知乎知学堂《AI大模型应用开发实战营 (12期) 》

《知乎知学堂《AI大模型应用开发实战营 (12期) 》》相关资源介绍

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• 📁 知乎知学堂《AI大模型应用开发实战营 (12期) 》
•     📁 5-Embeddings和向量数据库
•         📁 word2vec
•             📁 journey_to_the_west
•                 📁 source
•                     📄 journey_to_the_west.txt
•                 📁 segment
•                     📄 segment_0.txt
•             📁 three_kingdoms
•                 📁 source
•                     📄 three_kingdoms.txt
•             📁 utils
•                 📁 __pycache__
•                     📄 __init__.cpython-36.pyc
•                     📄 __init__.cpython-311.pyc
•                     📄 segment.cpython-37.pyc
•                     📄 __init__.cpython-35.pyc
•                     📄 files_processing.cpython-35.pyc
•                     📄 files_processing.cpython-311.pyc
•                     📄 segment.cpython-35.pyc
•                     📄 files_processing.cpython-36.pyc
•                     📄 files_processing.cpython-37.pyc
•                     📄 __init__.cpython-37.pyc
•                     📄 segment.cpython-311.pyc
•                     📄 segment.cpython-36.pyc
•                 📄 create_word2vec.py
•                 📄 create_batch_data.py
•                 📄 files_processing.py
•                 📄 segment.py
•                 📄 __init__.py
•             📁 models
•                 📄 word2Vec.model
•             📄 word_seg.py
•             📄 word_similarity.py
•         📁 hotel_recommendation
•             📁 .qodo
•                 📄 history.sqlite
•             📁 .ipynb_checkpoints
•                 📄 hotel_rec-checkpoint.ipynb
•             📄 Seattle_Hotels.csv
•             📄 .gitignore
•             📄 hotel_rec.ipynb
•             📄 hotel_rec - nltk.py
•             📄 hotel_rec.py
•         📄 笔记20250414.txt
•         📄 1-Embedding与向量数据库.pdf
•     📁 7-RAG高级技术与最佳实践
•         📁 rerank
•             📄 beg-reranker.ipynb
•             📄 beg-reranker.py
•         📁 graphrag-main
•             📁 cases
•                 📁 input
•                     📄 three_kingdoms.txt
•                     📄 three_kingdoms-4037c531101e.txt
•                 📄 settings.yaml
•                 📄 .env
•         📁 CASE-Qwen-Agent-RAG
•             📁 docs
•                 📄 7-平安装修保.txt
•                 📄 平安产险交通出行意外伤害保险（互联网版）产品说明.pdf
•                 📄 平安附加疾病身故保险条款.pdf
•                 📄 4-雇主安心保.txt
•                 📄 3-平安企业团体综合意外险.txt
•                 📄 平安商业综合责任保险（亚马逊）.pdf
•                 📄 2-雇主责任险.txt
•                 📄 1-平安商业综合责任保险（亚马逊）.txt
•                 📄 6-财产一切险.txt
•                 📄 平安企业团体综合意外险(互联网版)适用条款.pdf
•                 📄 5-施工保.txt
•                 📄 平安境内紧急医疗救援服务条款.pdf
•                 📄 平安产险交通工具意外伤害保险（互联网版）条款.pdf
•             📄 qwen-agent-1.ipynb
•             📄 qwen-agent-multi-files.ipynb
•             📄 浦发上海浦东发展银行西安分行个金客户经理考核办法.pdf
•             📄 qwen-agent-multi-files.py
•             📄 qwen-agent-1.py
•         📁 Case-ChatPDF-Faiss
•             📄 浦发上海浦东发展银行西安分行个金客户经理考核办法.pdf
•             📄 chatpdf-faiss.ipynb
•             📄 MultiQueryRetriever使用.py
•             📄 chatpdf-faiss.py
•             📄 MultiQueryRetriever使用.ipynb
