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所在平台: Udemy |
课程主页: https://www.udemy.com/course/build-qa-bot-using-openai-and-chatgpt/
课程评论：没有评论
**课程名称：** 使用 OpenAI 和 ChatGPT 构建问答机器人 **课程概述：** 本课程专为对构建前沿人工智能应用感兴趣的开发者、数据科学家或人工智能爱好者设计。您将学习如何利用 OpenAI 的最新 API 端点、Node.js、Embeddings 和 GPT-3 来创建一个能够回答新闻文章内容的真实世界问答机器人。 **课程内容：** * 学习如何爬取新闻网站并收集文章文本。 * 理解机器学习中的 Embeddings 原理，并将文章文本转换为文本 Embeddings。 * 使用 Tokenizer（tiktoken）将文本分割成常见的字符序列。 * 应用余弦相似度（Cosine Similarity）来识别与用户问题最相关的 Embedding。 * 调用 OpenAI 的文本完成（Text Completion）API 来生成答案。 **将学习和使用的技术：** * Node.js * OpenAI 文本完成 API * OpenAI Embeddings API * Tokenizer (tiktoken) * 余弦相似度 (Cosine Similarity) * Web 爬虫 (Puppeteer)
Use OpenAI and ChatGPT to Build Real-World Q & A BotAre you interested in building cutting-edge AI-powered applications? Do you want to learn how to use OpenAI and NodeJS to create a real-world application? If so, then this course is for you.In this course, we will build an AI bot that can answer questions about news articles that we crawl. We will explore the latest API endpoints from OpenAI, we will learn how to use embeddings and GPT-3 in code.Whether you're a software developer, data scientist, or an enthusiast looking to explore generative AI, this course is designed to provide you with the skills and knowledge you need to develop cutting-edge AI applications. Join today and learn how to use OpenAI and ChatGPT to build a real-world Q & A bot that can answer questions about things happening in the news through text embeddings.-------In this course, you will:Learn how to crawl news websites and gather article textUnderstand how embeddings work in ML, and turn article text into text embeddingsUse tokenizer to split text into common sequences of charactersApply cosine similarity to identify the embedding most relevant to user entered questionPrompt OpenAI text completion endpoint to generate answer responsesWhat will we use/learn in this course:NodeJSOpenAI text completionOpenAI embeddingTokenizer (tiktoken)Cosine similarityWeb crawler (puppeteer)
