{"text": "近几个月来我在同步使用Codex和Cloud Code花了不少金金白银来顶格使用可当我回看这几千块钱的账单呢发现很多消耗其实都可以避免掉那么在Exit和小红书上我也看到很多人表示Token掉得很快额度不够用的情况像前段时间Cloud大面积封号以及4月初Codex条D Plus党额度等等相关事件都在释放一个强信号AI厂商真的有点兜不住成本了一面是资本的不断施压一面又是高额的电能算力的成本似乎慢慢的都在由终端用户来买单妥妥的当理会接盘侠了那么与其用的如此痛苦不如我们想点办法不仅能省下自己的血汗钱省时间省精力还能更从容的应对未来要长期与AI协作的现实本支影片呢主要面向非编程背景的朋友如果有哪里讲的不合适也请大佬即刻多多指导多多包涵谢过谢过首先我先花30秒简单介绍下当前主流模型的寄费模式以及什么是Token消耗寄费模式通常被拆分为两部分一部分是输入也就是你发给它的提示词文件聊天记录等项目上下文另部分是输出也就是它生成的图片啊代码文案等内容而Token呢则是AI读写文字时用的计量单位一Token约等于一到两个中文字符那么在实际使用当中呢我们与AI的每一轮对话模型都会把前面的所有历史对话重新读一遍比如第一个消息花了100Token那么到了第三十条就要花将近2万Token由此可以提炼出节省Token的三句话原则第一降低单轮对话的成本第二减少对话的总轮次第三单位时间内提升对话的频次那么围绕这三个原则我总结了四个技巧我们一个一个来说第一个技巧我们要多渠道利用AI的优势这里的多渠道指的是除了Codex或者Cloud Code还要利用好ChatGPT Gemini Notebook LM等一切免费好用的网页AI工具尤其是我们仍依赖提示词工程的大背景下我们仍要积极地利用AI在生成提示词准确性方面的优势很多人用AI Agent的时候会有一个很自然的动作就是把一堆文档啊截图网页报告全部都丢进去然后呢我们就口述一个需求给他让他自己来看自己操作但是呢我们提出的需求往往没有重点那我们可以先让其他的AI先对资料进行一个预处理比如我想做一份手机游戏市场调研的PPT简报已经准备好了公司幻动片的模板手机游戏调研报告等等若干的资料我们可以先把这些资料丢给Notebook LM当中告诉他我想基于这些材料做一份调研简报你先提炼每一页的PPT大纲在提炼成功之后这份PPT可以按照公司的模板格式将材料的内容合理映射到每一页的位置当中然后呢你再根据我的需求直接生成一段可以在Codex当中使用的提示词并整合好你设计的简报大纲一并给我OK这份就是他已经生成好的全部内容包括每页PPT的内容还有能放在Codex当中直接使用的提示词那么我们回到Codex新建对话来挂载这个项目文件让它直接生成OK我们先来看一看生成的效果可以看到它基本贴合了原模板进行排版与设计在字体上还有一些小瑕疵但是瑕不言语至少是80分的水平下面呢我们来看一看消耗量在单窗口当中它已经用掉了83%了下面看看如果直接给它提这个需求它会完成的如何呢我们还是在Codex当中来新建一个对话这里我口述了一段需求文件内容呢也依旧保持不变有意思的来了还没有完成任务时啊窗口背景信息就已经被占满那么我们来看一下幻灯片的质量对比可以看到这样的一份完全就不是模板的样式它还自创了很多排版设计每一页也没有一个明显的主题甚至它花了20多分钟生成出来的东西但其实完全没有办法在工作当中实际使用也严重消耗的大量冗余的token由此判断一套信息准确严谨的提示词对生成效果的影响其实是非常大的虽然Codex能自动压缩背景信息但在过程中消耗的token量可是真实存在的这样的搭配呢用法适用于任何的场景希望对你有所帮助第二个技巧是为AI赋予灵魂的关键一步利用agents.md为任务建设三道关卡有研究表明啊用Codex在124个PR上做对照实验同样的任务跑了两遍有一次呢有agents.md的文档做指导而一次没有使用结果呢任务的完成率几乎一样但当使用了agents.md的时候运行时间不仅下降了29%token消耗还下降了17%尤其是在多节点跨多模块的业务当中其差距会更加的突出你可以设想一下现在你是一位产品经理既要做竞品分析原型设计又要做产品调研解决分析又要做竞品分析原型设计又要做产品调研解决方案等等一堆复杂的工作再叠加上业务忙起来呢往往工作边界就会变得更加的模糊真是百胜加金这个时候啊如果你为每一个工作节点安排一个专家有解决方案专家产品原型设计专家他们都为你一个人来服务那么反映到AI当中呢就是每个工作节点来设计独立的skill来指导这位专家进行工作那么agent.md文件呢就是指挥首脑指挥这些专家更好的为你服务那操作起来呢其实也非常的简单这三道关卡用三句话就能概括首先我们用苏格拉底式提问来明确目标其次用第一性原理来构签项目最后用奥卡姆剃刀去掉非核心的数据我们先不讨论苏格拉底奥卡姆到底是谁来干嘛的我先直接带你拆解它是如何工作的我们来打开codex找到左下角的设置在个性化中设置自定义指令把下面这段内容复制进来如果你在用chat GPT的话在左侧栏项目当中创建一个新的项目右上角找到项目设置在指令框中同样粘贴这段内容那么这段话究竟有什么神奇的效果呢首先在任务目标还不清楚的时候它会引导你先利用苏格拉底式提问法让AI问你几个关键的问题这些问题包括这次任务的目标是什么输出范围到哪里为止有哪些内容不要做一来呢它可以帮助你理清工作思路二来也给它清晰的指引从而以最短路径接近任务目标接下来再利用第一性原理把任务拆到最底层包括这个任务最本质要解决的问题是什么项目的成功到底取决于哪几个核心变量比如你要做一份产品净品分析普通的AI可能一上来就会给你列一堆产品定位核心功能等等信息这些当然有用但还不够第一性原理会逼他先问这份净品分析到底是为了什么是为了老板判断要不要进入一个新的市场还是为了产品团队决定下一版功能的优先级如果是给老板看重点可能会放在市场机会商业模式或者风险那么如果是给产品团队看呢重点就有可能是产品功能的差异或者用户的使用路径了最后呢是奥卡姆剃刀院里是把非核心的数据来砍掉比如有涉及到重复的新闻无来源的观点情绪化的表达等等信息这些都是噪音毕竟不是所有的资料都值得进入上下文你给AI的信息越杂它越容易把噪音当成重点你看这三步其实就是给AI建设了三道关卡这也是为什么我说agency.md或项目自定义指令它不仅仅只是一个提示词它更像是你给AI搭建的一套工作制度第三个技巧做好上下文管理很多人用Codex的时候会一直在同一个绘画里面干活刚开始的话是没有问题的但任务一多绘画里就会堆满日志临时的方案修改记录等等很多旧需求那么你明明已经解决了A功能它还在参考A功能的旧报错这就是上下文污染所以我们要养成这样一个好习惯当一个任务结束就要做一次上下文的清理流程也非常的简单第一步任务完成之后我们先让AI总结结果在对话框中让它做一份工作交接文档就像你同事离职给你的工作交接文档是一样的它是为了下一个任务来提供工作背景与规则的参考第二步呢在Codex中是支持斜杠命令斜杠New这类开启新绘画命令它会在当前绘画窗口新开一个任务并且呢我也向它确认了其含义及分界线它不是延续上一轮任务目标与执行状态而是依旧保持长期的规则当前工作目录与权限并非完全的失忆了第三步在新绘画里我们只给必要的信息包括这个新任务的目标约束验收标准以及上个任务对这个任务的有效结论这是一种很实用的省token的方法它省的不是某一次的输入而是减少整个绘画里面的无效历史那么为了佐证我的方法有效呢我们可以回到Codex或者Cloud的token计价方案当中来看看现有的规则你会发现他们都提到了缓存输入与缓存命中的寄费模式那这又是什么意思呢缓存输入是第一次处理长提示词的前缀时系统把可复用的前缀缓存下来通常没有单独的写入费但首次输入会按照普通的input模式来寄费比如系统的角色、项目规则都可算作可复用的前缀缓存命中就是在对话当中请求的开头和缓存前缀进行匹配系统会复用之前处理过的前缀被命中的内容就会按照缓存命中来计费收费呢会比首次input费用低很多比如我们在之前设置的规则当中提到了项目两个字那么后续你在给它对话当中提到了项目这个字就会表示已经命中由此更加印证了上下文管理的重要性一旦你开始频繁的修改或不定义好前置条件系统呢就有可能找不到可复用的字段那它就会不断的采用input模式来击费那银子真是哗哗如流水啊所以我们来总结一下上下文管理的原则用一个任务一个绘画任务结束呢先总结新任务的开始我们只需要带必要的结果当然你也可以把它写进agents.md或者是项目自定义的指令里相信这样一套操作下来会有立竿见影的效果第四个技巧整理杂乱的文件并建立自动索引机制在工作当中我们要处理很多的临时任务长期下来这些文件都未存的杂乱无章有的在本地有的在邮件箱有在云盘尤其是遇到让你找一下几个月前某某项目的资料的时候那真的是很痛苦了即使是让AI来帮你找它也很难识别到哪个是你真正要的版本那么这一来二去呢就会消失去找到非常多的token那么我们就可以通过以下步骤来完成本地项目库的整理首先呢我们要选择整理的项目对象接下来打开左下角的Plan计划模式复制这段提示词其中描述了我们要先对文件进行一个全面的提建但不读取正文接下来呢让它输出文件的清单为日后AI检索该文档当中的资料提供索引目录这份索引目录是以低token消耗为核心而且生成有目录地图重要的文件摘要卡未来的检索规则整个过程不会删除修改移动文件的内容所以不必担心数据的丢失建立好这套机制之后啊以后你再整理或搜索文件它就会清晰的标注文件的位置修改时间方便你来确认是否是你要修改或者引用的材料了那么以上就是本支影片的全部内容了简单总结一下无论是在使用codex或者cloudcode在任务没有想清楚之前啊要先问问题资料太多的时候要先压缩需要调用工具时先确认计划再一步一步的执行本支影片主要想强调的是当前阶段我们与AI高效协作的模式我也相信随着AI的发展我们将越来越无感化的使用AI那么这期用到的流程模板提示词或相关链接呢我都会整理到简介的个人资源库当中如果这期视频对你有帮助可以点个赞或者订阅频道我是志川我们下期再见", "segments": [{"id": 0, "seek": 0, "start": 0.0, "end": 3.34, "text": "近几个月来我在同步使用Codex和Cloud Code", "tokens": [50365, 17463, 6336, 254, 7549, 6939, 6912, 40528, 13089, 31429, 22982, 9254, 34, 1429, 87, 12565, 32787, 15549, 50532], "temperature": 0, "avg_logprob": -0.14430437208730965, "compression_ratio": 1.191358024691358, "no_speech_prob": 2.0287278801323083e-11}, {"id": 1, "seek": 0, "start": 3.34, "end": 5.92, "text": "花了不少金金白银来顶格使用", "tokens": [50532, 20127, 2289, 1960, 15686, 19117, 19117, 13558, 165, 241, 114, 6912, 10178, 114, 30921, 22982, 9254, 50661], "temperature": 0, "avg_logprob": -0.14430437208730965, "compression_ratio": 1.191358024691358, "no_speech_prob": 2.0287278801323083e-11}, {"id": 2, "seek": 0, "start": 5.92, "end": 8.540000000000001, "text": "可当我回看这几千块钱的账单呢", "tokens": [50661, 4429, 16233, 1654, 8350, 4200, 5562, 6336, 254, 20787, 47734, 39623, 1546, 18464, 99, 47446, 6240, 50792], "temperature": 0, "avg_logprob": -0.14430437208730965, "compression_ratio": 1.191358024691358, "no_speech_prob": 2.0287278801323083e-11}, {"id": 3, "seek": 0, "start": 8.540000000000001, "end": 11.540000000000001, "text": "发现很多消耗其实都可以避免掉", "tokens": [50792, 28926, 20204, 20778, 28837, 4450, 245, 41646, 7182, 6723, 3330, 123, 2347, 235, 29327, 50942], "temperature": 0, "avg_logprob": -0.14430437208730965, "compression_ratio": 1.191358024691358, "no_speech_prob": 2.0287278801323083e-11}, {"id": 4, "seek": 0, "start": 11.540000000000001, "end": 13.64, "text": "那么在Exit和小红书上", "tokens": [50942, 35693, 3581, 11149, 270, 12565, 7322, 16853, 95, 2930, 99, 5708, 51047], "temperature": 0, "avg_logprob": -0.14430437208730965, "compression_ratio": 1.191358024691358, "no_speech_prob": 2.0287278801323083e-11}, {"id": 5, "seek": 0, "start": 13.64, "end": 16.26, "text": "我也看到很多人表示Token掉得很快", "tokens": [51047, 27761, 18032, 20778, 4035, 40053, 51, 8406, 29327, 5916, 4563, 10251, 51178], "temperature": 0, "avg_logprob": -0.14430437208730965, "compression_ratio": 1.191358024691358, "no_speech_prob": 2.0287278801323083e-11}, {"id": 6, "seek": 0, "start": 16.26, "end": 17.6, "text": "额度不够用的情况", "tokens": [51178, 12501, 251, 13127, 1960, 1787, 253, 9254, 1546, 46514, 51245], "temperature": 0, "avg_logprob": -0.14430437208730965, "compression_ratio": 1.191358024691358, "no_speech_prob": 2.0287278801323083e-11}, {"id": 7, "seek": 0, "start": 17.6, "end": 20.400000000000002, "text": "像前段时间Cloud大面积封号", "tokens": [51245, 12760, 8945, 28427, 44848, 32787, 3582, 8833, 8204, 107, 1530, 223, 26987, 51385], "temperature": 0, "avg_logprob": -0.14430437208730965, "compression_ratio": 1.191358024691358, "no_speech_prob": 2.0287278801323083e-11}, {"id": 8, "seek": 0, "start": 20.400000000000002, "end": 25.04, "text": "以及4月初Codex条D Plus党额度等等相关事件", "tokens": [51385, 40282, 19, 6939, 28727, 34, 1429, 87, 48837, 35, 7721, 2347, 248, 12501, 251, 13127, 36000, 15106, 28053, 6973, 20485, 51617], "temperature": 0, "avg_logprob": -0.14430437208730965, "compression_ratio": 1.191358024691358, "no_speech_prob": 2.0287278801323083e-11}, {"id": 9, "seek": 0, "start": 25.04, "end": 27.240000000000002, "text": "都在释放一个强信号", "tokens": [51617, 7182, 3581, 5873, 232, 12744, 20182, 5702, 118, 17665, 26987, 51727], "temperature": 0, "avg_logprob": -0.14430437208730965, "compression_ratio": 1.191358024691358, "no_speech_prob": 2.0287278801323083e-11}, {"id": 10, "seek": 2724, "start": 27.24, "end": 30.419999999999998, "text": "AI厂商真的有点兜不住成本了", "tokens": [50365, 48698, 5014, 224, 45581, 8034, 2412, 12579, 2347, 250, 1960, 21632, 11336, 8802, 2289, 50524], "temperature": 0, "avg_logprob": -0.0918194580078125, "compression_ratio": 1.2820512820512822, "no_speech_prob": 9.409695245210514e-12}, {"id": 11, "seek": 2724, "start": 30.419999999999998, "end": 32.56, "text": "一面是资本的不断施压", "tokens": [50524, 2257, 8833, 1541, 5266, 226, 8802, 1546, 1960, 4307, 255, 4307, 121, 5014, 233, 50631], "temperature": 0, "avg_logprob": -0.0918194580078125, "compression_ratio": 1.2820512820512822, "no_speech_prob": 9.409695245210514e-12}, {"id": 12, "seek": 2724, "start": 32.56, "end": 35.44, "text": "一面又是高额的电能算力的成本", "tokens": [50631, 2257, 8833, 17047, 1541, 12979, 12501, 251, 1546, 42182, 8225, 19497, 13486, 1546, 11336, 8802, 50775], "temperature": 0, "avg_logprob": -0.0918194580078125, "compression_ratio": 1.2820512820512822, "no_speech_prob": 9.409695245210514e-12}, {"id": 13, "seek": 2724, "start": 35.44, "end": 38.46, "text": "似乎慢慢的都在由终端用户来买单", "tokens": [50775, 7384, 120, 2930, 236, 41439, 1546, 7182, 3581, 23786, 10115, 230, 11957, 107, 9254, 1486, 115, 6912, 2930, 108, 47446, 50926], "temperature": 0, "avg_logprob": -0.0918194580078125, "compression_ratio": 1.2820512820512822, "no_speech_prob": 9.409695245210514e-12}, {"id": 14, "seek": 2724, "start": 38.46, "end": 40.96, "text": "妥妥的当理会接盘侠了", "tokens": [50926, 5648, 98, 5648, 98, 1546, 16233, 13876, 12949, 14468, 5419, 246, 3254, 254, 2289, 51051], "temperature": 0, "avg_logprob": -0.0918194580078125, "compression_ratio": 1.2820512820512822, "no_speech_prob": 9.409695245210514e-12}, {"id": 15, "seek": 2724, "start": 40.96, "end": 43.22, "text": "那么与其用的如此痛苦", "tokens": [51051, 35693, 940, 236, 9572, 9254, 1546, 48487, 28737, 30300, 51164], "temperature": 0, "avg_logprob": -0.0918194580078125, "compression_ratio": 1.2820512820512822, "no_speech_prob": 9.409695245210514e-12}, {"id": 16, "seek": 2724, "start": 43.22, "end": 44.54, "text": "不如我们想点办法", "tokens": [51164, 1960, 8238, 15003, 7093, 12579, 39453, 11148, 51230], "temperature": 0, "avg_logprob": -0.0918194580078125, "compression_ratio": 1.2820512820512822, "no_speech_prob": 9.409695245210514e-12}, {"id": 17, "seek": 2724, "start": 44.54, "end": 46.82, "text": "不仅能省下自己的血汗钱", "tokens": [51230, 1960, 1550, 227, 8225, 2862, 223, 4438, 17645, 1546, 44110, 12800, 245, 39623, 51344], "temperature": 0, "avg_logprob": -0.0918194580078125, "compression_ratio": 1.2820512820512822, "no_speech_prob": 9.409695245210514e-12}, {"id": 18, "seek": 2724, "start": 46.82, "end": 48.28, "text": "省时间省精力", "tokens": [51344, 2862, 223, 44848, 2862, 223, 34910, 13486, 51417], "temperature": 0, "avg_logprob": -0.0918194580078125, "compression_ratio": 1.2820512820512822, "no_speech_prob": 9.409695245210514e-12}, {"id": 19, "seek": 2724, "start": 48.28, "end": 52.8, "text": "还能更从容的应对未来要长期与AI协作的现实", "tokens": [51417, 14852, 8225, 19002, 35630, 25750, 1546, 44297, 8713, 29954, 6912, 4275, 32271, 16786, 940, 236, 48698, 5322, 237, 11914, 1546, 20204, 24726, 51643], "temperature": 0, "avg_logprob": -0.0918194580078125, "compression_ratio": 1.2820512820512822, "no_speech_prob": 9.409695245210514e-12}, {"id": 20, "seek": 2724, "start": 52.8, "end": 56.18, "text": "本支影片呢主要面向非编程背景的朋友", "tokens": [51643, 8802, 24400, 25373, 6240, 13557, 4275, 8833, 24282, 12107, 38109, 244, 29649, 46329, 50218, 1546, 19828, 51812], "temperature": 0, "avg_logprob": -0.0918194580078125, "compression_ratio": 1.2820512820512822, "no_speech_prob": 9.409695245210514e-12}, {"id": 21, "seek": 5618, "start": 56.18, "end": 57.82, "text": "如果有哪里讲的不合适", "tokens": [50365, 13119, 2412, 17028, 15759, 39255, 1546, 1960, 14245, 2215, 224, 50447], "temperature": 0, "avg_logprob": -0.10710185251118225, "compression_ratio": 1.2862068965517242, "no_speech_prob": 1.7582886535638664e-11}, {"id": 22, "seek": 5618, "start": 57.82, "end": 60.66, "text": "也请大佬即刻多多指导多多包涵", "tokens": [50447, 6404, 27908, 3582, 1593, 105, 39127, 45500, 6392, 6392, 25922, 4510, 120, 6392, 6392, 23305, 35681, 113, 50589], "temperature": 0, "avg_logprob": -0.10710185251118225, "compression_ratio": 1.2862068965517242, "no_speech_prob": 1.7582886535638664e-11}, {"id": 23, "seek": 5618, "start": 60.66, "end": 62.18, "text": "谢过谢过", "tokens": [50589, 11340, 16866, 11340, 16866, 50665], "temperature": 0, "avg_logprob": -0.10710185251118225, "compression_ratio": 1.2862068965517242, "no_speech_prob": 1.7582886535638664e-11}, {"id": 24, "seek": 5618, "start": 62.18, "end": 64.26, "text": "首先我先花30秒", "tokens": [50665, 36490, 1654, 10108, 20127, 3446, 20956, 50769], "temperature": 0, "avg_logprob": -0.10710185251118225, "compression_ratio": 1.2862068965517242, "no_speech_prob": 1.7582886535638664e-11}, {"id": 25, "seek": 5618, "start": 64.26, "end": 67.6, "text": "简单介绍下当前主流模型的寄费模式", "tokens": [50769, 11249, 222, 47446, 30312, 10115, 235, 4438, 16233, 8945, 13557, 27854, 41908, 39823, 1546, 4510, 226, 18464, 117, 41908, 27584, 50936], "temperature": 0, "avg_logprob": -0.10710185251118225, "compression_ratio": 1.2862068965517242, "no_speech_prob": 1.7582886535638664e-11}, {"id": 26, "seek": 5618, "start": 67.6, "end": 69.7, "text": "以及什么是Token消耗", "tokens": [50936, 40282, 10440, 1541, 51, 8406, 28837, 4450, 245, 51041], "temperature": 0, "avg_logprob": -0.10710185251118225, "compression_ratio": 1.2862068965517242, "no_speech_prob": 1.7582886535638664e-11}, {"id": 27, "seek": 5618, "start": 69.7, "end": 72.6, "text": "寄费模式通常被拆分为两部分", "tokens": [51041, 4510, 226, 18464, 117, 41908, 27584, 19550, 11279, 23238, 6852, 228, 6627, 13992, 36257, 32174, 51186], "temperature": 0, "avg_logprob": -0.10710185251118225, "compression_ratio": 1.2862068965517242, "no_speech_prob": 1.7582886535638664e-11}, {"id": 28, "seek": 5618, "start": 72.6, "end": 74.08, "text": "一部分是输入", "tokens": [51186, 2257, 32174, 1541, 9830, 241, 14028, 51260], "temperature": 0, "avg_logprob": -0.10710185251118225, "compression_ratio": 1.2862068965517242, "no_speech_prob": 1.7582886535638664e-11}, {"id": 29, "seek": 5618, "start": 74.08, "end": 76.28, "text": "也就是你发给它的提示词", "tokens": [51260, 6404, 5620, 