•         📄 1-RAG高级技术与实践.pdf
•         📄 笔记20250422.txt
•     📁 6-RAG技术与应用
•         📁 CASE-ChatPDF-Faiss
•             📁 faiss-1
•                 📄 index.pkl
•                 📄 index.faiss
•             📁 .ipynb_checkpoints
•                 📄 chatpdf-faiss-checkpoint.ipynb
•             📄 ReadMe.md
•             📄 chatpdf-faiss.ipynb
•             📄 chatpdf-faiss.py
•             📄 浦发上海浦东发展银行西安分行个金客户经理考核办法.pdf
•         📁 CASE-embedding使用
•             📄 gte-qwen2-使用2.py
•             📄 gte-qwen2-使用1.py
•             📄 bge-m3使用.py
•         📄 1-RAG技术与应用.pdf
•         📄 2-NotebookLM使用.pdf
•         📄 笔记20250417.txt
•     📁 3-Cursor编程：从入门到精通
•         📁 CASE-dashboard_epidemic
•             📄 香港各区疫情数据_20250322.xlsx
•         📁 CASE-bed_usage
•             📄 hospital_bed_usage_data.xlsx
•         📁 CASE-Excel_merge
•             📄 员工绩效表.xlsx
•             📄 员工基本信息表.xlsx
•         📁 【完成参考】bed_usage
•             📁 .qodo
•                 📄 history.sqlite
•             📁 templates
•                 📄 index.html
•             📁 charts
•                 📄 TOP10最低使用率科室.png
•                 📄 病床数量与使用率关系.png
•                 📄 医院科室使用率热力图.png
•                 📄 各医院病床使用率.png
•                 📄 TOP10最高使用率科室.png
•             📁 data_cache
•                 📄 data_cache.pkl
•                 📄 metadata.json
•             📄 README.md
•             📄 view_excel_data.py
•             📄 .gitignore
•             📄 app.py
•             📄 precompute_data.py
•             📄 hospital_bed_usage_data.xlsx
•         📁 【完成参考】Excel_merge
•             📄 员工基本信息表.xlsx
•             📄 员工信息与绩效合并表.xlsx
•             📄 员工绩效表.xlsx
•             📄 .gitignore
•             📄 Excel_merge.py
•         📁 【完成参考】dashboard_epidemic
•             📁 templates
•                 📄 index.html
•             📁 static
•                 📁 css
•                     📄 dashboard.css
•                 📁 js
•                     📄 dashboard.js
•                     📄 hongkong.json
•             📄 疫情数据统计图 - 副本.png
•             📄 README.md
•             📄 每日确诊数据统计图.png
•             📄 疫情数据统计图.png
•             📄 各地区确诊病例对比图.png
•             📄 requirements.txt
•             📄 app.py
•             📄 活跃病例数据统计图.png
•             📄 .gitignore
•             📄 read_excel.py
•             📄 香港各区疫情数据_20250322.xlsx
•         📄 1-Cursor编程.pdf
•         📄 【课前准备】AI编程工具安装.pdf
•         📄 【补充】CASE-病床使用情况.pdf
•         📄 笔记20250408.txt
•     📁 AI大模型全栈工程师先导课（赠）
•         📄 9-如何使用注解.mp4
•         📄 19.dotenv使用.mp4
•         📄 3-macOS环境安装.mp4
•         📄 4-VSCode安装与应用.mp4
•         📄 20.FastAPI的使用.mp4
•         📄 11-Python程序调式和异常处理技巧.mp4
•         📄 12-JSON应用.mp4
•         📄 14-爬虫（1）.mp4
•         📄 2-Windows环境安装.mp4
•         📄 8-Python文档化应用场景.mp4
•         📄 7-Python工程应用-字符串.mp4
•         📄 10-字符编码的处理.mp4
•         📄 15-爬虫（2）.mp4
•         📄 18-字符串处理.mp4
•         📄 5-PyCharn安装与应用.mp4
•         📄 1-初始Python.mp4
•         📄 16-爬虫（3）.mp4
•         📄 17-爬虫（4）.mp4
•         📄 13-文件IO.mp4
•         📄 6-pip包管理工具.mp4
•     📁 8-Text2SQL：自助式数据报表开发
•         📁 CASE-SQL-vanna
•             📄 vanna-mysql.ipynb
•             📄 vanna-mysql.py
•         📁 Case-SQL-LangChain
•             📁 .ipynb_checkpoints
