{
  "text": "你好,千文。介绍一下你自己吧。给我讲一个笑话吧。\n剧员说不用咖啡是热的\n电脑说那好吧\n我这就把咖啡也热一下\n希望这个笑话能让你会心一笑\n大家好啊\n刚才给这是给大家展示了一下\n这个项目的一个效果\n那么今天呢\n我们讲一个非常有趣\n并且我感觉也比较新颖的一个项目\n叫千万Audio Agent\n大家看一下这个名字就非常清楚这个项目讲了个什么事\n首先是audio\n重要的是audio和agent\n千万必须要介绍\n肯定是人家阿里搞的\n感谢官方的分享\n然后audio和agent\n结合在一起\n大家实际看到了刚才我给大家展示的效果\n可以进行语音交互\n以及自然的问答\n特别真实\n特别流畅\n而且大家也可以看到视频中\n那么这个项目也支持这个打断功能\n你随时可以新的问题提出可以打断\n那么下面我们就看一下\n这个项目的一些具体介绍\n以及安装注意事项\n先说这个介绍吧\n因为安装注意事项那还是比较复杂的\n然后说这个项目呢\n官方说是真正的交流啊\n不该再说完一句话后\n陷入漫长的等待\n也不该因为agent\n他正在查资料\n调用工具和处理任务\n正常对话就此诈听啊\n其实他\n我是这么理解的啊\n可能不是很准确\n我认为就是\n一个一个真正的对话的一个agent啊\n不需要再打字啊\n那么通过这种对话的交流啊\n就可以实现调用agent啊\n调用工具啊\n实现某种电脑上的那具体的操作啊\n然后我们接着看啊\n做了这个\n然后官方就做了这个agent啊\n让agent持续交流\n持续工作\n持续实时对话进行交流啊\n这个我觉得还是\n比较新颖啊\n比较特别的\n而且大家也看到我\n我们实际这个展示这个效果啊\n我感觉这个效果还是非常好的啊\n也没有打断很流畅很连贯啊\n就是这么样一个效果\n然后下面呢\n就是它的一个日志\n就是更新日志\n大家可以具体看一看\n然后这个呢\n就是一个实际的展示视频\n那么大家有兴趣的话\n我就不在这给大家一块看了\n大家这一分多钟\n大家自己去慢慢看\n然后看一下特色\n说双双\n全双公实施语音交互\n自然打断持续多轮对话\n刚才的演示\n我已经充分了给大家展示了个\n什么叫实时运营交互\n什么叫打断\n什么叫持续多轮\n刚才演示中\n已经给大家介绍了\n已经给大家展示出来了\n然后一键选择你办事的agent\n服用所有的工具\nmcp以及技能\n这个项目还是扩展性还是很好的\n就这个扩展性的说法\n就是在于它可以\n使用现有的工具\nmcp及技能\n这个扩展性非常好\n而兼容性也非常好\n扩展和兼容性都非常好\n然后前台对话与后台任务\n并加起去可以\n随时追问任务技能和取消任务\n这个我也尝试过\n完全OK的\n它甚至可以开子任务\n但是它的子任务\n我目前认为\n可能他还是在在调用其他agent中的\n的任务去执行相关的\n呃任务工作啊\n支持创建多个独立任务啊\n然后由后台的agent一步执行啊\n并持续追踪任务状态\n就是我说的这个意思啊\n其实用后台的这个agent\n一步执行啊\n多个独立的子agent的任务啊\n就可以这么理解\n可能比较绕嘴\n还是其实呃\n总体来说就这么样一个流程\n就是说呃\n前往audio agent去调用后台的agent\n那么这个后台的agent有多种方案\n那么你可以选取一种agent的方案\n然后这个agent的方案\n可以一步的去使用其中的自agent\n去执行任务啊\n就是这么样一个流程\n大家可以理解一下\n我说了这个意思啊\n任务结束自动回答\n回答到当前对话\n就是说他的一步子任务啊\n完成之后可以就给你一个反馈啊\n就是一步的啊\n支持继续追问和修改\n那么你也可以对这个一部任务进行继续的追问修改\n支持web UI\n终端TUI和桌面球\n这个目前的话web UI和终端UI的话\n我没怎么用\n但是我用的是个悬浮球\n我认为这个悬浮球非常好用\n我就没用web UI和中端TUI\n其实这两个其实也没什么\n其实这三个没什么区别\n啊啊\n我觉得这个中单球比较方便\n所以也不占地方顺手就可以\n拈来啊\n比较舒服\n所以我就用这个了啊\n支持当心用户长期更新化的\n跨会画机翼啊\n这个我机翼我倒是\n呃没没充分利用上啊\n我等于后期研究研究再再给大家展示啊\n那么这样这个就是探口价值不拖啊\n那么用户问了\n然后通过这个audio runtime啊\n通过上下文去执行这个Audio Runtime\n这个Agent\nAgent Runtime\n然后给反馈\n最终给了用户\n其实就这么样一个流程\n其实这个流程中\n我们看了三个主要主体用户\n千万Audio Runtime\n还有Agent\n这么三个主要的角色\n主体\n任务主体\n那么这样就是一个简单的架构图\n还有一个具体的一个架构图\n这个具体架构图\n接入参考架构\n那么这个架构图的话\n大家就自己去详细看吧\n因为这个上面文字比较多\n我不希望视频太长\n但流程其实就跟上面这个大差不诈\n只不过是可能多了很多的细分\n下面就说到了比较重要的东西了\n就是它这个后端agent\n就是我们刚才讲的后端agent这里\n就刚才特色的后端agent\n那么这个后端的agent呢\n你可以选到没有啊\n你也可以用目前一支的全部主流啊\n记得是全部主流的这种agent工具啊\n可能是agent工具啊\n包括我就不念了\n反正就是市面最主流的全部都有啊\n这里面呢我用的是hermes\nHermes啊\n我觉得OpenCloud我还挺想用的\n但是呃我我我喜欢用的Hermes\n因为我觉得现在Hermes的速度特别快啊\n因为最近公新了这个呃\n181920这个版本之后这个Hermes的嗯\n至于说其他的比如说Codex啊\nClaw Code啊还有这个OpenClaw呢\n我因为他是巧接啊\n巧接的话他的我觉得他的反应\n反应速度可能没有远胜速度那么快啊\n所以我这里面最推荐的还是用Hermes啊\n大家可以啊就是用自己喜欢的\n然后如果你是用这个这个Web UI啊\n你可以用这个这个安装啊\n安装一下这个NUDEJS安装一下啊\n大家注意这个node.js版本就行了\n然后呢\n是配这个模型啊\n这个这个如果你是用这个node.js这个这个安装方案的话\n那你就要需要\n嗯去去在这个webui或者tui里面去配置一下\n嗯相关的这个模型\nk啊\n呃包括这个云前天模型\n还有这个\nagent 他的这个后台agent 的这个方案啊\n嗯还有这个\n后台模型啊\n因为他这里面模型非常多啊\n因为你看这就有\n语音模型啊\n语音前的语音模型用用于交互的啊\n就是语音交互的啊\n模型\n然后这个后台模型呢\n就是他交互的话\n你不是有一个一个思考处理的过程吗\n那么就是这个东西\n其实啊\n这个就负责语音交互啊\n这个就负责这个\n文字反馈啊\n你可以这么想反馈吧\n包括工具工具调用\n也不是工具工具调用\n其实也是后台agent就投作\n就是一个反馈吧\n问答问答反馈\n就像你正常使用模型的问答反馈\n然后包括这些设置\n包括你可以用这个\n这个tui可以听tui\n如重点来了\n大家重点\n如果你想用本地部署\n那你就需要s2s\n这个本地部署方案\n然后桌面版的这个TYF\n后台的Agent\n各样化记忆的话这个东西\n我还真没没去试\n但是我觉得这个东西其实没必要去试\n为什么呢\n因为这个东西跟OpenCloud和Hermes的话是一样的\n那么都有这些角色都有那记忆\n我认为没什么任何巨大的区别\n巨大的区别顺手啊顺手拈来啊顺手就可以上手的事\n所以你必要去具体去演示这个这个东西了啊\n然后注意事项大家看一下啊\n然后圆满圆满的开发啊\n圆满由nojs去做一些开发工作啊\n总体来说的话\n这个项目啊\n我认为还是比较吸引的\n这种全创工的这种交互啊\n打断而且准确率非常好啊\n非常好啊\n是这样的啊\n我还要补充几点啊\n补充几点呢\n是在于这个安装和使用的问题啊\n我找一下那个问题啊\n就这里吧\n就是说这个这个语音模型呢\n它默认啊\n你可以接阿里百列千万的这个这个API啊\n那么APIAPI会一定的免费额度\n那如果你想用本地的这个前台语音模型\n那你只能用\n刚才我说这个\ns\ns2s啊\n刚才那个\n我找一下那个位置啊\n啊\n就这个s2s啊\n去去接这个\n这个本地的\n云音模型啊\n本地的云音模型\n那么这个问题就解决了\n而且这个本地的云音模型\n它又有两种方案\n两种模型可以做\n比如说\n你可以走\nGUF了和\n这个\n这个\n这个\n这个原本\n他是这个模型啊\n就反正\n嗯\n就是两种也是两种方案啊\n但是根据你机器的情况啊\n去做本地的部署\n这这是这个这个云模型啊\n那么这两个本地部署的模型\n包括API\n我都全部试了一遍啊\n我认为可能API的\n效果会\n够好一点\n但是其实本地的效果\n我觉得也非常OK啊\n就正常的\n正常的识别以及正常的反馈都非常快啊\n而且它的显存的话\n应该从两三个G到最高占用六个多G吧\n就是这么样的显存占用\n如果是用本地的云云前台模型的话\n那如果你用的是这个这个后台模型啊\n就是说后台模型的话\n你也可以用本地部署\n因为你后台模型你可以接\n这个用open cloud去接这个后台本地的这个模型啊\n也可以就说\n就说如果你不用这个后台\n就是这个就就选择这个无模式啊\n无无无这个后台agent的话\n那么你就可以选用自己再接一个这个这个本地的这个\n比如说千万3.6那一些模型啊\n就可以了\n所以这个项目\n完全可以实现啊\n本地化啊\n完全本地化\n而且他的本地化\n我感觉他的效果\n其实就说能达到APR\n我就认为80%90%以上的效果\n是没有任何问题的\n我认为这个效果还是很好的\n所以对于这种\n语音全双公实施对话的agent\n我还是比较看好的\n也花了很长的时间\n一两个周的时间\n去对这个项目详细的了解一下\n那么今天就把这个项目推荐给大家\n还有一点我想补充的话\n就是说这个项目的部署难度是\n如果是就是说你要接API的话\n那么难度还不是很高\n但是如果说你要走原生本地\n本地去全部本地离线去做部署的话\n这个项目难度还是有一定的难度\n如果按照10分满分的话\n我认为他的部署难度可能在5分左右\n但是如果说像我这样老鼠的话\n部署的话应该也就那么回事\n也就非常简单\n也就部署完了\n其实对于老鼠的话来说\n这个项目并部署并没有难度\n并没有难度\n但是对于刚接触部署的新同学来说的话\n难度我认为是至少得有5分左右\n满分10分的话只有5分\n所以这个项目推荐给大家啊\n如果说大家在使用或安装过程中有任何的问题啊\n欢迎大家平台随意我或者加我微啊\n我的联系方式都在视频下方啊\n感谢大家观看\n我们下期再见",
  "language": "zh",
  "duration": 910.016,
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    {
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      "end": 16.0,
      "text": "你好,千文。介绍一下你自己吧。给我讲一个笑话吧。",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.5012783382249915,
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      "start": 30.0,
      "end": 32.56,
      "text": "剧员说不用咖啡是热的",
      "chunk": 0,
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      "end": 34.64,
      "text": "电脑说那好吧",
      "chunk": 0,
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      "start": 34.64,
      "end": 36.6,
      "text": "我这就把咖啡也热一下",
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    {
      "start": 36.6,
      "end": 39.54,
      "text": "希望这个笑话能让你会心一笑",
      "chunk": 0,
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      "no_speech_prob": 2.8931194245851444e-11,
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    {
      "start": 39.54,
      "end": 43.12,
      "text": "大家好啊",
      "chunk": 0,
      "language": "zh",
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      "no_speech_prob": 2.8931194245851444e-11,
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      "start": 43.12,
      "end": 46.12,
      "text": "刚才给这是给大家展示了一下",
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      "language": "zh",
      "avg_logprob": -0.21858989397684733,
      "no_speech_prob": 2.8931194245851444e-11,
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    {
      "start": 46.12,
      "end": 49.34,
      "text": "这个项目的一个效果",
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      "avg_logprob": -0.21858989397684733,
      "no_speech_prob": 2.8931194245851444e-11,
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    {
      "start": 49.34,
      "end": 51.12,
      "text": "那么今天呢",
      "chunk": 0,
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    {
      "start": 51.12,
      "end": 53.0,
      "text": "我们讲一个非常有趣",
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    {
      "start": 53.0,
      "end": 56.2,
      "text": "并且我感觉也比较新颖的一个项目",
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    {
      "start": 56.2,
      "end": 58.4,
      "text": "叫千万Audio Agent",
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      "start": 58.4,
      "end": 65.04,
      "text": "大家看一下这个名字就非常清楚这个项目讲了个什么事",
      "chunk": 0,
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      "avg_logprob": -0.18908170896155813,
      "no_speech_prob": 1.6053380846869914e-11,
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    {
      "start": 65.04,
      "end": 67.04,
      "text": "首先是audio",
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    {
      "start": 67.04,
      "end": 69.28,
      "text": "重要的是audio和agent",
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    {
      "start": 69.28,
      "end": 71.42,
      "text": "千万必须要介绍",
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    {
      "start": 71.42,
      "end": 73.44,
      "text": "肯定是人家阿里搞的",
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    {
      "start": 73.44,
      "end": 77.76,
      "text": "感谢官方的分享",
      "chunk": 0,
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      "avg_logprob": -0.18908170896155813,
      "no_speech_prob": 1.6053380846869914e-11,
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      "start": 77.76,
      "end": 80.18,
      "text": "然后audio和agent",
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    {
      "start": 80.18,
      "end": 81.56,
      "text": "结合在一起",
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    {
      "start": 81.56,
      "end": 85.18,
      "text": "大家实际看到了刚才我给大家展示的效果",
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    {
      "start": 85.18,
      "end": 87.6,
      "text": "可以进行语音交互",
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    {
      "start": 87.6,
      "end": 90.26,
      "text": "以及自然的问答",
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    {
      "start": 90.26,
      "end": 91.54,
      "text": "特别真实",
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      "start": 91.54,
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      "start": 93.12,
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    {
      "start": 95.82,
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      "text": "那么这个项目也支持这个打断功能",
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    {
      "start": 99.18,
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      "text": "你随时可以新的问题提出可以打断",
