加入我们的用户群\n跟我们的研发和产品同学\n做积极的交流\n有意见或者有建议\n都可以在里面跟我们提出来\n是的那么本场之外\n其实我们围绕Octop的技艺机制\n以及竞品分析这个专家的能力\n如何帮助我们去做日常调研\n分析的工作\n帮助我们提校\n都进行了一个详细的讲\n如果说云服务器一键\n不需要建议多大的配置\n这个因为我们现在\nOctop支持多用户\n其实多大配置取决于\n这个用户箱就是这个机器或者Octop\n支持多少个用户\n我们后续也会出一个专门的配置推荐\n来帮助大家选购服务器\n全全老师这边说是100个员工左右的规模\n好的\n那我们推荐我们另外一款产品\nClub Pro的\n全全老师不知道有没有关注过Club Pro\n可以去关注一下\n当然如果非常想用我们Octop\n我们后续也会给一个推荐\nEmma问可以部署到本地吗\n可以的可以的\nEmma可以直接访问我们的DHub仓库\nVidmin有完整的部署的一个介绍\n我们今天的直播就到这里结束了\n好的\n拜拜",
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      "text": "其实用哪个agent用的比较多",
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      "text": "那其实我们会有个记忆数",
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      "text": "或者你不想让它参与以后的记忆交回",
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      "text": "我们先给大家回答一下",
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    {
      "start": 591.388,
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      "text": "几个高频的问题",
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      "text": "我们Oktop肯定是多用户的",
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      "text": "Anthel",
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      "text": "对这个场景也同时迁移到了我们的Octop上",
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      "text": "对包括我自己啊",
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      "text": "可以直接作为记忆题给Workbody",
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      "text": "也就是我们的Hanath Memory",
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      "text": "也就是我们的Octop Memory",
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      "text": "怎么合作对接一下",
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      "text": "我问了一个非常经典的",
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      "text": "为啥叫Octop",
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      "text": "其实上一期直播",
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      "text": "也有朋友问",
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      "text": "那给我们取这个名字",
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      "text": "其实是我们的一名主播",
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      "text": "叫Octopus",
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      "text": "就是章鱼",
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      "text": "多专家",
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      "language_run": 0
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      "text": "还有多智能体非常多",
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      "text": "就像章鱼非常多的触手一样",
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    {
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      "text": "但是为了一是好发音",
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    {
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      "text": "二是我们比较想要Top这个后缀",
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      "text": "那我看我们也是列举了",
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      "text": "不同的形态的Agent的区别",
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      "text": "您这一块可以给我们详细的介绍一下吗",
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      "text": "直播间的粉丝朋友们可以截图保存",
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      "text": "大家如果对这一块",
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    {
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      "text": "不仔细的可以截图保存一下",
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      "text": "可以的",
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      "text": "请关注我们的Octop GitHub仓库",
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      "text": "有详细的字部署教程",
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      "text": "可以在腾讯控制台直接购买",
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      "text": "很快",
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      "text": "可以打包一个备份",
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      "text": "然后再打开我们的Octop",
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      "text": "密码就是之前在litecloud设置的那个密码",
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      "text": "在产品上和记忆上有什么不同",
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      "text": "那octop memory到底是怎么样的呢",
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      "text": "那就给大家其实我在PT里给大家做个比喻",
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      "text": "在Octop里其实就是靠着我们这个日记层",
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      "text": "最后是神器流水",
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      "text": "那所有记忆的生成都靠大模型",
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      "text": "从哪一条事实中",
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      "text": "那个对话中提取到了",
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    {
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      "end": 1290.368,
      "text": "哪些候选",
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      "text": "都会在我们的面板中一一显示",
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      "text": "包括删除包括冲突",
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      "text": "那其实我有一个小白的问题",
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      "text": "关于我们记忆",
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      "text": "记忆的沉淀",
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      "text": "像焦焦其实有在",
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      "text": "OpenCloud和Hermes",
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      "text": "那你最近一个问你的",
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      "text": "你在什么一个场景下用了它",
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      "text": "就比如说最近一次让他帮我撰写一下",
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      "text": "我们这个直播的整个的策划",
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      "text": "我最近有点上火",
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      "text": "OK我要去吃炸鸡",
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      "text": "那杨子就会想起",
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      "text": "那其实agent也会这样",
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      "text": "然后来帮助你更好的去优化你的工作",
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      "text": "工作这就是记忆的召回",
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      "text": "了解了",
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      "text": "好的学到了",
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      "text": "那其实刚刚讲那么多",
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      "text": "那假如这个用户",
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      "text": "在一台安装了Octop Memory的agent上说",
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      "text": "跟这个Agent说",
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      "text": "那这个项目暂时先别上PG了",
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      "text": "PG就是一个数据库",
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      "text": "说本地SecureLights已经够用了",
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      "text": "说他下周要去上海出差",
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      "text": "有点焦虑",
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      "text": "那其实这句话包含了很多信息",
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      "text": "首先L0层就是我们刚刚的事实",
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      "text": "就是录音笔",
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      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1424.508,
      "end": 1425.708,
      "text": "在录音笔之外",
      "language": "zh",
      "chunk": 2,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1425.708,
      "end": 1427.288,
      "text": "到了我们的候选事实",
      "language": "zh",
      "chunk": 2,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1427.288,
      "end": 1429.348,
      "text": "那一有日记",
      "language": "zh",
      "chunk": 2,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1429.348,
      "end": 1431.248,
      "text": "下周去上海出差有点焦虑",
      "language": "zh",
      "chunk": 2,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1431.248,
      "end": 1434.528,
      "text": "因为这只是一个一时的心情",
      "language": "zh",
      "chunk": 2,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1434.528,
      "end": 1437.668,
      "text": "它可能在工作中不太会被需要",
      "language": "zh",
      "chunk": 2,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1437.668,
      "end": 1440.488,
      "text": "那这个项目不用PG",
      "language": "zh",
      "chunk": 2,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1440.488,
      "end": 1441.308,
      "text": "用CircleLite",
      "language": "zh",
      "chunk": 2,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1441.308,
      "end": 1443.548,
      "text": "这可能就是一个工具强相关的事实",
      "language": "zh",
      "chunk": 2,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1443.548,
      "end": 1445.368,
      "text": "那心情就进日记",
      "language": "zh",
      "chunk": 2,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1445.368,
      "end": 1447.308,
      "text": "事实就进我们的候选卡片",
      "language": "zh",
      "chunk": 2,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1447.308,
      "end": 1450.008,
      "text": "那就说到了刚刚的五层",
      "language": "zh",
      "chunk": 2,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1450.008,
      "end": 1453.608,
      "text": "那看看它的自信度和重要性够吗",
      "language": "zh",
      "chunk": 2,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1453.608,
      "end": 1455.768,
      "text": "有没有可以录音证据",
      "language": "zh",
