$ show dair-ai/Prompt-Engineering-Guide
The Prompt Engineering Guide is a comprehensive, multilingual documentation site built with Next.js and Nextra that serves as an educational resource for prompt engineering with large language models. While the site itself is a web application, its core value lies in the extensive collection of tutorials, technique explanations, model-specific guides, and research summaries that constitute a structured knowledge base on effective LLM prompting. The repository includes interactive Jupyter notebooks that demonstrate practical applications of techniques like PAL, RAG, and ReAct, alongside hundreds of MDX pages covering topics from basic prompting to advanced agent building. Content is available in numerous languages, reflecting a commitment to global accessibility. The site features custom UI components for enhanced usability, such as announcement bars, course promotions, and copy-to-clipboard functionality, but these serve primarily to facilitate access to the educational content. Despite being actively maintained, the guide faces challenges typical of rapidly evolving fields: content requires frequent updates to keep pace with new LLM releases and research findings, and the multilingual nature increases the risk of translation drift. External links to papers, videos, and tools may also become stale over time. Nevertheless, the repository remains a valuable reference for practitioners and researchers seeking to understand and apply prompt engineering principles.
The LLM identified 1 files worth highlighting for reuse:
This notebook demonstrates the Program-Aided Language Models (PAL) technique, where LLMs generate intermediate code snippets that are executed by an external interpreter (e.g., Python) to improve reasoning accuracy. It shows how to integrate LLMs with code execution for tasks like mathematical reasoning and data manipulation. The pattern is reusable across different LLMs and tasks, requiring only the adaptation of the prompt template and the execution environment.