ChatGPT and LangChain: The Complete Developer’s Masterclass

本课程《ChatGPT、LangChain 与 Python 实战大师课》由知名讲师 Stephen Grider 精心打造，专为希望将 AI 能力真正集成到生产环境应用中的开发者设计。课程深入讲解如何使用 LangChain 构建复杂的文本生成流程，结合 ChatGPT API 实现用户反馈增强、RAG（检索增强生成）、PDF 对话应用、插件接入、服务端流式输出等前沿实战技术。你将从基础用法出发，逐步掌握构建完整 AI 应用所需的关键技能，例如语义检索、向量数据库（如 ChromaDB、Pinecone）、工具链组合、分布式任务处理（Celery + Redis）、用户行为追踪与提示质量提升。适合有 Python 编程经验，渴望在 AI 工程落地方面取得实质进阶的开发者与技术从业者。课程内容严谨且面向实战，适合用于职业发展或项目实践。

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教程名称：ChatGPT and LangChain: The Complete Developer’s Masterclass

下载连结：https://www.nidown.com/chatgpt-343156.html

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英文原版介绍

Last updated 12/2024
Created by Stephen Grider
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English + subtitle | Duration: 137 Lectures ( 12h 11m ) | Size: 3.3 GB

Intensive masterclass on ChatGPT, LangChain, and Python. Make production-ready apps focused on real-world AI integration

What you’ll learn

Integrate ChatGPT into production-style apps with LangChain
Use LangChain components to build complex text generation pipelines
Enhance ChatGPT’s output by automatically integrating user feedback
Teach ChatGPT new facts through Retrieval Augmented Generation
Extend LangChain to implement server-to-browser text streaming
Use OpenAI Plugins to add new capabilities to ChatGPT, such as database access and code execution
Understand every line of code we write so you can use these exact same techniques on your own projects
Build your own chat-with-a-PDF web application, complete with document upload and authentication
See how users interact with your chat features using observability and tracing

Requirements

Basic programming experience with Python