yunwei37/Prompt-Engineering-Guide-zh-CN

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.

937 stars.