      "chunk": 2,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1455.768,
      "end": 1457.388,
      "text": "零零的原始事实证",
      "language": "zh",
      "chunk": 2,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1457.388,
      "end": 1459.388,
      "text": "到底能不能被指导",
      "language": "zh",
      "chunk": 2,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1459.388,
      "end": 1460.628,
      "text": "如果被指导",
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      "chunk": 2,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1460.628,
      "end": 1462.388,
      "text": "那我们就要进生成",
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      "chunk": 2,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1462.388,
      "end": 1464.188,
      "text": "就是正式的原子卡片了",
      "language": "zh",
      "chunk": 2,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1464.188,
      "end": 1466.408,
      "text": "那我们这个原子卡片里",
      "language": "zh",
      "chunk": 2,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1466.408,
      "end": 1467.588,
      "text": "有没有一个实体",
      "language": "zh",
      "chunk": 2,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1467.588,
      "end": 1469.028,
      "text": "可以让它归类",
      "language": "zh",
      "chunk": 2,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1469.028,
      "end": 1469.728,
      "text": "如果有的话",
      "language": "zh",
      "chunk": 2,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1469.728,
      "end": 1470.988,
      "text": "那就装进这个实体",
      "language": "zh",
      "chunk": 2,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1470.988,
      "end": 1473.808,
      "text": "没有就重新去生成一个实体",
      "language": "zh",
      "chunk": 2,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1473.808,
      "end": 1474.988,
      "text": "我再看看",
      "language": "zh",
      "chunk": 2,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1474.988,
      "end": 1477.228,
      "text": "跟数据库里的事实",
      "language": "zh",
      "chunk": 2,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1477.228,
      "end": 1477.908,
      "text": "有没有冲突",
      "language": "zh",
      "chunk": 2,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1477.908,
      "end": 1479.748,
      "text": "可能我们数据库里面",
      "language": "zh",
      "chunk": 2,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1479.748,
      "end": 1481.308,
      "text": "三个月前有一条事实是",
      "language": "zh",
      "chunk": 2,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1481.308,
      "end": 1484.488,
      "text": "那我们就要用PG做足库",
      "language": "zh",
      "chunk": 2,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1484.488,
      "end": 1486.588,
      "text": "然后当我们现在说了一句话",
      "language": "zh",
      "chunk": 2,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1486.588,
      "end": 1488.068,
      "text": "是别上PG了",
      "language": "zh",
      "chunk": 2,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1488.068,
      "end": 1489.748,
      "text": "它就检测到有冲突",
      "language": "zh",
      "chunk": 2,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1489.748,
      "end": 1494.048,
      "text": "那它其实就会触发刚刚我们演示的那个有冲突",
      "language": "zh",
      "chunk": 2,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1494.048,
      "end": 1494.848,
      "text": "那就等待用",
      "language": "zh",
      "chunk": 2,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1494.868,
      "end": 1497.068,
      "text": "那就等待用户采纳或者用户拒绝",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1497.068,
      "end": 1500.228,
      "text": "这就是我们整体的一个沉淀路线了",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1500.228,
      "end": 1502.788,
      "text": "那下面其实讲解就是G的最后一部分",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1502.788,
      "end": 1504.068,
      "text": "就是召回",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1504.068,
      "end": 1508.508,
      "text": "那召回那又是一个实力演练一个举例",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1508.508,
      "end": 1510.548,
      "text": "如果一个用户就是问",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1510.548,
      "end": 1513.948,
      "text": "那个项目的当时的数据库是怎么定的来着",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1513.948,
      "end": 1516.708,
      "text": "那首先会去查一个缓存",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1516.708,
      "end": 1520.108,
      "text": "看这个缓存里有没有相关的关键字",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1520.108,
      "end": 1520.668,
      "text": "如果没有",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1520.668,
      "end": 1524.508,
      "text": "那就直接去进行一个用BM25",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1524.508,
      "end": 1527.548,
      "text": "就是我们的一个召回的一个算法",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1527.548,
      "end": 1528.828,
      "text": "然后去搜索",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1528.828,
      "end": 1531.628,
      "text": "那有没有相应的原则卡片",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1531.628,
      "end": 1532.628,
      "text": "那搜到了",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1532.628,
      "end": 1534.788,
      "text": "就是我们刚刚说的",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1534.788,
      "end": 1538.268,
      "text": "那Octob这个暂时先不用PG了",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1538.268,
      "end": 1539.928,
      "text": "先用本地的Syculate",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1539.928,
      "end": 1541.828,
      "text": "它就是搜到之后",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1541.828,
      "end": 1544.308,
      "text": "它就可以回答用户的这个问题了",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1544.308,
      "end": 1548.928,
      "text": "就是它的一个运行的内在机制的原理是吗",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1548.928,
      "end": 1550.908,
      "text": "一步一步是如何运作的",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1550.908,
      "end": 1551.628,
      "text": "对的",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1551.628,
      "end": 1554.028,
      "text": "其实还有很多细节",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1554.028,
      "end": 1555.488,
      "text": "但是我们未来实在不",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1555.488,
      "end": 1556.688,
      "text": "在很近的未来",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1556.688,
      "end": 1558.228,
      "text": "马上就会把我们的记忆开远",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1558.228,
      "end": 1561.848,
      "text": "感兴趣的朋友也可以先关注我们的Octop",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1561.848,
      "end": 1564.308,
      "text": "后续我们的Octop Memory",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1564.308,
      "end": 1567.208,
      "text": "也会随之在Tencent Cloud下面开远的",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1567.208,
      "end": 1569.528,
      "text": "如果说以后再云服务器",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1569.528,
      "end": 1571.228,
      "text": "部署了是不是只有国外的服务器",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1571.228,
      "end": 1573.408,
      "text": "可以去调用GPT的模型呢",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1573.408,
      "end": 1574.588,
      "text": "是的",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
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      "end": 1577.008,
      "text": "调用GPT的模型",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1577.008,
      "end": 1578.528,
      "text": "其实是取决于GPT",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1578.528,
      "end": 1580.828,
      "text": "它本身可以在哪个地位调用",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1580.828,
      "end": 1583.008,
      "text": "那如果在中国",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1583.008,
      "end": 1585.468,
      "text": "或者在哪里",
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      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1585.468,
      "end": 1586.608,
      "text": "不能访问GPT",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1586.608,
      "end": 1587.768,
      "text": "你就是调用不了",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1587.768,
      "end": 1590.548,
      "text": "你只能在能调用GPT地域的服务器",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1590.548,
      "end": 1592.568,
      "text": "然后去调用到GPT",
      "language": "zh",
      "chunk": 3,
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    },
    {
      "start": 1592.568,
      "end": 1592.888,
      "text": "对",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1592.888,
      "end": 1596.428,
      "text": "问目前Optop采用默认Q-Lite",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1596.428,
      "end": 1601.168,
      "text": "而不用PG是出于怎样的考虑呢",
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      "chunk": 3,
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      "language_run": 0
    },
    {
      "start": 1601.168,
      "end": 1603.188,
      "text": "这各位粉丝朋友问得很好",
      "language": "zh",
      "chunk": 3,
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      "language_run": 0
    },
    {
      "start": 1603.188,
      "end": 1605.068,
      "text": "其实我们现在也支持PG了",
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      "chunk": 3,
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      "language_run": 0
    },
    {
      "start": 1605.068,
      "end": 1606.908,
      "text": "但是默认是Ciclite",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1606.908,
      "end": 1610.728,