•                 📄 sql_life_insurance-checkpoint.ipynb
•                 📄 sql_agent_deepseek-checkpoint.ipynb
•             📄 sql_life_insurance.ipynb
•             📄 sql_agent_deepseek.ipynb
•         📁 CASE-SQL Copilot
•             📁 insurance
•                 📁 data
•                     📄 AgentInfo.xlsx
•                     📄 数据表字段说明-精简1.txt
•                     📄 ClaimInfo.xlsx
•                     📄 BeneficiaryInfo.xlsx
•                     📄 CustomerInfo.xlsx
•                     📄 ProductInfo.xlsx
•                     📄 EmployeeInfo.xlsx
•                     📄 create_sql.txt
•                     📄 PolicyInfo.xlsx
•                 📄 qa_list-1.txt
•                 📄 SQL查询-Coder.ipynb
•                 📄 qa_list-2.txt
•                 📄 SQL查询-Chat.ipynb
•                 📄 SQL结果评测.ipynb
•             📄 codegeex-1.ipynb
•             📄 qwen-coder1.ipynb
•         📁 SQL数据表源文件
•             📄 crs_orders.sql
•             📄 heros.sql
•             📄 claiminfo.sql
•             📄 customerinfo.sql
•             📄 policyinfo.sql
•             📄 beneficiaryinfo.sql
•             📄 employeeinfo.sql
•             📄 productinfo.sql
•             📄 agentinfo.sql
•         📄 2-vanna使用.pdf
•         📄 笔记20250424.txt
•         📄 1-Text2SQL：自助式数据报表开发.pdf
•     📁 AI大模型全栈会员专享系列讲座（赠）
•         📁 4.手撕 AutoGPT
•             📄 1. 【丛鑫、卢雅西】XAgent 原理、技术与应用.mp4
•             📄 2. 【林义章】MetaGPT 让每个人拥有专属智能体.mp4
•         📁 8.产品设计和运营
•             📄 2. 【王乐】复盘 FoloToy AI 玩具的独立开发历程.mp4
•             📄 1. 【周玮】AI 落地实战应用——EDGE 过程总结和复盘.mp4
•             📄 4. 【Frank Nee】中国产品如何出海.mp4
•             📄 3. 【汪源】GenAI的创新逻辑与趋势.mp4
•         📁 1.AI编程
•             📄 1. 【何少甫】网易 CodeWave 智能开发平台的 AI 实践.mp4
•         📁 2.RAG
•             📄 1. 【翼飞】阿里云百炼之RAG在企业场景的应用.mp4
•             📄 2. 【刘海峰】ChatU.ai 企业落地经验.mp4
•         📁 5.Fine-tuning
•             📄 5. 【可乐】百度智能云千帆行业实战&金融大模型应用探索与开发实践.mp4
•             📄 4. 【神秘嘉宾】大模型时代的AI产品新挑战.mp4
•             📄 1. 【张轩玮】我是如何训练百亿参数大模型 ChatYuan 的.mp4
•             📄 3. 【甘如饴】多模态大模型和代码大模型是怎样炼成的.mp4
•             📄 7. 【罗璇】从RWKV看端侧大模型的发展.mp4
•             📄 6. 【麒汀】阿里云百炼之一站式模型微调训练实践.mp4
•             📄 2. 【施兴】如何用 Stable Diffusion 复现一个妙鸭.mp4
•         📁 3.LangChain
•             📄 1. 【薛宏伟】LangChain 核心源码解读.mp4
•         📁 7.部署和交付
•             📄 1. 【David】智能算力那点事儿.mp4
•         📁 6.多模态
•             📄 1. 【吴桂林】数字分身应用及技术介绍.mp4
•     📁 常用工具下载
•         📄 OllamaSetup.exe
•     📁 13-视觉大模型与多模态理解
•         📁 CASE-MinerU使用
•             📄 Qwen3-tech_report.pdf
•             📄 三国演义.pdf
•             📄 1-MinerU.ipynb
•             📄 download_models_hf.py
•         📁 CASE-VLM在车险中的应用
•             📁 .ipynb_checkpoints
•                 📄 1-Qwen-VL-保险识别-cn-checkpoint.ipynb
•                 📄 2-Qwen-VL-chat1-checkpoint.ipynb
•             📄 11-vehicle-identity-verification-1.jpg
•             📄 prompt_template_cn.xlsx
•             📄 2-vehicle-odometer-reading.jpg
•             📄 6-Dangerous-driving-behavior-detection-5.jpg
•             📄 12-vehicle-identity-verification-2.jpg
•             📄 prompt_template_cn_result-20250430.xlsx
•             📄 7-vehicle-damage-evaluation.jpg
•             📄 10-extraction-of-auto-accident-elements.jpg
