January 2026
Intermediate to advanced
250 pages
3h 59m
Chinese
Overview
本作品已使用人工智能进行翻译。欢迎您提供反馈和意见：translation-feedback@oreilly.com
在当今的人工智能领域，成功不仅取决于提示大型语言模型，还取决于将它们协调成可扩展性、合规性和成本效益高的智能系统。GenAI on Google Cloud》是您弥补这一差距的实践指南。无论您是 ML 工程师还是企业领导者，本书都能为您提供实用的游戏计划，帮助您将代理系统从原型推向生产。
本指南由在 AgentOps、数据工程和 GenAI 基础设施方面拥有丰富经验的从业人员撰写，将带您了解从数据准备和部署到协调和集成的真实工作流程。通过具体的实例、经过现场测试的框架和真实的见解，您将学会如何构建可提供可衡量业务价值的代理系统。
- 使用系统化的部署框架，消除阻碍 90% 垂直人工智能计划的生产差距
- 通过对协调、评估和负责任的人工智能实践的实用指导，了解 AgentOps 的复杂性
- 利用成熟的代理架构，为文本、图像和视频构建强大的多模态系统
- 通过成本管理、性能调整和生产监控策略优化规模
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