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Prompt Engineering Repository

This repository offers tutorials and implementations for mastering Prompt Engineering techniques for AI applications.

Introduction

Introduction to Prompt Engineering Repository

This GitHub repository hosts a comprehensive collection of tutorials and implementations focused on prompt engineering techniques, designed to guide users from fundamental concepts to advanced strategies. The key features of this repository include:

  • Extensive Collection: Access a robust set of tutorials, encompassing key concepts and hands-on Jupyter Notebook implementations, suitable for learners of all levels.
  • Focus on Practicality: Each tutorial emphasizes practical applications and optimizations, allowing easy integration into AI projects.
  • Community Collaboration: Join a vibrant community that encourages sharing of innovative prompt engineering techniques, fostering collaboration and learning.
  • In-depth Guides: For those seeking deeper knowledge, the repository offers resources and guides that cover everything from basic prompt structures to advanced strategies.

Users can explore numerous techniques such as Zero-Shot Learning, Few-Shot Learning, Chain of Thought prompting, and many others, along with their practical applications in the burgeoning field of AI.

Information

  • Publisher
    AISecKit
  • Websitegithub.com
  • Published date2025/04/28

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