{
  "text": "当然这个思路会比较多,然后里面涉及到关于当代的AI数据分析系统的开发的一些基本要求,包括核心的技术选行等等。然后其中会有一些关于它历史的一些背景的这样的说明。这一块其实是给大家留一个完整的文字版的我们整个开发思路的这样的梳理。就是我们整个的AI数据分析这样的开发项目应该从哪个角度开始来进行思考。\n其实说实话\n像公开课要讲一个这么复杂的项目\n从基本业务背景开始进行梳理\n来进行思考\n然后一步一步来进行完成开发\n其实是一个比较难的一个事情\n所以这里我们刚刚是对着我们完整\n最终这个项目来进行讲解\n但实际上大家也可以通过\n看我这个文本\n里面有非常多的一些文本上的一些思考\n因为文本里面的讨论的问题\n其实很多时候会更加细致一些\n就比如说我们用户看到的这个事件流和系统真实的这个状态\n它是什么样的一个这个匹配的这个关系\n对不对\n这东西其实是你需要\n首先需要在自己脑子里面想清楚的\n然后呢\n包括啊\n什么这个多元数据接入啊\n和基础的这个数据基线啊\n是什么样的这个情况\n所谓的这个数据基线啊\n其实指的是我们需要建立好这个基线啊\n以防止未来每次分析的这个时候呢\n都修改原始数据啊\n导致你原始数据呢\n发生偏移啊\n导致你后续分析不稳啊\n实际上是这么样的一个要求\n然后包括什么业务知识\n需要这个分治\n对不对\n然后等等等等\n所谓这个业务知识\n这个分治指的是\n很多时候我们进行分析的时候\n会设计要大量的行业内的黑化\n或者专业术语\n这个时候要不然\n你就是去使用一些知识库的系统\n对不对\n来灵活的查阅\n关于当前的一些数据词典\n要不然的话\n就像我们现在设计的这样\n这个更加轻量的这个系统一样\n直接能使用SKU这样的策略\n灵活的在每次分析任务\n这个过程当中去加载\n他可能需要的\n这样一些黑卦等等等等\n然后在agent组织\nagent运行时的选取目选当中\n我们当然是考虑使用\n现在最新的\n最热门的deep agents\n来进行探索\n这个肯定是现在怎么说呢\n就是最为long chain\n整个技术生态里面\n最热门的这样的一个\nharness agent这样的系统\n借助deep agents\n实际上很多的工作\n你其实开发起来\n都会变得非常便捷\n比如说你要加载skill\n你要加载技艺系统\n你要加载本地的技术\n你要加载永久技艺等等\n像这些所有功能\n其实你借助deep agents\n基本上就是几行代码的这个事情都可以完成\n所以这里面基本上现在进行开发的时候\n首选肯定都是long chain的deep agents\n然后再往下你还需要\n就给自己去提供一整套数据分析这样的工具\n包括NL2 Circle的工具\n包括NL2 Python的工具\n包括这里面我们其实画的非常细\n比如说哪怕我们NL2 Circle\n对不对\n它也有很多组的这样的功能\n包括它还是一些受限的功能\n都是为了去防止原始的数据源\n比如说什么这个可视化探索是一个工具\n可视化是一个工具\n什么特计工程是一个工具\n分类回归居类\n建模是一个工具\n什么模型笼合是一个工具等等等等\n这里面其实我们是给\n是大家首先需要考虑清楚\n我们未来需要这些场景下\n你其实需要一个又一个各式各样的工具\n或者你把它封装成是一个skill\n去完成具体工作\n这点其实是非常非常重要的\n那skill多了\n当然你就需要有一个完整的\n这个skill的管理体系\n对不对\n然后同时最后我们整个数据分析的\n这样的一个产物或者你会非常核心的产品特点\n就是得有一个数据分析的这样的报告\n当然是对于这个数据分析的报告来说\n你自己脑子里也得想清楚\n这玩意儿这报告\n那这个不得合着我们当前的分析这个需求\n不断不断的来进行演进吗\n对不对\n所以我们这里其实有一个功能\n其实没有给大家看到\n实际上它有一个非常核心的\n也是我会觉得一个非常亮眼的功能\n就是这里面的数据分析报告\n它其实是一个类似于Canvas这样的功能\n你会发现\n其实我们的很多\n现在在设计\n设计AI产品的这个时候\n就我个人觉得\n尤其是咱们前期\n在设计产品的时候\n你说使用什么工具\n确实不是很重要\n但是这个业务理解\n和产品理解\n这点其实会非常非常重要\n这也是\n我在我们的\n实际的付费课程里面\n会有大量的篇幅\n讨论的这方面的内容\n当然这也是想\n跟很多同学说\n就很多很多同学伙伴\n会觉得说\n现在有了AI工具之后\n觉得自己就起飞了\n这什么东西都能做\n实际上你会发现\n很多东西做不了 尤其是如果你不了解的一些东西 你其实根本做不了啊\n甚至是比如说你如果根本不了解我们业务真实这样的需求和\n我们需要这个技术解决什么样的问题的时候 你做出来极有可能就是一堆漂亮的垃圾啊\n就是会出现这样的这个情况 你做的越多啊 这个产出的这个\n伤增就越多 所以我们这里啊 围绕这个数据分析报告啊 其实他有一个非常非常典型的业务场景\n就是我们实际上在去服务啊 这个业务团队在去生产数据分析报告的时候\n你会发现其实很难一步到位\n生产出非常满意的数据分析报告\n要不是这里有问题\n就是那里有问题\n不是这个地方没有分析对\n就是那个地方我还想再讨论一下\n那么这个分析报告它就很难\n说我一步到位直接给它生成\n然后直接来进行导出\n那它必然就会涉及到一个多轮迭代\n不断修改这样的过程\n那不断修改的过程\n你会需要知道是对于你当前的\n这一次的运行过程来说\n那你现在不断修改的\n多轮的数据分析报告\n首先你得想办法把它加载\n到你当前的对话上下文里面去\n对不对\n因为你才能够不断的去修改\n这个分析报告\n这是其一\n其二的话\n这个分析报告在产品前端的\n这个展示的这个时候\n它还有一个非常核心功能要求\n就是我们改了之后\n它就必须得在前端\n有一个具体的呈现\n并且你还需要人支持\n过往版本的这样的回溯\n对不对\n哎呀这么一看\n这个要做一个工业\n场景下可以用的这个产品\n好难\n确实有点复杂\n它还需要来进行回溯\n然后回溯了之后\n回滚了之后\n那你当前对话这个记忆\n是不是也需要配合着来进行回滚\n所以这里就会涉及到非常多的这个checkpoint\n然后根据某个基线\n然后重新诞生新的记忆\n这样的一整个的这个功能\n尤其是比如说我们现在报告回滚\n但是对话没有回滚\n你还需要灵活的在当时即时的拼接\n一个新的上下文出来\n给现在的agent运行室来进行使用\n所以这里面我们整个的数据分析报告的这个\n报告的这个功能\n我们在最开始梳理需求的时候\n实际上是做了一个\n把它看成是类似于像Germini的Canvas这样的功能\n大家知道Canvas对不对\n我们可以实时来进行修改\n它的代码就可以实际上发生变化\n然后我们前端的产品的页面和展示形态\n它就可以随时来发生变化\n并且它也是可以支持来进行回溯的\n可以在多个版本之间来进行回溯\n每次修改\n它就会新调整一版数据分析报告\n再修改\n就可以再新调整一个一版数据分析报告\n如果你觉得哪一版比较好\n你就直接回滚到哪一版\n然后再围要这一版再来进行修改\n也都是可以的\n所以我们这里其实采用了一整套\nCanvas的架构来去完成试据分析报告\n一整个的功能这样的设计\n好\n这一些我们说现在给大家提供的\n这个文档\n就是我们现在在进行当前\n这个agent开发的非常完整的需求文档\n和对应的核心技术的选型\n核心技术选型在这里\n这里就是核心技术选型\n围绕Deepseek\n围绕DeepseekVS正式版这个模型\n来进行的一整个技术的选行\n全部都在这里\n所以这个文档\n现在人家开发的时候\n是需要丢给你的Codex\n当然我们公开课\n也是可以直接丢给你的Codex\n来进行生成来进行使用\n但是你自个儿\n实际上在进行开发的时候\n如果面临一个新的项目\n你发现刚才所有的知识\n你都是需要\n在你自己脑子里先成型\n然后才能够很好的去\n跟未来的Codex来进行对话\n然后去完成各式各样项目的开发\n是这样的一个基本需求\n当然这里面我们现在是绘制了一个完整的蓝图\n然后接下来我们下面还有一些\n比如说什么架构判别的清单\n像这东西\n这东西其实就属于\n怎么说呢\n这个属于科外延展读的读物\n这个大家可以自己去看一下\n那么总之呢\n就是到这儿\n我们完整的产品的功能的需求\n跟我们底层的实现逻辑就全部都设理完了\n那么最后还差一步\n这步我们之后会在我们关科的课件里面给大家补上\n因为这部分现在后台还在渲染\n还没有上传上来\n现在换了Codex之后\nCodex其实没有其他什么问题都挺好\n就有点慢\n然后后面我们后面还会有一份材料\n是跟大家完整来讲解\n如何通过我们总共差不多是40轮左右的\n这样的提示\n从最开始现在给大家输入了\n这样的学习文档和技术选型的\n这样的文档开始\n然后一步一步一步完成我们当前的\n因为大家看 现在其实我们当前这个页面 对不对\n虽然能够感受到 肯定是AI做的 当然现在有哪个软件不是AI做的\n但是你会发现 AI做的软件 它确实还是有那么一点美感在里边了 对不对\n然后这个美感是怎么来的 就是通过这个WebDesign\n但我们刚刚其实所有讨论这个内容器 并没有涉及到任何的WebDesign这样的一个功能\n这些WebDesign这个技巧 我们到时候都会在我们的课程里边\n就是给大家这个课线里面\n到时候会有一组完整的\n这个提示的这样的一个心法\n当然我们也需要说明的是\n你具体拿到这样的心法\n和这样的一个提示\n最后能不能生成完全一样的结果\n这个其实不一定\n因为其实对于大模型来说\n它每次生成的\n这个内容都会存在一定的随机性\n但是我希望大家通过\n我们这节课的这个学习\n这么将近一个小时\n四五十分钟的这个学习\n最核心的呢\n是大家需要能够去\n看到一个完整的\nAI视频分析这样的一个产品\n它到底需要有哪一些核心功能\n以及它底层的这样的功能\n到底是如何去实现的\n然后同时在设计过程当中\n它的一些亮点\n就比如说底层的\n对不对\n数据资产跟Skill资产\n统一来进行管理\n然后每个绘画\n就是单独的一个新的项目\n然后同时在项目过程当中\n我们的交互的列表采用\nE-Chast这样的前端的插入设计\n和我们的数据分析的这样的报告\n采用类似Canvas\n这样的一个实时生成\n不断渲染多版本迭代\n然后多版本实时回滚\n并且能够来进行很好的维护的\n这样的一些开发跟设计的巧思和技巧\n这一点其实我是觉得说我们这堂课\n需要跟大家来进行分享\n然后同时我也会觉得大家可能\n接下来最有收获的这样的一个环节\n因为我觉得这部分大家去听\n现在视频上很多的课程应该是听不到的\n当然你说我现在疯狂的给我的Codex来进行提示\n一轮一轮给他提示\n这个其实倒并不会特别的复杂\n我们之后会有一个完整的课线给大家\n大家就可以对照的去看\n然后完成一轮轮的开发\nOK行\n那么到这儿\n我们现在跟大家讲解的关于AI数据分析的这样的一个系统\n其实这个系统属于一个练手的一个系统\n或者说大家如果想自己去做\n有一些简历项目\n是一个非常不错的一个练手的这样的一个项目\n但是如果大家还想更进一步的去完成\n更加复杂\n对不对\n这工业级的\n我们现在这个AI数据分析差不多是3万行到5万行代码\n这样的这个级别\n如果我们再成10倍\n比如30万行代码\n这样的更加复杂的工业级的\n这个agent开发项目的话\n那么我们今天公开课结束之前\n还是这样的打一波广告\n那么欢迎大家报名\n由我和沐浩老师\n还有志杰老师\n我们三位老师共同来主讲的\n大模型agent的应用开发实战课\n这样的一本复评课程\n那么这么可能总共呢\n是100个小时以上的完整的体系大课\n我们其实公开课\n确实很多时候讲的会比较快\n然后很多的内容呢\n其实没有办法一点一点\n带着大家来去来进行讲解\n包括之前的我们的这个codex\n很多的这个操作\n对吧\n其实没有办法实实的\n跟大家去演示说\n我敲这个就返回那个\n这样一整个流程\n其实也是因为我们是希望\n在一堂公开课里面\n去融合更多\n对大家有价值这样的信息\n但是确实我们公开课时间有限\n大家如果想进行更加深度\n给大家系统\n全面的学习的话\n那么这门体系大课非常适合你\n那么这门课程\n总共是一个100个小时以上的\n完整的体系大课\n能够帮大家零基础入门\n然后制造目前顶尖大厂的\nagent开发相关的岗位的\n50万年薪的\n这样的岗位的这个level\n那么这本课程里面\n其实我们会详细跟大家去介绍\n关于agent怎么样去上手来进行使用\n怎么样来进行开发\n现在的FDE\n这样的工作怎么样去推进\n就比如说我们今天来讨论\n关于AI设计分析师\n就是个非常不错的\n一个FDE的\n非常经典的一个FDE的\n前端部署的一个完整的\n这样的案例\n然后当然最核心的\n是我们的更加进阶的\n更加复杂的工业级的\n这样的agent怎么样来进行开发\n这道这门课程是一个体系的硬核大课\n帮大家360的无死角的全方位的去塑造\n你的agent的应用和开发的硬核干货的这样的能力\n那么这门课程总共是分成这么几个阶段\n首先第一个阶段是当大家agent开发入门\n这里面我们会跟大家详细来介绍\n关于agent的一系列入门级的这样的内容\n包括算法基础 编程基础 大模型基础\n其实这部分内容是不算入我们政客的课实的\n是作为额外的补充的内容给到大家\n是送给大家帮大家快速来进行一个入门\n然后紧接着第一个阶段\n我们会来讲解关于主流的智能体\n主流的智能体上手的实战\n那么这一支某智能体主要是指的是\nCloud Code Codex Open Cloud和Hermers Agent\n这么四个\n那么我们今天其实是浅浅的讨论了一下\n关于Codex的Agent怎么样来进行使用\n对不对\n那么在我们政客里面\n像Cloud Codex Open Cloud\nHermers Agent\n这些大家耳熟能详的\n现在非常顶尖的这样的Agent\n我们都会来进行详细深度的探讨上手使用\n然后同时我们还介绍一些核心的功能\n包括它基础的使用范式和基础的一些应用时间等等\n那么同时第二个阶段我们会进步来讲解关于Skeels的开发实战\n那么Skeels基本上是现在所有的我们在进行使用智能体的过程当中\n非常核心的并不可少的这样的一部分的功能和能力\n对不对我们会来讲解Skeels的基本原理\n我们会来讲解Skeels如何从内来进行开发\n包括顶尖的一些Skeels的实战\n包括一些应用场景\n包括工业级的Skeels开发流程\n那么紧接第三个阶段\n我们进入来讨论\n关于AI全站产品开发这样的入门\n这里面其实整个stage3\n就是对我们的全站的开发能力\n进行一轮快速的塑造\n对不对\n那么全站能力包括哪些\n当然包括最开始的需求梳理\n市场调研\n包括web design\nweb design是什么\n就是让你页面变得更加漂亮\n对不对\n好看美观交互起来\n就更加流畅等等\n这个是所谓的web design\n然后加入webcoding\n就完整这个项目开发\n这个是第三阶段\n我们会带大家走完一个完整的\n全站开发这样的链路\n当然我们说走完全站开发链路\n并不代表你的agent开发能力\n就能达到一个很高这样的水平\n所以整个第四个阶段\n我们会进一步的来围绕\n大家的agent开发的能力\n或者你的FDE的\n对不对\n业务理解\n跟你前沿部署这样的能力\n来进行系统性的这样的提升\n这里面就包括\n比如说我们会进一步来讲解\n关于一些基础的agent开发框架\n像Cose,Define,N8N\n包括一些REC框架\n包括运行式框架\n包括Harness框架\n包括我们最为核心的\n对于Agent开发工程师们来说\n七项核心能力\n包括Agent的管理\n包括AgenticREC\n包括记忆管理\n驾驭工程\n商业工程\n多智能体协作\n高效微调等等等等\n这一系列这样的一个能力\n对不对\n好\n那么紧接第五阶段\n就进步来讨论\n关于Agent的部署上线\n那么这个其实也是FDE现在要求的\n非常核心的一部分能力\n前沿部署\n你这个部署上线\n对吧\n这个运维持续监督评估优化\n这东西肯定是要会的\n所以我们在stage5就会来讲解\n关于技术理论\n步骤上线的方法\n容器化编排\n追踪运维和评估和优化\n好那么紧接第6个阶段\n我们进步来讨论webcoding的\n最顶尖的这样的一个核心技巧了\n包括文档驱动开发\n包括agent的自制循环\n包括多智能体协同\n包括AI自动化任务\n像这些顶尖的技巧\n说实话\n像这个顶尖的技巧\n如果用的好的话\n其实能够大程度成为你的巨大的杠杆\n去把你的一个小时抵过别人的10个小时\n开发这样的时间\n当然这个也是目前来说最难的\n一部分webcoding的\n进阶的这样的部分技巧\n这个其实在我们课程里面都会来进行详细介绍\n那么最后就是40家案例的这样的开发时代\n我们课程里面其实案例项目会非常多\n一方面既是我们课程是通过\n通过项目带大家去串联起\n底层的这样基础的知识\n来完成一个又一个阶段的学习\n然后同时我们这里提供了\n那么多的项目\n覆盖什么AI数据员工\n法律\n自媒体运营\nAI编程\n通用智能体\n智能客服\n数据分析和金融\n分析领域\n各个领域\n其实也是希望这样的一个项目\n拿到大家拿到手了之后\n接下来是可以直接上手来进行一个使用\n可以拆包即用\n或者你拿到就近的项目\n也可以迅速来进行定制化的二次开发\n来进行部署落地和来进行实现\n给大家未来的工作\n来提供一个巨大的便利\n当然我们现在这些项目\n所有的40多个项目里面\n已经20多个项目\n是加入到了我们现在的\n复翻agent playground里边\n这个是我们复翻AI社区里面的一个模块\n大家这里面能够看到很多很多\n我们的现在已经上线的\n这样的一个项目\n是支持大家可以直接的在线\n来进行一个实操\n然后来进行一个测试\n来进行一个练习等等等等\n都是可以直接在线来进行使用\n大家可以在我们报名课的学习之前\n就先感受一下\n我们现在这个项目\n到底都有哪一些核心的这样的功能\n比如大家现在看到\n实际上是一个Cloud Code的一个前端\n也是我们团队基于Cloud Code来进行二次开发\n最后创建了一个完整的交互这个前端\n这个属于顶尖agent的一个二次开发了\n再比如大家现在这里面看到的是一个SRE\n自愈是运维的这样的一个项目的前端\n然后它可以实时的去检测\n当前的整个系统的运行这样的故障\n然后简单故障\n直接自动来进行修复\n然后总结沉淀故障这样的原因\n提出缺乏意见\n或者复杂故障的直接上报预警等等\n一整个非常完整的这样的一些功能\n和一整个大家能看到的前端的一整套功能体系\n当然这里还有关于\n比如说我们的LMVK\n对不对\n基因知识图谱的\n这样的个文档检索增强这样的系统\n那么这个同样也是可以适用于企业里面\n这个十万行\n十万行\n甚至是百万行的\n这样的支付户检索的\n超大规模系统的\n这样的使用和应用\n那么我们这个复发agent\n我们的这个agent playground里面\n其实有很多相关的那些agent\n大家都可以来进行一些体验\n比如现在这里面看到的\n实际上是我们的一个\nAIHR智能的招聘入职管理\n培训绩效\n一整个链路的AI数据员工的\n一整个的这个项目的功能\n等等等等\n那么很多项目\n大家其实都可以在我们现在的\nagent playground 里面\n我们团队官网里面能够看到\n大家可以提前来体验一下\n看你学会了之后\n能够达到什么样的效果\n当然我们官网里面给大家提供这些项目\n其实都是一些演示\n只有一些在线的一些mooc数据\n供大家来进行点击交互的操作体验\n而真正完整的项目代码\n包括可以本地化\n私有部署和全部的功能\n是开放给我们的课程学员\n来进行一个使用\n当然我们现在\n我们今天晚上最后的时间\n是我们的第38期课程\n没错\n我们的课程已经开了38期了\n我们的课程已经有6年的时间\n2万多节课程\n7万多名学员\n现在是我们第38期课程\n我们38期课程的\n课程的封班的尾单的最后一天\n那么我们38期的课程\n其实是我们开了6年以来\n首次给我们的学员的同学\n提供了专属的课程产品\n这个产品是什么呢\n就大家先看到这个Fu-Fi