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    {
      "start": 103.1,
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      "text": "那么下面我们就看一下",
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    {
      "start": 105.52,
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      "text": "这个项目的一些具体介绍",
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    {
      "start": 107.28,
      "end": 108.78,
      "text": "以及安装注意事项",
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    {
      "start": 108.78,
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      "text": "先说这个介绍吧",
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    {
      "start": 112.06,
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      "text": "因为安装注意事项那还是比较复杂的",
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    {
      "start": 114.76,
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      "text": "然后说这个项目呢",
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    {
      "start": 116.96,
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      "text": "官方说是真正的交流啊",
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    {
      "start": 118.92,
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      "text": "不该再说完一句话后",
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    {
      "start": 120.66,
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      "text": "陷入漫长的等待",
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    {
      "start": 122.02,
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      "text": "也不该因为agent",
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    {
      "start": 123.4,
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      "text": "他正在查资料",
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    {
      "start": 124.24,
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      "text": "调用工具和处理任务",
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    {
      "start": 125.9,
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      "text": "正常对话就此诈听啊",
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    {
      "start": 128.42,
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      "text": "其实他",
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    {
      "start": 129.08,
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      "text": "我是这么理解的啊",
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    {
      "start": 130.98,
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      "text": "可能不是很准确",
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    {
      "start": 132.08,
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      "text": "我认为就是",
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    {
      "start": 132.92,
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      "text": "一个一个真正的对话的一个agent啊",
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    {
      "start": 136.34,
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      "text": "不需要再打字啊",
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    {
      "start": 137.74,
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      "text": "那么通过这种对话的交流啊",
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    {
      "start": 140.92,
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      "text": "就可以实现调用agent啊",
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      "text": "调用工具啊",
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    {
      "start": 146.22,
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      "text": "实现某种电脑上的那具体的操作啊",
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      "start": 150.38,
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      "text": "然后我们接着看啊",
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    {
      "start": 153.02,
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      "text": "做了这个",
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    {
      "start": 153.8,
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      "text": "然后官方就做了这个agent啊",
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    {
      "start": 156.34,
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      "text": "让agent持续交流",
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    {
      "start": 157.72,
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      "text": "持续工作",
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    {
      "start": 158.38,
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      "text": "持续实时对话进行交流啊",
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      "start": 160.76,
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      "text": "这个我觉得还是",
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    {
      "start": 162.18,
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      "text": "比较新颖啊",
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    {
      "start": 164.64,
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      "text": "比较特别的",
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      "start": 165.44,
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      "text": "而且大家也看到我",
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    {
      "start": 166.88,
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      "text": "我们实际这个展示这个效果啊",
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    {
      "start": 169.52,
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      "text": "我感觉这个效果还是非常好的啊",
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    {
      "start": 172.36,
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      "text": "也没有打断很流畅很连贯啊",
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    {
      "start": 175.18,
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      "text": "就是这么样一个效果",
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    {
      "start": 176.66,
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      "text": "然后下面呢",
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    {
      "start": 178.02,
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      "text": "就是它的一个日志",
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    {
      "start": 181.2,
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      "text": "就是更新日志",
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    {
      "start": 182.52,
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      "text": "大家可以具体看一看",
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    {
      "start": 184.4,
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      "text": "然后这个呢",
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    {
      "start": 186.56,
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      "text": "就是一个实际的展示视频",
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    {
      "start": 189.06,
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      "text": "那么大家有兴趣的话",
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      "start": 191.48,
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      "text": "我就不在这给大家一块看了",
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    {
      "start": 194.54,
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      "text": "大家这一分多钟",
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    {
      "start": 195.72,
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      "text": "大家自己去慢慢看",
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    {
      "start": 196.9,
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      "text": "然后看一下特色",
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    {
      "start": 199.28,
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      "text": "说双双",
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    {
      "start": 200.52,
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      "text": "全双公实施语音交互",
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      "avg_logprob": -0.1602033727309283,
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    {
      "start": 203.12,
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      "text": "自然打断持续多轮对话",
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    {
      "start": 205.22,
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      "text": "刚才的演示",
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    {
      "start": 206.48,
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      "text": "我已经充分了给大家展示了个",
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      "start": 209.66,
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      "text": "什么叫实时运营交互",
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      "text": "什么叫打断",
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      "start": 213.08,
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      "text": "什么叫持续多轮",
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      "text": "刚才演示中",
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    {
      "start": 215.44,
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      "text": "已经给大家介绍了",
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    {
      "start": 217.12,
