跟月影学前端智能体开发【1.8GB】-夸克网盘资源下载-搜课100

📢 以下文件由夸克网盘用户[大方*荔枝]于2025-07-17分享（只展示部分的文件和文件夹）

101023401-跟月影学前端智能体开发1.78GB

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videos1.56GB

21｜如何实现语音输入3.18MB

67a2f7f5-1970bd6ab4b-0000-0000-01d-dbacd.mp43.18MB

26｜交互细节功能的丰富和功能优化4MB

4e78ae39-1974902cdf2-0000-0000-01d-dbacd.mp44MB

加餐4｜如何用Coze实现听歌学古诗9.36MB

48b51c2e-1971b401ed3-0000-0000-01d-dbacd.mp46.37MB

66f1ca80-196e22adc57-0000-0000-01d-dbacd.mp42.99MB

加餐5｜使用Coze自身的文件上传来存储和处理数据19.41MB

15f80d76-19787c020f7-0000-0000-01d-dbacd.mp419.41MB

直播回放：如何成为AI时代的合格前端？1.53GB

886f235-1961e8b3bc1-0000-0000-01d-dbacd.mp41.53GB

01｜如何在前端调用文本大模型API.md13.94KB

01｜如何在前端调用文本大模型API.mp31.82MB

01｜如何在前端调用文本大模型API.pdf3.96MB

02｜如何使用流式传输减少等待时间.md16.69KB

02｜如何使用流式传输减少等待时间.mp31.35MB

02｜如何使用流式传输减少等待时间.pdf2.49MB

03｜如何在前端调用图像大模型API.md16.48KB

03｜如何在前端调用图像大模型API.mp31.5MB

03｜如何在前端调用图像大模型API.pdf1.99MB

04｜如何在前端调用语音合成和视觉模型.md16.26KB

04｜如何在前端调用语音合成和视觉模型.mp31.47MB

04｜如何在前端调用语音合成和视觉模型.pdf2.03MB

05｜如何快速构建AI应用智能体.md14.73KB

05｜如何快速构建AI应用智能体.mp32.63MB

05｜如何快速构建AI应用智能体.pdf4.45MB

06｜智能体应用实战：拍照记单词.md23.09KB

06｜智能体应用实战：拍照记单词.mp31.1MB

06｜智能体应用实战：拍照记单词.pdf3.48MB

07｜提示词工程（一）：三个技巧让大模型超常发挥.md30.46KB

07｜提示词工程（一）：三个技巧让大模型超常发挥.mp31.34MB

07｜提示词工程（一）：三个技巧让大模型超常发挥.pdf3.07MB

08｜提示词工程（二）：如何使用元提示（Meta-Prompt）和动态提示词.md13.88KB

08｜提示词工程（二）：如何使用元提示（Meta-Prompt）和动态提示词.mp31.1MB

08｜提示词工程（二）：如何使用元提示（Meta-Prompt）和动态提示词.pdf5.77MB

09｜用户体验：如何解决流式传输与JSON结构化的矛盾.md29.78KB

09｜用户体验：如何解决流式传输与JSON结构化的矛盾.mp31.46MB

09｜用户体验：如何解决流式传输与JSON结构化的矛盾.pdf2.47MB

10｜深入细节：如何实现动态JSON解析.md23.02KB

10｜深入细节：如何实现动态JSON解析.mp31.27MB

10｜深入细节：如何实现动态JSON解析.pdf3.4MB

11｜工作流框架：Ling的设计思想与整体架构.md15.32KB

11｜工作流框架：Ling的设计思想与整体架构.mp31.27MB

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12｜深度剖析（上）：Ling框架的底层实现.md20.48KB

