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Prompt-Engineering-Guide-Cn /guides / prompts-intro.md Latest commit kulame feat: 跟进prompts-intro Mar 1, 2023 cd66040·Mar 1, 2023 History History 提示工程介绍 提示工程是一门相对较新的学科,旨在开发和优化提示,以有效地使用语言模型(LLM)完成各种应用和研究课题。提示工程技能有助于更好地理解大型...
Markettechpost - Best Free Prompt Engineering Resources (2023) If you are using the guide for your work or research, please cite us as follows: @article{Saravia_Prompt_Engineering_Guide_2022, author = {Saravia, Elvis}, journal = {https://github.com/AdamLeeN/Prompt-Engineering-Guide}, mont...
Prompt engineering is the process of designing and fine-tuning the input text prompts that are used to train and evaluate text-to-image models. The goal of prompt engineering is to create prompts that are both diverse and representative of the types of images that the model will be used to...
一、吴恩达《ChatGPT Prompt Engineering for Developers》课程中文版,主要内容为指导开发者如何构建 Prompt 并基于 OpenAI API 构建新的、基于 LLM 的应用,包括: · 书写 Prompt 的原则; · 文本总结(如总结用户评论); · 文本推断(如情感分类、主题提取); · 文本转换(如翻译、自动纠错); · 扩展(如书写邮件...
Prompt Engineering: The Career of Future Prompt engineering davinci-003 on our own docs for automated support (Part I) Prompt Engineering Guide: How to Engineer the Perfect Prompts Prompt Engineering in GPT-3 Prompt Engineering Template Prompt Engineering Topic by GitHub Prompt Engineering: The Ultim...
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由吴恩达老师与 OpenAI 合作推出的 《ChatGPT Prompt Engineering for Developers》教程面向入门 LLM 的开发者,深入浅出地介绍了对于开发者,如何构造 Prompt 并基于 OpenAI 提供的 API 实现包括总结、推断、转换等多种常用功能,是入门 LLM 开发的经典教程。因此,我们将该课程翻译为中文,并复现其范例代码,支持国内中文...
There are two broad buckets that prompt engineering approaches fall into. Give a Bot a Fish The “give a bot a fish” bucket is for scenarios when you can explicitly give the bot, in the hidden context, all of the information it needs to do whatever task is requested of it. ...
Prompt Engineering: The Career of Future Prompt engineering davinci-003 on our own docs for automated support (Part I) Prompt Engineering Guide: How to Engineer the Perfect Prompts Prompt Engineering in GPT-3 Prompt Engineering Template Prompt Engineering Topic by GitHub Prompt Engineering: From Word...