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      "text": "已经给大家展示出来了",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.11225002288818359,
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    {
      "start": 218.88,
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      "text": "然后一键选择你办事的agent",
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    {
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      "text": "服用所有的工具",
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    {
      "start": 223.18,
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      "text": "mcp以及技能",
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    {
      "start": 224.9,
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      "text": "这个项目还是扩展性还是很好的",
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    {
      "start": 229.06,
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      "text": "就这个扩展性的说法",
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      "start": 232.88,
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      "text": "就是在于它可以",
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    {
      "start": 234.58,
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      "text": "使用现有的工具",
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    {
      "start": 236.44,
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      "text": "mcp及技能",
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    {
      "start": 237.72,
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      "text": "这个扩展性非常好",
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    {
      "start": 239.58,
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      "text": "而兼容性也非常好",
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    {
      "start": 241.5,
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      "text": "扩展和兼容性都非常好",
      "chunk": 0,
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      "avg_logprob": -0.18958485644796622,
      "no_speech_prob": 2.867913198589811e-11,
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    {
      "start": 243.14,
      "end": 245.76,
      "text": "然后前台对话与后台任务",
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    {
      "start": 245.76,
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      "text": "并加起去可以",
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    {
      "start": 247.02,
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      "text": "随时追问任务技能和取消任务",
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    {
      "start": 250.48,
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      "text": "这个我也尝试过",
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    {
      "start": 252.6,
      "end": 253.42,
      "text": "完全OK的",
      "chunk": 0,
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    {
      "start": 253.42,
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      "text": "它甚至可以开子任务",
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    {
      "start": 256.44,
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      "text": "但是它的子任务",
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    {
      "start": 258.92,
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      "text": "我目前认为",
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    {
      "start": 260.62,
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      "text": "可能他还是在在调用其他agent中的",
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    {
      "start": 263.68,
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      "text": "的任务去执行相关的",
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    {
      "start": 266.32,
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      "text": "呃任务工作啊",
      "chunk": 0,
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    {
      "start": 268.56,
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      "text": "支持创建多个独立任务啊",
      "chunk": 0,
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      "avg_logprob": -0.19341506958007812,
      "no_speech_prob": 2.686637023963101e-11,
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    {
      "start": 270.72,
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      "text": "然后由后台的agent一步执行啊",
      "chunk": 0,
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    {
      "start": 273.46,
      "end": 275.22,
      "text": "并持续追踪任务状态",
      "chunk": 0,
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      "no_speech_prob": 2.686637023963101e-11,
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    {
      "start": 275.22,
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      "text": "就是我说的这个意思啊",
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    {
      "start": 276.98,
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      "text": "其实用后台的这个agent",
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    {
      "start": 278.86,
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      "text": "一步执行啊",
      "chunk": 0,
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    {
      "start": 280.52,
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      "text": "多个独立的子agent的任务啊",
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    {
      "start": 283.46,
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      "text": "就可以这么理解",
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    {
      "start": 284.32,
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      "text": "可能比较绕嘴",
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    {
      "start": 285.18,
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      "text": "还是其实呃",
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    {
      "start": 286.72,
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      "text": "总体来说就这么样一个流程",
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    {
      "start": 288.38,
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      "text": "就是说呃",
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    {
      "start": 289.48,
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      "text": "前往audio agent去调用后台的agent",
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    {
      "start": 293.28,
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      "text": "那么这个后台的agent有多种方案",
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    {
      "start": 295.68,
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      "text": "那么你可以选取一种agent的方案",
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    {
      "start": 297.98,
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      "text": "然后这个agent的方案",
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    {
      "start": 299.16,
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      "text": "可以一步的去使用其中的自agent",
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    {
      "start": 302.52,
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      "text": "去执行任务啊",
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    {
      "start": 304.04,
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      "text": "就是这么样一个流程",
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    {
      "start": 306.16,
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      "text": "大家可以理解一下",
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      "start": 307.48,
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      "text": "我说了这个意思啊",
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    {
      "start": 308.86,
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      "text": "任务结束自动回答",
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    {
      "start": 310.62,
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      "text": "回答到当前对话",
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    {
      "start": 312.18,
      "end": 314.94,
      "text": "就是说他的一步子任务啊",
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    {
      "start": 314.94,
      "end": 317.56,
      "text": "完成之后可以就给你一个反馈啊",
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    {
      "start": 317.56,
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      "text": "就是一步的啊",
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    {
      "start": 318.56,
      "end": 321.86,
      "text": "支持继续追问和修改",
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      "avg_logprob": -0.14064869982130984,
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    {
      "start": 321.86,
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      "text": "那么你也可以对这个一部任务进行继续的追问修改",
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    {
      "start": 325.24,
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      "text": "支持web UI",
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    {
      "start": 326.3,
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      "text": "终端TUI和桌面球",
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      "avg_logprob": -0.14064869982130984,
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    {
      "start": 328.76,
      "end": 333.36,
      "text": "这个目前的话web UI和终端UI的话",
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    {
