共 3 条相关资源。
吴恩达与 Isabel Kloumann 合作的提示词工程短课：总结、推断、转换、扩展四大范式，配套 Jupyter 实操，两小时建立提示词的工程化思维。A short prompt engineering course by Andrew Ng: four paradigms — summarize, infer, transform, expand — with hands-on Jupyter notebooks.
OpenAI 官方提示词工程指南：策略与案例覆盖指令清晰度、分隔符、少样本、思维链与系统化测试，是写 GPT 提示词的权威参考。OpenAI's official prompt engineering guide: strategies and examples covering clarity, delimiters, few-shot, chain-of-thought and systematic testing.
Brex 工程团队的提示词工程指南：从基本原则到部署、评测与维护的全生命周期视角，比入门教程更贴近生产环境的复杂现实。Brex's prompt engineering guide covering the full lifecycle — principles, deployment, evaluation and maintenance — closer to production reality.