      "text": "一是可以支持用户一键安装完就可以使用",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1610.728,
      "end": 1613.108,
      "text": "默认就是在本地创建一个Ciclite",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1613.108,
      "end": 1614.328,
      "text": "这个服务就可以用了",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1614.328,
      "end": 1618.288,
      "text": "然后也不是说需要用户去建一个PG配置",
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      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1618.288,
      "end": 1619.768,
      "text": "那如果有高端用户",
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      "local_language_run": 0,
      "language_run": 0
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    {
      "start": 1619.768,
      "end": 1621.108,
      "text": "如果想做分布式",
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      "local_language_run": 0,
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    {
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      "end": 1621.708,
      "text": "想用PG",
      "language": "zh",
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      "language_run": 0
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    {
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      "end": 1623.988,
      "text": "我们其实也是完全可以支持PG",
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      "chunk": 3,
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      "text": "对这个能力我们现在已经支持了",
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      "text": "对,那其实今天记忆讲的其实就是这么多了",
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      "text": "好的,大家好,我叫杨纸",
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      "text": "那么我就回到了正题",
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      "text": "刚刚其实这个记忆模块也可以跟",
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      "chunk": 3,
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      "language_run": 0
    },
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      "start": 1804.728,
      "end": 1807.328,
      "text": "现在是支持跟Otom Cloud 跟Hermas都一起用",
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      "chunk": 3,
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      "language_run": 0
    },
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      "start": 1807.328,
      "end": 1809.928,
      "text": "我们后续会推出完整的教程",
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      "end": 1810.328,
      "text": "对",
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      "language_run": 0
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      "start": 1810.328,
      "end": 1812.728,
      "text": "那我们去玩一个很好玩的一个东西",
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      "chunk": 3,
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    },
    {
      "start": 1812.728,
      "end": 1813.928,
      "text": "英宁 你吃豆河佬吗",
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      "chunk": 3,
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      "start": 1813.928,
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      "text": "我吃",
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      "text": "那那个像佼佼们到底豆河佬喜欢吃甜的",
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      "start": 1818.928,
      "end": 1819.728,
      "text": "还是喜欢吃咸的",
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      "start": 1819.728,
      "end": 1821.128,
      "text": "或者是川芸人喜欢吃辣的",
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      "start": 1821.128,
      "end": 1823.988,
      "text": "我肯定是坚定的吃咸的",
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    },
    {
      "start": 1823.988,
      "end": 1825.088,
      "text": "豆腐脑的这一派",
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    },
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      "start": 1825.088,
      "end": 1826.008,
      "text": "我肯定占咸",
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      "start": 1826.008,
      "end": 1827.188,
      "text": "大家有吃甜的吗",
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      "start": 1827.188,
      "end": 1828.708,
      "text": "大家豆腐脑有吃甜的吗",
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      "start": 1828.708,
      "end": 1831.008,
      "text": "我其实是吃甜的",
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      "start": 1831.008,
      "end": 1831.588,
      "text": "不好意思",
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      "language_run": 0
    },
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      "start": 1831.588,
      "end": 1833.408,
      "text": "我们三个人吃三种口味",
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      "start": 1833.408,
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      "text": "我们三个人刚好吃三种口味",
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      "start": 1835.348,
      "end": 1836.188,
      "text": "对",
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      "text": "那我们来让我们的美食专家来评判一下",
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      "start": 1839.048,
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      "text": "我们这有一个营养规划专家",
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    {
      "start": 1841.028,
      "end": 1842.328,
      "text": "豆腐脑也是要有营养的",
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      "chunk": 3,
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      "text": "是的",
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      "text": "我们现在是在等",
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    },
    {
      "start": 1845.788,
      "end": 1848.188,
      "text": "竞品分析专家在给我们做调研",
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      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1848.188,
      "end": 1850.268,
      "text": "在等待他做调研的过程中",
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    },
    {
      "start": 1850.268,
      "end": 1852.568,
      "text": "我们来做一个多agent的博弈",
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      "chunk": 3,
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      "language_run": 0
    },
    {
      "start": 1852.568,
      "end": 1853.728,
      "text": "这样子的一个演示",
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      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1853.728,
      "end": 1856.228,
      "text": "给大家更加实战地去看一下",
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      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1856.228,
      "end": 1857.748,
      "text": "Oxop他的多agent之间",
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      "local_language_run": 0,
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    },
    {
      "start": 1857.748,
      "end": 1858.748,
      "text": "如何去思考",
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      "start": 1858.748,
      "end": 1859.508,
      "text": "如何去博弈",
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      "start": 1859.508,
      "end": 1862.088,
      "text": "那么我们也是以这个豆腐脑为例",
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    {
      "start": 1862.088,
      "end": 1863.448,
      "text": "我们来看一下这个agent",
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    {
      "start": 1863.448,
      "end": 1864.568,
      "text": "如何做裁决",
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      "language_run": 0
    },
    {
      "start": 1864.568,
      "end": 1865.328,
      "text": "已经结束了",
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    },
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      "text": "我们可以看到",
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      "text": "刚才他其实是调用了三个工具的",
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    {
      "start": 1867.608,
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      "text": "确实是分发了给不同的agent",
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    },
    {
      "start": 1869.868,
      "end": 1871.468,
      "text": "然后下发了他的任务",
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      "start": 1871.468,
      "end": 1872.608,
      "text": "你是一个辣打的专家",
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      "chunk": 3,
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      "language_run": 0
    },
    {
      "start": 1872.608,
      "end": 1873.248,
      "text": "或者你穿越人",
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      "language_run": 0
    },
    {
      "start": 1873.248,
      "end": 1874.908,
      "text": "好 完整交换就来了",
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    {
      "start": 1874.908,
      "end": 1875.468,
      "text": "第一轮呢",
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      "start": 1875.468,
      "end": 1876.808,
      "text": "我们的甜党先说了",
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    {
      "start": 1876.808,
      "end": 1877.388,
      "text": "就是甜味",
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    },
    {
      "start": 1877.388,
      "end": 1879.068,
      "text": "像英宁肯定是非常喜欢吃甜的",
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      "chunk": 3,
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    },
    {
      "start": 1879.068,
      "end": 1881.028,
      "text": "它可能存在比较幸福的记忆",
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    {
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      "end": 1881.628,
      "text": "我就比较清楚",
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    },
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      "start": 1881.628,
      "end": 1883.528,
      "text": "咸党可能说的是没有咸味",