2166, 28926, 23197, 45224, 20949, 25696, 5233, 235, 51370], "temperature": 0, "avg_logprob": -0.10710185251118225, "compression_ratio": 1.2862068965517242, "no_speech_prob": 1.7582886535638664e-11}, {"id": 30, "seek": 5618, "start": 76.28, "end": 78.94, "text": "文件聊天记录等项目上下文", "tokens": [51370, 17174, 20485, 40096, 6135, 34756, 7391, 243, 10187, 10178, 117, 11386, 5708, 4438, 17174, 51503], "temperature": 0, "avg_logprob": -0.10710185251118225, "compression_ratio": 1.2862068965517242, "no_speech_prob": 1.7582886535638664e-11}, {"id": 31, "seek": 5618, "start": 78.94, "end": 80.8, "text": "另部分是输出", "tokens": [51503, 22762, 32174, 1541, 9830, 241, 7781, 51596], "temperature": 0, "avg_logprob": -0.10710185251118225, "compression_ratio": 1.2862068965517242, "no_speech_prob": 1.7582886535638664e-11}, {"id": 32, "seek": 5618, "start": 80.8, "end": 83.24000000000001, "text": "也就是它生成的图片啊", "tokens": [51596, 6404, 5620, 11284, 8244, 11336, 1546, 3919, 122, 16668, 4905, 51718], "temperature": 0, "avg_logprob": -0.10710185251118225, "compression_ratio": 1.2862068965517242, "no_speech_prob": 1.7582886535638664e-11}, {"id": 33, "seek": 5618, "start": 83.24000000000001, "end": 84.56, "text": "代码文案等内容", "tokens": [51718, 19105, 23230, 223, 17174, 28899, 10187, 34742, 25750, 51784], "temperature": 0, "avg_logprob": -0.10710185251118225, "compression_ratio": 1.2862068965517242, "no_speech_prob": 1.7582886535638664e-11}, {"id": 34, "seek": 8456, "start": 84.56, "end": 89.04, "text": "而Token呢则是AI读写文字时用的计量单位", "tokens": [50365, 11070, 51, 8406, 6240, 2437, 247, 1541, 48698, 5233, 119, 5676, 247, 17174, 22381, 15729, 9254, 1546, 7422, 94, 26748, 47446, 11160, 50589], "temperature": 0, "avg_logprob": -0.11393110126468307, "compression_ratio": 1.2258064516129032, "no_speech_prob": 1.6245303713358084e-11}, {"id": 35, "seek": 8456, "start": 89.04, "end": 92.08, "text": "一Token约等于一到两个中文字符", "tokens": [50589, 2257, 51, 8406, 16853, 99, 10187, 37732, 2257, 4511, 36257, 7549, 5975, 17174, 22381, 5437, 99, 50741], "temperature": 0, "avg_logprob": -0.11393110126468307, "compression_ratio": 1.2258064516129032, "no_speech_prob": 1.6245303713358084e-11}, {"id": 36, "seek": 8456, "start": 92.08, "end": 94.32000000000001, "text": "那么在实际使用当中呢", "tokens": [50741, 35693, 3581, 24726, 8842, 227, 22982, 9254, 16233, 5975, 6240, 50853], "temperature": 0, "avg_logprob": -0.11393110126468307, "compression_ratio": 1.2258064516129032, "no_speech_prob": 1.6245303713358084e-11}, {"id": 37, "seek": 8456, "start": 94.32000000000001, "end": 95.9, "text": "我们与AI的每一轮对话", "tokens": [50853, 15003, 940, 236, 48698, 1546, 23664, 2257, 17819, 106, 8713, 21596, 50932], "temperature": 0, "avg_logprob": -0.11393110126468307, "compression_ratio": 1.2258064516129032, "no_speech_prob": 1.6245303713358084e-11}, {"id": 38, "seek": 8456, "start": 95.9, "end": 99.9, "text": "模型都会把前面的所有历史对话重新读一遍", "tokens": [50932, 41908, 39823, 7182, 12949, 16075, 8945, 8833, 1546, 39300, 5014, 228, 45399, 8713, 21596, 12624, 12560, 5233, 119, 2257, 3330, 235, 51132], "temperature": 0, "avg_logprob": -0.11393110126468307, "compression_ratio": 1.2258064516129032, "no_speech_prob": 1.6245303713358084e-11}, {"id": 39, "seek": 8456, "start": 99.9, "end": 102.84, "text": "比如第一个消息花了100Token", "tokens": [51132, 36757, 18049, 7549, 28837, 26460, 20127, 2289, 6879, 51, 8406, 51279], "temperature": 0, "avg_logprob": -0.11393110126468307, "compression_ratio": 1.2258064516129032, "no_speech_prob": 1.6245303713358084e-11}, {"id": 40, "seek": 8456, "start": 102.84, "end": 106.66, "text": "那么到了第三十条就要花将近2万Token", "tokens": [51279, 35693, 21381, 35878, 20145, 48837, 3111, 4275, 20127, 45456, 17463, 17, 23570, 51, 8406, 51470], "temperature": 0, "avg_logprob": -0.11393110126468307, "compression_ratio": 1.2258064516129032, "no_speech_prob": 1.6245303713358084e-11}, {"id": 41, "seek": 8456, "start": 106.66, "end": 110.62, "text": "由此可以提炼出节省Token的三句话原则", "tokens": [51470, 23786, 17947, 6723, 20949, 4804, 120, 7781, 45161, 2862, 223, 51, 8406, 1546, 10960, 34592, 21596, 19683, 2437, 247, 51668], "temperature": 0, "avg_logprob": -0.11393110126468307, "compression_ratio": 1.2258064516129032, "no_speech_prob": 1.6245303713358084e-11}, {"id": 42, "seek": 11062, "start": 110.62, "end": 113.5, "text": "第一降低单轮对话的成本", "tokens": [50365, 18049, 47421, 41377, 47446, 17819, 106, 8713, 21596, 1546, 11336, 8802, 50509], "temperature": 0, "avg_logprob": -0.10518889767783028, "compression_ratio": 1.240174672489083, "no_speech_prob": 1.4796820019258305e-11}, {"id": 43, "seek": 11062, "start": 113.5, "end": 116.14, "text": "第二减少对话的总轮次", "tokens": [50509, 19693, 6336, 237, 15686, 8713, 21596, 1546, 33440, 17819, 106, 9487, 50641], "temperature": 0, "avg_logprob": -0.10518889767783028, "compression_ratio": 1.240174672489083, "no_speech_prob": 1.4796820019258305e-11}, {"id": 44, "seek": 11062, "start": 116.14, "end": 119.7, "text": "第三单位时间内提升对话的频次", "tokens": [50641, 35878, 47446, 11160, 44848, 34742, 20949, 41670, 8713, 21596, 1546, 39752, 9487, 50819], "temperature": 0, "avg_logprob": -0.10518889767783028, "compression_ratio": 1.240174672489083, "no_speech_prob": 1.4796820019258305e-11}, {"id": 45, "seek": 11062, "start": 119.7, "end": 122.14, "text": "那么围绕这三个原则", "tokens": [50819, 35693, 3919, 112, 10115, 243, 5562, 10960, 7549, 19683, 2437, 247, 50941], "temperature": 0, "avg_logprob": -0.10518889767783028, "compression_ratio": 1.240174672489083, "no_speech_prob": 1.4796820019258305e-11}, {"id": 46, "seek": 11062, "start": 122.14, "end": 123.96000000000001, "text": "我总结了四个技巧", "tokens": [50941, 1654, 33440, 45641, 2289, 19425, 7549, 32502, 43605, 51032], "temperature": 0, "avg_logprob": -0.10518889767783028, "compression_ratio": 1.240174672489083, "no_speech_prob": 1.4796820019258305e-11}, {"id": 47, "seek": 11062, "start": 123.96000000000001, "end": 125.36, "text": "我们一个一个来说", "tokens": [51032, 15003, 20182, 20182, 6912, 8090, 51102], "temperature": 0, "avg_logprob": -0.10518889767783028, "compression_ratio": 1.240174672489083, "no_speech_prob": 1.4796820019258305e-11}, {"id": 48, "seek": 11062, "start": 125.36, "end": 126.5, "text": "第一个技巧", "tokens": [51102, 18049, 7549, 32502, 43605, 51159], "temperature": 0, "avg_logprob": -0.10518889767783028, "compression_ratio": 1.240174672489083, "no_speech_prob": 1.4796820019258305e-11}, {"id": 49, "seek": 11062, "start": 126.5, "end": 128.76, "text": "我们要多渠道利用AI的优势", "tokens": [51159, 15003, 4275, 6392, 9592, 254, 6025, 23700, 9254, 48698, 1546, 7384, 246, 5087, 123, 51272], "temperature": 0, "avg_logprob": -0.10518889767783028, "compression_ratio": 1.240174672489083, "no_speech_prob": 1.4796820019258305e-11}, {"id": 50, "seek": 11062, "start": 128.76, "end": 132.36, "text": "这里的多渠道指的是除了Codex或者Cloud Code", "tokens": [51272, 35102, 1546, 6392, 9592, 254, 6025, 25922, 24620, 32999, 2289, 34, 1429, 87, 31148, 32787, 15549, 51452], "temperature": 0, "avg_logprob": -0.10518889767783028, "compression_ratio": 1.240174672489083, "no_speech_prob": 1.4796820019258305e-11}, {"id": 51, "seek": 13236, "start": 132.36, "end": 138.72000000000003, "text": "还要利用好ChatGPT Gemini Notebook LM等一切免费好用的网页AI工具", "tokens": [50365, 14852, 4275, 23700, 9254, 2131, 41683, 38, 47, 51, 22894, 3812, 11633, 2939, 46529, 10187, 2257, 23632, 2347, 235, 18464, 117, 2131, 9254, 1546, 16469, 239, 10178, 113, 48698, 23323, 39806, 50683], "temperature": 0, "avg_logprob": -0.07712817992139982, "compression_ratio": 1.1850649350649352, "no_speech_prob": 1.5159849070522924e-11}, {"id": 52, "seek": 13236, "start": 138.72000000000003, "end": 142.66000000000003, "text": "尤其是我们仍依赖提示词工程的大背景下", "tokens": [50683, 1530, 97, 9572, 1541, 15003, 1550, 235, 3254, 251, 5266, 244, 20949, 25696, 5233, 235, 23323, 29649, 1546, 3582, 46329, 50218, 4438, 50880], "temperature": 0, "avg_logprob": -0.07712817992139982, "compression_ratio": 1.1850649350649352, "no_speech_prob": 1.5159849070522924e-11}, {"id": 53, "seek": 13236, "start": 142.66000000000003, "end": 148.08, "text": "我们仍要积极地利用AI在生成提示词准确性方面的优势", "tokens": [50880, 15003, 1550, 235, 4275, 8204, 107, 7360, 223, 10928, 23700, 9254, 48698, 3581, 8244, 11336, 20949, 25696, 5233, 235, 6336, 228, 38114, 106, 21686, 39604, 1546, 7384, 246, 5087, 123, 51151], "temperature": 0, "avg_logprob": -0.07712817992139982, "compression_ratio": 1.1850649350649352, "no_speech_prob": 1.5159849070522924e-11}, {"id": 54, "seek": 13236, "start": 148.08, "end": 152.48000000000002, "text": "很多人用AI Agent的时候会有一个很自然的动作", "tokens": [51151, 20778, 4035, 9254, 48698, 27174, 49873, 12949, 2412, 20182, 4563, 9722, 5823, 1546, 34961, 11914, 51371], "temperature": 0, "avg_logprob": -0.07712817992139982, "compression_ratio": 1.1850649350649352, "no_speech_prob": 1.5159849070522924e-11}, {"id": 55, "seek": 13236, "start": 152.48000000000002, "end": 156.86, "text": "就是把一堆文档啊截图网页报告全部都丢进去", "tokens": [51371, 5620, 16075, 2257, 10726, 228, 17174, 21416, 96, 4905, 1486, 103, 3919, 122, 16469, 239, 10178, 113, 49817, 16846, 38714, 7182, 940, 95, 36700, 6734, 51590], "temperature": 0, "avg_logprob": -0.07712817992139982, "compression_ratio": 1.1850649350649352, "no_speech_prob": 1.5159849070522924e-11}, {"id": 56, "seek": 13236, "start": 156.86, "end": 160.04000000000002, "text": "然后呢我们就口述一个需求给他", "tokens": [51590, 26636, 6240, 15003, 3111, 18144, 3316, 108, 20182, 32535, 32718, 23197, 5000, 51749], "temperature": 0, "avg_logprob": -0.07712817992139982, "compression_ratio": 1.1850649350649352, "no_speech_prob": 1.5159849070522924e-11}, {"id": 57, "seek": 16004, "start": 160.04, "end": 162.12, "text": "让他自己来看自己操作", "tokens": [50365, 33650, 5000, 17645, 6912, 4200, 17645, 13167, 235, 11914, 50469], "temperature": 0, "avg_logprob": -0.07298959829868415, "compression_ratio": 1.3133333333333332, "no_speech_prob": 1.538715682647407e-11}, {"id": 58, "seek": 16004, "start": 162.12, "end": 165.0, "text": "但是呢我们提出的需求往往没有重点", "tokens": [50469, 11189, 6240, 15003, 20949, 7781, 1546, 32535, 32718, 29510, 29510, 17944, 12624, 12579, 50613], "temperature": 0, "avg_logprob": -0.07298959829868415, "compression_ratio": 1.3133333333333332, "no_speech_prob": 1.538715682647407e-11}, {"id": 59, "seek": 16004, "start": 165.0, "end": 170.14, "text": "那我们可以先让其他的AI先对资料进行一个预处理", "tokens": [50613, 4184, 15003, 6723, 10108, 33650, 9572, 31309, 48698, 10108, 8713, 5266, 226, 33404, 36700, 8082, 20182, 12501, 226, 1787, 226, 13876, 50870], "temperature": 0, "avg_logprob": -0.07298959829868415, "compression_ratio": 1.3133333333333332, "no_speech_prob": 1.538715682647407e-11}, {"id": 60, "seek": 16004, "start": 170.14, "end": 174.66, "text": "比如我想做一份手机游戏市场调研的PPT简报", "tokens": [50870, 36757, 25246, 10907, 2257, 36266, 11389, 37960, 9592, 116, 1486, 237, 27261, 50255, 8897, 225, 23230, 242, 1546, 17755, 51, 11249, 222, 49817, 51096], "temperature": 0, "avg_logprob": -0.07298959829868415, "compression_ratio": 1.3133333333333332, "no_speech_prob": 1.538715682647407e-11}, {"id": 61, "seek": 16004, "start": 174.66, "end": 177.7, "text": "已经准备好了公司幻动片的模板", "tokens": [51096, 49161, 6336, 228, 1787, 229, 12621, 13545, 32981, 3509, 119, 34961, 16668, 1546, 41908, 43664, 51248], "temperature": 0, "avg_logprob": -0.07298959829868415, "compression_ratio": 1.3133333333333332, "no_speech_prob": 1.538715682647407e-11}, {"id": 62, "seek": 16004, "start": 177.7, "end": 180.73999999999998, "text": "手机游戏调研报告等等若干的资料", "tokens": [51248, 11389, 37960, 9592, 116, 1486, 237, 8897, 225, 23230, 242, 49817, 16846, 36000, 13736, 98, 26111, 1546, 5266, 226, 33404, 51400], "temperature": 0, "avg_logprob": -0.07298959829868415, "compression_ratio": 1.3133333333333332, "no_speech_prob": 1.538715682647407e-11}, {"id": 63, "seek": 16004, "start": 180.73999999999998, "end": 184.56, "text": "我们可以先把这些资料丢给Notebook LM当中", "tokens": [51400, 15003, 6723, 10108, 16075, 5562, 13824, 5266, 226, 33404, 940, 95, 23197, 49250, 2939, 46529, 16233, 5975, 51591], "temperature": 0, "avg_logprob": -0.07298959829868415, "compression_ratio": 1.3133333333333332, "no_speech_prob": 1.538715682647407e-11}, {"id": 64, "seek": 16004, "start": 184.56, "end": 188.68, "text": "告诉他我想基于这些材料做一份调研简报", "tokens": [51591, 44816, 5000, 25246, 26008, 37732, 5562, 13824, 4422, 238, 33404, 10907, 2257, 36266, 8897, 225, 23230, 242, 11249, 222, 49817, 51797], "temperature": 0, "avg_logprob": -0.07298959829868415, "compression_ratio": 1.3133333333333332, "no_speech_prob": 1.538715682647407e-11}, {"id": 65, "seek": 18868, "start": 188.68, "end": 191.48000000000002, "text": "你先提炼每一页的PPT大纲", "tokens": [50365, 2166, 10108, 20949, 4804, 120, 23664, 2257, 10178, 113, 1546, 17755, 51, 3582, 16853, 110, 50505], "temperature": 0, "avg_logprob": -0.07281827169751363, "compression_ratio": 1.2236286919831223, "no_speech_prob": 1.6069950925512444e-11}, {"id": 66, "seek": 18868, "start": 191.48000000000002, "end": 193.3, "text": "在提炼成功之后", "tokens": [50505, 3581, 20949, 4804, 120, 11336, 32311, 9574, 13547, 50596], "temperature": 0, "avg_logprob": -0.07281827169751363, "compression_ratio": 1.2236286919831223, "no_speech_prob": 1.6069950925512444e-11}, {"id": 67, "seek": 18868, "start": 193.3, "end": 196.68, "text": "这份PPT可以按照公司的模板格式", "tokens": [50596, 5562, 36266, 17755, 51, 6723, 26613, 32150, 13545, 32981, 1546, 41908, 43664, 30921, 27584, 50765], "temperature": 0, "avg_logprob": -0.07281827169751363, "compression_ratio": 1.2236286919831223, "no_speech_prob": 1.6069950925512444e-11}, {"id": 68, "seek": 18868, "start": 196.68, "end": 201.08, "text": "将材料的内容合理映射到每一页的位置当中", "tokens": [50765, 45456, 4422, 238, 33404, 1546, 34742, 25750, 14245, 13876, 1431, 254, 1530, 226, 4511, 23664, 2257, 10178, 113, 1546, 11160, 34719, 16233, 5975, 50985], "temperature": 0, "avg_logprob": -0.07281827169751363, "compression_ratio": 