•             📄 3-vehicle-underwriting-1.jpg
•             📄 4-Dangerous-driving-behavior-detection.jpg
•             📄 6-Dangerous-driving-behavior-detection-3.jpg
•             📄 8-vehicle-damage-evaluation.jpg
•             📄 prompt_template_en.xlsx
•             📄 1-vehicle-odometer-reading.jpg
•             📄 6-Dangerous-driving-behavior-detection-2.jpg
•             📄 6-Dangerous-driving-behavior-detection-1.jpg
•             📄 3-vehicle-underwriting-5.jpg
•             📄 prompt_template_en_result.xlsx
•             📄 1-Qwen-VL-保险识别-cn.ipynb
•             📄 11-vehicle-identity-verification-2.jpg
•             📄 prompt_template_cn_result.xlsx
•             📄 12-vehicle-identity-verification-1.jpg
•             📄 3-vehicle-underwriting-2.jpg
•             📄 9-extraction-of-auto-accident-elements.jpg
•             📄 6-Dangerous-driving-behavior-detection-4.jpg
•             📄 2-Qwen-VL-chat1.ipynb
•             📄 3-vehicle-underwriting-4.jpg
•             📄 3-vehicle-underwriting-3.jpg
•             📄 5-Dangerous-driving-behavior-detection.jpg
•         📁 CASE-VLM在寿险中的应用
•             📁 .ipynb_checkpoints
•                 📄 2-Qwen-VL-本地图片-checkpoint.ipynb
•             📄 prompt_template_cn.xlsx
•             📄 1-Qwen-VL-保险识别-cn.ipynb
•             📄 2-Qwen-VL-本地图片【海量资源：kebaiwan.net】.ipynb
•             📄 1-Chinese-document-extraction.jpg
•             📄 5-Korean-document-extraction.jpg
•             📄 3-French-document-extraction.jpg
•             📄 4-German-document-extraction.jpg
•             📄 prompt_template_cn_result.xlsx
•             📄 2-Japanese-document-extraction.jpg
•         📁 CASE-汽车剐蹭视频理解
•             📄 requirements.txt
•             📄 car.mp4
•             📄 video-understand.ipynb
•             📄 video-understand.py
•         📄 yolo-cases.zip
•         📄 笔记20250515.txt
•         📄 视觉大模型与多模态理解.pdf
•     📁 11-MCP与A2A应用
•         📁 CASE-MCP Demo-1
•             📄 requirements.txt
•             📄 assistant_mcp_txt_bot.py
•             📄 .cursorindexingignore
•             📄 .gitignore
•             📄 txt_counter.py
•             📄 assistant_mcp_amap_bot.py
•             📄 旅行规划.md
•         📁 CASE-A2A使用
•             📄 requirements.txt
•             📄 BasketBallAgent.py
•             📄 WeatherAgent.py
•         📁 CASE-MCP Demo-2
•             📄 requirements.txt
•             📄 assistant_bot.py
•         📄 1-MCP与A2A的应用.pdf
•         📄 笔记20250508.txt
•     📁 16-Coze进阶实战与插件开发
•         📁 CASE-市场舆情监测Agent
•             📄 代码1.py
•             📄 代码.js
•             📄 AppStorePast.py
•             📄 AppStorePast-代码1.py
•             📄 securities_past.py
•         📁 CASE-智能客服Agent
•             📄 中国平安金裕人生理财产品.doc
•             📄 上海证券交易所交易规则.pdf
•             📄 平安财富日添利理财产品.doc
•             📄 港股交易规则介绍.pdf
•             📄 user_complain.xlsx
•         📁 CASE-客户分层营销助手
•             📄 user_behavior_event.xlsx
•             📄 营销策略.xlsx
•             📄 user_tag.xlsx
•         📄 笔记20250527.txt
•         📄 证券舆情Agent.mp4
•         📄 ABC公司证券产品介绍.txt
•         📄 Coze进阶实战与插件开发.pdf
•     📁 ai大模型正课
•         📄 12、MCP应用与实战.mp4
•         📄 4、Cursor 可视化大屏搭建.mp4
•         📄 6、RAG（Retrieval Augmented Generation）技术与应用.mp4
