AI工程:Prompt
如何高效编写 prompt
揭示通过精妙Prompt唤醒GPT逻辑,探索zero-shot、few-shot和\x26#39;Chain of thought\x26#39;应用,预测Prompt Engineering未来,开启AI探索之旅。
不写代码也能年薪百万?Prompt+低代码开发实战
鹅厂前端大牛聊 Prompt 工程与低代码开发。
手把手教你用Stable Diffusion写好提示词
Stable Diffusion 技术把 AI 图像生成提高到了一个全新高度,文生图 Text to image 生成质量很大程度上取决于你的提示词 Prompt 好不好。本文从“如何写好提示词”出发,从提示词构成、调整规则和 chatGPT 辅助工具等角度,对文生图的提示词输入进行归纳总结。
浅尝prompt咒语设计:one-shot微调chatglm-6b实践信息抽取
近期以chatgpt等文生成LLMS爆火,国内也逐渐开源了中文版的chatgpt,本文以清华大学开源的6b的chatglm为例,实践one-shot微调,设计prompt咒语在信息抽取领域的实验效果。
50+ ChatGPT Prompts for Web Developers
If you're tired of tedious and repetitive coding tasks and want to optimize your efficiency, you're in the right place. With the power of ChatGPT, you can streamline your workflow, reduce errors, and even gain insights on improving your code.
In this blog post, we'll provide you with over 50 prompts and strategies that will help you speed up your web development workflow using ChatGPT. From learning concepts as a beginner to preparing for interviews, you'll find everything you need to make the most of AI as a web developer.
But first, it's important to understand ChatGPT's limitations. Although it's a powerful tool, ChatGPT can't substitute your own knowledge and skills. You should also fact-check any research it does for you, as ChatGPT can't verify facts. Furthermore, its training data is only up to 2021, so it may not be aware of current trends or events. With those caveats in mind, let's dive into the exciting world of AI-powered web development!
Reverse Prompt Engineering for Fun and (no) Profit
Pwning the source prompts of Notion AI, 7 techniques for Reverse Prompt Engineering... and why everyone is wrong about prompt injection.
Prompt逆向工程,破解小红书文案生成器
一种全新的对抗形式出现了。
我问了鹅厂程序员:你们工作中怎么用ChatGPT?如何高效Prompt?
GPT可以在这些场景帮助程序员工作?AI的正确打开方式:prompt怎么做?
Hard Prompts Made Easyで、画像生成AIのpromptを簡単にする
今回ご紹介するのは、画像生成AIのプロンプトを短くし、かつ画像とプロンプトの類似度を高めるHard Prompts Made Easy という技術です。
一种基于Prompt的通用信息抽取(UIE)框架
本文将为大家介绍一种基于Prompt的通用信息抽取框架,实验表明该模型具备优秀的小样本微调能力。
prompt 综述
prompt的初衷是能够运用于zero shot和few shot的场景,使得语言模型可以在预训练阶段利用尽可能多的信息进行训练,后续也能最大效率的发挥其作用。