1.2236286919831223, "no_speech_prob": 1.6069950925512444e-11}, {"id": 69, "seek": 18868, "start": 201.08, "end": 203.64000000000001, "text": "然后呢你再根据我的需求", "tokens": [50985, 26636, 6240, 2166, 8623, 31337, 26075, 106, 14200, 32535, 32718, 51113], "temperature": 0, "avg_logprob": -0.07281827169751363, "compression_ratio": 1.2236286919831223, "no_speech_prob": 1.6069950925512444e-11}, {"id": 70, "seek": 18868, "start": 203.64000000000001, "end": 208.3, "text": "直接生成一段可以在Codex当中使用的提示词", "tokens": [51113, 43297, 8244, 11336, 2257, 28427, 6723, 3581, 34, 1429, 87, 16233, 5975, 22982, 9254, 1546, 20949, 25696, 5233, 235, 51346], "temperature": 0, "avg_logprob": -0.07281827169751363, "compression_ratio": 1.2236286919831223, "no_speech_prob": 1.6069950925512444e-11}, {"id": 71, "seek": 18868, "start": 208.3, "end": 212.08, "text": "并整合好你设计的简报大纲一并给我", "tokens": [51346, 3509, 114, 27662, 14245, 2131, 2166, 7422, 122, 7422, 94, 1546, 11249, 222, 49817, 3582, 16853, 110, 2257, 3509, 114, 49076, 51535], "temperature": 0, "avg_logprob": -0.07281827169751363, "compression_ratio": 1.2236286919831223, "no_speech_prob": 1.6069950925512444e-11}, {"id": 72, "seek": 21208, "start": 212.08, "end": 216.56, "text": "OK这份就是他已经生成好的全部内容", "tokens": [50365, 9443, 5562, 36266, 5620, 5000, 49161, 8244, 11336, 20715, 38714, 34742, 25750, 50589], "temperature": 0, "avg_logprob": -0.08572734635451744, "compression_ratio": 1.196, "no_speech_prob": 1.728710750936724e-11}, {"id": 73, "seek": 21208, "start": 216.56, "end": 218.78, "text": "包括每页PPT的内容", "tokens": [50589, 41828, 23664, 10178, 113, 17755, 51, 1546, 34742, 25750, 50700], "temperature": 0, "avg_logprob": -0.08572734635451744, "compression_ratio": 1.196, "no_speech_prob": 1.728710750936724e-11}, {"id": 74, "seek": 21208, "start": 218.78, "end": 223.10000000000002, "text": "还有能放在Codex当中直接使用的提示词", "tokens": [50700, 35091, 8225, 12744, 3581, 34, 1429, 87, 16233, 5975, 43297, 22982, 9254, 1546, 20949, 25696, 5233, 235, 50916], "temperature": 0, "avg_logprob": -0.08572734635451744, "compression_ratio": 1.196, "no_speech_prob": 1.728710750936724e-11}, {"id": 75, "seek": 21208, "start": 223.10000000000002, "end": 226.18, "text": "那么我们回到Codex新建对话", "tokens": [50916, 35693, 15003, 8350, 4511, 34, 1429, 87, 12560, 34157, 8713, 21596, 51070], "temperature": 0, "avg_logprob": -0.08572734635451744, "compression_ratio": 1.196, "no_speech_prob": 1.728710750936724e-11}, {"id": 76, "seek": 21208, "start": 226.18, "end": 228.0, "text": "来挂载这个项目文件", "tokens": [51070, 6912, 8501, 224, 17819, 121, 15368, 10178, 117, 11386, 17174, 20485, 51161], "temperature": 0, "avg_logprob": -0.08572734635451744, "compression_ratio": 1.196, "no_speech_prob": 1.728710750936724e-11}, {"id": 77, "seek": 21208, "start": 228.0, "end": 229.56, "text": "让它直接生成", "tokens": [51161, 33650, 11284, 43297, 8244, 11336, 51239], "temperature": 0, "avg_logprob": -0.08572734635451744, "compression_ratio": 1.196, "no_speech_prob": 1.728710750936724e-11}, {"id": 78, "seek": 21208, "start": 229.56, "end": 232.88000000000002, "text": "OK我们先来看一看生成的效果", "tokens": [51239, 9443, 15003, 10108, 6912, 4200, 2257, 4200, 8244, 11336, 1546, 43076, 9319, 51405], "temperature": 0, "avg_logprob": -0.08572734635451744, "compression_ratio": 1.196, "no_speech_prob": 1.728710750936724e-11}, {"id": 79, "seek": 21208, "start": 232.88000000000002, "end": 237.34, "text": "可以看到它基本贴合了原模板进行排版与设计", "tokens": [51405, 6723, 18032, 11284, 37946, 18464, 112, 14245, 2289, 19683, 41908, 43664, 36700, 8082, 44647, 42096, 940, 236, 7422, 122, 7422, 94, 51628], "temperature": 0, "avg_logprob": -0.08572734635451744, "compression_ratio": 1.196, "no_speech_prob": 1.728710750936724e-11}, {"id": 80, "seek": 23734, "start": 237.34, "end": 240.16, "text": "在字体上还有一些小瑕疵", "tokens": [50365, 3581, 22381, 29485, 5708, 14852, 32241, 13824, 7322, 37955, 243, 18140, 113, 50506], "temperature": 0, "avg_logprob": -0.0986447978664089, "compression_ratio": 1.2591362126245846, "no_speech_prob": 1.4515555424310378e-11}, {"id": 81, "seek": 23734, "start": 240.16, "end": 241.62, "text": "但是瑕不言语", "tokens": [50506, 11189, 37955, 243, 1960, 12009, 5233, 255, 50579], "temperature": 0, "avg_logprob": -0.0986447978664089, "compression_ratio": 1.2591362126245846, "no_speech_prob": 1.4515555424310378e-11}, {"id": 82, "seek": 23734, "start": 241.62, "end": 243.42000000000002, "text": "至少是80分的水平", "tokens": [50579, 20844, 15686, 1541, 4702, 6627, 1546, 15590, 16716, 50669], "temperature": 0, "avg_logprob": -0.0986447978664089, "compression_ratio": 1.2591362126245846, "no_speech_prob": 1.4515555424310378e-11}, {"id": 83, "seek": 23734, "start": 243.42000000000002, "end": 245.8, "text": "下面呢我们来看一看消耗量", "tokens": [50669, 47150, 6240, 15003, 6912, 4200, 2257, 4200, 28837, 4450, 245, 26748, 50788], "temperature": 0, "avg_logprob": -0.0986447978664089, "compression_ratio": 1.2591362126245846, "no_speech_prob": 1.4515555424310378e-11}, {"id": 84, "seek": 23734, "start": 245.8, "end": 247.6, "text": "在单窗口当中", "tokens": [50788, 3581, 47446, 30771, 245, 18144, 16233, 5975, 50878], "temperature": 0, "avg_logprob": -0.0986447978664089, "compression_ratio": 1.2591362126245846, "no_speech_prob": 1.4515555424310378e-11}, {"id": 85, "seek": 23734, "start": 247.6, "end": 249.86, "text": "它已经用掉了83%了", "tokens": [50878, 11284, 49161, 9254, 29327, 2289, 31849, 4, 2289, 50991], "temperature": 0, "avg_logprob": -0.0986447978664089, "compression_ratio": 1.2591362126245846, "no_speech_prob": 1.4515555424310378e-11}, {"id": 86, "seek": 23734, "start": 249.86, "end": 253.44, "text": "下面看看如果直接给它提这个需求", "tokens": [50991, 47150, 22884, 13119, 43297, 23197, 11284, 20949, 15368, 32535, 32718, 51170], "temperature": 0, "avg_logprob": -0.0986447978664089, "compression_ratio": 1.2591362126245846, "no_speech_prob": 1.4515555424310378e-11}, {"id": 87, "seek": 23734, "start": 253.44, "end": 254.7, "text": "它会完成的如何呢", "tokens": [51170, 11284, 12949, 41509, 1546, 43526, 6240, 51233], "temperature": 0, "avg_logprob": -0.0986447978664089, "compression_ratio": 1.2591362126245846, "no_speech_prob": 1.4515555424310378e-11}, {"id": 88, "seek": 23734, "start": 254.7, "end": 257.9, "text": "我们还是在Codex当中来新建一个对话", "tokens": [51233, 15003, 45726, 3581, 34, 1429, 87, 16233, 5975, 6912, 12560, 34157, 20182, 8713, 21596, 51393], "temperature": 0, "avg_logprob": -0.0986447978664089, "compression_ratio": 1.2591362126245846, "no_speech_prob": 1.4515555424310378e-11}, {"id": 89, "seek": 23734, "start": 257.9, "end": 260.18, "text": "这里我口述了一段需求", "tokens": [51393, 35102, 1654, 18144, 3316, 108, 2289, 2257, 28427, 32535, 32718, 51507], "temperature": 0, "avg_logprob": -0.0986447978664089, "compression_ratio": 1.2591362126245846, "no_speech_prob": 1.4515555424310378e-11}, {"id": 90, "seek": 23734, "start": 260.18, "end": 262.54, "text": "文件内容呢也依旧保持不变", "tokens": [51507, 17174, 20485, 34742, 25750, 6240, 6404, 3254, 251, 4479, 100, 24302, 17694, 1960, 2129, 246, 51625], "temperature": 0, "avg_logprob": -0.0986447978664089, "compression_ratio": 1.2591362126245846, "no_speech_prob": 1.4515555424310378e-11}, {"id": 91, "seek": 23734, "start": 262.54, "end": 264.08, "text": "有意思的来了", "tokens": [51625, 2412, 16697, 1546, 34912, 51702], "temperature": 0, "avg_logprob": -0.0986447978664089, "compression_ratio": 1.2591362126245846, "no_speech_prob": 1.4515555424310378e-11}, {"id": 92, "seek": 23734, "start": 264.08, "end": 266.36, "text": "还没有完成任务时啊", "tokens": [51702, 14852, 17944, 41509, 26443, 5087, 94, 15729, 4905, 51816], "temperature": 0, "avg_logprob": -0.0986447978664089, "compression_ratio": 1.2591362126245846, "no_speech_prob": 1.4515555424310378e-11}, {"id": 93, "seek": 26636, "start": 266.36, "end": 269.44, "text": "窗口背景信息就已经被占满", "tokens": [50365, 30771, 245, 18144, 46329, 50218, 17665, 26460, 3111, 49161, 23238, 5322, 254, 15868, 94, 50519], "temperature": 0, "avg_logprob": -0.13157586909052152, "compression_ratio": 1.2137931034482758, "no_speech_prob": 1.4448407748002268e-11}, {"id": 94, "seek": 26636, "start": 269.44, "end": 272.96000000000004, "text": "那么我们来看一下幻灯片的质量对比", "tokens": [50519, 35693, 15003, 6912, 28324, 3509, 119, 13290, 107, 16668, 1546, 18464, 101, 26748, 8713, 11706, 50695], "temperature": 0, "avg_logprob": -0.13157586909052152, "compression_ratio": 1.2137931034482758, "no_speech_prob": 1.4448407748002268e-11}, {"id": 95, "seek": 26636, "start": 272.96000000000004, "end": 277.02000000000004, "text": "可以看到这样的一份完全就不是模板的样式", "tokens": [50695, 6723, 18032, 21209, 1546, 2257, 36266, 37100, 3111, 7296, 41908, 43664, 1546, 14496, 27584, 50898], "temperature": 0, "avg_logprob": -0.13157586909052152, "compression_ratio": 1.2137931034482758, "no_speech_prob": 1.4448407748002268e-11}, {"id": 96, "seek": 26636, "start": 277.02000000000004, "end": 279.32, "text": "它还自创了很多排版设计", "tokens": [50898, 11284, 14852, 9722, 2437, 249, 2289, 20778, 44647, 42096, 7422, 122, 7422, 94, 51013], "temperature": 0, "avg_logprob": -0.13157586909052152, "compression_ratio": 1.2137931034482758, "no_speech_prob": 1.4448407748002268e-11}, {"id": 97, "seek": 26636, "start": 279.32, "end": 282.40000000000003, "text": "每一页也没有一个明显的主题", "tokens": [51013, 23664, 2257, 10178, 113, 6404, 17944, 20182, 11100, 1431, 122, 1546, 13557, 30716, 51167], "temperature": 0, "avg_logprob": -0.13157586909052152, "compression_ratio": 1.2137931034482758, "no_speech_prob": 1.4448407748002268e-11}, {"id": 98, "seek": 26636, "start": 282.40000000000003, "end": 285.72, "text": "甚至它花了20多分钟生成出来的东西", "tokens": [51167, 17556, 20844, 11284, 20127, 2289, 2009, 6392, 6627, 50064, 8244, 11336, 44561, 1546, 38409, 16220, 51333], "temperature": 0, "avg_logprob": -0.13157586909052152, "compression_ratio": 1.2137931034482758, "no_speech_prob": 1.4448407748002268e-11}, {"id": 99, "seek": 26636, "start": 285.72, "end": 290.12, "text": "但其实完全没有办法在工作当中实际使用", "tokens": [51333, 8395, 41646, 37100, 17944, 39453, 11148, 3581, 41315, 16233, 5975, 24726, 8842, 227, 22982, 9254, 51553], "temperature": 0, "avg_logprob": -0.13157586909052152, "compression_ratio": 1.2137931034482758, "no_speech_prob": 1.4448407748002268e-11}, {"id": 100, "seek": 26636, "start": 290.12, "end": 293.32, "text": "也严重消耗的大量冗余的token", "tokens": [51553, 6404, 940, 98, 12624, 28837, 4450, 245, 1546, 3582, 26748, 5676, 245, 1593, 247, 1546, 83, 8406, 51713], "temperature": 0, "avg_logprob": -0.13157586909052152, "compression_ratio": 1.2137931034482758, "no_speech_prob": 1.4448407748002268e-11}, {"id": 101, "seek": 29332, "start": 293.32, "end": 297.04, "text": "由此判断一套信息准确严谨的提示词", "tokens": [50365, 23786, 17947, 2437, 97, 4307, 255, 2257, 1881, 245, 17665, 26460, 6336, 228, 38114, 106, 940, 98, 8897, 101, 1546, 20949, 25696, 5233, 235, 50551], "temperature": 0, "avg_logprob": -0.1729007374156605, "compression_ratio": 1.1082251082251082, "no_speech_prob": 1.6867221161454005e-11}, {"id": 102, "seek": 29332, "start": 297.04, "end": 299.92, "text": "对生成效果的影响其实是非常大的", "tokens": [50551, 8713, 8244, 11336, 43076, 9319, 1546, 16820, 3858, 235, 41646, 1541, 14392, 39156, 50695], "temperature": 0, "avg_logprob": -0.1729007374156605, "compression_ratio": 1.1082251082251082, "no_speech_prob": 1.6867221161454005e-11}, {"id": 103, "seek": 29332, "start": 299.92, "end": 303.92, "text": "虽然Codex能自动压缩背景信息", "tokens": [50695, 12026, 121, 5823, 34, 1429, 87, 8225, 9722, 34961, 5014, 233, 38109, 102, 46329, 50218, 17665, 26460, 50895], "temperature": 0, "avg_logprob": -0.1729007374156605, "compression_ratio": 1.1082251082251082, "no_speech_prob": 1.6867221161454005e-11}, {"id": 104, "seek": 29332, "start": 303.92, "end": 307.36, "text": "但在过程中消耗的token量可是真实存在的", "tokens": [50895, 8395, 3581, 16866, 29649, 5975, 28837, 4450, 245, 1546, 83, 8406, 26748, 23359, 6303, 24726, 39781, 3581, 1546, 51067], "temperature": 0, "avg_logprob": -0.1729007374156605, "compression_ratio": 1.1082251082251082, "no_speech_prob": 1.6867221161454005e-11}, {"id": 105, "seek": 29332, "start": 307.36, "end": 310.4, "text": "这样的搭配呢用法适用于任何的场景", "tokens": [51067, 21209, 1546, 22220, 255, 38846, 6240, 9254, 11148, 2215, 224, 9254, 37732, 26443, 11906, 1546, 50255, 50218, 51219], "temperature": 0, "avg_logprob": -0.1729007374156605, "compression_ratio": 1.1082251082251082, "no_speech_prob": 1.6867221161454005e-11}, {"id": 106, "seek": 29332, "start": 310.4, "end": 311.92, "text": "希望对你有所帮助", "tokens": [51219, 29955, 8713, 43320, 5966, 4845, 106, 37618, 51295], "temperature": 0, "avg_logprob": -0.1729007374156605, "compression_ratio": 1.1082251082251082, "no_speech_prob": 1.6867221161454005e-11}, {"id": 107, "seek": 31192, "start": 311.92, "end": 316.52000000000004, "text": "第二个技巧是为AI赋予灵魂的关键一步", "tokens": [50365, 19693, 7549, 32502, 43605, 1541, 13992, 48698, 5266, 233, 1369, 230, 13290, 113, 20149, 224, 1546, 28053, 23049, 106, 2257, 31429, 50595], "temperature": 0, "avg_logprob": -0.16448081456697905, "compression_ratio": 1.0285714285714285, "no_speech_prob": 1.642143365732096e-11}, {"id": 108, "seek": 31192, "start": 316.52000000000004, "end": 320.52000000000004, "text": "利用agents.md为任务建设三道关卡", "tokens": [50595, 23700, 9254, 559, 791, 13, 76, 67, 13992, 26443, 5087, 94, 34157, 7422, 122, 10960, 6025, 28053, 32681, 50795], "temperature": 0, "avg_logprob": -0.16448081456697905, "compression_ratio": 1.0285714285714285, "no_speech_prob": 1.642143365732096e-11}, {"id": 109, "seek": 31192, "start": 320.52000000000004, "end": 322.52000000000004, "text": "有研究表明啊", "tokens": [50795, 2412, 23230, 242, 44704, 17571, 11100, 4905, 50895], "temperature": 0, "avg_logprob": -0.16448081456697905, "compression_ratio": 1.0285714285714285, "no_speech_prob": 1.642143365732096e-11}, {"id": 110, "seek": 31192, "start": 322.52000000000004, "end": 326.64000000000004, "text": "用Codex在124个PR上做对照实验", "tokens": [50895, 