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      "chunk": 3,
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    },
    {
      "start": 1883.528,
      "end": 1885.388,
      "text": "像一个焦焦比较喜欢吃咸的",
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      "chunk": 3,
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    {
      "start": 1885.388,
      "end": 1886.628,
      "text": "比较沉稳的",
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      "chunk": 3,
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    },
    {
      "start": 1886.628,
      "end": 1888.408,
      "text": "像我当然就喜欢吃辣",
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      "chunk": 3,
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    },
    {
      "start": 1888.408,
      "end": 1890.968,
      "text": "小川水人必须吃火锅都必须吃辣",
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      "chunk": 3,
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    },
    {
      "start": 1890.968,
      "end": 1892.928,
      "text": "他们就开始第二轮的相互攻击了",
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      "chunk": 3,
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    },
    {
      "start": 1892.928,
      "end": 1895.048,
      "text": "那么甜党就开始调侃了一个咸党",
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      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1895.048,
      "end": 1895.788,
      "text": "说它单调",
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      "chunk": 3,
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      "language_run": 0
    },
    {
      "start": 1895.788,
      "end": 1897.288,
      "text": "辣的确实伤胃味",
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      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1897.288,
      "end": 1898.668,
      "text": "现在是比较优雅的",
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      "chunk": 3,
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    {
      "start": 1898.668,
      "end": 1899.968,
      "text": "攻势还比较强硬",
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    },
    {
      "start": 1899.968,
      "end": 1902.048,
      "text": "那么咸党又直接了一个甜党的比较幼稚",
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    },
    {
      "start": 1902.048,
      "end": 1903.228,
      "text": "它有一个非常频繁的一个金句",
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      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1903.228,
      "end": 1905.228,
      "text": "就叫做辣味上头舌头直接化工",
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      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1905.228,
      "end": 1906.428,
      "text": "这和做机会有小区别",
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      "chunk": 3,
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      "language_run": 0
    },
    {
      "start": 1906.428,
      "end": 1908.828,
      "text": "说明参与人其实不太想救美食的",
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      "chunk": 3,
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    },
    {
      "start": 1908.828,
      "end": 1910.828,
      "text": "这种口感可能还是比较喜欢辣味",
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      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1910.828,
      "end": 1911.828,
      "text": "就盖过了全味",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1911.828,
      "end": 1914.428,
      "text": "辣就开始反进来嘲讽我们的田党说",
      "language": "zh",
      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1914.428,
      "end": 1915.828,
      "text": "田党农院活化在童话世界",
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      "chunk": 3,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 1915.828,
      "end": 1916.828,
      "text": "因为田田的甜妹",
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      "chunk": 3,
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      "language_run": 0
    },
    {
      "start": 1916.828,
      "end": 1917.828,
      "text": "田党农院是配角",
      "language": "zh",
      "chunk": 3,
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      "language_run": 0
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    {
      "start": 1917.828,
      "end": 1919.628,
      "text": "也是比较精彩的一个博弈",
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    },
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      "start": 1919.628,
      "end": 1921.228,
      "text": "我们看主义镜党的台办",
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      "chunk": 3,
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      "language_run": 0
    },
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      "start": 1921.228,
      "end": 1922.428,
      "text": "他可能读取了我的记忆",
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      "chunk": 3,
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    },
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      "start": 1922.428,
      "end": 1923.828,
      "text": "他觉得可能是辣的显身",
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      "chunk": 3,
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    {
      "start": 1923.828,
      "end": 1926.028,
      "text": "首先是辣味他可能带来了记忆点",
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    {
      "start": 1926.028,
      "end": 1927.628,
      "text": "甜和咸都太日常了",
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      "start": 1927.628,
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      "text": "但是说句公道话",
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      "start": 1928.828,
      "end": 1931.028,
      "text": "我觉得其实豆腐老师甜的也挺好吃的",
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      "start": 1931.028,
      "end": 1931.708,
      "text": "包括吃咸的",
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    {
      "start": 1931.708,
      "end": 1933.148,
      "text": "开始端水",
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      "start": 1933.148,
      "end": 1936.328,
      "text": "那我们Octop那是没有杨之会端水是吧",
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      "chunk": 3,
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    {
      "start": 1936.328,
      "end": 1938.508,
      "text": "他还真的评出辣当品生",
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      "start": 1938.508,
      "end": 1940.028,
      "text": "我看专幕也说了",
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    {
      "start": 1940.028,
      "end": 1941.028,
      "text": "要吃就要吃两碗",
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      "start": 1941.028,
      "end": 1942.348,
      "text": "要先吃甜的再吃咸的",
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      "start": 1942.348,
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      "text": "说明我们的用户",
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      "start": 1943.108,
      "end": 1945.028,
      "text": "不一定非得吃某一个口味的",
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      "start": 1945.028,
      "end": 1948.228,
      "text": "其实我们也可以再看一下我们这个博弈的过程",
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      "start": 1948.228,
      "end": 1950.588,
      "text": "杨之也可以帮我们再讲解",
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      "start": 1950.588,
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      "text": "那这个过程其实我们是主动调用了几个agent",
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      "text": "哪一个agent来进行裁决的呢",
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      "text": "那在这里我们有一个主Agent",
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      "start": 1959.728,
      "end": 1961.208,
      "text": "因为子Agent和主Agent",
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      "start": 1961.208,
      "end": 1962.368,
      "text": "大概有这么一个概念",
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      "start": 1964.528,
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      "text": "它用完之后它就消失了",
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      "start": 1968.128,
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      "text": "交还给主Agent",
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      "text": "所以必须要让主Agent",
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      "text": "首先它是要定制赛事并且派单",
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      "text": "三个党会有一个逆论",
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      "start": 1979.608,
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      "text": "每个党觉得甜的好吃",
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      "end": 1982.488,
      "text": "咸的好吃还是辣的好吃",
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      "start": 1982.488,
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      "text": "通过主意境的去传递三方的论断了",
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      "start": 1984.748,
      "end": 1985.728,
      "text": "又开始Round the 2了",
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      "start": 1985.728,
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      "text": "三党又不相对",
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      "start": 1986.528,
      "end": 1988.308,
      "text": "最后综合全场出裁写处",
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      "start": 1988.308,
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      "text": "然后就在车上在这里",
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      "start": 1989.268,
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      "text": "他们分别完成后互相看不见",
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      "start": 1991.748,
      "end": 1994.388,
      "text": "在后面的户对环节开始通过主要进展",
