Generative AI: OpenAI API, ChatGPT, and GPT-4 in Python

本课程《用生成式AI赋能你的业务：掌握 OpenAI API、ChatGPT、RAG 与视觉AI》由知名的 Lazy Programmer 团队倾力打造，专为具备Python基础的开发者、AI从业者与企业技术决策者设计，全面讲解如何将生成式AI应用于实际业务场景中。

你将学习：

如何使用 OpenAI API 与 ChatGPT API 构建智能对话系统（含上下文记忆功能）
精通 提示词工程（Prompt Engineering），实现结构化输出、情感分析、翻译、总结、问答、创作等任务
实战掌握 RAG（检索增强生成），结合自有数据实现更真实可靠的AI问答系统
使用 FAISS 实现语义相似度搜索，提升数据检索与知识库匹配能力
掌握 ChatGPT微调技术（Fine-Tuning），让模型更贴合你的业务需求
探索 GPT-4 Vision 能力，实现图文联合分析，如图片识别、手写识别、自动写文案、网页设计等高阶应用

课程结合真实项目案例，如客服机器人、自动化内容生成、AI股票策略等，帮助你构建实用且具备商业价值的AI系统。

适合人群：

具备Python开发能力的开发者与AI工程师
希望将AI应用于产品、运营、客户服务、内容创作的企业主与从业者
想系统掌握生成式AI关键技术栈的学习者

立即加入，全面掌握GenAI从API调用、提示设计、RAG、微调到GPT-4视觉的应用方法，打造属于你的下一代AI解决方案！

英文原版介绍

Empower Your Business With GenAI, Artificial Intelligence, Machine Learning, & Data Science

What you’ll learn:

How to setup and use the OpenAI API with ChatGPT
How to effectively use prompt engineering
RAG (retrieval-augmented generation) with the OpenAI Embeddings API
FAISS (Facebook AI Similarity Search)
How to Fine-Tune ChatGPT

Requirements:

Python programming

Description:

Welcome to the forefront of artificial intelligence with our groundbreaking course on Generative AI (GenAI), the OpenAI API, and the ChatGPT API. This course is a must-have if you want to know how to use this cutting-edge technology for your business and work projects.This course contains 5 main sections:Basic API Usage: All the fundamentals: signup for an account, get your API key, set environment variables on Windows / Linux / Mac, using the API in Python, setup billing, understand the pricing model, and OpenAI’s usage policies. Of note is the chatbot tutorial, which goes over how to incorporate chat history into the model so that ChatGPT “remembers” what it said to you previously. A customer service chatbot will serve as a running example throughout this course.Prompt Engineering: All about how to make ChatGPT do what you want it to do. We’ll explore various example use-cases, such as getting ChatGPT to output structured data (JSON, tables), sentiment analysis, language translation, creative writing, text summarization, and question-answering. We’ll explore techniques like chain-of-thought (CoT) prompting, and we’ll even look at how to use ChatGPT to build a stock trading system!Retrieval Augmented Generation (RAG): Learn how to incorporate external data into LLMs. This powerful technique helps mitigate a common problem called “hallucination”. It’s critical if you have proprietary data (like product info for your company) that your LLM doesn’t know about. You’ll learn how semantic search / similarity search works, and how to implement it using FAISS (Facebook AI Similarity Search library).Fine-Tuning: Learn how to “train” ChatGPT on your own dataset so that it behaves the way you want it to. Sometimes prompt engineering and RAG won’t cut it.GPT-4 with Vision: Everything in this course can be done with GPT-4, but what makes GPT-4 (and GPT-4 Turbo) special is its vision capabilities. That is, it can understand images. In this section, we’ll explore many of the amazing applications of combined text-image understanding, some of which include automated homework grading, explaining memes and humor, handwriting transcription, web development, game development, and writing product descriptions based on images (business owners – you already know how this will skyrocket your productivity).Throughout this course, you’ll engage in hands-on exercises, real-world applications, and expert guidance to solidify your understanding and mastery of generative AI concepts. Whether you’re a seasoned developer, aspiring AI enthusiast, or industry professional, this course offers a transformative experience that will empower you to harness the true potential of AI.Are you ready to embark on this exhilarating journey into the future of AI? Join us and unlock the endless possibilities of Generative AI today!Suggested Prerequisites:Python coding

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