      "start": 333.36,
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      "text": "我没怎么用",
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    {
      "start": 334.42,
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      "text": "但是我用的是个悬浮球",
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    {
      "start": 336.82,
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      "text": "我认为这个悬浮球非常好用",
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      "start": 338.36,
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      "text": "我就没用web UI和中端TUI",
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      "start": 341.4,
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      "text": "其实这两个其实也没什么",
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    {
      "start": 343.34,
      "end": 345.62,
      "text": "其实这三个没什么区别",
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    {
      "start": 345.62,
      "end": 346.86,
      "text": "啊啊",
      "chunk": 0,
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    {
      "start": 346.86,
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      "text": "我觉得这个中单球比较方便",
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    {
      "start": 348.62,
      "end": 350.82,
      "text": "所以也不占地方顺手就可以",
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    {
      "start": 351.38,
      "end": 352.22,
      "text": "拈来啊",
      "chunk": 0,
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    {
      "start": 352.22,
      "end": 353.12,
      "text": "比较舒服",
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    {
      "start": 353.12,
      "end": 354.62,
      "text": "所以我就用这个了啊",
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    {
      "start": 354.62,
      "end": 357.02,
      "text": "支持当心用户长期更新化的",
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      "avg_logprob": -0.36208106034638865,
      "no_speech_prob": 3.761618100339703e-11,
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    {
      "start": 357.02,
      "end": 359.02,
      "text": "跨会画机翼啊",
      "chunk": 0,
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      "no_speech_prob": 3.761618100339703e-11,
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    {
      "start": 359.02,
      "end": 360.62,
      "text": "这个我机翼我倒是",
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    {
      "start": 360.62,
      "end": 362.38,
      "text": "呃没没充分利用上啊",
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      "no_speech_prob": 3.761618100339703e-11,
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    {
      "start": 362.38,
      "end": 365.62,
      "text": "我等于后期研究研究再再给大家展示啊",
      "chunk": 0,
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      "no_speech_prob": 3.761618100339703e-11,
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    {
      "start": 367.02,
      "end": 369.72,
      "text": "那么这样这个就是探口价值不拖啊",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.36208106034638865,
      "no_speech_prob": 3.761618100339703e-11,
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    {
      "start": 369.72,
      "end": 370.72,
      "text": "那么用户问了",
      "chunk": 0,
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      "avg_logprob": -0.36208106034638865,
      "no_speech_prob": 3.761618100339703e-11,
      "compression_ratio": 1.306896551724138
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    {
      "start": 370.72,
      "end": 373.22,
      "text": "然后通过这个audio runtime啊",
      "chunk": 0,
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      "avg_logprob": -0.36208106034638865,
      "no_speech_prob": 3.761618100339703e-11,
      "compression_ratio": 1.306896551724138
    },
    {
      "start": 373.22,
      "end": 376.36,
      "text": "通过上下文去执行这个Audio Runtime",
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      "avg_logprob": -0.18653205753296845,
      "no_speech_prob": 2.7474793273807308e-11,
      "compression_ratio": 1.3333333333333333
    },
    {
      "start": 376.36,
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      "text": "这个Agent",
      "chunk": 0,
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      "compression_ratio": 1.3333333333333333
    },
    {
      "start": 377.52,
      "end": 378.8,
      "text": "Agent Runtime",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.18653205753296845,
      "no_speech_prob": 2.7474793273807308e-11,
      "compression_ratio": 1.3333333333333333
    },
    {
      "start": 378.8,
      "end": 380.7,
      "text": "然后给反馈",
      "chunk": 0,
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      "no_speech_prob": 2.7474793273807308e-11,
      "compression_ratio": 1.3333333333333333
    },
    {
      "start": 380.7,
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      "text": "最终给了用户",
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      "compression_ratio": 1.3333333333333333
    },
    {
      "start": 382.1,
      "end": 384.16,
      "text": "其实就这么样一个流程",
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    },
    {
      "start": 384.16,
      "end": 385.68,
      "text": "其实这个流程中",
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      "compression_ratio": 1.3333333333333333
    },
    {
      "start": 385.68,
      "end": 387.94,
      "text": "我们看了三个主要主体用户",
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      "compression_ratio": 1.3333333333333333
    },
    {
      "start": 387.94,
      "end": 391.52,
      "text": "千万Audio Runtime",
      "chunk": 0,
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    },
    {
      "start": 391.52,
      "end": 392.5,
      "text": "还有Agent",
      "chunk": 0,
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    },
    {
      "start": 392.5,
      "end": 395.48,
      "text": "这么三个主要的角色",
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      "compression_ratio": 1.3333333333333333
    },
    {
      "start": 395.48,
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      "text": "主体",
      "chunk": 0,
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      "compression_ratio": 1.3333333333333333
    },
    {
      "start": 397.06,
      "end": 397.92,
      "text": "任务主体",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.18653205753296845,
      "no_speech_prob": 2.7474793273807308e-11,
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    },
    {
      "start": 397.92,
      "end": 402.08,
      "text": "那么这样就是一个简单的架构图",
      "chunk": 0,
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      "no_speech_prob": 2.7474793273807308e-11,
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    },
    {
      "start": 402.08,
      "end": 405.08,
      "text": "还有一个具体的一个架构图",
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      "no_speech_prob": 3.251373822954484e-11,
      "compression_ratio": 1.4471830985915493
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    {
      "start": 405.08,
      "end": 406.08,
      "text": "这个具体架构图",
      "chunk": 0,
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      "avg_logprob": -0.19702556133270263,
      "no_speech_prob": 3.251373822954484e-11,
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    {
      "start": 406.08,
      "end": 407.58,
      "text": "接入参考架构",
      "chunk": 0,
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      "no_speech_prob": 3.251373822954484e-11,
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    {
      "start": 407.58,
      "end": 409.34,
      "text": "那么这个架构图的话",
      "chunk": 0,
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      "avg_logprob": -0.19702556133270263,
      "no_speech_prob": 3.251373822954484e-11,
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    {
      "start": 409.34,
      "end": 412.04,
      "text": "大家就自己去详细看吧",
      "chunk": 0,
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      "avg_logprob": -0.19702556133270263,
      "no_speech_prob": 3.251373822954484e-11,
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    },
    {
      "start": 412.04,
      "end": 413.84,
      "text": "因为这个上面文字比较多",
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      "avg_logprob": -0.19702556133270263,
      "no_speech_prob": 3.251373822954484e-11,
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    {
      "start": 413.84,
      "end": 415.52,
      "text": "我不希望视频太长",
      "chunk": 0,
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      "no_speech_prob": 3.251373822954484e-11,
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    },
    {
      "start": 415.52,
      "end": 418.82,
      "text": "但流程其实就跟上面这个大差不诈",
      "chunk": 0,
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      "no_speech_prob": 3.251373822954484e-11,
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    {
      "start": 418.82,
      "end": 421.12,
      "text": "只不过是可能多了很多的细分",
      "chunk": 0,
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    },
    {
      "start": 421.12,
      "end": 424.62,
      "text": "下面就说到了比较重要的东西了",
      "chunk": 0,
