2024年最新课程，专为JavaScript/TypeScript开发者设计。学习用Langchain构建RAG聊天机器人、处理私有数据，掌握嵌入向量与向量数据库核心概念，无需机器学习基础。
原始标题：GenAI – Langchain for javascript developers
Published 10/2024
Created by Amit Gupta
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 38 Lectures ( 3h 13m ) | Size: 1.62 GB
Learn Generative AI and Langchain by building real life use cases in javascript/typescript
What you’ll learn
Generative AI technology and building LLM powered applications
Langchain with Javascript/Typescript using latest Langchain version
Build RAG application using private data
Build chatbot application using LLMs
Working with different LLMs and LLM providers
Langchain: LCEL, chains, retrievers, splitters, output parsers, chat memory, langsmith
Solid understand of concepts: embeddings, vector databases, LLM parameters
Requirements
Basic JavaScript/Typescript knowledge, experience with Nodejs
Basic software engineering concepts
No machine learning experience is needed
Description
Welcome to the Generative AI Course for JavaScript Developers! This course is tailored specifically for JavaScript professionals ready to advance their careers in the rapidly growing field of generative AI. While AI and machine learning have traditionally been dominated by Python, generative AI has opened up new possibilities, allowing JavaScript developers to build high-quality, LLM powered applications.Who Should Take This Course? This course is designed for developers and architects with JavaScript and Node.js experience who are eager to build applications powered by large language models (LLMs). You’ll learn how to use JavaScript with LangChain to create generative AI applications, mastering core concepts like RAG (retrieval-augmented generation), embeddings, vector databases, and more. By the end, you’ll be equipped to develop robust generative AI applications.Course Journey: We start with setting up the development environment, creating basic applications to explore key frameworks. Then, we’ll dive into advanced topics, building real-world applications with features like retrievable augmented generation and adding conversational layers with chat history.Key Topics Covered:LangChain with JavaScript/TypeScriptLLMs: Working with top providers like AWS Bedrock, OpenAI, and AnthropicPrompts & PromptTemplatesOutput ParsersChains: Including legacy chains and LCELLLM Parameters: Temp, Top-p, Top-kLangSmithEmbeddings & VectorStores (e.g., Pinecone)RAG (Retrieval Augmentation Generation)Tools: Web crawlers, document loaders, text splittersMemory & Chat HistoryThroughout the course, you’ll engage in hands-on exercises and build real-world projects to reinforce each concept, ensuring a solid foundation in generative AI with JavaScript. By course completion, you’ll be proficient in using LangChain to develop versatile, high-performance LLM applications.What’s Included? This course is also a community experience. With lifetime access, you’ll receive:GitHub repositories with complete course codeAccess to an exclusive Discord community for support and discussion on GenAI topicsFree updates and continuous improvements at no extra costDisclaimers:This is not a beginner course; software engineering experience and proficiency in JavaScript are assumed.We will be using the VSCode IDE (though any editor is welcome).Some LLM services may require payment, but we’ll utilize free options whenever possible.
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