Large Language Model(LLM)应用开发学习实践（三）

一、LLM Prompt Engineering学习（Andrew Ng & OpenAI）

（一）Principles of Prompting

Write clear and specific instructions(clear ≠ short)

Use delimiters.Such as Triple quotes """,Triple backticks ''',Triple dashes ---,Angle brackets<> and XML tags <tag></tag>.（可以让输入指令更为明确，内容与指令区分）

Ask for structured output,Such as HTML and JSON.（可以让模型回答结果结构化输出）

Check whether conditions are satisfied,Check assumptions required to do the task.（可以让模型根据提供的判断规则输出不同的回答）

Few-shot prompting.Give successful examples of completing tasks,Then ask model to perform the task.（可以让模型根据提供的对话案例保持一致的风格回答问题）
Give the model time to think

Specify the steps to complete a task(Step 1:...,Step 2:...,...,Step N:...).

Instruct the model to work out its own solution before rushing to a conclusion.

（二）Model Limitations

Hallucination(模型幻觉)

Makes statements that sound plausible but are not true.Reducing hallucinations:

Find relevant information.

Answer the question based on the relevant information.

二、Prompt Engineering Technology 部分总结

关键学习文档[2-3]中，已总结记录了更为完备的提示词工程技巧。下图仅展示常用的部分技巧及适用范围。
（引自关键学习文档[1]：whitepaper-prompt-engineering(Google)）

关键学习文档：

1\] [whitepaper-prompt-engineering(Google)](https://www.kaggle.com/whitepaper-prompt-engineering "whitepaper-prompt-engineering(Google)") \[2\] [提示简介 \| Generative AI on Vertex AI \| Google Cloud Documentation](https://docs.cloud.google.com/vertex-ai/generative-ai/docs/learn/prompts/introduction-prompt-design?hl=zh-cn "提示简介  |  Generative AI on Vertex AI  |  Google Cloud Documentation") \[3\] [Prompt-Engineering-Guide(dair-ai,GitHub)](https://github.com/dair-ai/Prompt-Engineering-Guide?tab=readme-ov-file "Prompt-Engineering-Guide(dair-ai,GitHub)") \[4\] [Prompt编写原则高级优化技巧-大模型服务平台百炼-阿里云](https://help.aliyun.com/zh/model-studio/prompt-engineering-guide "Prompt编写原则高级优化技巧-大模型服务平台百炼-阿里云") ## 网络参考资料： * [ChatGPT Prompt Engineering for Developer](https://www.youtube.com/watch?v=aaAiUIMA7d4&list=PL_VBedMuZDwACHDeJe_-GBoWJG1B2jyq6&index=1 "ChatGPT Prompt Engineering for Developer") * [提示词工程（Prompt Engineering）- Andrew Ng联合OpenAI](https://www.bilibili.com/video/BV1173jzNELG/?spm_id_from=333.788.videopod.episodes&vd_source=a17b26e6f5dce43e0b4b220aeb13a517&p=2 "提示词工程（Prompt Engineering）- Andrew Ng联合OpenAI") * [2.LangChain提示词工程应用实践_哔哩哔哩_bilibili](https://www.bilibili.com/video/BV1w9yEBNESz?spm_id_from=333.788.videopod.episodes&vd_source=a17b26e6f5dce43e0b4b220aeb13a517&p=3 "2.LangChain提示词工程应用实践_哔哩哔哩_bilibili")