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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ai-for-js-devs/
课程评论：没有评论
AI for JavaScript Developers (OpenAI, Embeddings, Vercel AI) 课程总结 本课程旨在帮助JavaScript/TypeScript开发者掌握AI技术，将现有技能转化为构建AI驱动应用的超能力，最终成为AI工程师。 **核心学习内容：** * **生成式AI与LLM基础：** 理解生成式AI、大型语言模型（LLM）与传统AI的区别。 * **OpenAI API应用：** 学习使用OpenAI API和SDK，轻松创建聊天补全功能。 * **实战项目：** 构建一个可以接受PDF文件并回答相关问题的聊天应用。 * **AI核心概念：** 掌握聊天补全的构成、Token、系统提示（System Prompts）、提示工程（Prompt Engineering）等基本概念。 * **高级AI技术：** 学习OpenAI Functions、幻觉（Hallucinations）问题，以及如何为AI提供外部知识。 * **向量存储与Embeddings：** 了解如何利用向量存储（Embeddings）来存储大量数据，并为AI提供额外上下文。 * **实时信息获取：** 学习如何在需要时（例如从数据库获取股票信息）获取实时数据。 * **Vercel AI SDK：** 掌握Vercel AI SDK，轻松使用Next.js构建强大的AI聊天机器人。 * **Token限制处理：** 学习如何应对Token限制带来的挑战。 通过本课程，您将能够利用AI的力量，开发出更智能、更具交互性的应用程序。
With Artificial Intelligence becoming more and more accessible, we developers have access to superpowers, just one API call away. AI allows you to analyze sentiment, recommend products, personalize communications, craft chat bots and much much more.In this course, you'll learn how to take your experience as a JavaScript/TypeScript developer, and build real-world AI-powered applications. The goal is to turn you, a seasoned developer, into an AI engineer.Here's what you'll learn:What is Generative AI, LLM, and how it is different from traditional AI.How to use the OpenAI API and SDK to easily create chat completions.Build a real-world chat application that takes any PDF file and answers questions about it.Basic AI concepts such as the anatomy of Chat Completions, Tokens, System Prompts, Prompt Engineering and more.Advanced concepts such as OpenAI Functions, Hallucinations, and how to provide external knowledge to the AI.How to utilize Vector Stores (Embeddings) to store large amounts of data and provide additional context to the AI.How to fetch real-time information as needed (e.g. get stock from a database).The Vercel AI SDK and how it helps us to easily build robust AI chatbots with Next.js.Token limitation challenges and how to easily deal with them.