Agent\n那么这个Fu-Fi Agent是什么东西呢\n它呢基本上就是我们现在啊\n整个团队全部的啊\n大模型agent开发的\n所有的知识的啊\n一个蒸留下来这样的产品啊\n这个复发agent\n它拥有一百万字的\n这样的一个非常复杂\n庞大的这样的一个知识库啊\n新加的现在所有的大模型agent开发\n和agent应用领域里面的\n所有的这个知识库文档\n然后同时呢\n这个agent里面还融合了\n我们团队啊\n现在这在陆续上线的\n400多个不同类型的啊\n完整覆盖\n我们现在agent开发全部流程的\n这样的一系列的这个skill\n然后呢\n对于我们当前的这个agent来说\n有了这么多能力之后\n这个agent一方面啊\n是可以辅助大家来进行未来的这个学习\n就比如说我们现在啊\n整个38期所有的课程的课件啊\n都是通过在线的这个方式啊\n直接跟大家来进行同步\n大家就可以在我们现在的这个学习平台上呢\n来进行一个啊\n学习了\n然后同时右边啊\n是不是看得很熟悉\n对不对啊\n这个AI九天老师啊\n还可以帮你近24小时\n实实在进打仪\n然后同时呢\n你还可以啊\n就是我们当前这个学习系统里边的\n学习路径这样的规划的功能啊\n来进来设置好你的学习目标\n和啊来进行实时的\n你当前能力的这样的一个测试\n然后他呢可以给你规划好\n一个完整的学习的这样的一个链路\n那这个复化agent的一方面功能\n是辅助你来进行学习\n那么另外一方面功能呢\n也是辅助啊\n你可以啊来更好地去开发你自己的项目\n在我们的复化agent的里边啊\n其实我们是融合了目前所有的啊\n我们的这一系列agent的啊\n这个项目的这个模板\n然后呢\n接触复发agent\n其实你可以给我们团队任何的\n这样的一个课程里面\n这个项目呢\n都可以一键啊\n就可以来进行部署\n然后呢\n也可以一键呢\n来进行对应的啊\n项目的迁移和二次开发\n都是可以的\n甚至你还可以直接啊\n列借助我们复发agent里面\n这样的一个命令行\n这样的功能\n直接呢\n去完成一些更加复杂的agent\n项目开发啊\n这个呢\n是可以辅助大家来进行开发的\n并且同时我们当前复发agent\n也是支持\n他自己上传一些自己的这个知识库\n融合到整个的当前这个知识库体系里边来\n同时我们现在所有的这些Skills\n也是可以直接的本地下载\n然后可以适配到你当前的Cloud Code\n或者Codex里面去来进行运行\n当然它也是可以直接的在线\n来进行运行和开发的\n那么大家现在看到的这个页面\n实际上就是我们复发Agent的一个在线的\n一个开发的一个这个页面\n你是可以利用它就像你去操作Codex一样\n去完成一些比较复杂的agent开发的\n是完全没有问题的\n并且我们的复版agent是持续更新的\n然后同时也是可以本地部署的\n那么大家现在课程动态\n我们每期每一次新增的课程内容\n都是会直接同步给各位的agent\n大家就可以直接利用我们软件\n然后就可以直接同步我们当前的课件\n然后或者我们有哪些新的功能这样的更新\n大家也可以直接使用我们软件\n去完成对应功能的更新\n那么这个软件\n我们说实话\n其实它并不是一个这个\n怎么说呢\n并不属于我们课程里边的\n这样的功能的这个范畴\n我们之所以给大家制作这个软件\n也是希望能够给大家提供更好的学习体验\n和提供更加便捷的开发的这样的一个流程\n尤其是能够让很多我们可能不太熟悉\n咱们agent开发这个同学\n也能够用好用的用的这个软件\n迅速的去完成一些比较复杂的工业级的agent开发\n但是这个软件确实我们花了很长时间来进行这个研发\n也投入很大的这个成本\n所以我们从未来\n也就是明天39期开始\n是会全面的收费的\n是会有1000块钱一期的\n这样的基本定价\n但是现在确实首次推出\n是免费赠送给我们38期\n所有的学员\n所以今天晚上大家如果\n想报名我们的课程的话\n还有最后的机会\n可以抢到我们38期的\n最后的尾单的名额\n那么这个名额不仅仅\n是由我们整个38期课程里面\n最低的特价\n也是半价这样的优惠\n然后同时也是可以享受到\n我们刚刚看到的这样的一个复犯agent\n这个agent免费的赠送的\n这样的服务的\n并且我们今天晚上\n总共实习应该还剩最后两席了\n还有最后\n还是最后两席\n所以大家如果对我们客户感兴趣的话\n抓紧时间扫描\n现在屏幕当中二维码\n添加我们的助教老师\n就可以看到我们现在\n38期全部的课程内容\n和现在正在进行特会活动\n以及尾单上车能够获赠的\n我们现在复犯agent\n当然了\n大家可能会担心\n我们38期结束了\n39期就开始了\n39期会不会有新的内容\n对不对\n那报名38期\n是不是就没有办法享受\n我们也可以提前给大家预告一下我们397会新增什么\n像这个Deepseek V4或者这个K3像这模型肯定是会讲\n但这些其实都是属于基础内容\n更多的我们会来介绍\n比如说这个PyAgent和比如现在的这个马上\n这个Deepseek他们要出的DeepseekHardinessAgent等等等等\n以及未来的这个GPT6模型\n那么整个397我们其实会有更\n还会有其他的额外的一些案例的加入\n包括397我们也围绕着现在的这个4个旗舰项目\n实际上是进行了一定程度上这样的翻新\n所以大家现在报名387是可以获赠3839\n以及全部这个内容\n大家不用担心\n这个未来新的东西学不到了\n然后同时呢\n现在报名\n因为是可以解锁全部387的内容\n你也可以快速的就学到后面的这样的一些这个案例\n然后呢\n也可以快速的\n对不对\n如果要准备我们接下来的这个金九\n金九银食这个招聘的话\n那确实需要提前来进行规划\n可以迅速学到案例\n然后呢\n我们也会给大家提供对应的简单模板\n帮助大家更快速的去完成\n你未来的这个职业晋升\n好 那么大家现在如果对这门看着看\n感兴趣的话 欢迎大家扫描\n现在屏幕当中二维码\n我们还有最后两席\n听见我们助教老师\n然后呢 回复大模型\n就能看到这门课程完整的课程介绍\n和现在正在进行的特别活动了\n当然除此之外\n我们还有三门额外的课程\n分别是AI编程课\nOpenCloud应用课\n和大模型原理跟训练实战课\n这三门课实际上是\n另外的三个不同的这个方向了\n就比如说AI编程\n在编程的这个课程\n然后呢\nOpen Cloud\n主要是在讲解\nOpen Cloud的啊\n这样的使用\n和进阶的这样的技巧\n然后大模型原理\n跟训练实战课啊\n这么可能主要是去讲解啊\n深度学习底层的\n深度学习底层这样的原理啊\n包括像Transformer这样的原理\n然后呢\n我们会一路讲解到啊\n像现在比较顶尖的\n这样那些开源大模型\n底层的训练策略\n我们也会从零到一呢\n带大家去完成一些啊\n底层的大模型的\n这样的训练的工作啊\n所以呢\n这下面三门课程啊\n不管是哪门课程感兴趣\n都可以扫描现在屏幕当中\n二维码天降能作家老师\n来进行一个咨询\n好\n那么我们本期的公开课\n差不多到这儿就全部结束了\n也非常感谢大家长期的\n关注陪伴和支持\n当然其实我们的课程\n其实一直以来\n大家会发现\n对不对\n既不打广告\n然后同时也不打所谓的\n名师这样的抬头\n其实所有的\n大家购买或者报名\n我们课程的钱\n都是为大家自己的\n最后能够获得的优质内容去买单\n其实我相信大家今天看到我们的课程\n或者愿意来咨询我们的课程\n其实多少都是看到了\n我们团队制作的一些内容\n觉得不错\n然后愿意来进行咨询\n其实大家可能不知道的是\n对我们现在市面上\n其实也有很多的一些做内容的\n做课程的这样的团队\n其实会有大量的广告\n或者是很多的一些过度的包装和宣传在里边\n那么大家很多的课程里面\n自然就会有很多的一些溢价\n可能大家可能不知道\n现在的很多广告投放\n可能你去报名一门课程\n课程里面\n甚至40%\n甚至50%的钱\n都是投到广告投放这样的领域\n那这样的课程怎么样能够保证\n你能够学到很优质这样的内容\n对不对\n肯定是没有办法的\n所以我们课程相信\n其实一直以来都是通过口碑来获课\n是完全没有其他任何的这样的成本\n我们也是相信\n只有更好内容\n才能够帮助大家进行更好的学习\n我们团队的宗旨\n是希望给每个人提供最优质的技术赋能\n那么我们也希望这本课程能够帮到\n现在正在进行Agent开发\n或者想要去学习我们大模型AI的这方面的技术\n或者接下来经就引识想要去求职\n想要在职业上更进一步的同学\n好那么我们本期更快课的内容到这就全部结束了\n我们下一期更快课再见",
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      "text": "当然这个思路会比较多,然后里面涉及到关于当代的AI数据分析系统的开发的一些基本要求,包括核心的技术选行等等。然后其中会有一些关于它历史的一些背景的这样的说明。这一块其实是给大家留一个完整的文字版的我们整个开发思路的这样的梳理。就是我们整个的AI数据分析这样的开发项目应该从哪个角度开始来进行思考。",
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      "text": "像公开课要讲一个这么复杂的项目",
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      "text": "来进行思考",
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      "text": "然后一步一步来进行完成开发",
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      "text": "其实是一个比较难的一个事情",
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      "text": "所以这里我们刚刚是对着我们完整",
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      "text": "最终这个项目来进行讲解",
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      "text": "但实际上大家也可以通过",
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      "text": "看我这个文本",
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      "text": "里面有非常多的一些文本上的一些思考",
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      "text": "其实很多时候会更加细致一些",
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      "text": "就比如说我们用户看到的这个事件流和系统真实的这个状态",
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      "start": 57.6,
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      "text": "它是什么样的一个这个匹配的这个关系",
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      "start": 59.86,
      "end": 60.42,
      "text": "对不对",
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      "text": "这东西其实是你需要",
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      "start": 61.6,
      "end": 63.8,
      "text": "首先需要在自己脑子里面想清楚的",
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      "start": 63.8,
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      "text": "然后呢",
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    {
      "start": 64.9,
      "end": 65.72,
      "text": "包括啊",
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    {
      "start": 65.72,
      "end": 67.14,
      "text": "什么这个多元数据接入啊",
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    {
      "start": 67.14,
      "end": 68.62,
      "text": "和基础的这个数据基线啊",
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    {
      "start": 68.62,
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      "text": "是什么样的这个情况",
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    {
      "start": 69.68,
      "end": 71.6,
      "text": "所谓的这个数据基线啊",
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    {
      "start": 71.6,
      "end": 74.1,
      "text": "其实指的是我们需要建立好这个基线啊",
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    {
      "start": 74.1,
      "end": 75.98,
      "text": "以防止未来每次分析的这个时候呢",
      "chunk": 0,
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    {
      "start": 75.98,
      "end": 77.1,
      "text": "都修改原始数据啊",
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    {
      "start": 77.1,
      "end": 77.98,
      "text": "导致你原始数据呢",
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    {
      "start": 77.98,
      "end": 78.9,
      "text": "发生偏移啊",
      "chunk": 0,
      "language": "zh",
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      "no_speech_prob": 2.8828611373099555e-11,
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    {
      "start": 78.9,
      "end": 80.18,
      "text": "导致你后续分析不稳啊",
      "chunk": 0,
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      "no_speech_prob": 2.8828611373099555e-11,
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    {
      "start": 80.18,
      "end": 81.64,
      "text": "实际上是这么样的一个要求",
      "chunk": 0,
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      "no_speech_prob": 2.8828611373099555e-11,
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    {
      "start": 81.64,
      "end": 83.44,
      "text": "然后包括什么业务知识",
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      "no_speech_prob": 2.6342971207182764e-11,
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    {
      "start": 83.44,
      "end": 84.94,
      "text": "需要这个分治",
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    {
      "start": 84.94,
      "end": 85.66,
      "text": "对不对",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.138599853515625,
      "no_speech_prob": 2.6342971207182764e-11,
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    {
      "start": 85.66,
      "end": 87.36,
      "text": "然后等等等等",
      "chunk": 0,
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    {
      "start": 87.36,
      "end": 88.26,
      "text": "所谓这个业务知识",
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      "text": "关于当前的一些数据词典",