9254, 34, 1429, 87, 3581, 4762, 19, 7549, 15958, 5708, 10907, 8713, 32150, 24726, 49657, 234, 51101], "temperature": 0, "avg_logprob": -0.16448081456697905, "compression_ratio": 1.0285714285714285, "no_speech_prob": 1.642143365732096e-11}, {"id": 111, "seek": 31192, "start": 326.64000000000004, "end": 328.64, "text": "同样的任务跑了两遍", "tokens": [51101, 13089, 14496, 1546, 26443, 5087, 94, 32585, 2289, 36257, 3330, 235, 51201], "temperature": 0, "avg_logprob": -0.16448081456697905, "compression_ratio": 1.0285714285714285, "no_speech_prob": 1.642143365732096e-11}, {"id": 112, "seek": 31192, "start": 328.64, "end": 331.64, "text": "有一次呢有agents.md的文档做指导", "tokens": [51201, 2412, 27505, 6240, 2412, 559, 791, 13, 76, 67, 1546, 17174, 21416, 96, 10907, 25922, 4510, 120, 51351], "temperature": 0, "avg_logprob": -0.16448081456697905, "compression_ratio": 1.0285714285714285, "no_speech_prob": 1.642143365732096e-11}, {"id": 113, "seek": 33164, "start": 331.64, "end": 333.64, "text": "而一次没有使用", "tokens": [50365, 11070, 27505, 17944, 22982, 9254, 50465], "temperature": 0, "avg_logprob": -0.20294105089627779, "compression_ratio": 1.2007042253521127, "no_speech_prob": 1.4184947487450028e-11}, {"id": 114, "seek": 33164, "start": 333.64, "end": 336.64, "text": "结果呢任务的完成率几乎一样", "tokens": [50465, 45641, 9319, 6240, 26443, 5087, 94, 1546, 41509, 44866, 6336, 254, 2930, 236, 2257, 14496, 50615], "temperature": 0, "avg_logprob": -0.20294105089627779, "compression_ratio": 1.2007042253521127, "no_speech_prob": 1.4184947487450028e-11}, {"id": 115, "seek": 33164, "start": 336.64, "end": 338.64, "text": "但当使用了agents.md的时候", "tokens": [50615, 8395, 16233, 22982, 9254, 2289, 559, 791, 13, 76, 67, 49873, 50715], "temperature": 0, "avg_logprob": -0.20294105089627779, "compression_ratio": 1.2007042253521127, "no_speech_prob": 1.4184947487450028e-11}, {"id": 116, "seek": 33164, "start": 338.64, "end": 340.64, "text": "运行时间不仅下降了29%", "tokens": [50715, 3316, 238, 8082, 44848, 1960, 1550, 227, 4438, 47421, 2289, 11871, 4, 50815], "temperature": 0, "avg_logprob": -0.20294105089627779, "compression_ratio": 1.2007042253521127, "no_speech_prob": 1.4184947487450028e-11}, {"id": 117, "seek": 33164, "start": 340.64, "end": 342.64, "text": "token消耗还下降了17%", "tokens": [50815, 83, 8406, 28837, 4450, 245, 14852, 4438, 47421, 2289, 7773, 4, 50915], "temperature": 0, "avg_logprob": -0.20294105089627779, "compression_ratio": 1.2007042253521127, "no_speech_prob": 1.4184947487450028e-11}, {"id": 118, "seek": 33164, "start": 342.64, "end": 346.24, "text": "尤其是在多节点跨多模块的业务当中", "tokens": [50915, 1530, 97, 9572, 1541, 3581, 6392, 45161, 12579, 6563, 101, 6392, 41908, 47734, 1546, 940, 248, 5087, 94, 16233, 5975, 51095], "temperature": 0, "avg_logprob": -0.20294105089627779, "compression_ratio": 1.2007042253521127, "no_speech_prob": 1.4184947487450028e-11}, {"id": 119, "seek": 33164, "start": 346.24, "end": 348.24, "text": "其差距会更加的突出", "tokens": [51095, 9572, 21679, 6563, 251, 12949, 19002, 9990, 1546, 40859, 7781, 51195], "temperature": 0, "avg_logprob": -0.20294105089627779, "compression_ratio": 1.2007042253521127, "no_speech_prob": 1.4184947487450028e-11}, {"id": 120, "seek": 33164, "start": 348.24, "end": 350.24, "text": "你可以设想一下", "tokens": [51195, 42766, 7422, 122, 7093, 8861, 51295], "temperature": 0, "avg_logprob": -0.20294105089627779, "compression_ratio": 1.2007042253521127, "no_speech_prob": 1.4184947487450028e-11}, {"id": 121, "seek": 33164, "start": 350.24, "end": 352.24, "text": "现在你是一位产品经理", "tokens": [51295, 25040, 32526, 2257, 11160, 1369, 100, 30246, 30276, 13876, 51395], "temperature": 0, "avg_logprob": -0.20294105089627779, "compression_ratio": 1.2007042253521127, "no_speech_prob": 1.4184947487450028e-11}, {"id": 122, "seek": 33164, "start": 352.24, "end": 354.24, "text": "既要做竞品分析", "tokens": [51395, 4479, 95, 4275, 10907, 11957, 252, 30246, 6627, 7360, 238, 51495], "temperature": 0, "avg_logprob": -0.20294105089627779, "compression_ratio": 1.2007042253521127, "no_speech_prob": 1.4184947487450028e-11}, {"id": 123, "seek": 33164, "start": 354.24, "end": 355.24, "text": "原型设计", "tokens": [51495, 19683, 39823, 7422, 122, 7422, 94, 51545], "temperature": 0, "avg_logprob": -0.20294105089627779, "compression_ratio": 1.2007042253521127, "no_speech_prob": 1.4184947487450028e-11}, {"id": 124, "seek": 33164, "start": 355.24, "end": 357.24, "text": "又要做产品调研解决分析", "tokens": [51545, 17047, 4275, 10907, 1369, 100, 30246, 8897, 225, 23230, 242, 17278, 5676, 111, 6627, 7360, 238, 51645], "temperature": 0, "avg_logprob": -0.20294105089627779, "compression_ratio": 1.2007042253521127, "no_speech_prob": 1.4184947487450028e-11}, {"id": 125, "seek": 35724, "start": 357.24, "end": 358.24, "text": "又要做竞品分析", "tokens": [50365, 17047, 4275, 10907, 11957, 252, 30246, 6627, 7360, 238, 50415], "temperature": 0, "avg_logprob": -0.08613356084771495, "compression_ratio": 1.38013698630137, "no_speech_prob": 1.3271108170731516e-11}, {"id": 126, "seek": 35724, "start": 358.24, "end": 359.24, "text": "原型设计", "tokens": [50415, 19683, 39823, 7422, 122, 7422, 94, 50465], "temperature": 0, "avg_logprob": -0.08613356084771495, "compression_ratio": 1.38013698630137, "no_speech_prob": 1.3271108170731516e-11}, {"id": 127, "seek": 35724, "start": 359.24, "end": 362.24, "text": "又要做产品调研解决方案等等", "tokens": [50465, 17047, 4275, 10907, 1369, 100, 30246, 8897, 225, 23230, 242, 17278, 5676, 111, 9249, 28899, 36000, 50615], "temperature": 0, "avg_logprob": -0.08613356084771495, "compression_ratio": 1.38013698630137, "no_speech_prob": 1.3271108170731516e-11}, {"id": 128, "seek": 35724, "start": 362.24, "end": 363.24, "text": "一堆复杂的工作", "tokens": [50615, 2257, 10726, 228, 1787, 235, 4422, 224, 1546, 41315, 50665], "temperature": 0, "avg_logprob": -0.08613356084771495, "compression_ratio": 1.38013698630137, "no_speech_prob": 1.3271108170731516e-11}, {"id": 129, "seek": 35724, "start": 363.24, "end": 365.24, "text": "再叠加上业务忙起来呢", "tokens": [50665, 8623, 2129, 254, 9990, 5708, 940, 248, 5087, 94, 48839, 9147, 6912, 6240, 50765], "temperature": 0, "avg_logprob": -0.08613356084771495, "compression_ratio": 1.38013698630137, "no_speech_prob": 1.3271108170731516e-11}, {"id": 130, "seek": 35724, "start": 365.24, "end": 368.24, "text": "往往工作边界就会变得更加的模糊", "tokens": [50765, 29510, 29510, 41315, 40503, 21185, 3111, 12949, 2129, 246, 5916, 19002, 9990, 1546, 41908, 15239, 232, 50915], "temperature": 0, "avg_logprob": -0.08613356084771495, "compression_ratio": 1.38013698630137, "no_speech_prob": 1.3271108170731516e-11}, {"id": 131, "seek": 35724, "start": 368.24, "end": 370.24, "text": "真是百胜加金", "tokens": [50915, 6303, 1541, 31906, 19095, 250, 9990, 19117, 51015], "temperature": 0, "avg_logprob": -0.08613356084771495, "compression_ratio": 1.38013698630137, "no_speech_prob": 1.3271108170731516e-11}, {"id": 132, "seek": 35724, "start": 370.24, "end": 371.24, "text": "这个时候啊", "tokens": [51015, 15368, 29111, 4905, 51065], "temperature": 0, "avg_logprob": -0.08613356084771495, "compression_ratio": 1.38013698630137, "no_speech_prob": 1.3271108170731516e-11}, {"id": 133, "seek": 35724, "start": 371.24, "end": 373.24, "text": "如果你为每一个工作节点", "tokens": [51065, 45669, 13992, 23664, 20182, 41315, 45161, 12579, 51165], "temperature": 0, "avg_logprob": -0.08613356084771495, "compression_ratio": 1.38013698630137, "no_speech_prob": 1.3271108170731516e-11}, {"id": 134, "seek": 35724, "start": 373.24, "end": 375.24, "text": "安排一个专家", "tokens": [51165, 16206, 44647, 20182, 940, 241, 5155, 51265], "temperature": 0, "avg_logprob": -0.08613356084771495, "compression_ratio": 1.38013698630137, "no_speech_prob": 1.3271108170731516e-11}, {"id": 135, "seek": 35724, "start": 375.24, "end": 376.24, "text": "有解决方案专家", "tokens": [51265, 2412, 17278, 5676, 111, 9249, 28899, 940, 241, 5155, 51315], "temperature": 0, "avg_logprob": -0.08613356084771495, "compression_ratio": 1.38013698630137, "no_speech_prob": 1.3271108170731516e-11}, {"id": 136, "seek": 35724, "start": 376.24, "end": 378.24, "text": "产品原型设计专家", "tokens": [51315, 1369, 100, 30246, 19683, 39823, 7422, 122, 7422, 94, 940, 241, 5155, 51415], "temperature": 0, "avg_logprob": -0.08613356084771495, "compression_ratio": 1.38013698630137, "no_speech_prob": 1.3271108170731516e-11}, {"id": 137, "seek": 35724, "start": 378.24, "end": 380.24, "text": "他们都为你一个人来服务", "tokens": [51415, 47911, 7182, 13992, 2166, 20182, 4035, 6912, 27408, 5087, 94, 51515], "temperature": 0, "avg_logprob": -0.08613356084771495, "compression_ratio": 1.38013698630137, "no_speech_prob": 1.3271108170731516e-11}, {"id": 138, "seek": 35724, "start": 380.24, "end": 382.24, "text": "那么反映到AI当中呢", "tokens": [51515, 35693, 22138, 1431, 254, 4511, 48698, 16233, 5975, 6240, 51615], "temperature": 0, "avg_logprob": -0.08613356084771495, "compression_ratio": 1.38013698630137, "no_speech_prob": 1.3271108170731516e-11}, {"id": 139, "seek": 35724, "start": 382.24, "end": 383.24, "text": "就是每个工作节点", "tokens": [51615, 5620, 23664, 7549, 41315, 45161, 12579, 51665], "temperature": 0, "avg_logprob": -0.08613356084771495, "compression_ratio": 1.38013698630137, "no_speech_prob": 1.3271108170731516e-11}, {"id": 140, "seek": 35724, "start": 383.24, "end": 385.24, "text": "来设计独立的skill", "tokens": [51665, 6912, 7422, 122, 7422, 94, 18637, 105, 24409, 1546, 5161, 373, 51765], "temperature": 0, "avg_logprob": -0.08613356084771495, "compression_ratio": 1.38013698630137, "no_speech_prob": 1.3271108170731516e-11}, {"id": 141, "seek": 38524, "start": 385.24, "end": 388.24, "text": "来指导这位专家进行工作", "tokens": [50365, 6912, 25922, 4510, 120, 5562, 11160, 940, 241, 5155, 36700, 8082, 41315, 50515], "temperature": 0, "avg_logprob": -0.048650616093685754, "compression_ratio": 1.2072727272727273, "no_speech_prob": 2.07931328405353e-11}, {"id": 142, "seek": 38524, "start": 388.24, "end": 390.24, "text": "那么agent.md文件呢", "tokens": [50515, 35693, 559, 317, 13, 76, 67, 17174, 20485, 6240, 50615], "temperature": 0, "avg_logprob": -0.048650616093685754, "compression_ratio": 1.2072727272727273, "no_speech_prob": 2.07931328405353e-11}, {"id": 143, "seek": 38524, "start": 390.24, "end": 392.24, "text": "就是指挥首脑", "tokens": [50615, 5620, 25922, 8501, 98, 25444, 27067, 239, 50715], "temperature": 0, "avg_logprob": -0.048650616093685754, "compression_ratio": 1.2072727272727273, "no_speech_prob": 2.07931328405353e-11}, {"id": 144, "seek": 38524, "start": 392.24, "end": 395.24, "text": "指挥这些专家更好的为你服务", "tokens": [50715, 25922, 8501, 98, 5562, 13824, 940, 241, 5155, 19002, 20715, 13992, 2166, 27408, 5087, 94, 50865], "temperature": 0, "avg_logprob": -0.048650616093685754, "compression_ratio": 1.2072727272727273, "no_speech_prob": 2.07931328405353e-11}, {"id": 145, "seek": 38524, "start": 395.24, "end": 396.24, "text": "那操作起来呢", "tokens": [50865, 4184, 13167, 235, 11914, 9147, 6912, 6240, 50915], "temperature": 0, "avg_logprob": -0.048650616093685754, "compression_ratio": 1.2072727272727273, "no_speech_prob": 2.07931328405353e-11}, {"id": 146, "seek": 38524, "start": 396.24, "end": 398.24, "text": "其实也非常的简单", "tokens": [50915, 41646, 6404, 48263, 11249, 222, 47446, 51015], "temperature": 0, "avg_logprob": -0.048650616093685754, "compression_ratio": 1.2072727272727273, "no_speech_prob": 2.07931328405353e-11}, {"id": 147, "seek": 38524, "start": 398.24, "end": 399.24, "text": "这三道关卡", "tokens": [51015, 5562, 10960, 6025, 28053, 32681, 51065], "temperature": 0, "avg_logprob": -0.048650616093685754, "compression_ratio": 1.2072727272727273, "no_speech_prob": 2.07931328405353e-11}, {"id": 148, "seek": 38524, "start": 399.24, "end": 401.24, "text": "用三句话就能概括", "tokens": [51065, 9254, 10960, 34592, 21596, 3111, 8225, 26181, 40322, 51165], "temperature": 0, "avg_logprob": -0.048650616093685754, "compression_ratio": 1.2072727272727273, "no_speech_prob": 2.07931328405353e-11}, {"id": 149, "seek": 38524, "start": 401.24, "end": 402.24, "text": "首先", "tokens": [51165, 36490, 51215], "temperature": 0, "avg_logprob": -0.048650616093685754, "compression_ratio": 1.2072727272727273, "no_speech_prob": 2.07931328405353e-11}, {"id": 150, "seek": 38524, "start": 402.24, "end": 404.24, "text": "我们用苏格拉底式提问", "tokens": [51215, 15003, 9254, 13736, 237, 30921, 29717, 22816, 27584, 20949, 22064, 51315], "temperature": 0, "avg_logprob": -0.048650616093685754, "compression_ratio": 1.2072727272727273, "no_speech_prob": 2.07931328405353e-11}, {"id": 151, "seek": 38524, "start": 404.24, "end": 406.24, "text": "来明确目标", "tokens": [51315, 6912, 11100, 38114, 106, 11386, 162, 3921, 51415], "temperature": 0, "avg_logprob": -0.048650616093685754, "compression_ratio": 1.2072727272727273, "no_speech_prob": 2.07931328405353e-11}, {"id": 152, "seek": 38524, "start": 406.24, "end": 409.24, "text": "其次用第一性原理来构签项目", "tokens": [51415, 9572, 9487, 9254, 18049, 21686, 19683, 13876, 6912, 7360, 226, 7973, 122, 10178, 117, 11386, 51565], "temperature": 0, "avg_logprob": -0.048650616093685754, "compression_ratio": 1.2072727272727273, "no_speech_prob": 2.07931328405353e-11}, {"id": 153, "seek": 38524, "start": 409.24, "end": 413.24, "text": "最后用奥卡姆剃刀去掉非核心的数据", "tokens": [51565, 8661, 13547, 9254, 1881, 98, 32681, 7795, 228, 5935, 225, 2437, 222, 6734, 29327, 12107, 8987, 116, 7945, 1546, 33188, 26075, 106, 51765], "temperature": 0, "avg_logprob": -0.048650616093685754, "compression_ratio": 1.2072727272727273, "no_speech_prob": 2.07931328405353e-11}, {"id": 154, "seek": 41324, "start": 413.24, "end": 416.24, "text": "我们先不讨论苏格拉底奥卡姆到底是谁", "tokens": [50365, 15003, 10108, 1960, 7422, 101, 7422, 118, 13736, 237, 30921, 29717, 22816, 1881, 98, 32681, 7795, 228, 33883, 1541, 33556, 50515], "temperature": 0, "avg_logprob": -0.09517384957576143, "compression_ratio": 1.212686567164179, "no_speech_prob": 