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    {
      "start": 424.62,
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      "text": "就是它这个后端agent",
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    {
      "start": 426.38,
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      "text": "就是我们刚才讲的后端agent这里",
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      "no_speech_prob": 3.251373822954484e-11,
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    {
      "start": 429.12,
      "end": 432.06,
      "text": "就刚才特色的后端agent",
      "chunk": 0,
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      "avg_logprob": -0.19702556133270263,
      "no_speech_prob": 3.251373822954484e-11,
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    {
      "start": 432.06,
      "end": 435.06,
      "text": "那么这个后端的agent呢",
      "chunk": 0,
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      "avg_logprob": -0.2178672578599718,
      "no_speech_prob": 4.252902197077191e-11,
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    {
      "start": 435.06,
      "end": 437.06,
      "text": "你可以选到没有啊",
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      "avg_logprob": -0.2178672578599718,
      "no_speech_prob": 4.252902197077191e-11,
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    },
    {
      "start": 437.06,
      "end": 442.06,
      "text": "你也可以用目前一支的全部主流啊",
      "chunk": 0,
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      "avg_logprob": -0.2178672578599718,
      "no_speech_prob": 4.252902197077191e-11,
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    },
    {
      "start": 442.06,
      "end": 448.06,
      "text": "记得是全部主流的这种agent工具啊",
      "chunk": 0,
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      "no_speech_prob": 4.252902197077191e-11,
      "compression_ratio": 1.305
    },
    {
      "start": 448.06,
      "end": 450.06,
      "text": "可能是agent工具啊",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.2178672578599718,
      "no_speech_prob": 4.252902197077191e-11,
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    },
    {
      "start": 450.06,
      "end": 452.06,
      "text": "包括我就不念了",
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      "avg_logprob": -0.2178672578599718,
      "no_speech_prob": 4.252902197077191e-11,
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    },
    {
      "start": 452.06,
      "end": 455.06,
      "text": "反正就是市面最主流的全部都有啊",
      "chunk": 0,
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    {
      "start": 455.06,
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      "text": "这里面呢我用的是hermes",
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    {
      "start": 460.06,
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      "text": "Hermes啊",
      "chunk": 0,
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      "avg_logprob": -0.3206377421339897,
      "no_speech_prob": 2.323236568402276e-11,
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    {
      "start": 461.42,
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      "text": "我觉得OpenCloud我还挺想用的",
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    {
      "start": 463.52,
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      "text": "但是呃我我我喜欢用的Hermes",
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      "avg_logprob": -0.3206377421339897,
      "no_speech_prob": 2.323236568402276e-11,
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    {
      "start": 466.9,
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      "text": "因为我觉得现在Hermes的速度特别快啊",
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      "avg_logprob": -0.3206377421339897,
      "no_speech_prob": 2.323236568402276e-11,
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    {
      "start": 470.5,
      "end": 473.32,
      "text": "因为最近公新了这个呃",
      "chunk": 0,
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      "avg_logprob": -0.3206377421339897,
      "no_speech_prob": 2.323236568402276e-11,
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    {
      "start": 473.32,
      "end": 478.1,
      "text": "181920这个版本之后这个Hermes的嗯",
      "chunk": 0,
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      "avg_logprob": -0.3206377421339897,
      "no_speech_prob": 2.323236568402276e-11,
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    {
      "start": 489.203,
      "end": 492.203,
      "text": "至于说其他的比如说Codex啊",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.3344200849533081,
      "no_speech_prob": 2.088957479218223e-11,
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    {
      "start": 492.203,
      "end": 495.443,
      "text": "Claw Code啊还有这个OpenClaw呢",
      "chunk": 1,
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      "avg_logprob": -0.3344200849533081,
      "no_speech_prob": 2.088957479218223e-11,
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    {
      "start": 495.443,
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      "text": "我因为他是巧接啊",
      "chunk": 1,
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    {
      "start": 497.963,
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      "text": "巧接的话他的我觉得他的反应",
      "chunk": 1,
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      "avg_logprob": -0.3344200849533081,
      "no_speech_prob": 2.088957479218223e-11,
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    {
      "start": 500.363,
      "end": 503.163,
      "text": "反应速度可能没有远胜速度那么快啊",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.3344200849533081,
      "no_speech_prob": 2.088957479218223e-11,
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    {
      "start": 503.163,
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      "text": "所以我这里面最推荐的还是用Hermes啊",
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      "no_speech_prob": 2.088957479218223e-11,
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    {
      "start": 506.043,
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      "text": "大家可以啊就是用自己喜欢的",
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      "avg_logprob": -0.3344200849533081,
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    {
      "start": 510.163,
      "end": 514.003,
      "text": "然后如果你是用这个这个Web UI啊",
      "chunk": 1,
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      "avg_logprob": -0.3344200849533081,
      "no_speech_prob": 2.088957479218223e-11,
      "compression_ratio": 1.3310104529616724
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    {
      "start": 514.003,
      "end": 516.163,
      "text": "你可以用这个这个安装啊",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.3344200849533081,
      "no_speech_prob": 2.088957479218223e-11,
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    {
      "start": 516.163,
      "end": 519.163,
      "text": "安装一下这个NUDEJS安装一下啊",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.3344200849533081,
      "no_speech_prob": 2.088957479218223e-11,
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    {
      "start": 519.163,
      "end": 521.323,
      "text": "大家注意这个node.js版本就行了",
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      "avg_logprob": -0.4192531147941214,
      "no_speech_prob": 2.260163063649845e-11,
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    {
      "start": 522.163,
      "end": 523.363,
      "text": "然后呢",
      "chunk": 1,
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      "no_speech_prob": 2.260163063649845e-11,
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    {
      "start": 523.363,
      "end": 525.463,
      "text": "是配这个模型啊",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.4192531147941214,
      "no_speech_prob": 2.260163063649845e-11,
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    {
      "start": 525.463,
      "end": 529.803,
      "text": "这个这个如果你是用这个node.js这个这个安装方案的话",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.4192531147941214,
      "no_speech_prob": 2.260163063649845e-11,
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    {
      "start": 529.803,
      "end": 530.803,
      "text": "那你就要需要",
      "chunk": 1,
      "language": "zh",
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      "no_speech_prob": 2.260163063649845e-11,
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    {
      "start": 531.203,
      "end": 535.263,
      "text": "嗯去去在这个webui或者tui里面去配置一下",
      "chunk": 1,
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      "avg_logprob": -0.4192531147941214,
      "no_speech_prob": 2.260163063649845e-11,
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    {
      "start": 535.703,
      "end": 537.603,
      "text": "嗯相关的这个模型",
      "chunk": 1,
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    {
      "start": 538.023,
      "end": 538.723,
      "text": "k啊",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.4192531147941214,
      "no_speech_prob": 2.260163063649845e-11,
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    {
      "start": 539.203,