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      "text": "像这些所有功能",
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      "text": "或者你把它封装成是一个skill",
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      "text": "这点其实是非常非常重要的",
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      "text": "当然你就需要有一个完整的",
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      "text": "对不对",
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      "text": "然后同时最后我们整个数据分析的",
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      "start": 196.8,
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      "text": "这样的一个产物或者你会非常核心的产品特点",
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      "text": "当然是对于这个数据分析的报告来说",
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      "text": "你自己脑子里也得想清楚",
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      "text": "那这个不得合着我们当前的分析这个需求",
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      "text": "不断不断的来进行演进吗",
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      "start": 212.96,
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      "text": "其实没有给大家看到",
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      "text": "实际上它有一个非常核心的",
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      "text": "也是我会觉得一个非常亮眼的功能",
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      "text": "就是这里面的数据分析报告",
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      "text": "它其实是一个类似于Canvas这样的功能",
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      "text": "设计AI产品的这个时候",
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      "text": "尤其是咱们前期",
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      "text": "你说使用什么工具",
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      "text": "这点其实会非常非常重要",
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      "text": "实际的付费课程里面",
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      "text": "讨论的这方面的内容",
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      "start": 249.26,
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      "text": "觉得自己就起飞了",
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      "text": "这什么东西都能做",
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      "text": "伤增就越多 所以我们这里啊 围绕这个数据分析报告啊 其实他有一个非常非常典型的业务场景",
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      "text": "就是我们实际上在去服务啊 这个业务团队在去生产数据分析报告的时候",
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      "text": "你会发现其实很难一步到位",
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      "text": "生产出非常满意的数据分析报告",
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      "text": "说我一步到位直接给它生成",
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      "text": "这个分析报告",
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      "text": "这个分析报告在产品前端的",
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      "text": "这个要做一个工业",
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      "text": "把它看成是类似于像Germini的Canvas这样的功能",
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      "text": "它就会新调整一版数据分析报告",
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      "text": "再修改",
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    {
      "start": 385.52,
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      "text": "就可以再新调整一个一版数据分析报告",
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      "text": "如果你觉得哪一版比较好",
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      "start": 388.46,
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      "start": 390.26,
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      "text": "然后再围要这一版再来进行修改",
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      "text": "也都是可以的",
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      "text": "所以我们这里其实采用了一整套",
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      "start": 394.5,
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      "start": 397.14,
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      "text": "一整个的功能这样的设计",
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      "text": "这一些我们说现在给大家提供的",
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      "start": 405.1,
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      "text": "这个agent开发的非常完整的需求文档",
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      "start": 407.92,
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      "text": "和对应的核心技术的选型",
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      "text": "围绕Deepseek",
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      "start": 461.16,
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      "text": "这个属于科外延展读的读物",
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      "text": "就是到这儿",
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      "text": "我们完整的产品的功能的需求",
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      "text": "这步我们之后会在我们关科的课件里面给大家补上",
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      "text": "还没有上传上来",
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      "start": 494.52,
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      "text": "这样的提示",
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      "start": 495.64,
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      "text": "从最开始现在给大家输入了",
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      "start": 497.74,
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      "text": "这样的学习文档和技术选型的",
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      "start": 499.8,
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      "text": "这样的文档开始",
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      "start": 501.46,
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      "text": "然后一步一步一步完成我们当前的",
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      "text": "因为大家看 现在其实我们当前这个页面 对不对",
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      "start": 523.955,
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      "text": "虽然能够感受到 肯定是AI做的 当然现在有哪个软件不是AI做的",
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      "start": 528.155,
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      "text": "但是你会发现 AI做的软件 它确实还是有那么一点美感在里边了 对不对",
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      "text": "然后这个美感是怎么来的 就是通过这个WebDesign",
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      "text": "但我们刚刚其实所有讨论这个内容器 并没有涉及到任何的WebDesign这样的一个功能",
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      "text": "这些WebDesign这个技巧 我们到时候都会在我们的课程里边",
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      "start": 547.675,
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      "text": "就是给大家这个课线里面",
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      "start": 549.115,
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      "text": "到时候会有一组完整的",
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      "start": 550.515,
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      "text": "这个提示的这样的一个心法",
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      "text": "你具体拿到这样的心法",
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      "text": "和这样的一个提示",
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      "text": "最后能不能生成完全一样的结果",
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      "text": "这个其实不一定",
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      "start": 559.755,
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      "text": "它每次生成的",
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    {
      "start": 561.235,
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      "text": "这个内容都会存在一定的随机性",
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      "text": "但是我希望大家通过",
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      "text": "我们这节课的这个学习",
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      "start": 566.315,
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      "text": "这么将近一个小时",
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    {
      "start": 567.995,
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      "text": "四五十分钟的这个学习",
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      "start": 569.575,
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      "text": "最核心的呢",
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      "text": "是大家需要能够去",
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      "start": 572.195,
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      "text": "看到一个完整的",