1.833415190499732e-11}, {"id": 155, "seek": 41324, "start": 416.24, "end": 417.24, "text": "来干嘛的", "tokens": [50515, 6912, 26111, 20722, 1546, 50565], "temperature": 0, "avg_logprob": -0.09517384957576143, "compression_ratio": 1.212686567164179, "no_speech_prob": 1.833415190499732e-11}, {"id": 156, "seek": 41324, "start": 417.24, "end": 420.24, "text": "我先直接带你拆解它是如何工作的", "tokens": [50565, 1654, 10108, 43297, 4845, 99, 2166, 6852, 228, 17278, 11284, 1541, 43526, 41315, 1546, 50715], "temperature": 0, "avg_logprob": -0.09517384957576143, "compression_ratio": 1.212686567164179, "no_speech_prob": 1.833415190499732e-11}, {"id": 157, "seek": 41324, "start": 420.24, "end": 422.24, "text": "我们来打开codex", "tokens": [50715, 15003, 6912, 12467, 18937, 22332, 87, 50815], "temperature": 0, "avg_logprob": -0.09517384957576143, "compression_ratio": 1.212686567164179, "no_speech_prob": 1.833415190499732e-11}, {"id": 158, "seek": 41324, "start": 422.24, "end": 424.24, "text": "找到左下角的设置", "tokens": [50815, 25085, 4511, 21975, 4438, 29389, 1546, 7422, 122, 34719, 50915], "temperature": 0, "avg_logprob": -0.09517384957576143, "compression_ratio": 1.212686567164179, "no_speech_prob": 1.833415190499732e-11}, {"id": 159, "seek": 41324, "start": 424.24, "end": 426.24, "text": "在个性化中设置自定义指令", "tokens": [50915, 3581, 7549, 21686, 23756, 5975, 7422, 122, 34719, 9722, 12088, 2930, 231, 25922, 49061, 51015], "temperature": 0, "avg_logprob": -0.09517384957576143, "compression_ratio": 1.212686567164179, "no_speech_prob": 1.833415190499732e-11}, {"id": 160, "seek": 41324, "start": 426.24, "end": 429.24, "text": "把下面这段内容复制进来", "tokens": [51015, 16075, 47150, 5562, 28427, 34742, 25750, 1787, 235, 25491, 36700, 6912, 51165], "temperature": 0, "avg_logprob": -0.09517384957576143, "compression_ratio": 1.212686567164179, "no_speech_prob": 1.833415190499732e-11}, {"id": 161, "seek": 41324, "start": 429.24, "end": 431.24, "text": "如果你在用chat GPT的话", "tokens": [51165, 13119, 41410, 9254, 20057, 26039, 51, 44575, 51265], "temperature": 0, "avg_logprob": -0.09517384957576143, "compression_ratio": 1.212686567164179, "no_speech_prob": 1.833415190499732e-11}, {"id": 162, "seek": 41324, "start": 431.24, "end": 435.24, "text": "在左侧栏项目当中创建一个新的项目", "tokens": [51265, 3581, 21975, 3254, 100, 8987, 237, 10178, 117, 11386, 16233, 5975, 2437, 249, 34157, 20182, 12560, 1546, 10178, 117, 11386, 51465], "temperature": 0, "avg_logprob": -0.09517384957576143, "compression_ratio": 1.212686567164179, "no_speech_prob": 1.833415190499732e-11}, {"id": 163, "seek": 41324, "start": 435.24, "end": 437.24, "text": "右上角找到项目设置", "tokens": [51465, 22060, 5708, 29389, 25085, 4511, 10178, 117, 11386, 7422, 122, 34719, 51565], "temperature": 0, "avg_logprob": -0.09517384957576143, "compression_ratio": 1.212686567164179, "no_speech_prob": 1.833415190499732e-11}, {"id": 164, "seek": 43724, "start": 437.24, "end": 440.24, "text": "在指令框中同样粘贴这段内容", "tokens": [50365, 3581, 25922, 49061, 21416, 228, 5975, 13089, 14496, 18393, 246, 18464, 112, 5562, 28427, 34742, 25750, 50515], "temperature": 0, "avg_logprob": -0.060477970153328, "compression_ratio": 1.2419354838709677, "no_speech_prob": 2.1787934303962864e-11}, {"id": 165, "seek": 43724, "start": 440.24, "end": 443.24, "text": "那么这段话究竟有什么神奇的效果呢", "tokens": [50515, 35693, 5562, 28427, 21596, 44704, 11957, 253, 2412, 10440, 20432, 26907, 1546, 43076, 9319, 6240, 50665], "temperature": 0, "avg_logprob": -0.060477970153328, "compression_ratio": 1.2419354838709677, "no_speech_prob": 2.1787934303962864e-11}, {"id": 166, "seek": 43724, "start": 443.24, "end": 446.24, "text": "首先在任务目标还不清楚的时候", "tokens": [50665, 36490, 3581, 26443, 5087, 94, 11386, 162, 3921, 14852, 1960, 38433, 49873, 50815], "temperature": 0, "avg_logprob": -0.060477970153328, "compression_ratio": 1.2419354838709677, "no_speech_prob": 2.1787934303962864e-11}, {"id": 167, "seek": 43724, "start": 446.24, "end": 450.24, "text": "它会引导你先利用苏格拉底式提问法", "tokens": [50815, 11284, 12949, 41301, 4510, 120, 2166, 10108, 23700, 9254, 13736, 237, 30921, 29717, 22816, 27584, 20949, 22064, 11148, 51015], "temperature": 0, "avg_logprob": -0.060477970153328, "compression_ratio": 1.2419354838709677, "no_speech_prob": 2.1787934303962864e-11}, {"id": 168, "seek": 43724, "start": 450.24, "end": 453.24, "text": "让AI问你几个关键的问题", "tokens": [51015, 33650, 48698, 22064, 2166, 6336, 254, 7549, 28053, 23049, 106, 1546, 34069, 51165], "temperature": 0, "avg_logprob": -0.060477970153328, "compression_ratio": 1.2419354838709677, "no_speech_prob": 2.1787934303962864e-11}, {"id": 169, "seek": 43724, "start": 453.24, "end": 454.24, "text": "这些问题包括", "tokens": [51165, 5562, 13824, 34069, 41828, 51215], "temperature": 0, "avg_logprob": -0.060477970153328, "compression_ratio": 1.2419354838709677, "no_speech_prob": 2.1787934303962864e-11}, {"id": 170, "seek": 43724, "start": 454.24, "end": 456.24, "text": "这次任务的目标是什么", "tokens": [51215, 5562, 9487, 26443, 5087, 94, 1546, 11386, 162, 3921, 1541, 10440, 51315], "temperature": 0, "avg_logprob": -0.060477970153328, "compression_ratio": 1.2419354838709677, "no_speech_prob": 2.1787934303962864e-11}, {"id": 171, "seek": 43724, "start": 456.24, "end": 458.24, "text": "输出范围到哪里为止", "tokens": [51315, 9830, 241, 7781, 27395, 225, 3919, 112, 4511, 17028, 15759, 13992, 30438, 51415], "temperature": 0, "avg_logprob": -0.060477970153328, "compression_ratio": 1.2419354838709677, "no_speech_prob": 2.1787934303962864e-11}, {"id": 172, "seek": 43724, "start": 458.24, "end": 460.24, "text": "有哪些内容不要做", "tokens": [51415, 2412, 17028, 13824, 34742, 25750, 11962, 10907, 51515], "temperature": 0, "avg_logprob": -0.060477970153328, "compression_ratio": 1.2419354838709677, "no_speech_prob": 2.1787934303962864e-11}, {"id": 173, "seek": 46024, "start": 460.24, "end": 464.24, "text": "一来呢它可以帮助你理清工作思路", "tokens": [50365, 2257, 6912, 6240, 11284, 6723, 4845, 106, 37618, 2166, 13876, 21784, 41315, 8870, 24658, 50565], "temperature": 0, "avg_logprob": -0.053466455825906714, "compression_ratio": 1.2746478873239437, "no_speech_prob": 1.6774373556849298e-11}, {"id": 174, "seek": 46024, "start": 464.24, "end": 467.24, "text": "二来也给它清晰的指引", "tokens": [50565, 11217, 6912, 6404, 23197, 11284, 21784, 5094, 108, 1546, 25922, 41301, 50715], "temperature": 0, "avg_logprob": -0.053466455825906714, "compression_ratio": 1.2746478873239437, "no_speech_prob": 1.6774373556849298e-11}, {"id": 175, "seek": 46024, "start": 467.24, "end": 470.24, "text": "从而以最短路径接近任务目标", "tokens": [50715, 35630, 11070, 3588, 8661, 5881, 255, 24658, 2172, 226, 14468, 17463, 26443, 5087, 94, 11386, 162, 3921, 50865], "temperature": 0, "avg_logprob": -0.053466455825906714, "compression_ratio": 1.2746478873239437, "no_speech_prob": 1.6774373556849298e-11}, {"id": 176, "seek": 46024, "start": 470.24, "end": 473.24, "text": "接下来再利用第一性原理", "tokens": [50865, 14468, 4438, 6912, 8623, 23700, 9254, 18049, 21686, 19683, 13876, 51015], "temperature": 0, "avg_logprob": -0.053466455825906714, "compression_ratio": 1.2746478873239437, "no_speech_prob": 1.6774373556849298e-11}, {"id": 177, "seek": 46024, "start": 473.24, "end": 475.24, "text": "把任务拆到最底层", "tokens": [51015, 16075, 26443, 5087, 94, 6852, 228, 4511, 8661, 22816, 9636, 224, 51115], "temperature": 0, "avg_logprob": -0.053466455825906714, "compression_ratio": 1.2746478873239437, "no_speech_prob": 1.6774373556849298e-11}, {"id": 178, "seek": 46024, "start": 475.24, "end": 479.24, "text": "包括这个任务最本质要解决的问题是什么", "tokens": [51115, 41828, 15368, 26443, 5087, 94, 8661, 8802, 18464, 101, 4275, 17278, 5676, 111, 1546, 34069, 1541, 10440, 51315], "temperature": 0, "avg_logprob": -0.053466455825906714, "compression_ratio": 1.2746478873239437, "no_speech_prob": 1.6774373556849298e-11}, {"id": 179, "seek": 46024, "start": 479.24, "end": 482.24, "text": "项目的成功到底取决于哪几个核心变量", "tokens": [51315, 10178, 117, 11386, 1546, 11336, 32311, 33883, 29436, 5676, 111, 37732, 17028, 6336, 254, 7549, 8987, 116, 7945, 2129, 246, 26748, 51465], "temperature": 0, "avg_logprob": -0.053466455825906714, "compression_ratio": 1.2746478873239437, "no_speech_prob": 1.6774373556849298e-11}, {"id": 180, "seek": 46024, "start": 482.24, "end": 485.24, "text": "比如你要做一份产品净品分析", "tokens": [51465, 36757, 32085, 10907, 2257, 36266, 1369, 100, 30246, 6336, 222, 30246, 6627, 7360, 238, 51615], "temperature": 0, "avg_logprob": -0.053466455825906714, "compression_ratio": 1.2746478873239437, "no_speech_prob": 1.6774373556849298e-11}, {"id": 181, "seek": 46024, "start": 485.24, "end": 488.24, "text": "普通的AI可能一上来就会给你列一堆", "tokens": [51615, 29993, 19550, 1546, 48698, 16657, 2257, 5708, 6912, 3111, 12949, 23197, 2166, 43338, 2257, 10726, 228, 51765], "temperature": 0, "avg_logprob": -0.053466455825906714, "compression_ratio": 1.2746478873239437, "no_speech_prob": 1.6774373556849298e-11}, {"id": 182, "seek": 48824, "start": 488.24, "end": 491.24, "text": "产品定位核心功能等等信息", "tokens": [50365, 1369, 100, 30246, 12088, 11160, 8987, 116, 7945, 32311, 8225, 36000, 17665, 26460, 50515], "temperature": 0, "avg_logprob": -0.04195282517409906, "compression_ratio": 1.425531914893617, "no_speech_prob": 1.4123386488096301e-11}, {"id": 183, "seek": 48824, "start": 491.24, "end": 494.24, "text": "这些当然有用但还不够", "tokens": [50515, 5562, 13824, 40486, 2412, 9254, 8395, 14852, 1960, 1787, 253, 50665], "temperature": 0, "avg_logprob": -0.04195282517409906, "compression_ratio": 1.425531914893617, "no_speech_prob": 1.4123386488096301e-11}, {"id": 184, "seek": 48824, "start": 494.24, "end": 496.24, "text": "第一性原理会逼他先问", "tokens": [50665, 18049, 21686, 19683, 13876, 12949, 2215, 120, 5000, 10108, 22064, 50765], "temperature": 0, "avg_logprob": -0.04195282517409906, "compression_ratio": 1.425531914893617, "no_speech_prob": 1.4123386488096301e-11}, {"id": 185, "seek": 48824, "start": 496.24, "end": 499.24, "text": "这份净品分析到底是为了什么", "tokens": [50765, 5562, 36266, 6336, 222, 30246, 6627, 7360, 238, 33883, 1541, 13992, 2289, 10440, 50915], "temperature": 0, "avg_logprob": -0.04195282517409906, "compression_ratio": 1.425531914893617, "no_speech_prob": 1.4123386488096301e-11}, {"id": 186, "seek": 48824, "start": 499.24, "end": 502.24, "text": "是为了老板判断要不要进入一个新的市场", "tokens": [50915, 1541, 13992, 2289, 10439, 43664, 2437, 97, 4307, 255, 4275, 11962, 36700, 14028, 20182, 12560, 1546, 27261, 50255, 51065], "temperature": 0, "avg_logprob": -0.04195282517409906, "compression_ratio": 1.425531914893617, "no_speech_prob": 1.4123386488096301e-11}, {"id": 187, "seek": 48824, "start": 502.24, "end": 507.24, "text": "还是为了产品团队决定下一版功能的优先级", "tokens": [51065, 45726, 13992, 2289, 1369, 100, 30246, 3919, 95, 10034, 253, 5676, 111, 12088, 45271, 42096, 32311, 8225, 1546, 7384, 246, 10108, 16853, 100, 51315], "temperature": 0, "avg_logprob": -0.04195282517409906, "compression_ratio": 1.425531914893617, "no_speech_prob": 1.4123386488096301e-11}, {"id": 188, "seek": 48824, "start": 507.24, "end": 508.24, "text": "如果是给老板看", "tokens": [51315, 13119, 1541, 23197, 10439, 43664, 4200, 51365], "temperature": 0, "avg_logprob": -0.04195282517409906, "compression_ratio": 1.425531914893617, "no_speech_prob": 1.4123386488096301e-11}, {"id": 189, "seek": 48824, "start": 508.24, "end": 511.24, "text": "重点可能会放在市场机会", "tokens": [51365, 12624, 12579, 16657, 12949, 12744, 3581, 27261, 50255, 37960, 12949, 51515], "temperature": 0, "avg_logprob": -0.04195282517409906, "compression_ratio": 1.425531914893617, "no_speech_prob": 1.4123386488096301e-11}, {"id": 190, "seek": 48824, "start": 511.24, "end": 512.24, "text": "商业模式或者风险", "tokens": [51515, 45581, 940, 248, 41908, 27584, 31148, 47209, 8842, 102, 51565], "temperature": 0, "avg_logprob": -0.04195282517409906, "compression_ratio": 1.425531914893617, "no_speech_prob": 1.4123386488096301e-11}, {"id": 191, "seek": 48824, "start": 512.24, "end": 514.24, "text": "那么如果是给产品团队看呢", "tokens": [51565, 35693, 13119, 1541, 23197, 1369, 100, 30246, 3919, 95, 10034, 253, 4200, 6240, 51665], "temperature": 0, "avg_logprob": -0.04195282517409906, "compression_ratio": 1.425531914893617, "no_speech_prob": 1.4123386488096301e-11}, {"id": 192, "seek": 48824, "start": 514.24, "end": 517.24, "text": "重点就有可能是产品功能的差异", "tokens": [51665, 12624, 12579, 3111, 2412, 16657, 1541, 1369, 100, 30246, 32311, 8225, 1546, 21679, 5702, 224, 51815], "temperature": 0, "avg_logprob": -0.04195282517409906, "compression_ratio": 1.425531914893617, "no_speech_prob": 1.4123386488096301e-11}, {"id": 193, "seek": 51724, "start": 517.24, "end": 519.24, "text": "或者用户的使用路径了", "tokens": [50365, 31148, 9254, 1486, 115, 1546, 22982, 9254, 24658, 2172, 226, 2289, 50465], "temperature": 0, "avg_logprob": -0.06709983068353989, "compression_ratio": 1.217741935483871, "no_speech_prob": 1.8827191541892496e-11}, {"id": 194, "seek": 51724, "start": 519.24, "end": 521.24, "text": "最后呢是奥卡姆剃刀院里", "tokens": [50465, 8661, 13547, 6240, 1541, 1881, 98, 32681, 7795, 228, 5935, 225, 2437, 222, 38358, 15759, 50565], "temperature": 0, "avg_logprob": -0.06709983068353989, "compression_ratio": 1.217741935483871, "no_speech_prob": 1.8827191541892496e-11}, {"id": 195, "seek": 51724, "start": 521.24, "end": 524.24, "text": "是把非核心的数据来砍掉", "tokens": [50565, 1541, 16075, 12107, 8987, 116, 7945, 1546, 33188, 26075, 106, 6912, 23230, 235, 29327, 50715], "temperature": 0, "avg_logprob": -0.06709983068353989, "compression_ratio": 1.217741935483871, "no_speech_prob": 1.8827191541892496e-11}, {"id": 196, "seek": 51724, "start": 524.24, "end": 527.24, "text": "比如有涉及到重复的新闻", "tokens": [50715, 36757, 2412, 35681, 231, 25703, 4511, 12624, 1787, 235, 1546, 12560, 8259, 119, 50865], "temperature": 0, "avg_logprob": -0.06709983068353989, "compression_ratio": 1.217741935483871, "no_speech_prob": 1.8827191541892496e-11}, {"id": 