Prompt-Engineering-Guide

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

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💡 Why It Matters

The Prompt-Engineering-Guide addresses the need for structured resources in prompt engineering, which is crucial for optimising AI model performance. ML and AI teams, particularly those working with generative models and language learning systems, will find this guide invaluable. It offers a comprehensive collection of guides, papers, and lessons, making it a production-ready solution for teams seeking to enhance their AI capabilities. However, it may not be suitable for teams focused on other areas of machine learning that do not involve prompt engineering. Notably, the repository has experienced significant growth, gaining 11,514 stars and achieving a 17.4% increase over 287 days, underscoring its relevance in the field.

🎯 When to Use

This repository is a strong choice when teams are looking to improve their prompt engineering techniques and require a well-curated set of resources. Teams should consider alternatives if their focus lies outside of prompt engineering or if they need more specialised tools for different aspects of AI development.

👥 Team Fit & Use Cases

Roles such as ML engineers, data scientists, and AI researchers will benefit from this guide. It is typically included in projects that involve the development of AI agents, chatbots, or any systems that leverage language models.

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🏷️ Topics & Ecosystem

agent agents ai-agents chatgpt deep-learning generative-ai language-model llms openai prompt-engineering rag

📊 Activity

Latest commit: 2026-03-11. Over the past 286 days, this repository gained 11.5k stars (+17.4% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.