October 2025
Intermediate to advanced
508 pages
6h 6m
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
生成式人工智能赋予了强大的新能力，但同时也存在一些严重局限性——若想交付可靠的应用程序或智能体，这些问题必须解决。值得庆幸的是，该领域的专家们已汇编出32种经过实践验证的设计模式，用于应对使用 LLMs 构建应用时可能遇到的挑战，例如幻觉、非确定性响应和知识截断等问题。
本书将研究成果与实战经验凝练为可直接应用于项目的建议。每种模式均阐述具体问题，通过完整代码示例展示经实践验证的解决方案，并探讨其权衡取舍。
- 围绕LLMs的局限性进行设计
- 确保生成内容遵循特定风格、语调或格式
- 在平衡各类风险的同时最大化创造力
- 构建具备规划、自我修正、执行行动及协同运作能力的智能体
- 将模式组合为智能体应用，满足多样化使用场景
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