Learning Prompt

Learning Prompt is a free open-source educational project providing structured courses and practical guides on prompt engineering for ChatGPT and other AI language models, designed to help users communicate effectively with AI tools to achieve better results in writing, coding, analysis, and creative tasks. The curriculum begins with foundational concepts explaining how language models interpret instructions, context, and constraints, then progresses through intermediate techniques including few-shot prompting, chain-of-thought reasoning, role-playing prompts, and structured output formatting. The advanced sections cover complex patterns including prompt chaining for multi-step workflows, retrieval-augmented generation strategies, and systematic approaches to debugging and optimizing prompts for specific use cases. The practical examples cover real-world applications including email writing, content summarization, code generation, data analysis, creative writing, and research assistance, with before-and-after comparisons showing how prompt structure affects output quality. The prompt library provides a growing collection of tested, categorized prompt templates that users can adapt for their own workflows. The framework comparisons evaluate different approaches to structured prompting including the CRISPE framework and other methodologies. The course is available in both Chinese and English with regular updates reflecting new AI capabilities. Designed for knowledge workers, content creators, developers, students, and anyone seeking to improve their effectiveness with AI language model tools.