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所在平台: Udemy |
课程主页: https://www.udemy.com/course/the-complete-openai-and-gpt-course-build-a-qa-chatbot/
课程评论：没有评论
Coursera 课程总结：**《OpenAI 和 GPT 完全课程：Python 实战与问答聊天机器人》** 本课程专为已掌握 Python 和 Pandas 基本知识的学习者设计，即使非高级开发者，也能理解并跟上课程进度。 **课程亮点：** * **实践驱动学习：** 从零开始构建 AI 应用，逐步添加功能，每次添加新功能前都会讲解必要理论。 * **核心技术栈：** 学习如何利用 OpenAI 的 GPT 技术、HuggingFace 和 Streamlit 构建 AI 助手。 * **GPT 与生成式 AI 基础：** 深入理解大型语言模型 (LLM)、提示工程 (Prompt Engineering)、语义搜索 (Semantic Search)、模型微调 (Finetuning) 等核心概念。 * **OpenAI API 应用：** 掌握 OpenAI API 的使用方法、最佳实践，并通过真实代码示例进行学习。 * **AI 应用开发：** * 使用 Streamlit 创建 AI 聊天机器人。 * 理解和构建意图分类器 (IntentClassifiers)。 * 精通各种提示工程技巧，评估和选择最佳提示。 * 理解词嵌入 (Word Embeddings) 概念，量化语义相似性。 * 利用向量数据库存储和检索词嵌入，构建基于语义搜索的搜索引擎。 * 进行文档实体解析 (Entity Resolution)。 * 使用 GPT 进行情感分析 (Sentiment Extraction)。 * 学习清理金融数据集以用于语义搜索。 * 嵌入金融文档并上传至向量数据库。 * 利用语言模型生成问题答案。 * 使用模型微调 (Finetuning) 减少模型“幻觉” (Hallucination)。 * 部署问答机器人和自定义动作系统。 * **资源支持：** 提供所有代码示例，包括 Google Colab Notebooks，并设有问答论坛，解决学习中的疑问。 * **硬件要求低：** 无需高端 GPU 即可学习。 **课程目标：** 完成课程后，您将能够使用 OpenAI 技术成功部署并创建您的第一个 AI 应用，并对背后的理论知识有扎实的掌握。 **立即报名，开启您的 AI 应用开发之旅！**
Note: This course assumes that you have gotten the basics of Python and Pandas down. You don't need to be an experienced Python and Pandas developer, but the ability to follow along and understand syntax is needed.Take your AI development skills to the next level with this course!In this course, you will learn how to build an AI assistant powered by OpenAI's GPT technology, HuggingFace, and Streamlit. In addition, you will learn the foundational concepts of GPT and generative AI, such as Large Language Models, Prompt Engineering, Semantic Search, Finetuning, and more. You will also understand how to use OpenAI's APIs and their best practices, with real world code samples.Unlike other courses, you will learn by doing. You will start with a blank app, and add features one at a time. Before adding a new feature, you will learn just enough theory to confidently build your app.You will get all the code samples, including Google colab notebooks, and access to the Q & A forum if you get stuck. You don't need a powerful PC or Mac that has GPUs to take this course. By the end of the course, you will be able to deploy and create your first app using OpenAI's technology, and be confident about the theoretical knowledge behind this technology. So sign up today and start building your AI powered app!What you will learn:Creating an AI chatbot with StreamlitIntentClassifiers - what they are, how to build it.Prompt Engineering: different ways of crafting the perfect promptHow to evaluate and choose the best promptThe concept of word embeddingsHow to use word embeddings to quantify semantic similarityHow to use a vector database to store word embeddingsHow to create a search engine that searches based on word embeddingsHow to perform entity resolution for documentsSentiment extraction using GPTHow to clean a finance dataset for use in a semantic searchHow to embed finance documents and upload them to a vector databaseHow to use a language model to generate answers to questionsHow to use fine-tuning to ensure the language model does not hallucinateHow to deploy a Q & A bot and a custom action system.