12｜深度剖析（上）：Ling框架的底层实现.mp31.42MB

12｜深度剖析（上）：Ling框架的底层实现.pdf1.63MB

13｜深度剖析（下）：Ling框架的底层实现.md30.64KB

13｜深度剖析（下）：Ling框架的底层实现.mp31.77MB

13｜深度剖析（下）：Ling框架的底层实现.pdf1.92MB

14｜项目实战：使用Ling框架重构拍照记单词.md19.54KB

14｜项目实战：使用Ling框架重构拍照记单词.mp31.04MB

14｜项目实战：使用Ling框架重构拍照记单词.pdf3.56MB

15｜实战项目概览：AI版“十万个为什么”.md10.67KB

15｜实战项目概览：AI版“十万个为什么”.mp31.64MB

15｜实战项目概览：AI版“十万个为什么”.pdf4.32MB

16｜如何实现好奇心问题改写和RAG.md14.47KB

16｜如何实现好奇心问题改写和RAG.mp31.61MB

16｜如何实现好奇心问题改写和RAG.pdf5.36MB

17｜如何实现波波熊学伴核心工作流（上）.md20.15KB

17｜如何实现波波熊学伴核心工作流（上）.mp31.25MB

17｜如何实现波波熊学伴核心工作流（上）.pdf2.55MB

18｜如何实现波波熊学伴核心工作流（中）.md21.44KB

18｜如何实现波波熊学伴核心工作流（中）.mp3752.46KB

18｜如何实现波波熊学伴核心工作流（中）.pdf2.36MB

19｜如何实现波波熊学伴核心工作流（下）.md22.68KB

19｜如何实现波波熊学伴核心工作流（下）.mp3844.8KB

19｜如何实现波波熊学伴核心工作流（下）.pdf2.36MB

20｜如何实现插图和听书功能.md14.53KB

20｜如何实现插图和听书功能.mp31.56MB

20｜如何实现插图和听书功能.pdf2.69MB

21｜如何实现语音输入.md16.46KB

21｜如何实现语音输入.mp31.54MB

21｜如何实现语音输入.pdf2.91MB

22｜项目概览：AI前端面试官.md10.5KB

22｜项目概览：AI前端面试官.mp33.17MB

22｜项目概览：AI前端面试官.pdf1.33MB

23｜多轮对话：时间线与记忆.md19.08KB

23｜多轮对话：时间线与记忆.mp31.63MB

23｜多轮对话：时间线与记忆.pdf2.54MB

24｜多轮对话：API读写分离设计.md19.93KB

24｜多轮对话：API读写分离设计.mp31.51MB

24｜多轮对话：API读写分离设计.pdf1.89MB

25｜多轮对话：人设、上下文和记忆.md18.43KB

25｜多轮对话：人设、上下文和记忆.mp31.13MB

25｜多轮对话：人设、上下文和记忆.pdf2MB

26｜交互细节功能的丰富和功能优化.md21.38KB

26｜交互细节功能的丰富和功能优化.mp31.72MB

26｜交互细节功能的丰富和功能优化.pdf2.59MB

27｜如何创建AI智能体管理笔记和收集信息（一）.md13.56KB

27｜如何创建AI智能体管理笔记和收集信息（一）.mp31.68MB

27｜如何创建AI智能体管理笔记和收集信息（一）.pdf3.99MB

28｜如何创建AI智能体管理笔记和收集信息（二）.md18.94KB

28｜如何创建AI智能体管理笔记和收集信息（二）.mp31.49MB

28｜如何创建AI智能体管理笔记和收集信息（二）.pdf4.02MB

29｜如何用BunnyCDN结合Coze智能体管理静态资源.md15.16KB

29｜如何用BunnyCDN结合Coze智能体管理静态资源.mp31.56MB

29｜如何用BunnyCDN结合Coze智能体管理静态资源.pdf3.59MB

30｜AICoding：不可阻挡的“前端工业革命”.md15.9KB

30｜AICoding：不可阻挡的“前端工业革命”.mp32.26MB

30｜AICoding：不可阻挡的“前端工业革命”.pdf3.74MB

31｜VibeCoding：使用TraeBuilder开发实战项目（一）.md16.63KB

31｜VibeCoding：使用TraeBuilder开发实战项目（一）.mp31.26MB

31｜VibeCoding：使用TraeBuilder开发实战项目（一）.pdf4.18MB

32｜VibeCoding：使用TraeBuilder开发实战项目（二）.md26.3KB

32｜VibeCoding：使用TraeBuilder开发实战项目（二）.mp31.38MB

32｜VibeCoding：使用TraeBuilder开发实战项目（二）.pdf3.58MB

33｜如何私有化部署和应用本地大模型.md13.23KB

33｜如何私有化部署和应用本地大模型.mp31.52MB

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跟月影学前端智能体开发【1.8GB】