•         📄 10、Function Calling与跨模型协作.mp4
•         📄 17、Coze插件开发实战.mp4
•         📄 1、AI大模型基本原理与deepseek使用.mp4
•         📄 15、Fine-tuning技术与大模型优化.mp4
•         📄 8、Text2SQL：自助式数据报表开发.mp4
•         📄 9、LangChain：多任务应用开发.mp4
•         📄 5、Embeddings和向量数据库.mp4
•         📄 0、开班典礼.mp4
•         📄 16、Coze工作原理与应用实例.mp4
•         📄 11、Agent智能体系统的设计与应用.mp4
•         📄 7、RAG高级技术与最佳实践.mp4
•         📄 3、Cursor编程-从入门到精通.mp4
•         📄 13、视觉大模型与视觉智能体.mp4
•         📄 2、Prompt工程：设计与优化.mp4
•         📄 14、视觉大模型与视觉智能体.mp4
•     📁 4-Cursor数据可视化与洞察
•         📁 CASE-客户续保预测
•             📄 policy_data.xlsx
•             📄 policy_test.xlsx
•         📁 【完成参考】CASE-客户续保预测
•             📄 bnb_confusion_matrix.png
•             📄 best_lr_roc_curve.png
•             📄 best_lr_feature_importance.png
•             📄 bnb_roc_curve.png
•             📄 .gitignore
•             📄 README.md
•             📄 region_correlation.png
•             📄 policy_data.xlsx
•             📄 lr_roc_curve.png
•             📄 policy_test.xlsx
•             📄 best_lr_coefficients.png
•             📄 confusion_matrix.png
•             📄 best_decision_tree_viz.png
•             📄 nb_models_comparison_roc.png
•             📄 decision_tree_text.txt
•             📄 gnb_confusion_matrix.png
•             📄 logistic_regression_model.py
•             📄 naive_bayes_model.py
•             📄 mnb_confusion_matrix.png
•             📄 analyze_data.py
•             📄 best_dt_roc_curve.png
•             📄 view_data.py
•             📄 gender_age_boxplot.png
•             📄 gnb_roc_curve.png
•             📄 decision_tree_viz.png
•             📄 decision_tree_model.py
•             📄 feature_importance.png
•             📄 gender_distribution.png
•             📄 view_excel.py
•             📄 best_decision_tree_text.txt
•             📄 dt_confusion_matrix.png
•             📄 lr_coefficients.png
•             📄 best_roc_curve.png
•             📄 dt_feature_importance.png
•             📄 lr_feature_importance.png
•             📄 mnb_roc_curve.png
•             📄 lr_confusion_matrix.png
•             📄 roc_curve.png
•             📄 dt_roc_curve.png
•             📄 random_forest_model.py
•             📄 age_distribution.png
•         📄 2-CASE-客户续保预测.pdf
•         📄 笔记20250410.txt
•         📄 1-Cursor数据可视化与洞察.pdf
•     📁 1-AI大模型原理与API使用
•         📁 CASE-保险反欺诈
•             📁 .ipynb_checkpoints
•                 📄 Untitled-checkpoint.ipynb
•                 📄 insurance_fraud_detect1-checkpoint.ipynb
•                 📄 insurance_fraud_detect2-checkpoint.ipynb
•                 📄 test2-checkpoint.ipynb
•                 📄 insurance_fraud_detect-checkpoint.ipynb
•                 📄 test1-checkpoint.ipynb
•                 📄 insurance_automl2-checkpoint.ipynb
•                 📄 insurance_feature_importance-checkpoint.ipynb
•                 📄 insurance_automl-checkpoint.ipynb
•             📄 test.csv
•             📄 train.csv
•         📄 1-情感分析-Qwen.ipynb
•         📄 4-运维事件处置-Qwen.ipynb
•         📄 1-AI大模型原理与DeepSeek使用.pdf
•         📄 2-天气Function-Qwen.ipynb
•         📄 6-deepseek-r1-7b使用.ipynb
•         📄 5-情感分析-Deepseek-阿里代理.ipynb
•         📄 README.md