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      "text": "呃包括这个云前天模型",
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    {
      "start": 541.403,
      "end": 542.263,
      "text": "还有这个",
      "chunk": 1,
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    {
      "start": 542.903,
      "end": 546.003,
      "text": "agent 他的这个后台agent 的这个方案啊",
      "chunk": 1,
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      "start": 546.503,
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      "text": "嗯还有这个",
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      "start": 548.203,
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      "text": "后台模型啊",
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      "start": 549.863,
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      "text": "因为他这里面模型非常多啊",
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      "start": 551.903,
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      "text": "因为你看这就有",
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    {
      "start": 555.203,
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      "text": "语音模型啊",
      "chunk": 1,
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      "avg_logprob": -0.20022965708086568,
      "no_speech_prob": 2.9096733702993482e-11,
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    {
      "start": 556.363,
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      "text": "语音前的语音模型用用于交互的啊",
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    {
      "start": 559.003,
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      "text": "就是语音交互的啊",
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      "start": 561.203,
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      "text": "模型",
      "chunk": 1,
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    {
      "start": 561.703,
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      "text": "然后这个后台模型呢",
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    {
      "start": 563.943,
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      "text": "就是他交互的话",
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      "start": 565.303,
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      "text": "你不是有一个一个思考处理的过程吗",
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    {
      "start": 569.003,
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      "text": "那么就是这个东西",
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    {
      "start": 570.003,
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      "text": "其实啊",
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    {
      "start": 570.963,
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      "text": "这个就负责语音交互啊",
      "chunk": 1,
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    {
      "start": 572.563,
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      "text": "这个就负责这个",
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      "start": 575.363,
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      "text": "文字反馈啊",
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      "start": 576.303,
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      "text": "你可以这么想反馈吧",
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    {
      "start": 577.403,
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      "text": "包括工具工具调用",
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      "no_speech_prob": 2.4941384027532543e-11,
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      "start": 579.643,
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      "text": "也不是工具工具调用",
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      "start": 582.063,
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      "text": "其实也是后台agent就投作",
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      "start": 584.063,
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      "text": "就是一个反馈吧",
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    {
      "start": 585.643,
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      "text": "问答问答反馈",
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    {
      "start": 587.263,
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      "text": "就像你正常使用模型的问答反馈",
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    {
      "start": 589.543,
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      "text": "然后包括这些设置",
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      "start": 592.763,
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      "text": "包括你可以用这个",
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    {
      "start": 594.203,
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      "text": "这个tui可以听tui",
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    {
      "start": 597.063,
      "end": 598.763,
      "text": "如重点来了",
      "chunk": 1,
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      "no_speech_prob": 2.4941384027532543e-11,
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    {
      "start": 598.763,
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      "text": "大家重点",
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    {
      "start": 599.503,
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      "text": "如果你想用本地部署",
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    {
      "start": 601.663,
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      "text": "那你就需要s2s",
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    {
      "start": 604.543,
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      "text": "这个本地部署方案",
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    {
      "start": 606.163,
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      "text": "然后桌面版的这个TYF",
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      "no_speech_prob": 3.696758524296406e-11,
      "compression_ratio": 1.2393162393162394
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    {
      "start": 610.203,
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      "text": "后台的Agent",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.29405722217025043,
      "no_speech_prob": 3.696758524296406e-11,
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    {
      "start": 614.163,
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      "text": "各样化记忆的话这个东西",
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    {
      "start": 618.163,
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      "text": "我还真没没去试",
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    {
      "start": 620.163,
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      "text": "但是我觉得这个东西其实没必要去试",
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    {
      "start": 622.163,
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      "text": "为什么呢",
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    {
      "start": 623.163,
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      "text": "因为这个东西跟OpenCloud和Hermes的话是一样的",
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    {
      "start": 627.163,
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      "text": "那么都有这些角色都有那记忆",
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      "no_speech_prob": 3.696758524296406e-11,
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    {
      "start": 631.163,
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      "text": "我认为没什么任何巨大的区别",
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    {
      "start": 635.163,
      "end": 638.863,
      "text": "巨大的区别顺手啊顺手拈来啊顺手就可以上手的事",
      "chunk": 1,
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      "avg_logprob": -0.21898574829101564,
      "no_speech_prob": 2.7184744039177033e-11,
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    {
      "start": 638.863,
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      "text": "所以你必要去具体去演示这个这个东西了啊",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.21898574829101564,
      "no_speech_prob": 2.7184744039177033e-11,
      "compression_ratio": 1.4
    },
    {
      "start": 642.463,
      "end": 644.943,
      "text": "然后注意事项大家看一下啊",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.21898574829101564,
      "no_speech_prob": 2.7184744039177033e-11,
      "compression_ratio": 1.4
    },
    {
      "start": 644.943,
      "end": 648.163,
      "text": "然后圆满圆满的开发啊",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.21898574829101564,
      "no_speech_prob": 2.7184744039177033e-11,
      "compression_ratio": 1.4
    },
    {
      "start": 648.163,
      "end": 651.183,
      "text": "圆满由nojs去做一些开发工作啊",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.21898574829101564,
      "no_speech_prob": 2.7184744039177033e-11,
      "compression_ratio": 1.4
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    {
      "start": 651.183,
      "end": 652.483,
      "text": "总体来说的话",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.21898574829101564,
      "no_speech_prob": 2.7184744039177033e-11,
      "compression_ratio": 1.4
    },
    {
      "start": 652.483,