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    {
      "start": 573.435,
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      "text": "AI视频分析这样的一个产品",
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      "start": 574.775,
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      "text": "它到底需要有哪一些核心功能",
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      "text": "以及它底层的这样的功能",
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      "text": "到底是如何去实现的",
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      "text": "然后同时在设计过程当中",
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      "text": "它的一些亮点",
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      "start": 584.115,
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      "text": "就比如说底层的",
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    {
      "start": 585.435,
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      "text": "对不对",
      "chunk": 1,
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    {
      "start": 585.955,
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      "text": "数据资产跟Skill资产",
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    {
      "start": 587.535,
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      "text": "统一来进行管理",
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      "start": 588.375,
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      "text": "然后每个绘画",
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    {
      "start": 589.175,
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      "text": "就是单独的一个新的项目",
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      "start": 590.295,
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      "text": "然后同时在项目过程当中",
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    {
      "start": 592.075,
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      "text": "我们的交互的列表采用",
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    {
      "start": 595.155,
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      "text": "E-Chast这样的前端的插入设计",
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    {
      "start": 597.795,
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      "text": "和我们的数据分析的这样的报告",
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    {
      "start": 600.155,
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      "text": "采用类似Canvas",
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      "start": 601.195,
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      "text": "这样的一个实时生成",
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    {
      "start": 602.495,
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      "text": "不断渲染多版本迭代",
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    {
      "start": 603.835,
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      "text": "然后多版本实时回滚",
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    {
      "start": 606.315,
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      "text": "并且能够来进行很好的维护的",
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    {
      "start": 608.535,
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      "text": "这样的一些开发跟设计的巧思和技巧",
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    {
      "start": 611.575,
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      "text": "这一点其实我是觉得说我们这堂课",
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    {
      "start": 613.475,
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      "text": "需要跟大家来进行分享",
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    {
      "start": 614.655,
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      "text": "然后同时我也会觉得大家可能",
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    },
    {
      "start": 616.575,
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      "text": "接下来最有收获的这样的一个环节",
      "chunk": 1,
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    {
      "start": 620.015,
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      "text": "因为我觉得这部分大家去听",
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    {
      "start": 621.655,
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      "text": "现在视频上很多的课程应该是听不到的",
      "chunk": 1,
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      "no_speech_prob": 3.452091043576466e-11,
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    },
    {
      "start": 624.015,
      "end": 627.355,
      "text": "当然你说我现在疯狂的给我的Codex来进行提示",
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      "text": "我们之后会有一个完整的课线给大家",
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      "text": "大家就可以对照的去看",
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      "text": "然后完成一轮轮的开发",
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      "text": "OK行",
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      "text": "那么到这儿",
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      "text": "我们现在跟大家讲解的关于AI数据分析的这样的一个系统",
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      "text": "或者说大家如果想自己去做",
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      "text": "是一个非常不错的一个练手的这样的一个项目",
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      "text": "对不对",
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    {
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      "text": "我们现在这个AI数据分析差不多是3万行到5万行代码",
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      "text": "这样的这个级别",
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      "start": 661.555,
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      "text": "如果我们再成10倍",
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      "text": "比如30万行代码",
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      "text": "这样的更加复杂的工业级的",
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      "text": "这个agent开发项目的话",
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    {
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      "text": "还是这样的打一波广告",
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      "text": "那么欢迎大家报名",
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      "text": "由我和沐浩老师",
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      "text": "还有志杰老师",
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      "text": "我们三位老师共同来主讲的",
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    {
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      "text": "大模型agent的应用开发实战课",
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      "start": 677.355,
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      "text": "这样的一本复评课程",
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      "text": "那么这么可能总共呢",
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    },
    {
      "start": 679.655,
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      "text": "是100个小时以上的完整的体系大课",
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      "text": "然后很多的内容呢",
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      "text": "其实没有办法一点一点",
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      "text": "带着大家来去来进行讲解",
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      "text": "包括之前的我们的这个codex",
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      "text": "很多的这个操作",
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      "text": "对吧",
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      "text": "其实没有办法实实的",
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      "text": "我敲这个就返回那个",
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      "text": "这样一整个流程",
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      "text": "其实也是因为我们是希望",
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    {
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      "text": "在一堂公开课里面",
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      "text": "去融合更多",
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    {
      "start": 703.175,
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      "text": "对大家有价值这样的信息",
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      "text": "但是确实我们公开课时间有限",
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    {
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    {
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      "text": "给大家系统",
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    {
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      "text": "全面的学习的话",