197, "seek": 51724, "start": 527.24, "end": 528.24, "text": "无来源的观点", "tokens": [50865, 31364, 6912, 47402, 1546, 42350, 12579, 50915], "temperature": 0, "avg_logprob": -0.06709983068353989, "compression_ratio": 1.217741935483871, "no_speech_prob": 1.8827191541892496e-11}, {"id": 198, "seek": 51724, "start": 528.24, "end": 530.24, "text": "情绪化的表达等等信息", "tokens": [50915, 10570, 10115, 103, 23756, 1546, 17571, 9830, 122, 36000, 17665, 26460, 51015], "temperature": 0, "avg_logprob": -0.06709983068353989, "compression_ratio": 1.217741935483871, "no_speech_prob": 1.8827191541892496e-11}, {"id": 199, "seek": 51724, "start": 530.24, "end": 532.24, "text": "这些都是噪音", "tokens": [51015, 5562, 13824, 22796, 21250, 103, 18034, 51115], "temperature": 0, "avg_logprob": -0.06709983068353989, "compression_ratio": 1.217741935483871, "no_speech_prob": 1.8827191541892496e-11}, {"id": 200, "seek": 51724, "start": 532.24, "end": 535.24, "text": "毕竟不是所有的资料都值得进入上下文", "tokens": [51115, 7256, 243, 11957, 253, 7296, 39300, 1546, 5266, 226, 33404, 7182, 40242, 5916, 36700, 14028, 5708, 4438, 17174, 51265], "temperature": 0, "avg_logprob": -0.06709983068353989, "compression_ratio": 1.217741935483871, "no_speech_prob": 1.8827191541892496e-11}, {"id": 201, "seek": 51724, "start": 535.24, "end": 537.24, "text": "你给AI的信息越杂", "tokens": [51265, 2166, 23197, 48698, 1546, 17665, 26460, 25761, 4422, 224, 51365], "temperature": 0, "avg_logprob": -0.06709983068353989, "compression_ratio": 1.217741935483871, "no_speech_prob": 1.8827191541892496e-11}, {"id": 202, "seek": 51724, "start": 537.24, "end": 539.24, "text": "它越容易把噪音当成重点", "tokens": [51365, 11284, 25761, 49212, 16075, 21250, 103, 18034, 16233, 11336, 12624, 12579, 51465], "temperature": 0, "avg_logprob": -0.06709983068353989, "compression_ratio": 1.217741935483871, "no_speech_prob": 1.8827191541892496e-11}, {"id": 203, "seek": 53924, "start": 539.24, "end": 544.24, "text": "你看这三步其实就是给AI建设了三道关卡", "tokens": [50365, 16529, 5562, 10960, 31429, 41646, 5620, 23197, 48698, 34157, 7422, 122, 2289, 10960, 6025, 28053, 32681, 50615], "temperature": 0, "avg_logprob": -0.09884200839821351, "compression_ratio": 1.13671875, "no_speech_prob": 2.1865322052949665e-11}, {"id": 204, "seek": 53924, "start": 544.24, "end": 548.24, "text": "这也是为什么我说agency.md或项目自定义指令", "tokens": [50615, 5562, 22021, 31006, 1654, 8090, 559, 3020, 13, 76, 67, 19780, 10178, 117, 11386, 9722, 12088, 2930, 231, 25922, 49061, 50815], "temperature": 0, "avg_logprob": -0.09884200839821351, "compression_ratio": 1.13671875, "no_speech_prob": 2.1865322052949665e-11}, {"id": 205, "seek": 53924, "start": 548.24, "end": 550.24, "text": "它不仅仅只是一个提示词", "tokens": [50815, 11284, 1960, 1550, 227, 1550, 227, 36859, 20182, 20949, 25696, 5233, 235, 50915], "temperature": 0, "avg_logprob": -0.09884200839821351, "compression_ratio": 1.13671875, "no_speech_prob": 2.1865322052949665e-11}, {"id": 206, "seek": 53924, "start": 550.24, "end": 554.24, "text": "它更像是你给AI搭建的一套工作制度", "tokens": [50915, 11284, 19002, 12760, 1541, 2166, 23197, 48698, 22220, 255, 34157, 1546, 2257, 1881, 245, 41315, 25491, 13127, 51115], "temperature": 0, "avg_logprob": -0.09884200839821351, "compression_ratio": 1.13671875, "no_speech_prob": 2.1865322052949665e-11}, {"id": 207, "seek": 53924, "start": 554.24, "end": 557.24, "text": "第三个技巧做好上下文管理", "tokens": [51115, 35878, 7549, 32502, 43605, 10907, 2131, 5708, 4438, 17174, 23131, 13876, 51265], "temperature": 0, "avg_logprob": -0.09884200839821351, "compression_ratio": 1.13671875, "no_speech_prob": 2.1865322052949665e-11}, {"id": 208, "seek": 53924, "start": 557.24, "end": 562.24, "text": "很多人用Codex的时候会一直在同一个绘画里面干活", "tokens": [51265, 20778, 4035, 9254, 34, 1429, 87, 49873, 12949, 34448, 3581, 13089, 20182, 10115, 246, 27126, 15759, 8833, 26111, 25956, 51515], "temperature": 0, "avg_logprob": -0.09884200839821351, "compression_ratio": 1.13671875, "no_speech_prob": 2.1865322052949665e-11}, {"id": 209, "seek": 56224, "start": 562.24, "end": 564.24, "text": "刚开始的话是没有问题的", "tokens": [50365, 49160, 45213, 44575, 1541, 17944, 34069, 1546, 50465], "temperature": 0, "avg_logprob": -0.050667634377112754, "compression_ratio": 1.2990033222591362, "no_speech_prob": 1.8495835071852262e-11}, {"id": 210, "seek": 56224, "start": 564.24, "end": 567.24, "text": "但任务一多绘画里就会堆满日志", "tokens": [50465, 8395, 26443, 5087, 94, 2257, 6392, 10115, 246, 27126, 15759, 3111, 12949, 10726, 228, 15868, 94, 6890, 44700, 50615], "temperature": 0, "avg_logprob": -0.050667634377112754, "compression_ratio": 1.2990033222591362, "no_speech_prob": 1.8495835071852262e-11}, {"id": 211, "seek": 56224, "start": 567.24, "end": 571.24, "text": "临时的方案修改记录等等很多旧需求", "tokens": [50615, 940, 112, 15729, 1546, 9249, 28899, 7792, 106, 34490, 34756, 7391, 243, 36000, 20778, 4479, 100, 32535, 32718, 50815], "temperature": 0, "avg_logprob": -0.050667634377112754, "compression_ratio": 1.2990033222591362, "no_speech_prob": 1.8495835071852262e-11}, {"id": 212, "seek": 56224, "start": 571.24, "end": 574.24, "text": "那么你明明已经解决了A功能", "tokens": [50815, 35693, 2166, 11100, 11100, 49161, 17278, 5676, 111, 2289, 32, 32311, 8225, 50965], "temperature": 0, "avg_logprob": -0.050667634377112754, "compression_ratio": 1.2990033222591362, "no_speech_prob": 1.8495835071852262e-11}, {"id": 213, "seek": 56224, "start": 574.24, "end": 577.24, "text": "它还在参考A功能的旧报错", "tokens": [50965, 11284, 14852, 3581, 2129, 224, 26504, 32, 32311, 8225, 1546, 4479, 100, 49817, 29900, 51115], "temperature": 0, "avg_logprob": -0.050667634377112754, "compression_ratio": 1.2990033222591362, "no_speech_prob": 1.8495835071852262e-11}, {"id": 214, "seek": 56224, "start": 577.24, "end": 579.24, "text": "这就是上下文污染", "tokens": [51115, 5562, 5620, 5708, 4438, 17174, 12800, 94, 46568, 51215], "temperature": 0, "avg_logprob": -0.050667634377112754, "compression_ratio": 1.2990033222591362, "no_speech_prob": 1.8495835071852262e-11}, {"id": 215, "seek": 56224, "start": 579.24, "end": 582.24, "text": "所以我们要养成这样一个好习惯", "tokens": [51215, 7239, 15003, 4275, 2347, 119, 11336, 21209, 20182, 2131, 2930, 254, 4799, 107, 51365], "temperature": 0, "avg_logprob": -0.050667634377112754, "compression_ratio": 1.2990033222591362, "no_speech_prob": 1.8495835071852262e-11}, {"id": 216, "seek": 56224, "start": 582.24, "end": 583.24, "text": "当一个任务结束", "tokens": [51365, 16233, 20182, 26443, 5087, 94, 45641, 44320, 51415], "temperature": 0, "avg_logprob": -0.050667634377112754, "compression_ratio": 1.2990033222591362, "no_speech_prob": 1.8495835071852262e-11}, {"id": 217, "seek": 56224, "start": 583.24, "end": 585.24, "text": "就要做一次上下文的清理", "tokens": [51415, 3111, 4275, 10907, 27505, 5708, 4438, 17174, 1546, 21784, 13876, 51515], "temperature": 0, "avg_logprob": -0.050667634377112754, "compression_ratio": 1.2990033222591362, "no_speech_prob": 1.8495835071852262e-11}, {"id": 218, "seek": 56224, "start": 585.24, "end": 587.24, "text": "流程也非常的简单", "tokens": [51515, 27854, 29649, 6404, 48263, 11249, 222, 47446, 51615], "temperature": 0, "avg_logprob": -0.050667634377112754, "compression_ratio": 1.2990033222591362, "no_speech_prob": 1.8495835071852262e-11}, {"id": 219, "seek": 56224, "start": 587.24, "end": 589.24, "text": "第一步任务完成之后", "tokens": [51615, 18049, 31429, 26443, 5087, 94, 41509, 9574, 13547, 51715], "temperature": 0, "avg_logprob": -0.050667634377112754, "compression_ratio": 1.2990033222591362, "no_speech_prob": 1.8495835071852262e-11}, {"id": 220, "seek": 56224, "start": 589.24, "end": 591.24, "text": "我们先让AI总结结果", "tokens": [51715, 15003, 10108, 33650, 48698, 33440, 45641, 45641, 9319, 51815], "temperature": 0, "avg_logprob": -0.050667634377112754, "compression_ratio": 1.2990033222591362, "no_speech_prob": 1.8495835071852262e-11}, {"id": 221, "seek": 59124, "start": 591.24, "end": 595.24, "text": "在对话框中让它做一份工作交接文档", "tokens": [50365, 3581, 8713, 21596, 21416, 228, 5975, 33650, 11284, 10907, 2257, 36266, 41315, 28455, 14468, 17174, 21416, 96, 50565], "temperature": 0, "avg_logprob": -0.062226784693730344, "compression_ratio": 1.3257575757575757, "no_speech_prob": 1.5696555166755388e-11}, {"id": 222, "seek": 59124, "start": 595.24, "end": 599.24, "text": "就像你同事离职给你的工作交接文档是一样的", "tokens": [50565, 3111, 12760, 2166, 13089, 6973, 18614, 119, 8171, 234, 23197, 18961, 41315, 28455, 14468, 17174, 21416, 96, 1541, 2257, 14496, 1546, 50765], "temperature": 0, "avg_logprob": -0.062226784693730344, "compression_ratio": 1.3257575757575757, "no_speech_prob": 1.5696555166755388e-11}, {"id": 223, "seek": 59124, "start": 599.24, "end": 604.24, "text": "它是为了下一个任务来提供工作背景与规则的参考", "tokens": [50765, 11284, 1541, 13992, 2289, 4438, 20182, 26443, 5087, 94, 6912, 20949, 3254, 249, 41315, 46329, 50218, 940, 236, 6758, 226, 2437, 247, 1546, 2129, 224, 26504, 51015], "temperature": 0, "avg_logprob": -0.062226784693730344, "compression_ratio": 1.3257575757575757, "no_speech_prob": 1.5696555166755388e-11}, {"id": 224, "seek": 59124, "start": 604.24, "end": 605.24, "text": "第二步呢", "tokens": [51015, 19693, 31429, 6240, 51065], "temperature": 0, "avg_logprob": -0.062226784693730344, "compression_ratio": 1.3257575757575757, "no_speech_prob": 1.5696555166755388e-11}, {"id": 225, "seek": 59124, "start": 605.24, "end": 608.24, "text": "在Codex中是支持斜杠命令", "tokens": [51065, 3581, 34, 1429, 87, 5975, 1541, 35488, 4307, 250, 4422, 254, 25236, 49061, 51215], "temperature": 0, "avg_logprob": -0.062226784693730344, "compression_ratio": 1.3257575757575757, "no_speech_prob": 1.5696555166755388e-11}, {"id": 226, "seek": 59124, "start": 608.24, "end": 611.24, "text": "斜杠New这类开启新绘画命令", "tokens": [51215, 4307, 250, 4422, 254, 18278, 5562, 22113, 119, 18937, 2392, 107, 12560, 10115, 246, 27126, 25236, 49061, 51365], "temperature": 0, "avg_logprob": -0.062226784693730344, "compression_ratio": 1.3257575757575757, "no_speech_prob": 1.5696555166755388e-11}, {"id": 227, "seek": 59124, "start": 611.24, "end": 614.24, "text": "它会在当前绘画窗口新开一个任务", "tokens": [51365, 11284, 12949, 3581, 16233, 8945, 10115, 246, 27126, 30771, 245, 18144, 12560, 18937, 20182, 26443, 5087, 94, 51515], "temperature": 0, "avg_logprob": -0.062226784693730344, "compression_ratio": 1.3257575757575757, "no_speech_prob": 1.5696555166755388e-11}, {"id": 228, "seek": 59124, "start": 614.24, "end": 618.24, "text": "并且呢我也向它确认了其含义及分界线", "tokens": [51515, 3509, 114, 20334, 6240, 27761, 24282, 11284, 38114, 106, 7422, 97, 2289, 9572, 2392, 104, 2930, 231, 25703, 6627, 21185, 16853, 123, 51715], "temperature": 0, "avg_logprob": -0.062226784693730344, "compression_ratio": 1.3257575757575757, "no_speech_prob": 1.5696555166755388e-11}, {"id": 229, "seek": 61824, "start": 618.24, "end": 622.24, "text": "它不是延续上一轮任务目标与执行状态", "tokens": [50365, 11284, 7296, 17527, 114, 10115, 255, 5708, 2257, 17819, 106, 26443, 5087, 94, 11386, 162, 3921, 940, 236, 3416, 100, 8082, 35276, 114, 3757, 223, 50565], "temperature": 0, "avg_logprob": -0.05926809310913086, "compression_ratio": 1.0743243243243243, "no_speech_prob": 1.9222446551170336e-11}, {"id": 230, "seek": 61824, "start": 622.24, "end": 626.24, "text": "而是依旧保持长期的规则", "tokens": [50565, 11070, 1541, 3254, 251, 4479, 100, 24302, 17694, 32271, 16786, 1546, 6758, 226, 2437, 247, 50765], "temperature": 0, "avg_logprob": -0.05926809310913086, "compression_ratio": 1.0743243243243243, "no_speech_prob": 1.9222446551170336e-11}, {"id": 231, "seek": 61824, "start": 626.24, "end": 628.24, "text": "当前工作目录与权限", "tokens": [50765, 16233, 8945, 41315, 11386, 7391, 243, 940, 236, 4422, 225, 43446, 50865], "temperature": 0, "avg_logprob": -0.05926809310913086, "compression_ratio": 1.0743243243243243, "no_speech_prob": 1.9222446551170336e-11}, {"id": 232, "seek": 61824, "start": 628.24, "end": 630.24, "text": "并非完全的失忆了", "tokens": [50865, 3509, 114, 12107, 37100, 1546, 28564, 4263, 228, 2289, 50965], "temperature": 0, "avg_logprob": -0.05926809310913086, "compression_ratio": 1.0743243243243243, "no_speech_prob": 1.9222446551170336e-11}, {"id": 233, "seek": 61824, "start": 630.24, "end": 632.24, "text": "第三步在新绘画里", "tokens": [50965, 35878, 31429, 3581, 12560, 10115, 246, 27126, 15759, 51065], "temperature": 0, "avg_logprob": -0.05926809310913086, "compression_ratio": 1.0743243243243243, "no_speech_prob": 1.9222446551170336e-11}, {"id": 234, "seek": 63224, "start": 632.24, "end": 634.24, "text": "我们只给必要的信息", "tokens": [50365, 15003, 14003, 23197, 28531, 4275, 1546, 17665, 26460, 50465], "temperature": 0, "avg_logprob": -0.05460064123708305, "compression_ratio": 1.2583025830258303, "no_speech_prob": 1.74348816633918e-11}, {"id": 235, "seek": 63224, "start": 634.24, "end": 636.24, "text": "包括这个新任务的目标", "tokens": [50465, 41828, 15368, 12560, 26443, 5087, 94, 1546, 11386, 162, 3921, 50565], "temperature": 0, "avg_logprob": -0.05460064123708305, "compression_ratio": 1.2583025830258303, "no_speech_prob": 1.74348816633918e-11}, {"id": 236, "seek": 63224, "start": 636.24, "end": 638.24, "text": "约束验收标准", "tokens": [50565, 16853, 99, 44320, 49657, 234, 18681, 162, 3921, 6336, 228, 50665], "temperature": 0, "avg_logprob": -0.05460064123708305, "compression_ratio": 1.2583025830258303, "no_speech_prob": 1.74348816633918e-11}, {"id": 237, "seek": 63224, "start": 638.24, "end": 642.24, "text": "以及上个任务对这个任务的有效结论", "tokens": [50665, 40282, 5708, 7549, 26443, 5087, 94, 8713, 15368, 26443, 5087, 94, 1546, 2412, 43076, 45641, 7422, 118, 50865], "temperature": 0, "avg_logprob": -0.05460064123708305, "compression_ratio": 1.2583025830258303, "no_speech_prob": 1.74348816633918e-11}, {"id": 238, "seek": 63224, "start": 642.24, "end": 645.24, "text": "这是一种很实用的省token的方法", "tokens": [50865, 27455, 2257, 39810, 4563, 24726, 9254, 1546, 2862, 223, 83, 8406, 1546, 9249, 11148, 51015], "temperature": 0, "avg_logprob": -0.05460064123708305, "compression_ratio": 