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所在平台: Udemy |
课程主页: https://www.udemy.com/course/langchain-in-action-develop-llm-powered-applications/
课程评论：没有评论
课程名称：LangChain in Action: 开发LLM驱动的应用程序 概述：本课程深入探索LangChain，这是开发生成性AI应用程序的重要框架。课程面向AI领域的初学者和经验丰富的从业者，首先介绍基础知识，例如OpenAI API的基本使用，逐步深入LangChain的复杂方面。您将学习LangChain中输入和输出机制的细微差别，以及如何为OpenAI模型制作有效的提示模板。课程涵盖LangChain的关键组成部分，如Chains、Callbacks和Memory，教您如何创建互动且具有上下文意识的AI系统。 课程中期，重点转向高级概念，如检索增强生成（RAG）和自主代理的创建，丰富您对智能系统设计的理解。将讨论Hybrid Search、索引API和LangSmith等主题，强调它们在提高AI应用程序的效率和功能中的作用。最后，课程将理论与实践技能结合，介绍大型语言模型（LLM）应用中的微服务架构和LangChain表达语言，确保您不仅理解概念，还能在实践中应用。 本课程专为具备基础Python知识的人士设计，旨在帮助提升其在AI领域的技能。结构化的课程大纲确保您全面掌握LangChain，从基础概念到复杂应用，为生成性AI的未来做好准备。
This course provides an in-depth exploration into LangChain, a framework pivotal for developing generative AI applications. Aimed at both beginners and experienced practitioners in the AI world, the course starts with the fundamentals, such as the basic usage of the OpenAI API, progressively delving into the more intricate aspects of LangChain.You'll learn about the intricacies of input and output mechanisms in LangChain and how to craft effective prompt templates for OpenAI models. The course takes you through the critical components of LangChain, such as Chains, Callbacks, and Memory, teaching you to create interactive and context-aware AI systems.Midway, the focus shifts to advanced concepts like Retrieval Augmented Generation (RAG) and the creation of Autonomous Agents, enriching your understanding of intelligent system design. Topics like Hybrid Search, Indexing API, and LangSmith will be covered, highlighting their roles in enhancing the efficiency and functionality of AI applications.Toward the end, the course integrates theory with practical skills, introducing Microservice Architecture in large language model (LLM) applications and the LangChain Expression Language. This ensures not only a theoretical understanding of the concepts but also their practical applications.This course is tailored for individuals with a foundational knowledge of Python, aiming to build or enhance their expertise in AI. The structured curriculum ensures a comprehensive grasp of LangChain, from basic concepts to complex applications, preparing you for the future of generative AI.