      "end": 653.903,
      "text": "这个项目啊",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.21898574829101564,
      "no_speech_prob": 2.7184744039177033e-11,
      "compression_ratio": 1.4
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    {
      "start": 653.903,
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      "text": "我认为还是比较吸引的",
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      "compression_ratio": 1.4
    },
    {
      "start": 655.343,
      "end": 658.043,
      "text": "这种全创工的这种交互啊",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.21898574829101564,
      "no_speech_prob": 2.7184744039177033e-11,
      "compression_ratio": 1.4
    },
    {
      "start": 658.043,
      "end": 661.863,
      "text": "打断而且准确率非常好啊",
      "chunk": 1,
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      "no_speech_prob": 2.7184744039177033e-11,
      "compression_ratio": 1.4
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    {
      "start": 661.863,
      "end": 663.163,
      "text": "非常好啊",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.21898574829101564,
      "no_speech_prob": 2.7184744039177033e-11,
      "compression_ratio": 1.4
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    {
      "start": 663.163,
      "end": 664.763,
      "text": "是这样的啊",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.21898574829101564,
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      "compression_ratio": 1.4
    },
    {
      "start": 664.763,
      "end": 667.523,
      "text": "我还要补充几点啊",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.1772609493596767,
      "no_speech_prob": 2.409990609852919e-11,
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    {
      "start": 667.523,
      "end": 668.903,
      "text": "补充几点呢",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.1772609493596767,
      "no_speech_prob": 2.409990609852919e-11,
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    {
      "start": 668.903,
      "end": 672.243,
      "text": "是在于这个安装和使用的问题啊",
      "chunk": 1,
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      "avg_logprob": -0.1772609493596767,
      "no_speech_prob": 2.409990609852919e-11,
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    {
      "start": 672.243,
      "end": 673.683,
      "text": "我找一下那个问题啊",
      "chunk": 1,
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      "no_speech_prob": 2.409990609852919e-11,
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    {
      "start": 673.683,
      "end": 674.703,
      "text": "就这里吧",
      "chunk": 1,
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      "avg_logprob": -0.1772609493596767,
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    {
      "start": 674.703,
      "end": 678.083,
      "text": "就是说这个这个语音模型呢",
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    {
      "start": 678.083,
      "end": 680.403,
      "text": "它默认啊",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.1772609493596767,
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    {
      "start": 680.403,
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      "text": "你可以接阿里百列千万的这个这个API啊",
      "chunk": 1,
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      "avg_logprob": -0.1772609493596767,
      "no_speech_prob": 2.409990609852919e-11,
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    {
      "start": 686.283,
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      "text": "那么APIAPI会一定的免费额度",
      "chunk": 1,
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      "no_speech_prob": 2.409990609852919e-11,
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    {
      "start": 689.343,
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      "text": "那如果你想用本地的这个前台语音模型",
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      "no_speech_prob": 2.409990609852919e-11,
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    {
      "start": 694.383,
      "end": 695.883,
      "text": "那你只能用",
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    {
      "start": 695.883,
      "end": 697.023,
      "text": "刚才我说这个",
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      "avg_logprob": -0.30815647365329984,
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    {
      "start": 697.023,
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      "text": "s",
      "chunk": 1,
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    {
      "start": 697.903,
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      "text": "s2s啊",
      "chunk": 1,
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    {
      "start": 699.583,
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      "text": "刚才那个",
      "chunk": 1,
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    {
      "start": 700.543,
      "end": 702.383,
      "text": "我找一下那个位置啊",
      "chunk": 1,
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      "no_speech_prob": 2.1432852020941695e-11,
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    {
      "start": 703.143,
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      "text": "啊",
      "chunk": 1,
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      "avg_logprob": -0.30815647365329984,
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    {
      "start": 704.823,
      "end": 706.963,
      "text": "就这个s2s啊",
      "chunk": 1,
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      "no_speech_prob": 2.1432852020941695e-11,
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    {
      "start": 706.963,
      "end": 708.303,
      "text": "去去接这个",
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    {
      "start": 708.303,
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      "text": "这个本地的",
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    {
      "start": 709.503,
      "end": 711.063,
      "text": "云音模型啊",
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    {
      "start": 711.063,
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      "text": "本地的云音模型",
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    {
      "start": 712.463,
      "end": 714.043,
      "text": "那么这个问题就解决了",
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    {
      "start": 714.043,
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      "text": "而且这个本地的云音模型",
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    {
      "start": 715.863,
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      "text": "它又有两种方案",
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    {
      "start": 717.163,
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      "text": "两种模型可以做",
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      "text": "比如说",
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    {
      "start": 719.223,
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      "text": "你可以走",
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    {
      "start": 720.043,
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      "text": "GUF了和",
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    {
      "start": 722.183,
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      "text": "这个",
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    {
      "start": 722.743,
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      "text": "这个",
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    {
      "start": 723.703,
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      "text": "这个",
      "chunk": 1,
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    {
      "start": 724.103,
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      "text": "这个原本",
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    {
      "start": 726.343,
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      "text": "他是这个模型啊",
      "chunk": 1,
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    {
      "start": 727.603,
      "end": 728.203,
      "text": "就反正",
      "chunk": 1,
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    {
      "start": 728.603,
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      "text": "嗯",
      "chunk": 1,
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    {
      "start": 730.303,
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      "text": "就是两种也是两种方案啊",
      "chunk": 1,
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      "avg_logprob": -0.2609977994646345,
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    },
    {
      "start": 732.003,
      "end": 734.043,
      "text": "但是根据你机器的情况啊",
      "chunk": 1,
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      "avg_logprob": -0.2609977994646345,
      "no_speech_prob": 2.8453406297757056e-11,
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    {
      "start": 734.043,
      "end": 735.163,
      "text": "去做本地的部署",
      "chunk": 1,
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      "avg_logprob": -0.2609977994646345,
      "no_speech_prob": 2.8453406297757056e-11,
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    {