1.2583025830258303, "no_speech_prob": 1.74348816633918e-11}, {"id": 239, "seek": 63224, "start": 645.24, "end": 648.24, "text": "它省的不是某一次的输入", "tokens": [51015, 11284, 2862, 223, 1546, 7296, 17238, 238, 27505, 1546, 9830, 241, 14028, 51165], "temperature": 0, "avg_logprob": -0.05460064123708305, "compression_ratio": 1.2583025830258303, "no_speech_prob": 1.74348816633918e-11}, {"id": 240, "seek": 63224, "start": 648.24, "end": 651.24, "text": "而是减少整个绘画里面的无效历史", "tokens": [51165, 11070, 1541, 6336, 237, 15686, 27662, 7549, 10115, 246, 27126, 15759, 8833, 1546, 31364, 43076, 5014, 228, 45399, 51315], "temperature": 0, "avg_logprob": -0.05460064123708305, "compression_ratio": 1.2583025830258303, "no_speech_prob": 1.74348816633918e-11}, {"id": 241, "seek": 63224, "start": 651.24, "end": 653.24, "text": "那么为了佐证我的方法有效呢", "tokens": [51315, 35693, 13992, 2289, 48361, 5233, 223, 14200, 9249, 11148, 2412, 43076, 6240, 51415], "temperature": 0, "avg_logprob": -0.05460064123708305, "compression_ratio": 1.2583025830258303, "no_speech_prob": 1.74348816633918e-11}, {"id": 242, "seek": 63224, "start": 653.24, "end": 657.24, "text": "我们可以回到Codex或者Cloud的token计价方案当中", "tokens": [51415, 15003, 6723, 8350, 4511, 34, 1429, 87, 31148, 32787, 1546, 83, 8406, 7422, 94, 1550, 115, 9249, 28899, 16233, 5975, 51615], "temperature": 0, "avg_logprob": -0.05460064123708305, "compression_ratio": 1.2583025830258303, "no_speech_prob": 1.74348816633918e-11}, {"id": 243, "seek": 65724, "start": 657.24, "end": 659.24, "text": "来看看现有的规则", "tokens": [50365, 6912, 22884, 20204, 2412, 1546, 6758, 226, 2437, 247, 50465], "temperature": 0, "avg_logprob": -0.0612356384839017, "compression_ratio": 1.3670411985018727, "no_speech_prob": 1.6713415373903473e-11}, {"id": 244, "seek": 65724, "start": 659.24, "end": 664.24, "text": "你会发现他们都提到了缓存输入与缓存命中的寄费模式", "tokens": [50465, 2166, 12949, 28926, 20204, 47911, 7182, 20949, 21381, 38109, 241, 39781, 9830, 241, 14028, 940, 236, 38109, 241, 39781, 25236, 5975, 1546, 4510, 226, 18464, 117, 41908, 27584, 50715], "temperature": 0, "avg_logprob": -0.0612356384839017, "compression_ratio": 1.3670411985018727, "no_speech_prob": 1.6713415373903473e-11}, {"id": 245, "seek": 65724, "start": 664.24, "end": 666.24, "text": "那这又是什么意思呢", "tokens": [50715, 4184, 5562, 17047, 1541, 10440, 16697, 6240, 50815], "temperature": 0, "avg_logprob": -0.0612356384839017, "compression_ratio": 1.3670411985018727, "no_speech_prob": 1.6713415373903473e-11}, {"id": 246, "seek": 65724, "start": 666.24, "end": 671.24, "text": "缓存输入是第一次处理长提示词的前缀时", "tokens": [50815, 38109, 241, 39781, 9830, 241, 14028, 1541, 18049, 9487, 1787, 226, 13876, 32271, 20949, 25696, 5233, 235, 1546, 8945, 38109, 222, 15729, 51065], "temperature": 0, "avg_logprob": -0.0612356384839017, "compression_ratio": 1.3670411985018727, "no_speech_prob": 1.6713415373903473e-11}, {"id": 247, "seek": 65724, "start": 671.24, "end": 674.24, "text": "系统把可复用的前缀缓存下来", "tokens": [51065, 25368, 10115, 253, 16075, 4429, 1787, 235, 9254, 1546, 8945, 38109, 222, 38109, 241, 39781, 4438, 6912, 51215], "temperature": 0, "avg_logprob": -0.0612356384839017, "compression_ratio": 1.3670411985018727, "no_speech_prob": 1.6713415373903473e-11}, {"id": 248, "seek": 65724, "start": 674.24, "end": 676.24, "text": "通常没有单独的写入费", "tokens": [51215, 19550, 11279, 17944, 47446, 18637, 105, 1546, 5676, 247, 14028, 18464, 117, 51315], "temperature": 0, "avg_logprob": -0.0612356384839017, "compression_ratio": 1.3670411985018727, "no_speech_prob": 1.6713415373903473e-11}, {"id": 249, "seek": 65724, "start": 676.24, "end": 681.24, "text": "但首次输入会按照普通的input模式来寄费", "tokens": [51315, 8395, 25444, 9487, 9830, 241, 14028, 12949, 26613, 32150, 29993, 19550, 1546, 259, 2582, 41908, 27584, 6912, 4510, 226, 18464, 117, 51565], "temperature": 0, "avg_logprob": -0.0612356384839017, "compression_ratio": 1.3670411985018727, "no_speech_prob": 1.6713415373903473e-11}, {"id": 250, "seek": 65724, "start": 681.24, "end": 684.24, "text": "比如系统的角色、项目规则", "tokens": [51565, 36757, 25368, 10115, 253, 1546, 29389, 17673, 1231, 10178, 117, 11386, 6758, 226, 2437, 247, 51715], "temperature": 0, "avg_logprob": -0.0612356384839017, "compression_ratio": 1.3670411985018727, "no_speech_prob": 1.6713415373903473e-11}, {"id": 251, "seek": 65724, "start": 684.24, "end": 686.24, "text": "都可算作可复用的前缀", "tokens": [51715, 7182, 4429, 19497, 11914, 4429, 1787, 235, 9254, 1546, 8945, 38109, 222, 51815], "temperature": 0, "avg_logprob": -0.0612356384839017, "compression_ratio": 1.3670411985018727, "no_speech_prob": 1.6713415373903473e-11}, {"id": 252, "seek": 68624, "start": 686.24, "end": 693.24, "text": "缓存命中就是在对话当中请求的开头和缓存前缀进行匹配", "tokens": [50365, 38109, 241, 39781, 25236, 5975, 5620, 3581, 8713, 21596, 16233, 5975, 27908, 32718, 1546, 18937, 39862, 12565, 38109, 241, 39781, 8945, 38109, 222, 36700, 8082, 9937, 117, 38846, 50715], "temperature": 0, "avg_logprob": -0.05363735266491375, "compression_ratio": 1.2252252252252251, "no_speech_prob": 1.9963848282844587e-11}, {"id": 253, "seek": 68624, "start": 693.24, "end": 696.24, "text": "系统会复用之前处理过的前缀", "tokens": [50715, 25368, 10115, 253, 12949, 1787, 235, 9254, 32442, 1787, 226, 13876, 16866, 1546, 8945, 38109, 222, 50865], "temperature": 0, "avg_logprob": -0.05363735266491375, "compression_ratio": 1.2252252252252251, "no_speech_prob": 1.9963848282844587e-11}, {"id": 254, "seek": 68624, "start": 696.24, "end": 700.24, "text": "被命中的内容就会按照缓存命中来计费", "tokens": [50865, 23238, 25236, 5975, 1546, 34742, 25750, 3111, 12949, 26613, 32150, 38109, 241, 39781, 25236, 5975, 6912, 7422, 94, 18464, 117, 51065], "temperature": 0, "avg_logprob": -0.05363735266491375, "compression_ratio": 1.2252252252252251, "no_speech_prob": 1.9963848282844587e-11}, {"id": 255, "seek": 68624, "start": 700.24, "end": 704.24, "text": "收费呢会比首次input费用低很多", "tokens": [51065, 18681, 18464, 117, 6240, 12949, 11706, 25444, 9487, 259, 2582, 18464, 117, 9254, 41377, 20778, 51265], "temperature": 0, "avg_logprob": -0.05363735266491375, "compression_ratio": 1.2252252252252251, "no_speech_prob": 1.9963848282844587e-11}, {"id": 256, "seek": 68624, "start": 704.24, "end": 709.24, "text": "比如我们在之前设置的规则当中提到了项目两个字", "tokens": [51265, 36757, 15003, 3581, 32442, 7422, 122, 34719, 1546, 6758, 226, 2437, 247, 16233, 5975, 20949, 21381, 10178, 117, 11386, 36257, 7549, 22381, 51515], "temperature": 0, "avg_logprob": -0.05363735266491375, "compression_ratio": 1.2252252252252251, "no_speech_prob": 1.9963848282844587e-11}, {"id": 257, "seek": 70924, "start": 709.24, "end": 714.24, "text": "那么后续你在给它对话当中提到了项目这个字", "tokens": [50365, 35693, 13547, 10115, 255, 41410, 23197, 11284, 8713, 21596, 16233, 5975, 20949, 21381, 10178, 117, 11386, 15368, 22381, 50615], "temperature": 0, "avg_logprob": -0.10837243000666301, "compression_ratio": 1.0076335877862594, "no_speech_prob": 1.7644632283042583e-11}, {"id": 258, "seek": 70924, "start": 714.24, "end": 716.24, "text": "就会表示已经命中", "tokens": [50615, 3111, 12949, 40053, 49161, 25236, 5975, 50715], "temperature": 0, "avg_logprob": -0.10837243000666301, "compression_ratio": 1.0076335877862594, "no_speech_prob": 1.7644632283042583e-11}, {"id": 259, "seek": 70924, "start": 716.24, "end": 719.24, "text": "由此更加印证了上下文管理的重要性", "tokens": [50715, 23786, 17947, 19002, 9990, 35825, 5233, 223, 2289, 5708, 4438, 17174, 23131, 13876, 1546, 24928, 21686, 50865], "temperature": 0, "avg_logprob": -0.10837243000666301, "compression_ratio": 1.0076335877862594, "no_speech_prob": 1.7644632283042583e-11}, {"id": 260, "seek": 71924, "start": 719.24, "end": 724.24, "text": "一旦你开始频繁的修改或不定义好前置条件", "tokens": [50365, 2257, 4479, 99, 2166, 45213, 39752, 23141, 223, 1546, 7792, 106, 34490, 19780, 1960, 12088, 2930, 231, 2131, 8945, 34719, 48837, 20485, 50615], "temperature": 0, "avg_logprob": -0.08664566097837506, "compression_ratio": 1.0201342281879195, "no_speech_prob": 2.010778349381681e-11}, {"id": 261, "seek": 71924, "start": 724.24, "end": 727.24, "text": "系统呢就有可能找不到可复用的字段", "tokens": [50615, 25368, 10115, 253, 6240, 3111, 2412, 16657, 25085, 35728, 4429, 1787, 235, 9254, 1546, 22381, 28427, 50765], "temperature": 0, "avg_logprob": -0.08664566097837506, "compression_ratio": 1.0201342281879195, "no_speech_prob": 2.010778349381681e-11}, {"id": 262, "seek": 71924, "start": 727.24, "end": 730.24, "text": "那它就会不断的采用input模式来击费", "tokens": [50765, 4184, 11284, 3111, 12949, 1960, 4307, 255, 1546, 5873, 229, 9254, 259, 2582, 41908, 27584, 6912, 6336, 119, 18464, 117, 50915], "temperature": 0, "avg_logprob": -0.08664566097837506, "compression_ratio": 1.0201342281879195, "no_speech_prob": 2.010778349381681e-11}, {"id": 263, "seek": 73024, "start": 730.24, "end": 733.24, "text": "那银子真是哗哗如流水啊", "tokens": [50365, 4184, 165, 241, 114, 7626, 6303, 1541, 3858, 245, 3858, 245, 8238, 27854, 15590, 4905, 50515], "temperature": 0, "avg_logprob": -0.04422708571426512, "compression_ratio": 1.213740458015267, "no_speech_prob": 1.930285965789924e-11}, {"id": 264, "seek": 73024, "start": 733.24, "end": 736.24, "text": "所以我们来总结一下上下文管理的原则", "tokens": [50515, 7239, 15003, 6912, 33440, 45641, 8861, 5708, 4438, 17174, 23131, 13876, 1546, 19683, 2437, 247, 50665], "temperature": 0, "avg_logprob": -0.04422708571426512, "compression_ratio": 1.213740458015267, "no_speech_prob": 1.930285965789924e-11}, {"id": 265, "seek": 73024, "start": 736.24, "end": 738.24, "text": "用一个任务一个绘画", "tokens": [50665, 9254, 20182, 26443, 5087, 94, 20182, 10115, 246, 27126, 50765], "temperature": 0, "avg_logprob": -0.04422708571426512, "compression_ratio": 1.213740458015267, "no_speech_prob": 1.930285965789924e-11}, {"id": 266, "seek": 73024, "start": 738.24, "end": 740.24, "text": "任务结束呢先总结", "tokens": [50765, 26443, 5087, 94, 45641, 44320, 6240, 10108, 33440, 45641, 50865], "temperature": 0, "avg_logprob": -0.04422708571426512, "compression_ratio": 1.213740458015267, "no_speech_prob": 1.930285965789924e-11}, {"id": 267, "seek": 73024, "start": 740.24, "end": 744.24, "text": "新任务的开始我们只需要带必要的结果", "tokens": [50865, 12560, 26443, 5087, 94, 1546, 45213, 15003, 14003, 35748, 4845, 99, 28531, 4275, 1546, 45641, 9319, 51065], "temperature": 0, "avg_logprob": -0.04422708571426512, "compression_ratio": 1.213740458015267, "no_speech_prob": 1.930285965789924e-11}, {"id": 268, "seek": 73024, "start": 744.24, "end": 747.24, "text": "当然你也可以把它写进agents.md", "tokens": [51065, 40486, 2166, 47935, 42061, 5676, 247, 36700, 559, 791, 13, 76, 67, 51215], "temperature": 0, "avg_logprob": -0.04422708571426512, "compression_ratio": 1.213740458015267, "no_speech_prob": 1.930285965789924e-11}, {"id": 269, "seek": 73024, "start": 747.24, "end": 749.24, "text": "或者是项目自定义的指令里", "tokens": [51215, 31148, 1541, 10178, 117, 11386, 9722, 12088, 2930, 231, 1546, 25922, 49061, 15759, 51315], "temperature": 0, "avg_logprob": -0.04422708571426512, "compression_ratio": 1.213740458015267, "no_speech_prob": 1.930285965789924e-11}, {"id": 270, "seek": 73024, "start": 749.24, "end": 752.24, "text": "相信这样一套操作下来会有立竿见影的效果", "tokens": [51315, 35428, 21209, 2257, 1881, 245, 13167, 235, 11914, 4438, 6912, 12949, 2412, 24409, 11957, 123, 23813, 16820, 1546, 43076, 9319, 51465], "temperature": 0, "avg_logprob": -0.04422708571426512, "compression_ratio": 1.213740458015267, "no_speech_prob": 1.930285965789924e-11}, {"id": 271, "seek": 75224, "start": 752.24, "end": 758.24, "text": "第四个技巧整理杂乱的文件并建立自动索引机制", "tokens": [50365, 7536, 19425, 7549, 32502, 43605, 27662, 13876, 4422, 224, 2930, 109, 1546, 17174, 20485, 3509, 114, 34157, 24409, 9722, 34961, 7732, 95, 41301, 37960, 25491, 50665], "temperature": 0, "avg_logprob": -0.07120961536561822, "compression_ratio": 1.3134796238244515, "no_speech_prob": 1.3910247953496935e-11}, {"id": 272, "seek": 75224, "start": 758.24, "end": 761.24, "text": "在工作当中我们要处理很多的临时任务", "tokens": [50665, 3581, 41315, 16233, 5975, 15003, 4275, 1787, 226, 13876, 20778, 1546, 940, 112, 15729, 26443, 5087, 94, 50815], "temperature": 0, "avg_logprob": -0.07120961536561822, "compression_ratio": 1.3134796238244515, "no_speech_prob": 1.3910247953496935e-11}, {"id": 273, "seek": 75224, "start": 761.24, "end": 764.24, "text": "长期下来这些文件都未存的杂乱无章", "tokens": [50815, 32271, 16786, 4438, 6912, 5562, 13824, 17174, 20485, 7182, 29954, 39781, 1546, 4422, 224, 2930, 109, 31364, 11957, 254, 50965], "temperature": 0, "avg_logprob": -0.07120961536561822, "compression_ratio": 1.3134796238244515, "no_speech_prob": 1.3910247953496935e-11}, {"id": 274, "seek": 75224, "start": 764.24, "end": 768.24, "text": "有的在本地有的在邮件箱有在云盘", "tokens": [50965, 2412, 1546, 3581, 8802, 10928, 2412, 1546, 3581, 3023, 106, 20485, 11249, 109, 2412, 3581, 1369, 239, 5419, 246, 51165], "temperature": 0, "avg_logprob": -0.07120961536561822, "compression_ratio": 1.3134796238244515, "no_speech_prob": 1.3910247953496935e-11}, {"id": 275, "seek": 75224, "start": 768.24, "end": 772.24, "text": "尤其是遇到让你找一下几个月前某某项目的资料的时候", "tokens": [51165, 1530, 97, 9572, 1541, 3330, 229, 4511, 33650, 2166, 25085, 8861, 6336, 254, 7549, 6939, 8945, 17238, 238, 17238, 238, 10178, 117, 11386, 1546, 5266, 226, 33404, 49873, 51365], "temperature": 0, "avg_logprob": -0.07120961536561822, "compression_ratio": 1.3134796238244515, "no_speech_prob": 1.3910247953496935e-11}, {"id": 276, "seek": 75224, "start": 772.24, "end": 774.24, "text": "那真的是很痛苦了", "tokens": [51365, 4184, 45698, 4563, 28737, 30300, 2289, 51465], "temperature": 0, "avg_logprob": -0.07120961536561822, "compression_ratio": 1.3134796238244515, "no_speech_prob": 1.3910247953496935e-11}, {"id": 277, "seek": 75224, "start": 774.24, "end": 776.24, "text": "即使是让AI来帮你找", "tokens": [51465, 39127, 22982, 1541, 33650, 48698, 6912, 4845, 106, 2166, 25085, 51565], "temperature": 