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所在平台: Udemy |
课程主页: https://www.udemy.com/course/rag-azure/
课程评论：没有评论
**Azure OpenAI 与 ChatGPT LLM 模型中的 RAG 课程摘要** 本课程专为希望提升开发技能的开发者和 IT 专业人士设计，重点介绍使用 Azure 前沿工具和服务进行检索增强生成（RAG）的基础知识。 **课程重点：** * **理解 RAG 基础：** 学习检索增强生成的核心原理及其应用。 * **利用 Azure AI Studio：** 获得使用 Azure AI Studio 构建和部署 AI 模型的实践经验。 * **利用 ChatGPT 4 等 LLM 模型：** 集成并使用包括 ChatGPT 在内的大型语言模型，构建高级 AI 解决方案。 * **通过 AI Search 服务嵌入向量：** 掌握嵌入向量技术，并利用 Azure AI Search 服务增强搜索能力。 * **在 Azure AI Studio 中使用 RAG 流：** * **使用 Jupyter Python 笔记本：** 创建 Python 示例应用程序以执行 RAG。 完成本课程后，您将掌握有效实施 RAG 解决方案的技能，充分利用 Azure 强大的工具和服务。无论您是想晋升职业生涯还是提升技术专长，本课程都能为您在快速发展的人工智能和机器学习领域取得成功提供所需的知识和实践经验。 加入我们，在Azure中精通最新的AI技术！
Elevate your development skills with our specialized course designed for developers and IT professionals. This course focuses on the essentials of Retrieval-Augmented Generation (RAG) using Azure's cutting-edge tools and services.Throughout this course, you will:Understand RAG Fundamentals: Learn the core principles of Retrieval-Augmented Generation and its applications.Utilize Azure AI Studio: Gain hands-on experience with Azure AI Studio to build and deploy AI models.Leverage LLM models like ChatGPT 4: Integrate and utilize large language models, including ChatGPT, for advanced AI solutions.Embed Vectors with AI Search Service: Master the techniques of embedding vectors and enhancing search capabilities using Azure AI Search service.Use RAG flow with Azure AI Studio: Create your own RAG application with few clicks from the AI Studio.Use Jupiter Python notebooks: Create sample python app to perform RAG.By the end of this course, you will have the skills to implement RAG solutions effectively, leveraging Azure's powerful tools and services. Whether you're looking to advance your career or enhance your technical expertise, this course provides the knowledge and practical experience you need to succeed in the rapidly evolving field of AI and machine learning.Join us and become proficient in the latest AI technologies with Azure!