      "start": 735.163,
      "end": 737.603,
      "text": "这这是这个这个云模型啊",
      "chunk": 1,
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      "avg_logprob": -0.2609977994646345,
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    {
      "start": 738.243,
      "end": 740.843,
      "text": "那么这两个本地部署的模型",
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    {
      "start": 740.843,
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      "text": "包括API",
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    {
      "start": 741.603,
      "end": 743.363,
      "text": "我都全部试了一遍啊",
      "chunk": 1,
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      "start": 743.363,
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      "text": "我认为可能API的",
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    {
      "start": 746.363,
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      "text": "效果会",
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    {
      "start": 747.703,
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      "text": "够好一点",
      "chunk": 1,
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    {
      "start": 748.363,
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      "text": "但是其实本地的效果",
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    {
      "start": 750.043,
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      "text": "我觉得也非常OK啊",
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    {
      "start": 751.703,
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      "text": "就正常的",
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    {
      "start": 752.643,
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      "text": "正常的识别以及正常的反馈都非常快啊",
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    {
      "start": 756.643,
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      "text": "而且它的显存的话",
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    {
      "start": 759.643,
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      "text": "应该从两三个G到最高占用六个多G吧",
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      "no_speech_prob": 4.016761229186372e-11,
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    {
      "start": 764.643,
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      "text": "就是这么样的显存占用",
      "chunk": 1,
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      "avg_logprob": -0.18780476252237957,
      "no_speech_prob": 4.016761229186372e-11,
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    {
      "start": 766.643,
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      "text": "如果是用本地的云云前台模型的话",
      "chunk": 1,
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      "avg_logprob": -0.18780476252237957,
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    {
      "start": 769.643,
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      "text": "那如果你用的是这个这个后台模型啊",
      "chunk": 1,
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    {
      "start": 774.643,
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      "text": "就是说后台模型的话",
      "chunk": 1,
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    {
      "start": 775.643,
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      "text": "你也可以用本地部署",
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    {
      "start": 777.643,
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      "text": "因为你后台模型你可以接",
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    {
      "start": 779.643,
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      "text": "这个用open cloud去接这个后台本地的这个模型啊",
      "chunk": 1,
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      "no_speech_prob": 3.068042694898132e-11,
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    {
      "start": 784.243,
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      "text": "也可以就说",
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    {
      "start": 785.723,
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      "text": "就说如果你不用这个后台",
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    {
      "start": 789.363,
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      "text": "就是这个就就选择这个无模式啊",
      "chunk": 1,
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      "no_speech_prob": 3.068042694898132e-11,
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    {
      "start": 792.363,
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      "text": "无无无这个后台agent的话",
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    {
      "start": 794.523,
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      "text": "那么你就可以选用自己再接一个这个这个本地的这个",
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    {
      "start": 798.243,
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      "text": "比如说千万3.6那一些模型啊",
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    {
      "start": 803.183,
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      "text": "就可以了",
      "chunk": 1,
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      "avg_logprob": -0.22979084361683239,
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    {
      "start": 803.723,
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      "text": "所以这个项目",
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      "compression_ratio": 1.4303797468354431
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    {
      "start": 804.923,
      "end": 808.883,
      "text": "完全可以实现啊",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.22979084361683239,
      "no_speech_prob": 3.068042694898132e-11,
      "compression_ratio": 1.4303797468354431
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    {
      "start": 808.883,
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      "text": "本地化啊",
      "chunk": 1,
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      "avg_logprob": -0.14472481512254284,
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      "compression_ratio": 1.2780082987551866
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    {
      "start": 810.283,
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      "text": "完全本地化",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.14472481512254284,
      "no_speech_prob": 2.3978020957660107e-11,
      "compression_ratio": 1.2780082987551866
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    {
      "start": 811.403,
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      "text": "而且他的本地化",
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      "compression_ratio": 1.2780082987551866
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    {
      "start": 813.083,
      "end": 814.643,
      "text": "我感觉他的效果",
      "chunk": 1,
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      "avg_logprob": -0.14472481512254284,
      "no_speech_prob": 2.3978020957660107e-11,
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    {
      "start": 814.643,
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      "text": "其实就说能达到APR",
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    {
      "start": 817.963,
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      "text": "我就认为80%90%以上的效果",
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    {
      "start": 820.843,
      "end": 822.123,
      "text": "是没有任何问题的",
      "chunk": 1,
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      "avg_logprob": -0.14472481512254284,
      "no_speech_prob": 2.3978020957660107e-11,
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    {
      "start": 822.123,
      "end": 825.663,
      "text": "我认为这个效果还是很好的",
      "chunk": 1,
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      "avg_logprob": -0.14472481512254284,
      "no_speech_prob": 2.3978020957660107e-11,
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    {
      "start": 825.663,
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      "text": "所以对于这种",
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    {
      "start": 827.423,
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      "text": "语音全双公实施对话的agent",
      "chunk": 1,
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      "text": "一两个周的时间",
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      "text": "去对这个项目详细的了解一下",
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      "text": "那么今天就把这个项目推荐给大家",
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      "text": "还有一点我想补充的话",
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      "text": "就是说这个项目的部署难度是",
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      "text": "如果是就是说你要接API的话",
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      "text": "那么难度还不是很高",
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      "text": "欢迎大家平台随意我或者加我微啊",
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      "text": "我的联系方式都在视频下方啊",
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      "text": "感谢大家观看",
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      "text": "我们下期再见",
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