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      "start": 1994.388,
      "end": 1997.408,
      "text": "传递给大家每个党派的一个反驳的意见",
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      "language_run": 0
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    {
      "start": 1997.408,
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      "text": "最后主要进行裁判",
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      "start": 1999.248,
      "end": 2000.488,
      "text": "该觉得哪个比较好",
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      "text": "那这里是不是其实平时我们在做调研任务",
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      "text": "或者我们比如有个家长想帮小朋友",
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      "end": 2012.528,
      "text": "看看怎么去收集一些作文素材",
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      "chunk": 4,
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      "text": "是不是其实也可以",
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      "start": 2014.248,
      "end": 2016.188,
      "text": "是给我们Octop分发一个任务",
      "language": "zh",
      "chunk": 4,
      "local_language_run": 0,
      "language_run": 0
    },
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      "start": 2016.188,
      "end": 2020.028,
      "text": "让一个子agent去收集关于历史的素材",
      "language": "zh",
      "chunk": 4,
      "local_language_run": 0,
      "language_run": 0
    },
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      "start": 2020.028,
      "end": 2023.108,
      "text": "另一个子agent去收集关于感动故事",
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      "chunk": 4,
      "local_language_run": 0,
      "language_run": 0
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    {
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      "end": 2025.848,
      "text": "另一个子agent去收集关局名言名言",
      "language": "zh",
      "chunk": 4,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 2025.848,
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      "text": "是不是也是一样的道理",
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      "end": 2028.028,
      "text": "我觉得这个场景非常好",
      "language": "zh",
      "chunk": 4,
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      "end": 2030.368,
      "text": "因为像我们可能观看的观众里面",
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      "end": 2032.568,
      "text": "有一些家长朋友们也比较关心这个问题",
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      "end": 2034.468,
      "text": "那么我要来回答一下大家的这个问题",
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    {
      "start": 2034.468,
      "end": 2036.148,
      "text": "像比如说在TOP里面",
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      "end": 2037.948,
      "text": "比如说我们的有很多的子agent",
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      "chunk": 4,
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      "language_run": 0
    },
    {
      "start": 2037.948,
      "end": 2039.568,
      "text": "在我们的有一些学术的子agent",
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    },
    {
      "start": 2039.568,
      "end": 2040.908,
      "text": "比如像英琳刚刚说的",
      "language": "zh",
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      "text": "我们有地理专家",
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      "end": 2043.548,
      "text": "父母觉得如果地理孩子定性的不好",
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      "start": 2043.548,
      "end": 2045.668,
      "text": "那么可以叫他做一份地理的PDF报告",
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    {
      "start": 2045.668,
      "end": 2048.808,
      "text": "交付款给答应出来给我们的一个小朋友",
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    },
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      "start": 2048.808,
      "end": 2049.768,
      "text": "就跟他们去阅读",
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      "end": 2051.548,
      "text": "我们等于TOP之前是非常支持的",
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      "start": 2051.548,
      "end": 2054.628,
      "text": "包括我看我们刚刚的调研报告也是很顺利的出来了",
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      "start": 2054.628,
      "end": 2057.848,
      "text": "你看包括我们在这里是很交付了一个PDF文件",
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      "chunk": 4,
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      "end": 2059.928,
      "text": "MD文件到时候可以转化为PDF",
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      "end": 2064.448,
      "text": "像用户朋友们就可以在这里去下载到本地之后就可以使用",
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      "end": 2067.228,
      "text": "我相信家长朋友们可能还是比较喜欢给孩子分发中研",
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    },
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      "start": 2067.228,
      "end": 2068.268,
      "text": "也应该比较喜欢这个功能",
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      "start": 2068.268,
      "end": 2069.368,
      "text": "那话不多说了",
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      "text": "我们就看看这个调研报告它竟然都做出来了",
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      "end": 2074.408,
      "text": "那我们先看报告之前",
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      "end": 2078.488,
      "text": "其实我想问那杨泽你最喜欢的奶茶是什么牌子",
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    {
      "start": 2078.488,
      "end": 2080.248,
      "text": "我其实比较喜欢爆炎茶几",
      "language": "zh",
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    {
      "start": 2080.248,
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      "text": "那焦焦",
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      "end": 2083.828,
      "text": "我其实想喜欢喜茶多一点",
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      "start": 2083.828,
      "end": 2086.568,
      "text": "好吧那没有人是点门",
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      "chunk": 4,
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      "end": 2088.648,
      "text": "我就是一点点大头",
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      "language_run": 0
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    {
      "start": 2088.648,
      "end": 2089.888,
      "text": "虽然一点点不在这",
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      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 2089.888,
      "end": 2090.968,
      "text": "一点点很老",
      "language": "zh",
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      "start": 2090.968,
      "end": 2092.688,
      "text": "但我就是坚定的点门人",
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    },
    {
      "start": 2092.688,
      "end": 2097.568,
      "text": "好那我们继续看这个新品牌茶饮三巨头的调研报告吧",
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    {
      "start": 2097.568,
      "end": 2098.528,
      "text": "然后我放大一下",
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    {
      "start": 2098.528,
      "end": 2100.248,
      "text": "供大家可以很好的查看",
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      "start": 2100.248,
      "end": 2102.708,
      "text": "好应该是大概调研报告",
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    },
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      "end": 2103.828,
      "text": "因为我们这有一些折地功能",
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      "start": 2103.828,
      "end": 2106.188,
      "text": "大家如果想这样看就非常方便",
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      "start": 2106.188,
      "end": 2107.068,
      "text": "也可以这样看",
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    {
      "start": 2107.068,
      "end": 2108.108,
      "text": "也支持斜着看",
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    {
      "start": 2108.108,
      "end": 2109.388,
      "text": "我们都非常支持的",
      "language": "zh",
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      "start": 2109.628,
      "end": 2111.468,
      "text": "比如说像现在右半边",
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      "local_language_run": 0,
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      "start": 2111.468,
      "end": 2112.388,
      "text": "右半边看了",
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      "local_language_run": 0,
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    {
      "start": 2112.388,
      "end": 2113.388,
      "text": "或者是下面看",
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    {
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      "end": 2114.028,
      "text": "我们都非常支持",
      "language": "zh",
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      "start": 2114.028,
      "end": 2115.308,
      "text": "那么显然就为了放中间",
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      "local_language_run": 0,
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      "start": 2115.308,
      "end": 2116.388,
      "text": "让大家看得比较清楚",
      "language": "zh",
      "chunk": 4,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 2116.388,
      "end": 2118.228,
      "text": "这是不是就是三折叠",
      "language": "zh",
      "chunk": 4,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 2118.228,
      "end": 2119.828,
      "text": "怎么这么多有边",
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      "chunk": 4,
      "local_language_run": 0,
      "language_run": 0
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    {
      "start": 2119.828,
      "end": 2120.588,
      "text": "对的对的",
      "language": "zh",
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      "language_run": 0
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    {
      "start": 2120.588,
      "end": 2121.148,
      "text": "放大一点",
      "language": "zh",
      "chunk": 4,
