生成式 AI 应用可以提供大语言模型 (LLM) 问世前几乎不可能实现的全新用户体验。作为应用开发者,您要如何利用生成式 AI 在 Google Cloud 上构建更具吸引力且功能强大的应用?
在本课程中,您将了解生成式 AI 应用,以及如何利用提示设计和检索增强生成 (RAG) 技术,构建使用 LLM 的强大应用。您将了解可用于生产用途且适合生成式 AI 应用的架构,并构建一个基于 LLM 和 RAG 的聊天应用。
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描述基于生成式 AI 的应用类型和应用场景。
描述如何构建提示模板以提升应用中的模型响应质量。
描述 Google Cloud 上支持 RAG 的生成式 AI 应用架构的子系统。
构建基于 LLM 和 RAG 的聊天应用。
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April 2025
3 assignments
生成式 AI 应用可以提供大语言模型 (LLM) 问世前几乎不可能实现的全新用户体验。作为应用开发者,您要如何利用生成式 AI 在 Google Cloud 上构建更具吸引力且功能强大的应用?
在本课程中,您将了解生成式 AI 应用,以及如何利用提示设计和检索增强生成 (RAG) 技术,构建使用 LLM 的强大应用。您将了解可用于生产用途且适合生成式 AI 应用的架构,并构建一个基于 LLM 和 RAG 的聊天应用。
在本单元中,您将了解生成式 AI 应用,以及可以利用生成式 AI 的强大功能的应用类型。您还将了解 Google 提供的基础模型,以及在应用中使用生成式 AI 会遇到的挑战。
1 assignment5 plugins
在本单元中,您将了解生成式 AI 提示。提示是一条自然语言请求,会提交到语言模型,让模型给出回答。您可以通过设计提示,改进模型返回的结果。
1 assignment5 plugins
在本单元中,您将尝试使用 Vertex AI Studio。Vertex AI Studio 提供的工具可让您快速进行原型设计,利用自己的数据调优模型并无缝部署到应用中。您将探索 Gemini 的多模态功能,设计提示,并生成对话。
1 video1 app item
在本单元中,您将了解如何提高基础模型准确率。您将了解检索增强生成 (RAG),这是一种利用外部知识源来接地基础模型的技术。您还将了解 Google Cloud 上支持 RAG 的生成式 AI 解决方案架构示例。
1 assignment6 plugins
在本单元中,您将构建一个使用大语言模型 (LLM) 和检索增强生成 (RAG) 的聊天应用,该应用可以实现富有吸引力且信息量充足的对话。
1 app item
课程 PDF 文件链接
1 reading
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