“生成式 AI：剖析基本概念”是生成式 AI 领导者学习路线的第二门课程。在本课程中，您将探索 AI、机器学习和生成式 AI 之间的差异，了解各种数据类型如何赋能生成式 AI 来应对业务挑战，从而了解生成式 AI 的基本概念。您还将深入了解 Google Cloud 应对基础模型局限性的策略，以及负责任和安全的 AI 开发与部署面临哪些关键挑战。
生成式 AI：剖析基本概念
生成式 AI：剖析基本概念
Instructor: Google Cloud Training
Access provided by The National Institute of Engineering
Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
2 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
定义并描述生成式 AI 的核心概念。
介绍如何在生成式 AI 中使用各种数据类型来解决业务问题、推动创新并获得竞争优势。
介绍基础模型在生成式 AI 中的角色，包括其功能和局限性。
介绍 Google Cloud 推荐的应对 LLM 局限性的策略。
Skills you'll gain
Details to know
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Assessments
3 assignments
Taught in Chinese (Simplified)
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October 2025
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There are 4 modules in this course
本单元介绍生成式 AI 的关键概念及其差异，重点讨论数据与 AI 模型性能之间的关系。此外，它还介绍了不同的机器学习类型，并提供了每种类型的 Google Cloud 应用场景。
What's included
1 assignment5 plugins
本单元介绍如何在生成式 AI 中利用各种数据类型来促进创新、解决业务问题并建立竞争优势。
What's included
1 assignment3 plugins
本单元介绍了基础模型在生成式 AI 中的作用，以及它们的潜力和局限性。
What's included
1 assignment2 plugins
本单元提供课程回顾资源。
What's included
1 reading
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