This repository contains implementations of over 25 prompt engineering techniques. These techniques help you craft effective prompts for AI models, enhancing the clarity and relevance of their responses.
To get started with the Prompt-Engineering-Techniques-Hub, follow these easy steps to download and run the software.
Before downloading, ensure your system meets the following requirements:
- Operating System: Windows 10 or later, macOS Mojave or later, or any Linux distribution.
- RAM: At least 4 GB
- Storage: At least 200 MB of free space
- Internet Connection: Required for downloading
- Comprehensive guide on 25+ prompt engineering techniques.
- Step-by-step examples to help you understand each technique.
- Easy-to-navigate interface for a seamless user experience.
- Regular updates to include new techniques and improvements.
To download the software, please visit our releases page:
Download Prompt-Engineering-Techniques-Hub
- Click the link above to access the Releases page.
- Look for the latest version of the software at the top of the page.
- Select the appropriate file for your operating system.
- Click on the file name to start the download.
- Locate the downloaded file on your computer.
- Double-click the file to open the application.
- Follow the on-screen instructions to begin exploring prompt engineering techniques.
For more detailed information, including advanced techniques and troubleshooting, refer to the documentation included in the downloaded software. The documentation covers:
- Overview of each technique
- Best practices for prompt creation
- Common issues and solutions
If you have questions or need assistance, please feel free to create an issue in the repository or check the FAQs in the documentation.
We plan to regularly update the repository with more techniques and features. Stay tuned for announcements on new releases.
Connect with other users and share your experiences. Join discussions on our Community Forum to learn from others and share your insights.
Your feedback is essential for us to improve. If you have suggestions or thoughts to share, please let us know through GitHub Issues.
This project is licensed under the MIT License. See the LICENSE file for more details.