Project Title
Prompt-Engineering-Guide โ Comprehensive Resource for Prompt Engineering with Large Language Models
Overview
The Prompt-Engineering-Guide is a repository that serves as a central hub for all things related to prompt engineering, a discipline focused on optimizing prompts for efficient use of language models. It offers a wealth of resources including papers, guides, lectures, and tools, making it a unique one-stop solution for researchers and developers looking to leverage large language models (LLMs) across various applications.
Key Features
- Extensive collection of papers and learning materials on prompt engineering
- Guides and lectures for understanding and utilizing large language models effectively
- A variety of tools and references to aid in prompt engineering tasks
- Web version of the guide for easy access and navigation
Use Cases
- Researchers using prompt engineering to enhance LLMs' performance on complex tasks
- Developers designing robust prompting techniques to interface with LLMs and other tools
- Educators incorporating prompt engineering into their curriculum for teaching advanced AI concepts
Advantages
- Centralized repository for all prompt engineering resources, simplifying access and discovery
- Supports a wide range of applications, from question answering to arithmetic reasoning
- Offers self-paced courses and corporate training services, expanding learning opportunities
Limitations / Considerations
- The project's effectiveness is highly dependent on the user's understanding of language models and AI
- The guide may require continuous updates to stay current with the rapidly evolving field of AI and language models
Similar / Related Projects
- Hugging Face's Transformers: A library of pre-trained models for NLP, offering a different approach by providing ready-to-use models rather than focusing on prompt engineering techniques.
- Papers with Code: A resource for the latest AI research papers and their implementations, which can complement the theoretical knowledge provided by the Prompt-Engineering-Guide.
Basic Information
- GitHub: https://github.com/dair-ai/Prompt-Engineering-Guide
- Stars: 60,904
- License: Unknown
- Last Commit: 2025-08-20
๐ Project Information
- Project Name: Prompt-Engineering-Guide
- GitHub URL: https://github.com/dair-ai/Prompt-Engineering-Guide
- Programming Language: MDX
- โญ Stars: 60,904
- ๐ด Forks: 6,238
- ๐ Created: 2022-12-16
- ๐ Last Updated: 2025-08-20
๐ท๏ธ Project Topics
Topics: [, ", c, h, a, t, g, p, t, ", ,, , ", d, e, e, p, -, l, e, a, r, n, i, n, g, ", ,, , ", g, e, n, e, r, a, t, i, v, e, -, a, i, ", ,, , ", l, a, n, g, u, a, g, e, -, m, o, d, e, l, ", ,, , ", o, p, e, n, a, i, ", ,, , ", p, r, o, m, p, t, -, e, n, g, i, n, e, e, r, i, n, g, ", ]
๐ Related Resource Links
๐ Documentation
- Prompt Engineering Guide (Web Version)
- services
- here
- https://www.promptingguide.ai/
- Prompt Engineering - Introduction
- Prompt Engineering - LLM Settings
- Prompt Engineering - Basics of Prompting
- Prompt Engineering - Prompt Elements
- Prompt Engineering - General Tips for Designing Prompts
- Prompt Engineering - Examples of Prompts
- Prompt Engineering - Techniques
- Prompt Engineering - Zero-Shot Prompting
- Prompt Engineering - Few-Shot Prompting
- Prompt Engineering - Chain-of-Thought Prompting
- Prompt Engineering - Self-Consistency
- Prompt Engineering - Generate Knowledge Prompting
- Prompt Engineering - Prompt Chaining
- Prompt Engineering - Tree of Thoughts (ToT)
- Prompt Engineering - Retrieval Augmented Generation
- Prompt Engineering - Automatic Reasoning and Tool-use (ART)
- Prompt Engineering - Automatic Prompt Engineer
- Prompt Engineering - Active-Prompt
- Prompt Engineering - Directional Stimulus Prompting
- Prompt Engineering - Program-Aided Language Models
- Prompt Engineering - ReAct Prompting
- Prompt Engineering - Multimodal CoT Prompting
- Prompt Engineering - Graph Prompting
- Prompt Engineering - Applications
- Prompt Engineering - Function Calling
๐ฅ Video Tutorials
๐ Related Websites
This article is automatically generated by AI based on GitHub project information and README content analysis