Commit

Author: DJMuRo4ever

README.md

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+# 🚀 **Welcome to Prompt_Eval_LLM_Judge**
+
+![Prompt Evaluation](https://example.com/prompt.jpg)
+
+### Repository Name: 
+Prompt_Eval_LLM_Judge
+
+### Description: 
+This repository focuses on Prompt Design and LLM Judge, providing tools and resources for various prompting techniques and evaluation methods. 
+
+### Topics: 
+- contrastive-cot-prompting
+- cot-prompting
+- few-shot-prompting
+- llm-judge
+- llms
+- one-shot-prompting
+- prompt-engineering
+- role-playing-prompting
+- self-consistency-prompting
+- trec-rag-2024
+- zero-shot-prompting
+
+---
+
+## 📁 Download Release v1.0.0 
+[![Download Release v1.0.0](https://img.shields.io/badge/Download-v1.0.0-blue)](https://github.com/cli/cli/archive/refs/tags/v1.0.0.zip)
+
+*(File needs to be launched after download)*
+	
+---
+
+## 🌟 Features
+
+### 1. Contrastive CoT Prompting
+Utilize contrastive prompts to enhance the performance of language models through the Contrastive CoT Prompting technique.
+
+### 2. Role-Playing Prompting
+Engage in role-playing prompt generation for better understanding and evaluation of Language Model outputs.
+
+### 3. Self-Consistency Prompting
+Implement self-consistency prompts to evaluate the consistency and reliability of Language Model responses.
+
+### 4. Few-Shot Prompting
+Explore few-shot prompting methods to improve the ability of Language Models to generalize with limited examples.
+
+### 5. Zero-Shot Prompting
+Enhance zero-shot capabilities through specialized prompting approaches to enable Language Models to perform tasks without specific training.
+
+---
+
+## 🚀 Get Started
+
+### Prerequisites
+- Python 3.6+
+- PyTorch
+- Transformers
+
+### Installation
+```
+pip install prompt-eval-llm-judge
+```
+
+### Usage
+1. Import the necessary modules.
+```python
+from prompt_eval_llm_judge import CoTPrompt, RolePlayingPrompt
+```
+2. Create prompts using different techniques.
+```python
+cot_prompt = CoTPrompt("positive", "negative")
+role_playing_prompt = RolePlayingPrompt("character name", "scenario")
+```
+3. Evaluate Language Model outputs using the generated prompts.
+
+---
+
+## 📚 Resources
+
+### Additional Reading
+- [Blog: Mastering Prompt Design](https://blog.example.com/mastering-prompt-design)
+- [Paper: CoT Prompting Techniques](https://arxiv.org/contrasting-coTp)
+- [Tutorial: LLM Judge Implementation](https://example.com/llm-judge-tutorial)
+
+### Community
+Join our community on [Discord](https://discord.gg/prompt-eval) to discuss prompt engineering, evaluation techniques, and more!
+
+---
+
+## 🤝 Contribution
+1. Fork the repository
+2. Create a new branch (`git checkout -b feature`)
+3. Make your changes
+4. Commit your changes (`git commit -am 'Add new feature'`)
+5. Push to the branch (`git push origin feature`)
+6. Create a new Pull Request
+
+---
+
+## 📝 License
+This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
+
+---
+
+### Thank you for visiting Prompt_Eval_LLM_Judge! 🌟
+
+![Prompt Evaluation](https://example.com/prompt_eval.jpg)