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      "language_run": 0
    },
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      "start": 2121.148,
      "end": 2122.828,
      "text": "让大家都比较都很好的看清楚",
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      "chunk": 4,
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    {
      "start": 2122.828,
      "end": 2124.228,
      "text": "像我们的一个G2报告",
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    {
      "start": 2124.228,
      "end": 2126.108,
      "text": "已经茶饮你的老板给你派火了",
      "language": "zh",
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      "language_run": 0
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      "start": 2126.108,
      "end": 2126.988,
      "text": "你就很快的出来",
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      "text": "首先它生成了行业的总染",
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      "end": 2130.068,
      "text": "比如说茶饮现在可能进入一个",
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      "text": "可能大家可以去喝喜茶和赖雪",
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      "text": "所以说我们为什么要引入多一个来",
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      "text": "更好地形成一个调研报纳",
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      "text": "所以分别一个agent调研写查",
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      "text": "耐学的最后再医",
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      "text": "对你把整个的一个调研追过来",
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      "text": "对的交交问的很对",
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      "text": "它是一个如果是变成朋友们比较熟悉",
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      "text": "又和我们的每个专家我们的Octop",
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      "text": "像刚刚也有些影视专家等等那些专家",
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      "text": "它里面的一个东西都会存在里面",
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      "text": "所以那个是一个进程的概念",
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      "text": "未来大家可以多多关注我们的Octop",
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      "text": "帮助大家更好的",
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      "text": "适应这种",
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      "text": "这种宝爸宝妈们",
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      "text": "要给孩子做作业",
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      "text": "当然我们的agent team",
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      "text": "都会保存一些记忆",
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      "text": "欢迎大家继续关注",
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      "text": "那我们这个",
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      "text": "让他做竞品调研",
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      "text": "我们就只需要",
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      "text": "它只能接受文本的一个输入",
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      "text": "但是我们的主A进程",
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      "text": "可以把它的一个子A进程",
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      "text": "做出来的PDF",
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      "text": "这是我们的Octop的一个特色了",
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      "text": "我们也是支持这种",
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      "text": "下一个输出也肯定是支持的",
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      "text": "还有一位粉丝朋友问",
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      "text": "第一老用户",
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      "text": "迁移到Octop后",
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      "text": "原有记忆是否需要重新做GIMA转换",
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      "text": "是这样的",
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      "text": "在原有来靠ACE的记忆",
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      "text": "就是只有memory文件夹下的所有md文档",
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      "text": "你做迁移可以一起迁移过来",
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      "text": "我们现在记忆一遍",
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      "end": 2507.259,
      "text": "那memory.md是可以全量读得到的",
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      "local_language_run": 0,
      "language_run": 0
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    {
      "start": 2507.259,
      "end": 2510.359,
      "text": "那关于其他的一些结构化文档",
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      "local_language_run": 0,
      "language_run": 0
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    {
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      "text": "我们也会推出一个支持的记忆格式转换",
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    {
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      "end": 2517.619,
      "text": "好像不能多用户多智能力",
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      "language_run": 0
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      "end": 2518.759,
      "text": "以共同协作",
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      "text": "对的",
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      "end": 2521.119,
      "text": "因为我们现在的一个思路是",
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      "text": "每个用户和每个用户之间是隔离的",
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    },
    {
      "start": 2522.919,
      "end": 2526.099,
      "text": "所以用户和用户之间是不能够进行一个协作的",
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      "chunk": 5,
      "local_language_run": 0,
      "language_run": 0
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    {
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      "text": "但是如果你有需求",
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    {
      "start": 2527.059,
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      "text": "我觉得是不是未来一向英雄我们是不是可以",
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      "chunk": 5,
      "local_language_run": 0,
      "language_run": 0
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    {
      "start": 2529.359,
      "end": 2532.059,
      "text": "对看这位粉丝朋友的具体需求",
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    },
    {
      "start": 2532.059,
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      "text": "我理解单用户你的多智能体是可以共同协作的",
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    {
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      "text": "我们继续讲解",
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    },
    {
      "start": 2537.579,
      "end": 2542.299,
      "text": "看大家对刚刚的竞品分析的演示有没有什么问题",
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      "chunk": 5,
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      "language_run": 0
    },
    {
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      "text": "我刚刚看到我们的October也是用一条简单的指令",
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      "language_run": 0
    },
    {
      "start": 2546.659,
      "end": 2550.379,
      "text": "立刻产出了一份比较完善角度",
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      "text": "也比较齐全的竞品分析调研报告了",
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      "text": "是的",
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      "text": "看一下大家有什么问题没有",
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      "text": "大家提问",
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      "text": "那大家有没有什么想了解的场景",
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    {
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      "text": "也可以现在在评论区打出来",
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    },
    {
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      "text": "或者是加入用户群里和我们一起探讨一下",
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    },
    {
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      "text": "收费不以后",
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    {
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      "text": "我们不收费",
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    {
      "start": 2569.759,
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      "text": "我们代码现在都开源的",
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    {
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      "text": "我们未来也会在轻量云服务器的控制台上上镜像",
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    {
      "start": 2574.919,
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      "text": "对我们没有收费",
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      "local_language_run": 0,
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    {
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      "text": "对买一台服务器",
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      "text": "包括你现在自己也可以去安装",
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      "text": "安装方式可以去GitHub",
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      "text": "未来我们也会在",
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      "text": "腾讯社区里",
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      "language_run": 0
    },
    {
      "start": 2587.919,
      "end": 2589.219,
      "text": "推出更方便的",
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      "text": "安装方式教学",
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      "text": "对",
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      "text": "好像我们的Optop了吗",
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    {
      "start": 2592.559,
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      "text": "还算不算便宜的",