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    {
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      "text": "那么这门体系大课非常适合你",
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    {
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    {
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      "text": "总共是一个100个小时以上的",
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    {
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      "text": "完整的体系大课",
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    {
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      "text": "能够帮大家零基础入门",
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    {
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      "text": "然后制造目前顶尖大厂的",
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    {
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      "text": "agent开发相关的岗位的",
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      "text": "50万年薪的",
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      "text": "这样的岗位的这个level",
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      "text": "那么这本课程里面",
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      "text": "其实我们会详细跟大家去介绍",
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      "text": "关于agent怎么样去上手来进行使用",
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      "text": "怎么样来进行开发",
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      "text": "现在的FDE",
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      "text": "这样的工作怎么样去推进",
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      "text": "就比如说我们今天来讨论",
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      "text": "关于AI设计分析师",
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      "text": "就是个非常不错的",
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      "text": "一个FDE的",
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    {
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      "text": "非常经典的一个FDE的",
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    {
      "start": 741.475,
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      "text": "前端部署的一个完整的",
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      "text": "这样的案例",
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      "text": "然后当然最核心的",
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      "text": "更加复杂的工业级的",
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      "text": "这样的agent怎么样来进行开发",
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      "text": "这道这门课程是一个体系的硬核大课",
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      "start": 754.815,
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      "text": "帮大家360的无死角的全方位的去塑造",
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      "text": "你的agent的应用和开发的硬核干货的这样的能力",
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      "text": "首先第一个阶段是当大家agent开发入门",
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      "text": "关于agent的一系列入门级的这样的内容",
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      "text": "包括算法基础 编程基础 大模型基础",
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      "text": "其实这部分内容是不算入我们政客的课实的",
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      "text": "是作为额外的补充的内容给到大家",
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      "text": "是送给大家帮大家快速来进行一个入门",
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      "text": "主流的智能体上手的实战",
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      "text": "那么这一支某智能体主要是指的是",
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    {
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      "text": "Cloud Code Codex Open Cloud和Hermers Agent",
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      "text": "这么四个",
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    {
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      "text": "那么我们今天其实是浅浅的讨论了一下",
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      "text": "关于Codex的Agent怎么样来进行使用",
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      "text": "对不对",
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      "text": "像Cloud Codex Open Cloud",
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      "text": "这些大家耳熟能详的",
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      "text": "现在非常顶尖的这样的Agent",
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      "text": "我们都会来进行详细深度的探讨上手使用",
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      "text": "然后同时我们还介绍一些核心的功能",
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      "text": "包括它基础的使用范式和基础的一些应用时间等等",
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    {
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      "text": "那么同时第二个阶段我们会进步来讲解关于Skeels的开发实战",
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      "text": "那么Skeels基本上是现在所有的我们在进行使用智能体的过程当中",
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      "start": 824.455,
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      "text": "非常核心的并不可少的这样的一部分的功能和能力",
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      "text": "对不对我们会来讲解Skeels的基本原理",
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      "text": "我们会来讲解Skeels如何从内来进行开发",
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      "start": 832.195,
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      "text": "包括顶尖的一些Skeels的实战",
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      "start": 834.515,
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      "text": "包括一些应用场景",
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      "text": "包括工业级的Skeels开发流程",
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      "compression_ratio": 1.6236263736263736,
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      "start": 837.395,
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      "text": "那么紧接第三个阶段",
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      "text": "我们进入来讨论",
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      "start": 840.295,
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      "text": "关于AI全站产品开发这样的入门",
      "chunk": 1,
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      "text": "就是对我们的全站的开发能力",
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      "start": 848.595,
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      "text": "进行一轮快速的塑造",
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      "start": 851.755,
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      "text": "对不对",
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      "text": "那么全站能力包括哪些",
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      "text": "当然包括最开始的需求梳理",
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      "text": "市场调研",
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      "text": "包括web design",
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      "text": "web design是什么",
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      "text": "就是让你页面变得更加漂亮",
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      "text": "对不对",
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      "text": "好看美观交互起来",
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      "text": "就更加流畅等等",
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      "text": "这个是所谓的web design",
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      "start": 866.495,
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      "text": "然后加入webcoding",
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      "start": 867.575,
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      "text": "就完整这个项目开发",
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      "text": "我们会带大家走完一个完整的",
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      "text": "全站开发这样的链路",
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      "text": "并不代表你的agent开发能力",
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      "text": "就能达到一个很高这样的水平",
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      "text": "所以整个第四个阶段",
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      "text": "大家的agent开发的能力",
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      "text": "或者你的FDE的",
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    {
      "start": 884.555,
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      "text": "对不对",
      "chunk": 1,
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      "text": "业务理解",
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      "text": "跟你前沿部署这样的能力",
