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dair-ai/Prompt-Engineering-Guide

⭐ 78292 MDX added to this list on 2025-10-20 repository created 2022-12-16

The Prompt Engineering Guide by dair-ai is a comprehensive resource dedicated to the emerging discipline of prompt engineering, which focuses on developing and optimizing prompts to effectively utilize large language models (LLMs) for various applications and research. This guide serves as an extensive collection of the latest papers, lessons, notebooks, and tools related to prompt engineering, context engineering, retrieval-augmented generation (RAG), and AI agents. It aims to help researchers and developers better understand the capabilities and limitations of LLMs and design robust prompting techniques for tasks such as question answering, arithmetic reasoning, and more complex problem-solving. The project includes a well-structured web version of the guide that covers foundational topics like prompt basics, elements, and general tips, as well as advanced techniques such as zero-shot and few-shot prompting, chain-of-thought prompting, prompt chaining, tree of thoughts, and automatic reasoning. It also explores applications including function calling, data generation, synthetic datasets for RAG, code generation, and case studies. Additionally, the guide features a prompt hub with categorized prompt examples for classification, coding, creativity, evaluation, information extraction, image generation, mathematics, reasoning, and more. The repository is actively maintained and supported by DAIR.AI, which offers related self-paced courses, corporate training, consulting, and talks to complement the guide. It supports multiple languages and has a large community presence with millions of learners, social media channels, and a Discord server. The guide is continuously updated with new content, reflecting the latest advancements and best practices in prompt engineering and AI agent development. Overall, this project is an invaluable educational and practical resource for anyone interested in mastering prompt engineering and leveraging LLMs effectively in research and development.

https://github.com/dair-ai/Prompt-Engineering-Guide

agentagentsai-agentsautomatic-reasoningchain-of-thoughtchatgptclassificationcode-generationcommunityconsultingcoursescreativitydair.aidata-generationdeep-learningevaluationfew-shot-promptingfunction-callinggenerative-aiimage-generationinformation-extractionlanguage-modellarge-language-modelsllmllmsmathematicsmultilingualopenaiprompt-chainingprompt-engineeringprompt-hubprompt-techniquesragreasoningretrieval-augmented-generationsynthetic-datasetstrainingtree-of-thoughtszero-shot-prompting