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      "text": "我们会想欢迎大家",
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    {
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    {
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      "text": "那你可以是全家",
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    {
      "start": 2598.959,
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      "text": "有一个问题",
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      "end": 2601.819,
      "text": "假如说未来我们在",
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    {
      "start": 2601.819,
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      "text": "服务器上上了镜像之后",
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    {
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      "text": "我们的多用户功能",
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    {
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      "text": "也就是相当于",
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    {
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      "text": "只要管理员",
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    {
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      "text": "有一台Optop之后",
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    },
    {
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      "text": "我所设置的多用户",
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    },
    {
      "start": 2612.259,
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      "text": "他们就不用再买了对吗",
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    },
    {
      "start": 2613.799,
      "end": 2614.559,
      "text": "对的",
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      "local_language_run": 0,
      "language_run": 0
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    {
      "start": 2614.559,
      "end": 2616.099,
      "text": "一台服气的Octob",
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      "chunk": 5,
      "local_language_run": 0,
      "language_run": 0
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    {
      "start": 2616.099,
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      "text": "上了镜像",
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      "start": 2620.199,
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      "text": "到时候可以把Hermes镜像",
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    {
      "start": 2621.679,
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      "text": "换成Octob吗",
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      "text": "可以",
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      "text": "其实换镜像",
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      "end": 2629.179,
      "text": "是关于服气的操作",
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      "text": "其实都可以随时做的",
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      "text": "我看还有黄医生问",
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      "text": "ACE转移",
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      "text": "包括记忆聊天记录",
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      "local_language_run": 0,
      "language_run": 0
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      "end": 2638.559,
      "text": "Skill这些无损切换到Octob",
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      "chunk": 5,
      "local_language_run": 0,
      "language_run": 0
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      "start": 2638.559,
      "end": 2639.999,
      "text": "E和Skill",
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      "start": 2639.999,
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      "text": "包括你通道配置",
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      "language_run": 0
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      "start": 2641.519,
      "end": 2643.219,
      "text": "那些配置现在都是无损切换",
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      "chunk": 5,
      "local_language_run": 0,
      "language_run": 0
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    {
      "start": 2643.219,
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      "text": "但是聊天介络",
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      "end": 2647.059,
      "text": "现在的迁移工具还不支持",
      "language": "zh",
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      "local_language_run": 0,
      "language_run": 0
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      "start": 2647.059,
      "end": 2649.259,
      "text": "对如果有强烈需求的话",
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      "end": 2651.819,
      "text": "可以在用户群里讨论",
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      "language_run": 0
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      "end": 2653.899,
      "text": "未来可能看看升级迁移工具",
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      "chunk": 5,
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      "language_run": 0
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    {
      "start": 2653.899,
      "end": 2655.279,
      "text": "或以其他方式支持",
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      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 2655.279,
      "end": 2657.019,
      "text": "什么时候上了清亮云",
      "language": "zh",
      "chunk": 5,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 2657.019,
      "end": 2658.099,
      "text": "很快了",
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      "chunk": 5,
      "local_language_run": 0,
      "language_run": 0
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    {
      "start": 2658.099,
      "end": 2660.739,
      "text": "我们进上工作还差最后的适配",
      "language": "zh",
      "chunk": 5,
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      "language_run": 0
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    {
      "start": 2660.739,
      "end": 2663.439,
      "text": "最迟其实近两周就能上",
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      "chunk": 5,
      "local_language_run": 0,
      "language_run": 0
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    {
      "start": 2663.439,
      "end": 2665.179,
      "text": "对欢迎到周公开",
      "language": "zh",
      "chunk": 5,
      "local_language_run": 0,
      "language_run": 0
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    {
      "start": 2665.179,
      "end": 2665.679,
      "text": "是的",
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      "language_run": 0
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      "end": 2668.239,
      "text": "那我们两位研发工程师",
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      "end": 2670.619,
      "text": "关于October未来的一个产品规划",
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      "chunk": 5,
      "local_language_run": 0,
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    {
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      "end": 2673.159,
      "text": "以及一些会上的功能能力",
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      "language_run": 0
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    {
      "start": 2673.159,
      "end": 2674.759,
      "text": "也可以简单的给大家剧透一下",
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      "chunk": 5,
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    {
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      "end": 2675.819,
      "text": "大家可以期待一下",
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      "end": 2679.439,
      "text": "同时大家如果有什么想要上的功能",
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      "start": 2679.439,
      "end": 2680.599,
      "text": "或者说上线的功能",
      "language": "zh",
      "chunk": 5,
      "local_language_run": 0,
      "language_run": 0
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    {
      "start": 2680.599,
      "end": 2682.539,
      "text": "也可以在评论区里面交流一下",
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      "language_run": 0
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      "end": 2685.379,
      "text": "那么也有请两位简单介绍一下",
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      "text": "那由我先来简单的说说我们的一个初步打算",
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      "end": 2691.659,
      "text": "我们下一段的目标主要是",
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      "text": "正在服务于大家的一个",
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      "text": "从我们ACE前一到我们的TOP里面",
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      "text": "我们在支持这种工序的升级",
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      "text": "这之外我们还在积极地调远Agent Team的一个使用方式",
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    {
      "start": 2699.979,
      "end": 2702.799,
      "text": "以及未来的Octobre在我们的一个QQ群鸟里面",
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      "chunk": 5,
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      "language_run": 0
    },
    {
      "start": 2702.799,
      "end": 2705.639,
      "text": "它怎么样服务好我们的整个一个家庭用户场景",
      "language": "zh",
      "chunk": 5,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 2705.639,
      "end": 2709.579,
      "text": "怎么去把一个Agent服务多个用户的这种能力给发挥出来",
      "language": "zh",
      "chunk": 5,
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      "language_run": 0
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    {
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      "text": "包括我们也来积极地探索",
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      "local_language_run": 0,