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    {
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      "text": "来进行系统性的这样的提升",
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      "text": "这里面就包括",
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      "text": "比如说我们会进一步来讲解",
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      "text": "关于一些基础的agent开发框架",
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      "text": "包括一些REC框架",
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      "text": "包括运行式框架",
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      "text": "包括Harness框架",
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      "text": "包括我们最为核心的",
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      "text": "对于Agent开发工程师们来说",
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      "start": 903.775,
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      "text": "七项核心能力",
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      "text": "包括Agent的管理",
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      "text": "包括AgenticREC",
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      "text": "包括记忆管理",
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      "text": "驾驭工程",
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      "text": "商业工程",
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      "start": 908.675,
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      "text": "多智能体协作",
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      "start": 909.335,
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      "text": "高效微调等等等等",
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      "text": "这一系列这样的一个能力",
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      "start": 912.235,
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      "text": "对不对",
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      "text": "好",
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      "text": "那么紧接第五阶段",
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      "start": 913.875,
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      "text": "就进步来讨论",
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      "start": 914.715,
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      "text": "关于Agent的部署上线",
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      "text": "那么这个其实也是FDE现在要求的",
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    {
      "start": 917.915,
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      "text": "非常核心的一部分能力",
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      "text": "前沿部署",
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      "text": "你这个部署上线",
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      "start": 920.595,
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      "text": "对吧",
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      "start": 920.895,
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      "text": "这个运维持续监督评估优化",
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      "text": "这东西肯定是要会的",
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      "text": "关于技术理论",
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      "text": "步骤上线的方法",
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      "text": "好那么紧接第6个阶段",
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      "text": "实际上是一个Cloud Code的一个前端",
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      "text": "当前的整个系统的运行这样的故障",
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      "text": "然后总结沉淀故障这样的原因",
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      "text": "或者复杂故障的直接上报预警等等",
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      "text": "一整个非常完整的这样的一些功能",
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      "text": "和一整个大家能看到的前端的一整套功能体系",
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      "text": "这样的个文档检索增强这样的系统",
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      "text": "这个十万行",
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      "text": "这样的支付户检索的",
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      "text": "其实有很多相关的那些agent",
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      "text": "AIHR智能的招聘入职管理",
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      "text": "一整个链路的AI数据员工的",
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      "text": "一整个的这个项目的功能",
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      "text": "等等等等",
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      "text": "大家其实都可以在我们现在的",
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      "text": "我们团队官网里面能够看到",
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      "text": "大家可以提前来体验一下",
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      "text": "看你学会了之后",
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      "text": "能够达到什么样的效果",
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      "text": "当然我们官网里面给大家提供这些项目",
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      "text": "其实都是一些演示",
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      "text": "只有一些在线的一些mooc数据",
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      "text": "400多个不同类型的啊",
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      "text": "然后同时右边啊",
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      "text": "学习路径这样的规划的功能啊",
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      "text": "我们的这一系列agent的啊",
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      "text": "同时我们现在所有的这些Skills",
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      "text": "当然它也是可以直接的在线",
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      "text": "那么大家现在看到的这个页面",
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      "text": "实际上就是我们复发Agent的一个在线的",
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      "text": "你是可以利用它就像你去操作Codex一样",
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      "text": "最后的尾单的名额",
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      "text": "那么这个名额不仅仅",
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      "text": "总共实习应该还剩最后两席了",
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      "text": "还是最后两席",
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      "text": "所以大家如果对我们客户感兴趣的话",
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      "text": "抓紧时间扫描",
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    {
      "start": 1428.301,
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      "text": "现在屏幕当中二维码",
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      "text": "添加我们的助教老师",
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      "text": "就可以看到我们现在",
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    {
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      "text": "38期全部的课程内容",
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      "text": "以及尾单上车能够获赠的",
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      "text": "我们现在复犯agent",
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      "text": "当然了",
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      "text": "大家可能会担心",
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      "start": 1440.861,
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      "text": "我们38期结束了",
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      "text": "39期就开始了",
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      "start": 1443.221,
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      "text": "39期会不会有新的内容",
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      "start": 1444.821,
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      "text": "对不对",
      "chunk": 2,
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      "start": 1445.221,
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      "text": "那报名38期",
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    {
      "start": 1446.641,
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      "text": "是不是就没有办法享受",
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      "start": 1462.261,
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      "text": "我们也可以提前给大家预告一下我们397会新增什么",
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      "no_speech_prob": 5.448210285696753e-11,
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      "start": 1464.501,
