Awesome-Prompt-Engineering and Prompt-Engineering-Guide-zh-CN
These are **complements** that serve different language communities: one is an English-language curated resource collection for prompt engineering techniques, while the other is a Chinese-language translation/localization of similar prompt engineering guidance, designed to be used together by multilingual teams or referenced in parallel for comprehensive coverage.
About Awesome-Prompt-Engineering
promptslab/Awesome-Prompt-Engineering
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
Organized by research area (reasoning, in-context learning, multimodal, agent systems) and practical tools (prompt management, LLM evaluation, agent frameworks), this collection spans 1,500+ papers with a taxonomy of 58+ prompting techniques alongside benchmarks, open-source implementations, and provider documentation. It bridges theory and practice by pairing foundational research with evaluation frameworks, red-teaming resources, and code repositories for prompt optimization, compression, and security testing.
About Prompt-Engineering-Guide-zh-CN
yunwei37/Prompt-Engineering-Guide-zh-CN
🐙 关于提示词工程（prompt）的指南、论文、讲座、笔记本和资源大全（自动持续更新）
Organizes prompt engineering knowledge across structured guides covering foundational techniques, advanced strategies, adversarial robustness, and LLM-specific applications like ChatGPT, complemented by curated research papers, tools, and datasets. The collection includes interactive Jupyter notebooks with executable code examples, video lectures, and slides demonstrating practical prompt optimization techniques for improving LLM performance on reasoning and question-answering tasks. Maintained with automated updates to track the rapidly evolving landscape of prompt engineering research and best practices.
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