Welcome to the Prompt Engineering Code Repository! This repository is dedicated to providing a comprehensive collection of code snippets, examples, and utilities for prompt engineering in natural language processing (NLP) tasks. Prompt engineering is a powerful technique that enables fine-tuning and customization of language models like GPT-3.5, enabling them to generate more accurate and context-aware responses.
In the field of NLP, prompt engineering involves crafting effective instructions or context-setting phrases, known as prompts, to guide language models in generating desired outputs. This repository aims to provide you with a wide range of prompt engineering techniques, examples, and code snippets that can be directly utilized or adapted for your NLP projects.
This repository offers the following key features:
- Prompt Generation Examples: Browse through a variety of prompt generation examples, including templates, guidelines, and best practices to construct effective prompts for different NLP tasks.
- Prompt Tuning Utilities: Explore a collection of code utilities and functions designed to fine-tune prompts, optimize their parameters, and customize them for specific use cases.
- Prompt Engineering Libraries: Discover open-source libraries and frameworks specifically built for prompt engineering. These libraries provide handy tools, functions, and pre-trained models to facilitate your prompt engineering workflow.
To make the most of this repository, you can:
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Clone the repository to your local machine using the following command:
git clone https://github.com/MrGladiator14/PromptEngineering.git -
Explore the different directories and files within the repository to find the specific code snippets or examples you need.
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Follow the provided documentation and code comments to understand how to use each code snippet effectively.
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Adapt the code to your specific NLP tasks, modifying prompts, hyperparameters, or evaluation metrics as necessary.
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Contribute back to the repository by submitting pull requests to share your own prompt engineering techniques, improvements, or additional code snippets.
Contributions to this repository are highly encouraged! If you have any prompt engineering techniques, useful code snippets, or improvements to share.
We hope this repository serves as a valuable resource for your prompt engineering endeavors. Happy coding!
Note: This repository is in active development, and new features, examples, and utilities will be added regularly. Be sure to check back for updates or watch the repository for notifications.