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      "text": "像这个Deepseek V4或者这个K3像这模型肯定是会讲",
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      "start": 1468.901,
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      "text": "但这些其实都是属于基础内容",
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    {
      "start": 1470.561,
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      "text": "更多的我们会来介绍",
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    {
      "start": 1471.801,
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      "text": "比如说这个PyAgent和比如现在的这个马上",
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    {
      "start": 1477.241,
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      "text": "这个Deepseek他们要出的DeepseekHardinessAgent等等等等",
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      "start": 1480.261,
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      "text": "以及未来的这个GPT6模型",
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      "start": 1482.161,
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      "text": "那么整个397我们其实会有更",
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      "start": 1484.621,
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      "text": "还会有其他的额外的一些案例的加入",
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      "start": 1487.261,
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      "text": "包括397我们也围绕着现在的这个4个旗舰项目",
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    {
      "start": 1491.041,
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      "text": "实际上是进行了一定程度上这样的翻新",
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    },
    {
      "start": 1493.401,
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      "text": "所以大家现在报名387是可以获赠3839",
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      "no_speech_prob": 2.988467806552819e-11,
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    {
      "start": 1497.181,
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      "text": "以及全部这个内容",
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      "start": 1498.161,
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      "text": "大家不用担心",
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      "start": 1498.941,
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      "text": "这个未来新的东西学不到了",
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      "text": "然后同时呢",
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      "text": "现在报名",
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    {
      "start": 1502.801,
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      "text": "因为是可以解锁全部387的内容",
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      "start": 1505.121,
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      "text": "你也可以快速的就学到后面的这样的一些这个案例",
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      "start": 1508.281,
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      "text": "然后呢",
      "chunk": 3,
      "language": "zh",
      "avg_logprob": -0.1359443471889303,
      "no_speech_prob": 2.988467806552819e-11,
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    {
      "start": 1508.901,
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      "text": "也可以快速的",
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    {
      "start": 1509.801,
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      "text": "对不对",
      "chunk": 3,
      "language": "zh",
      "avg_logprob": -0.1359443471889303,
      "no_speech_prob": 2.988467806552819e-11,
      "compression_ratio": 1.5329512893982808,
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    },
    {
      "start": 1510.181,
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      "text": "如果要准备我们接下来的这个金九",
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      "avg_logprob": -0.1359443471889303,
      "no_speech_prob": 2.988467806552819e-11,
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    },
    {
      "start": 1512.301,
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      "text": "金九银食这个招聘的话",
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      "start": 1514.241,
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      "text": "那确实需要提前来进行规划",
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    {
      "start": 1516.281,
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      "text": "可以迅速学到案例",
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      "start": 1517.261,
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      "text": "然后呢",
      "chunk": 3,
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      "no_speech_prob": 2.988467806552819e-11,
      "compression_ratio": 1.5329512893982808,
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    },
    {
      "start": 1517.601,
      "end": 1519.481,
      "text": "我们也会给大家提供对应的简单模板",
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      "no_speech_prob": 2.988467806552819e-11,
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    {
      "start": 1519.481,
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      "text": "帮助大家更快速的去完成",
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    {
      "start": 1521.781,
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      "text": "你未来的这个职业晋升",
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    {
      "start": 1523.921,
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      "text": "好 那么大家现在如果对这门看着看",
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    },
    {
      "start": 1525.841,
      "end": 1527.101,
      "text": "感兴趣的话 欢迎大家扫描",
      "chunk": 3,
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      "no_speech_prob": 2.4782061819328405e-11,
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    {
      "start": 1527.101,
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      "text": "现在屏幕当中二维码",
      "chunk": 3,
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      "avg_logprob": -0.12960779825846355,
      "no_speech_prob": 2.4782061819328405e-11,
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    {
      "start": 1527.901,
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      "text": "我们还有最后两席",
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    {
      "start": 1528.941,
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      "text": "听见我们助教老师",
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    {
      "start": 1530.281,
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      "text": "然后呢 回复大模型",
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    {
      "start": 1531.221,
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      "text": "就能看到这门课程完整的课程介绍",
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    {
      "start": 1533.001,
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      "text": "和现在正在进行的特别活动了",
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    {
      "start": 1534.861,
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      "text": "当然除此之外",
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    {
      "start": 1536.061,
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      "text": "我们还有三门额外的课程",
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    {
      "start": 1537.861,
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      "text": "分别是AI编程课",
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    {
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      "text": "OpenCloud应用课",
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    {
      "start": 1540.861,
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      "text": "和大模型原理跟训练实战课",
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      "text": "这三门课实际上是",
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    {
      "start": 1543.601,
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      "text": "另外的三个不同的这个方向了",
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    {
      "start": 1545.601,
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      "text": "就比如说AI编程",
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    {
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      "text": "在编程的这个课程",
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    {
      "start": 1550.521,
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      "text": "然后呢",
      "chunk": 3,
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      "avg_logprob": -0.11647626241048177,
      "no_speech_prob": 1.0298534247610291e-10,
