Prompt Engineering
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Prompt Engineering
Overview :
Prompt Engineering is a cutting-edge technology in the field of artificial intelligence that is transforming how we interact with AI technologies. This open-source project aims to provide a platform for both beginners and seasoned practitioners to learn, build, and share Prompt Engineering techniques. The project includes a variety of examples ranging from basic to advanced levels, aimed at fostering learning, experimentation, and innovation in the field of Prompt Engineering. Additionally, it encourages community members to share their innovative techniques, collectively advancing the development of Prompt Engineering.
Target Users :
The target audience includes both beginners and experienced practitioners in the AI field, who can use this resource library to learn how to interact more effectively with large language models and enhance the performance of AI applications.
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Top Region: US(19.34%)
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Use Cases
Demonstrating single-turn and multi-turn prompts using OpenAI's GPT model and LangChain
Solving complex problems through Chain of Thought (CoT) prompt techniques
Utilizing LangChain's PromptTemplate for structured prompts to achieve constraints and rule-based generation.
Features
Provides tutorials and implementations for Prompt Engineering techniques from basic to advanced levels
Covers a wide range of examples from fundamental prompt structures to cutting-edge techniques
Offers step-by-step tutorials and comprehensive documentation
Provides practical and usable prompt implementations
Regularly updates with the latest advancements in Prompt Engineering
Allows community members to share their own Prompt Engineering creations.
How to Use
1. Clone the repository to your local machine: git clone https://github.com/NirDiamant/Prompt_Engineering.git
2. Navigate to the section of interest: cd all_prompt_engineering_techniques
3. Follow the detailed implementation instructions in each technical notebook
4. If you have new techniques or suggestions for improvement, you can fork the repository, create a feature branch, submit changes, push to the branch, and initiate a pull request.
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