Welcome to PromptGuide, a comprehensive resource for designing and optimizing system prompts for Large Language Models (LLMs). This guide is intended to help developers, researchers, and AI enthusiasts create more effective and tailored interactions with general-purpose LLMs like Mistral, LLaMA, and others.
The purpose of this repository is to provide a detailed and structured approach to crafting system prompts. It will cover various aspects such as setting objectives, defining roles, determining tone and style, applying guidelines and constraints, and iterating based on feedback.
By consolidating best practices, examples, and insights, this guide aims to be the go-to resource for anyone looking to understand and utilize the power of prompt engineering effectively.
- Introduction to Prompt Engineering
- Setting Clear Objectives
- Defining Role and Identity
- Choosing Tone and Style
- Establishing Guidelines and Constraints
- Testing and Iteration
- Case Studies and Examples
- Future Directions and Trends
- Advanced Techniques
- Best Practices
- Challenges
- Prompt Tuning
- Contributing to PromptGuide
- License
To get started, explore the topics listed in the Table of Contents. Each section provides detailed information, examples, and best practices for optimizing your system prompts.
If you're new to prompt engineering, we recommend starting with the Introduction to Prompt Engineering.
We welcome contributions from the community! Please check out our Contributing Guidelines to get started.
This project is licensed under the MIT License. See the LICENSE file for more details.