0, "avg_logprob": -0.07120961536561822, "compression_ratio": 1.3134796238244515, "no_speech_prob": 1.3910247953496935e-11}, {"id": 278, "seek": 75224, "start": 776.24, "end": 779.24, "text": "它也很难识别到哪个是你真正要的版本", "tokens": [51565, 11284, 6404, 4563, 46531, 5233, 228, 18453, 4511, 17028, 7549, 1541, 2166, 6303, 15789, 4275, 1546, 42096, 8802, 51715], "temperature": 0, "avg_logprob": -0.07120961536561822, "compression_ratio": 1.3134796238244515, "no_speech_prob": 1.3910247953496935e-11}, {"id": 279, "seek": 75224, "start": 779.24, "end": 782.24, "text": "那么这一来二去呢就会消失去", "tokens": [51715, 35693, 5562, 2257, 6912, 11217, 6734, 6240, 3111, 12949, 28837, 28564, 6734, 51865], "temperature": 0, "avg_logprob": -0.07120961536561822, "compression_ratio": 1.3134796238244515, "no_speech_prob": 1.3910247953496935e-11}, {"id": 280, "seek": 78224, "start": 782.24, "end": 784.24, "text": "找到非常多的token", "tokens": [50365, 25085, 4511, 14392, 6392, 1546, 83, 8406, 50465], "temperature": 0, "avg_logprob": -0.08100145834463614, "compression_ratio": 1.2557377049180327, "no_speech_prob": 1.527680412727328e-11}, {"id": 281, "seek": 78224, "start": 784.24, "end": 786.24, "text": "那么我们就可以通过以下步骤", "tokens": [50465, 35693, 15003, 36781, 19550, 16866, 3588, 4438, 31429, 49657, 97, 50565], "temperature": 0, "avg_logprob": -0.08100145834463614, "compression_ratio": 1.2557377049180327, "no_speech_prob": 1.527680412727328e-11}, {"id": 282, "seek": 78224, "start": 786.24, "end": 788.24, "text": "来完成本地项目库的整理", "tokens": [50565, 6912, 41509, 8802, 10928, 10178, 117, 11386, 6346, 241, 1546, 27662, 13876, 50665], "temperature": 0, "avg_logprob": -0.08100145834463614, "compression_ratio": 1.2557377049180327, "no_speech_prob": 1.527680412727328e-11}, {"id": 283, "seek": 78224, "start": 788.24, "end": 792.24, "text": "首先呢我们要选择整理的项目对象", "tokens": [50665, 36490, 6240, 15003, 4275, 2215, 231, 6852, 102, 27662, 13876, 1546, 10178, 117, 11386, 8713, 45007, 50865], "temperature": 0, "avg_logprob": -0.08100145834463614, "compression_ratio": 1.2557377049180327, "no_speech_prob": 1.527680412727328e-11}, {"id": 284, "seek": 78224, "start": 792.24, "end": 796.24, "text": "接下来打开左下角的Plan计划模式", "tokens": [50865, 14468, 4438, 6912, 12467, 18937, 21975, 4438, 29389, 1546, 47, 8658, 7422, 94, 2437, 240, 41908, 27584, 51065], "temperature": 0, "avg_logprob": -0.08100145834463614, "compression_ratio": 1.2557377049180327, "no_speech_prob": 1.527680412727328e-11}, {"id": 285, "seek": 78224, "start": 796.24, "end": 798.24, "text": "复制这段提示词", "tokens": [51065, 1787, 235, 25491, 5562, 28427, 20949, 25696, 5233, 235, 51165], "temperature": 0, "avg_logprob": -0.08100145834463614, "compression_ratio": 1.2557377049180327, "no_speech_prob": 1.527680412727328e-11}, {"id": 286, "seek": 78224, "start": 798.24, "end": 802.24, "text": "其中描述了我们要先对文件进行一个全面的提建", "tokens": [51165, 9572, 5975, 11673, 237, 3316, 108, 2289, 15003, 4275, 10108, 8713, 17174, 20485, 36700, 8082, 20182, 11319, 8833, 1546, 20949, 34157, 51365], "temperature": 0, "avg_logprob": -0.08100145834463614, "compression_ratio": 1.2557377049180327, "no_speech_prob": 1.527680412727328e-11}, {"id": 287, "seek": 78224, "start": 802.24, "end": 804.24, "text": "但不读取正文", "tokens": [51365, 8395, 1960, 5233, 119, 29436, 15789, 17174, 51465], "temperature": 0, "avg_logprob": -0.08100145834463614, "compression_ratio": 1.2557377049180327, "no_speech_prob": 1.527680412727328e-11}, {"id": 288, "seek": 78224, "start": 804.24, "end": 807.24, "text": "接下来呢让它输出文件的清单", "tokens": [51465, 14468, 4438, 6912, 6240, 33650, 11284, 9830, 241, 7781, 17174, 20485, 1546, 21784, 47446, 51615], "temperature": 0, "avg_logprob": -0.08100145834463614, "compression_ratio": 1.2557377049180327, "no_speech_prob": 1.527680412727328e-11}, {"id": 289, "seek": 78224, "start": 807.24, "end": 811.24, "text": "为日后AI检索该文档当中的资料提供索引目录", "tokens": [51615, 13992, 6890, 13547, 48698, 16407, 222, 7732, 95, 44646, 17174, 21416, 96, 16233, 5975, 1546, 5266, 226, 33404, 20949, 3254, 249, 7732, 95, 41301, 11386, 7391, 243, 51815], "temperature": 0, "avg_logprob": -0.08100145834463614, "compression_ratio": 1.2557377049180327, "no_speech_prob": 1.527680412727328e-11}, {"id": 290, "seek": 81124, "start": 811.24, "end": 815.24, "text": "这份索引目录是以低token消耗为核心", "tokens": [50365, 5562, 36266, 7732, 95, 41301, 11386, 7391, 243, 1541, 3588, 41377, 83, 8406, 28837, 4450, 245, 13992, 8987, 116, 7945, 50565], "temperature": 0, "avg_logprob": -0.09276149008009169, "compression_ratio": 0.8705882352941177, "no_speech_prob": 1.5909910541789252e-11}, {"id": 291, "seek": 81124, "start": 815.24, "end": 817.24, "text": "而且生成有目录地图", "tokens": [50565, 22942, 8244, 11336, 2412, 11386, 7391, 243, 10928, 3919, 122, 50665], "temperature": 0, "avg_logprob": -0.09276149008009169, "compression_ratio": 0.8705882352941177, "no_speech_prob": 1.5909910541789252e-11}, {"id": 292, "seek": 81724, "start": 817.24, "end": 819.24, "text": "重要的文件摘要卡", "tokens": [50365, 24928, 1546, 17174, 20485, 34783, 246, 4275, 32681, 50465], "temperature": 0, "avg_logprob": -0.05303288405796267, "compression_ratio": 1.2222222222222223, "no_speech_prob": 1.8607811472226565e-11}, {"id": 293, "seek": 81724, "start": 819.24, "end": 821.24, "text": "未来的检索规则", "tokens": [50465, 29954, 6912, 1546, 16407, 222, 7732, 95, 6758, 226, 2437, 247, 50565], "temperature": 0, "avg_logprob": -0.05303288405796267, "compression_ratio": 1.2222222222222223, "no_speech_prob": 1.8607811472226565e-11}, {"id": 294, "seek": 81724, "start": 821.24, "end": 825.24, "text": "整个过程不会删除修改移动文件的内容", "tokens": [50565, 27662, 7549, 16866, 29649, 47928, 2437, 254, 32999, 7792, 106, 34490, 8204, 119, 34961, 17174, 20485, 1546, 34742, 25750, 50765], "temperature": 0, "avg_logprob": -0.05303288405796267, "compression_ratio": 1.2222222222222223, "no_speech_prob": 1.8607811472226565e-11}, {"id": 295, "seek": 81724, "start": 825.24, "end": 827.24, "text": "所以不必担心数据的丢失", "tokens": [50765, 7239, 1960, 28531, 6852, 227, 7945, 33188, 26075, 106, 1546, 940, 95, 28564, 50865], "temperature": 0, "avg_logprob": -0.05303288405796267, "compression_ratio": 1.2222222222222223, "no_speech_prob": 1.8607811472226565e-11}, {"id": 296, "seek": 81724, "start": 827.24, "end": 829.24, "text": "建立好这套机制之后啊", "tokens": [50865, 34157, 24409, 2131, 5562, 1881, 245, 37960, 25491, 9574, 13547, 4905, 50965], "temperature": 0, "avg_logprob": -0.05303288405796267, "compression_ratio": 1.2222222222222223, "no_speech_prob": 1.8607811472226565e-11}, {"id": 297, "seek": 81724, "start": 829.24, "end": 833.24, "text": "以后你再整理或搜索文件", "tokens": [50965, 3588, 13547, 2166, 8623, 27662, 13876, 19780, 162, 14987, 7732, 95, 17174, 20485, 51165], "temperature": 0, "avg_logprob": -0.05303288405796267, "compression_ratio": 1.2222222222222223, "no_speech_prob": 1.8607811472226565e-11}, {"id": 298, "seek": 81724, "start": 833.24, "end": 835.24, "text": "它就会清晰的标注文件的位置", "tokens": [51165, 11284, 3111, 12949, 21784, 5094, 108, 1546, 162, 3921, 26432, 17174, 20485, 1546, 11160, 34719, 51265], "temperature": 0, "avg_logprob": -0.05303288405796267, "compression_ratio": 1.2222222222222223, "no_speech_prob": 1.8607811472226565e-11}, {"id": 299, "seek": 83524, "start": 835.24, "end": 837.24, "text": "修改时间", "tokens": [50365, 7792, 106, 34490, 44848, 50465], "temperature": 0, "avg_logprob": -0.08650407576023188, "compression_ratio": 1.2150943396226415, "no_speech_prob": 1.916002252688731e-11}, {"id": 300, "seek": 83524, "start": 837.24, "end": 839.24, "text": "方便你来确认是否是你要修改", "tokens": [50465, 9249, 27364, 2166, 6912, 38114, 106, 7422, 97, 1541, 45334, 1541, 32085, 7792, 106, 34490, 50565], "temperature": 0, "avg_logprob": -0.08650407576023188, "compression_ratio": 1.2150943396226415, "no_speech_prob": 1.916002252688731e-11}, {"id": 301, "seek": 83524, "start": 839.24, "end": 841.24, "text": "或者引用的材料了", "tokens": [50565, 31148, 41301, 9254, 1546, 4422, 238, 33404, 2289, 50665], "temperature": 0, "avg_logprob": -0.08650407576023188, "compression_ratio": 1.2150943396226415, "no_speech_prob": 1.916002252688731e-11}, {"id": 302, "seek": 83524, "start": 841.24, "end": 841.24, "text": "", "tokens": [], "temperature": 0, "avg_logprob": -0.08650407576023188, "compression_ratio": 1.2150943396226415, "no_speech_prob": 1.916002252688731e-11, "words": []}, {"id": 303, "seek": 83524, "start": 841.24, "end": 845.24, "text": "那么以上就是本支影片的全部内容了", "tokens": [50665, 35693, 29497, 5620, 8802, 24400, 25373, 1546, 38714, 34742, 25750, 2289, 50865], "temperature": 0, "avg_logprob": -0.08650407576023188, "compression_ratio": 1.2150943396226415, "no_speech_prob": 1.916002252688731e-11}, {"id": 304, "seek": 83524, "start": 845.24, "end": 846.24, "text": "简单总结一下", "tokens": [50865, 11249, 222, 47446, 33440, 45641, 8861, 50915], "temperature": 0, "avg_logprob": -0.08650407576023188, "compression_ratio": 1.2150943396226415, "no_speech_prob": 1.916002252688731e-11}, {"id": 305, "seek": 83524, "start": 846.24, "end": 849.24, "text": "无论是在使用codex或者cloudcode", "tokens": [50915, 31364, 7422, 118, 1541, 3581, 22982, 9254, 22332, 87, 31148, 44495, 22332, 51065], "temperature": 0, "avg_logprob": -0.08650407576023188, "compression_ratio": 1.2150943396226415, "no_speech_prob": 1.916002252688731e-11}, {"id": 306, "seek": 83524, "start": 849.24, "end": 851.24, "text": "在任务没有想清楚之前啊", "tokens": [51065, 3581, 26443, 5087, 94, 17944, 7093, 38433, 32442, 4905, 51165], "temperature": 0, "avg_logprob": -0.08650407576023188, "compression_ratio": 1.2150943396226415, "no_speech_prob": 1.916002252688731e-11}, {"id": 307, "seek": 83524, "start": 851.24, "end": 853.24, "text": "要先问问题", "tokens": [51165, 4275, 10108, 22064, 34069, 51265], "temperature": 0, "avg_logprob": -0.08650407576023188, "compression_ratio": 1.2150943396226415, "no_speech_prob": 1.916002252688731e-11}, {"id": 308, "seek": 83524, "start": 853.24, "end": 855.24, "text": "资料太多的时候要先压缩", "tokens": [51265, 5266, 226, 33404, 9455, 6392, 49873, 4275, 10108, 5014, 233, 38109, 102, 51365], "temperature": 0, "avg_logprob": -0.08650407576023188, "compression_ratio": 1.2150943396226415, "no_speech_prob": 1.916002252688731e-11}, {"id": 309, "seek": 83524, "start": 855.24, "end": 857.24, "text": "需要调用工具时先确认计划", "tokens": [51365, 35748, 8897, 225, 9254, 23323, 39806, 15729, 10108, 38114, 106, 7422, 97, 7422, 94, 2437, 240, 51465], "temperature": 0, "avg_logprob": -0.08650407576023188, "compression_ratio": 1.2150943396226415, "no_speech_prob": 1.916002252688731e-11}, {"id": 310, "seek": 83524, "start": 857.24, "end": 859.24, "text": "再一步一步的执行", "tokens": [51465, 8623, 2257, 31429, 2257, 31429, 1546, 3416, 100, 8082, 51565], "temperature": 0, "avg_logprob": -0.08650407576023188, "compression_ratio": 1.2150943396226415, "no_speech_prob": 1.916002252688731e-11}, {"id": 311, "seek": 85924, "start": 859.24, "end": 861.24, "text": "本支影片主要想强调的是", "tokens": [50365, 8802, 24400, 25373, 13557, 4275, 7093, 5702, 118, 8897, 225, 24620, 50465], "temperature": 0, "avg_logprob": -0.07006191861802254, "compression_ratio": 1.2428571428571429, "no_speech_prob": 1.5216996065992028e-11}, {"id": 312, "seek": 85924, "start": 861.24, "end": 865.24, "text": "当前阶段我们与AI高效协作的模式", "tokens": [50465, 16233, 8945, 10034, 114, 28427, 15003, 940, 236, 48698, 12979, 43076, 5322, 237, 11914, 1546, 41908, 27584, 50665], "temperature": 0, "avg_logprob": -0.07006191861802254, "compression_ratio": 1.2428571428571429, "no_speech_prob": 1.5216996065992028e-11}, {"id": 313, "seek": 85924, "start": 865.24, "end": 867.24, "text": "我也相信随着AI的发展", "tokens": [50665, 27761, 35428, 10673, 237, 20708, 48698, 1546, 28926, 43491, 50765], "temperature": 0, "avg_logprob": -0.07006191861802254, "compression_ratio": 1.2428571428571429, "no_speech_prob": 1.5216996065992028e-11}, {"id": 314, "seek": 85924, "start": 867.24, "end": 869.24, "text": "我们将越来越无感化的使用AI", "tokens": [50765, 15003, 45456, 25761, 6912, 25761, 31364, 9709, 23756, 1546, 22982, 9254, 48698, 50865], "temperature": 0, "avg_logprob": -0.07006191861802254, "compression_ratio": 1.2428571428571429, "no_speech_prob": 1.5216996065992028e-11}, {"id": 315, "seek": 85924, "start": 869.24, "end": 874.24, "text": "那么这期用到的流程模板提示词或相关链接呢", "tokens": [50865, 35693, 5562, 16786, 9254, 4511, 1546, 27854, 29649, 41908, 43664, 20949, 25696, 5233, 235, 19780, 15106, 28053, 165, 241, 122, 14468, 6240, 51115], "temperature": 0, "avg_logprob": -0.07006191861802254, "compression_ratio": 1.2428571428571429, "no_speech_prob": 1.5216996065992028e-11}, {"id": 316, "seek": 85924, "start": 874.24, "end": 877.24, "text": "我都会整理到简介的个人资源库当中", "tokens": [51115, 1654, 7182, 12949, 27662, 13876, 4511, 11249, 222, 30312, 1546, 7549, 4035, 5266, 226, 47402, 6346, 241, 16233, 5975, 51265], "temperature": 0, "avg_logprob": -0.07006191861802254, "compression_ratio": 1.2428571428571429, "no_speech_prob": 1.5216996065992028e-11}, {"id": 317, "seek": 85924, "start": 877.24, "end": 879.24, "text": "如果这期视频对你有帮助", "tokens": [51265, 13119, 5562, 16786, 40656, 39752, 8713, 43320, 4845, 106, 37618, 51365], "temperature": 0, "avg_logprob": -0.07006191861802254, "compression_ratio": 1.2428571428571429, "no_speech_prob": 1.5216996065992028e-11}, {"id": 318, "seek": 85924, "start": 879.24, "end": 881.24, "text": "可以点个赞或者订阅频道", "tokens": [51365, 6723, 12579, 7549, 5266, 252, 31148, 7422, 95, 10034, 227, 39752, 6025, 51465], "temperature": 0, "avg_logprob": -0.07006191861802254, "compression_ratio": 1.2428571428571429, "no_speech_prob": 1.5216996065992028e-11}, {"id": 319, "seek": 85924, "start": 881.24, "end": 883.24, "text": "我是志川我们下期再见", "tokens": [51465, 15914, 44700, 27905, 15003, 4438, 16786, 44176, 51565], "temperature": 0, "avg_logprob": -0.07006191861802254, "compression_ratio": 1.2428571428571429, "no_speech_prob": 1.5216996065992028e-11}], "language": "zh"}