      "language_run": 0
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    {
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      "end": 2712.619,
      "text": "像使用这种杀香的机制",
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      "chunk": 5,
      "local_language_run": 0,
      "language_run": 0
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      "text": "像每位用户也可以一个家庭有一个Agent",
      "language": "zh",
      "chunk": 5,
      "local_language_run": 0,
      "language_run": 0
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    {
      "start": 2715.539,
      "end": 2717.999,
      "text": "像我确实也听到过像用户提问",
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      "chunk": 5,
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      "language_run": 0
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    {
      "start": 2717.999,
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      "text": "比如说他希望他看到的东西",
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      "chunk": 5,
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    },
    {
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      "end": 2723.039,
      "text": "他的孩子和他的老婆都能够使用",
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      "chunk": 5,
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      "text": "包括特别是在QQ里面",
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      "language_run": 0
    },
    {
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      "end": 2725.619,
      "text": "未来我们的也会支持",
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      "chunk": 5,
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      "language_run": 0
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      "end": 2726.899,
      "text": "像我们的群鸟",
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      "language_run": 0
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    {
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      "end": 2727.459,
      "text": "Agent的切能",
      "language": "zh",
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      "local_language_run": 0,
      "language_run": 0
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    {
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      "end": 2729.099,
      "text": "我们会做一个类似于杀箱的机制",
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      "local_language_run": 0,
      "language_run": 0
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    {
      "start": 2729.099,
      "end": 2730.539,
      "text": "来支持这种东西",
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    {
      "start": 2730.539,
      "end": 2731.339,
      "text": "因为据我所知",
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      "local_language_run": 0,
      "language_run": 0
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    {
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      "end": 2734.059,
      "text": "现在还是没有一个Agent能够做的很好",
      "language": "zh",
      "chunk": 5,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 2734.059,
      "end": 2734.819,
      "text": "包括Hammus也好",
      "language": "zh",
      "chunk": 5,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 2734.819,
      "end": 2735.619,
      "text": "跟Clau也好",
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      "text": "未来的Octobre",
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      "language_run": 0
    },
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      "start": 2736.299,
      "end": 2737.099,
      "text": "会把这个作为一个",
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      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 2737.099,
      "end": 2739.179,
      "text": "我们的相对的一个竞争优势去完善长",
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      "chunk": 5,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 2739.179,
      "end": 2740.259,
      "text": "是的 期待",
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      "language_run": 0
    },
    {
      "start": 2740.259,
      "end": 2741.859,
      "text": "希望能够加上类似于",
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      "language_run": 0
    },
    {
      "start": 2741.859,
      "end": 2744.019,
      "text": "OakBody项目的模式",
      "language": "zh",
      "chunk": 5,
      "local_language_run": 0,
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    {
      "start": 2744.019,
      "end": 2744.739,
      "text": "应酶",
      "language": "zh",
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      "language_run": 0
    },
    {
      "start": 2744.739,
      "end": 2746.259,
      "text": "我觉得其实我们也可以尝试",
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      "chunk": 5,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 2746.259,
      "end": 2747.539,
      "text": "去往这方面去做一做",
      "language": "zh",
      "chunk": 5,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 2747.539,
      "end": 2749.819,
      "text": "可以回去探讨一下",
      "language": "zh",
      "chunk": 5,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 2749.819,
      "end": 2751.059,
      "text": "对 也欢迎黄众",
      "language": "zh",
      "chunk": 5,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 2751.059,
      "end": 2752.739,
      "text": "现在就在我们的GitHub里面",
      "language": "zh",
      "chunk": 5,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 2752.739,
      "end": 2753.579,
      "text": "机器给我们提issue",
      "language": "zh",
      "chunk": 5,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 2753.579,
      "end": 2754.339,
      "text": "我们看到你的issue",
      "language": "zh",
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      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 2754.339,
      "end": 2755.499,
      "text": "也会把它作为一个",
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      "chunk": 5,
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      "language_run": 0
    },
    {
      "start": 2755.499,
      "end": 2757.219,
      "text": "我们可以未来的发展方向",
      "language": "zh",
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      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 2757.219,
      "end": 2759.339,
      "text": "也欢迎您来给我们做做共同",
      "language": "zh",
      "chunk": 5,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 2759.339,
      "end": 2759.819,
      "text": "做pr",
      "language": "zh",
      "chunk": 5,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 2759.819,
      "end": 2760.659,
      "text": "因为我们这是开云的",
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      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 2760.659,
      "end": 2762.539,
      "text": "也可以服务一下您的一个用户场景",
      "language": "zh",
      "chunk": 5,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 2762.779,
      "end": 2764.139,
      "text": "单个用户的记忆数据",
      "language": "zh",
      "chunk": 5,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 2764.139,
      "end": 2764.779,
      "text": "达到百万级",
      "language": "zh",
      "chunk": 5,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 2764.779,
      "end": 2766.419,
      "text": "Octop怎么保证解锁能力",
      "language": "zh",
      "chunk": 5,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 2766.419,
      "end": 2768.659,
      "text": "对这个我可以回答一下",
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      "chunk": 5,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 2768.659,
      "end": 2769.779,
      "text": "刚刚其实讲到了",
      "language": "zh",
      "chunk": 5,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 2769.779,
      "end": 2771.739,
      "text": "Octop现在的记忆层级",
      "language": "zh",
      "chunk": 5,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 2771.739,
      "end": 2774.339,
      "text": "那其实首先我们会去",
      "language": "zh",
      "chunk": 5,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 2774.339,
      "end": 2776.299,
      "text": "检索所谓的原子卡片",
      "language": "zh",
      "chunk": 5,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 2776.299,
      "end": 2779.259,
      "text": "那其实如果对话数量达到百万级",
      "language": "zh",
      "chunk": 5,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 2779.259,
      "end": 2780.059,
      "text": "我们理解",
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      "language_run": 0
    },
    {
      "start": 2780.059,
      "end": 2781.699,
      "text": "其实近身的原子卡片数量",
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      "chunk": 5,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 2781.699,
      "end": 2782.659,
      "text": "并没有这么多",
      "language": "zh",
      "chunk": 5,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 2782.659,
      "end": 2785.459,
      "text": "对那一我们是先召回原子卡片",
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      "chunk": 5,
      "local_language_run": 0,
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    },
    {
      "start": 2785.459,
      "end": 2787.059,
      "text": "然后分层检索",
      "language": "zh",
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    },
    {
      "start": 2787.059,
      "end": 2789.279,
      "text": "我理解其实我们就是先召回原子卡片",
      "language": "zh",
      "chunk": 5,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 2789.279,
      "end": 2793.299,
      "text": "然后再从候选者最后再召回到原始事件",
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    {
      "start": 2793.299,
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      "text": "其实这是一个分层的检索forback",
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