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      "start": 1550.921,
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      "text": "Open Cloud",
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    {
      "start": 1551.321,
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      "text": "主要是在讲解",
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      "text": "Open Cloud的啊",
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      "text": "这样的使用",
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    {
      "start": 1554.061,
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      "text": "和进阶的这样的技巧",
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      "text": "然后大模型原理",
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      "text": "跟训练实战课啊",
      "chunk": 3,
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      "text": "这么可能主要是去讲解啊",
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    {
      "start": 1559.201,
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      "text": "深度学习底层的",
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    {
      "start": 1560.061,
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      "text": "深度学习底层这样的原理啊",
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      "start": 1561.721,
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      "text": "包括像Transformer这样的原理",
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      "text": "然后呢",
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    {
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      "text": "我们会一路讲解到啊",
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      "start": 1564.661,
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      "text": "像现在比较顶尖的",
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    {
      "start": 1566.121,
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      "text": "这样那些开源大模型",
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    {
      "start": 1567.541,
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      "text": "底层的训练策略",
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    {
      "start": 1568.881,
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      "text": "我们也会从零到一呢",
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    {
      "start": 1570.561,
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      "text": "带大家去完成一些啊",
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    {
      "start": 1572.401,
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      "text": "底层的大模型的",
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      "text": "这样的训练的工作啊",
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      "text": "所以呢",
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      "text": "这下面三门课程啊",
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      "text": "不管是哪门课程感兴趣",
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      "text": "都可以扫描现在屏幕当中",
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    {
      "start": 1582.241,
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      "text": "二维码天降能作家老师",
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    {
      "start": 1583.481,
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      "text": "来进行一个咨询",
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      "start": 1584.921,
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      "text": "好",
      "chunk": 3,
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      "text": "那么我们本期的公开课",
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    {
      "start": 1587.381,
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      "text": "差不多到这儿就全部结束了",
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      "start": 1589.201,
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      "text": "也非常感谢大家长期的",
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      "start": 1591.321,
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      "text": "关注陪伴和支持",
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      "text": "当然其实我们的课程",
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      "start": 1595.781,
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      "text": "其实一直以来",
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      "start": 1596.581,
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      "text": "大家会发现",
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      "start": 1597.201,
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      "text": "对不对",
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      "text": "既不打广告",
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      "start": 1598.681,
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      "text": "然后同时也不打所谓的",
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    {
      "start": 1600.541,
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      "text": "名师这样的抬头",
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      "text": "其实所有的",
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      "text": "大家购买或者报名",
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    {
      "start": 1605.301,
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      "text": "我们课程的钱",
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    {
      "start": 1606.521,
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      "text": "都是为大家自己的",
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    {
      "start": 1608.521,
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      "text": "最后能够获得的优质内容去买单",
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    {
      "start": 1611.281,
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      "text": "其实我相信大家今天看到我们的课程",
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    {
      "start": 1613.621,
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      "text": "或者愿意来咨询我们的课程",
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      "start": 1614.901,
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      "text": "其实多少都是看到了",
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    {
      "start": 1616.581,
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      "text": "我们团队制作的一些内容",
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    {
      "start": 1618.201,
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      "text": "觉得不错",
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    {
      "start": 1618.881,
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      "text": "然后愿意来进行咨询",
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      "start": 1620.821,
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      "text": "其实大家可能不知道的是",
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    {
      "start": 1622.321,
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      "text": "对我们现在市面上",
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    {
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      "text": "其实也有很多的一些做内容的",
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    {
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      "text": "做课程的这样的团队",
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    {
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      "text": "其实会有大量的广告",
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    },
    {
      "start": 1628.821,
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      "text": "或者是很多的一些过度的包装和宣传在里边",
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    {
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      "text": "那么大家很多的课程里面",
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    {
      "start": 1635.881,
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      "text": "自然就会有很多的一些溢价",
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    {
      "start": 1637.901,
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      "text": "可能大家可能不知道",
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      "text": "现在的很多广告投放",
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      "start": 1640.721,
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      "text": "可能你去报名一门课程",
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      "text": "课程里面",
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      "start": 1643.901,
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      "text": "甚至40%",
      "chunk": 3,
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