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所在平台: Udemy |
课程主页: https://www.udemy.com/course/advanced-langchain-techniques-mastering-rag-applications/
课程评论：没有评论
课程名称：高级 LangChain 技术：掌握 RAG 应用 课程概述： 欢迎参加我们的高级检索增强生成（RAG）与 LangChain 框架课程！在本课程中，我们将深入研究 RAG 的高级技术，利用强大的 LangChain 框架来提升您的人工智能语言任务。LangChain 是一个开源工具，将大型语言模型（LLMs）与其他组件连接起来，是开发人员和数据科学家在使用 AI 时的重要资源。 课程亮点： - **聚焦 RAG 技术**：本课程提供对检索增强生成的深入理解，指导您掌握 LangChain 框架的复杂性。我们涵盖从基本概念到高级实现的一系列主题，确保您获得全面的知识。 - **综合内容**：本课程面向具有一定大型语言模型（LLMs）和 LangChain 背景的开发人员、软件工程师和数据科学家。课程内容包括： - LCEL 深度解析和可运行程序 - 带有历史的聊天 - 索引 API - RAG 评估工具 - 高级分块技术 - 其他嵌入模型 - 查询 formulation 和检索 - Cross-Encoder 重排序 - 路由代理 - 工具调用 - NeMo 保护带 - Langfuse 集成 - **额外资源**： - 帮助脚本：提供数据摄取、检查和清理的脚本，以简化工作流程。 - 全栈应用程序和 Docker：一个包含 React 前端和 FastAPI 后端的综合聊天机器人应用，支持 Docker 以便于设置和部署。 我们还提供额外资源来支持您的学习。祝您学习愉快！
What to Expect from This CourseWelcome to our course on Advanced Retrieval-Augmented Generation (RAG) with the LangChain Framework!In this course, we dive into advanced techniques for Retrieval-Augmented Generation, leveraging the powerful LangChain framework to enhance your AI-powered language tasks. LangChain is an open-source tool that connects large language models (LLMs) with other components, making it an essential resource for developers and data scientists working with AI.Course HighlightsFocus on RAG Techniques: This course provides a deep understanding of Retrieval-Augmented Generation, guiding you through the intricacies of the LangChain framework. We cover a range of topics from basic concepts to advanced implementations, ensuring you gain comprehensive knowledge.Comprehensive Content: The course is designed for developers, software engineers, and data scientists with some experience in the world of LLMs and LangChain. Throughout the course, you'll explore:LCEL Deepdive and RunnablesChat with HistoryIndexing APIRAG Evaluation ToolsAdvanced Chunking TechniquesOther Embedding ModelsQuery Formulation and RetrievalCross-Encoder RerankingRoutingAgentsTool CallingNeMo GuardrailsLangfuse IntegrationAdditional ResourcesHelper Scripts: Scripts for data ingestion, inspection, and cleanup to streamline your workflow.Full-Stack App and Docker: A comprehensive chatbot application with a React frontend and FastAPI backend, complete with Docker support for easy setup and deployment.Additional resources are available to support your learning.Happy Learning!:-)