•         📄 6-deepseek-r1-7b使用.py
•         📄 笔记-20250331.txt
•         📄 2-API使用.pdf
•         📄 3-表格提取-Qwen.ipynb
•     📁 10-Function Callling与协作
•         📁 CASE-ticket-agent
•             📄 assistant_ticket_bot-1.py
•             📄 assistant_ticket_bot-3.py
•             📄 assistant_revenue_bot.py
•             📄 assistant_ticket_bot-2.py
•             📄 requirements.txt
•         📁 CASE-Function Calling
•             📄 qwen3-function使用-2.py
•             📄 requirements.txt
•             📄 qwen3-function使用.py
•         📄 Function Calling与协作.pdf
•     📁 2-Prompt工程：设计与优化
•         📄 3-deepseek-r1-7b使用.py
•         📄 README.md
•         📄 1-情感分析-Deepseek-阿里代理.ipynb
•         📄 笔记20250403.txt
•         📄 2-提示词工程.pdf
•         📄 2-提示词工程使用.ipynb
•         📄 1-DeepSeek使用.pdf
•         📄 3-deepseek-r1-7b使用.ipynb
•         📄 2-提示词工程使用.py
•         📄 1-情感分析-Deepseek-阿里代理.py
•     📁 12-Agent智能体系统的设计与应用
•         📁 CASE-私募基金运作指引问答助手（反应式）
•             📄 fund_qa_langgraph.py
•             📄 fund_qa_qwen_agent.py
•         📁 CASE-智能投研助手（深思熟虑）
•             📄 deliberative_research_langgraph.py
•             📄 deliberative_research_agent_documentation.md
•             📄 deliberative_research_agent_comparison.md
•             📄 deliberative_research_qwen_agent-2.py
•             📄 requirements.txt
•         📁 CASE-投顾AI助手（混合式）
•             📄 requirements.txt
•             📄 hybrid_wealth_advisor_qwen_agent.py
•             📄 hybrid_wealth_advisor_langgraph.py
•         📄 笔记20250513.txt
•         📄 1-Agent智能体系统的设计与应用.pdf
•     📁 15-Coze工作原理与应用实例
•         📁 CASE：创建产品知识库
•             📄 大模型定价.xlsx
•             📄 远程办公场景最佳实践.docx
•             📄 浦发上海浦东发展银行西安分行个金客户经理考核办法.pdf
•             📄 空调定价.xlsx
•         📄 1-Coze工作原理与应用实例.pdf
•         📄 笔记20250522.txt
•     📁 AI大模型追新课
•         📄 2、解析 Manus：多智能体技术的架构与未来.mp4
•         📄 1、DeepSeek解析：技术演进、模型指南与产业应用.mp4
•     📁 9-LangChain：多任务应用开发
•         📁 Case-LangChain使用
•             📁 .ipynb_checkpoints
•                 📄 LLMChain1-checkpoint.ipynb
•                 📄 LLMChain2-checkpoint.ipynb
•                 📄 3-LLMChain-checkpoint.ipynb
•                 📄 4-ConversationChain-checkpoint.ipynb
•                 📄 LLMChain3-checkpoint.ipynb
•                 📄 LLMChain2-1-checkpoint.ipynb
•                 📄 LLMChain-ChatPromptTemplate1-checkpoint.ipynb
•                 📄 indexes1-checkpoint.ipynb
•                 📄 1-LLMChain-checkpoint.ipynb
•                 📄 2-LLMChain-checkpoint.ipynb
•                 📄 ConversationChain1-checkpoint.ipynb
•             📄 3-LLMChain.ipynb
•             📄 2-LLMChain.ipynb
•             📄 4-ConversationChain.ipynb
•             📄 5-product_llm.py
•             📄 1-LLMChain.ipynb
•         📁 CASE-工具链组合
•             📄 3-lcel-demo.py
•             📄 requirements.txt
•             📄 1-simple_toolchain.py
•             📄 2-simple_toolchain.py
•         📁 CASE-搭建故障诊断Agent
•             📄 network_diagnosis_agent_logic.md
•             📄 2-network_diagnosis_agent.py
•             📄 requirements.txt
•         📄 2-Generative Agents.pdf
•         📄 1-LangChain：多任务应用开发.pdf
•         📄 笔记20250429.txt

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