A Guide to Prompt Engineering: How to Use Large Language Models for Various Tasks
Awesome Prompt Engineering is a GitHub repository that contains a hand-curated collection of resources for prompt engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM and other large language models.
Prompt engineering is the art and science of crafting effective inputs and outputs for language models to perform various tasks, such as text generation, classification, summarization, reasoning, and more.
If you are looking for papers, tools, code, APIs, datasets, models, AI content detectors, educational materials, videos, books, or communities related to prompt engineering, this repository is for you.
Why should you use Awesome Prompt Engineering?
Awesome Prompt Engineering is a valuable resource for anyone who wants to learn more about prompt engineering, or apply it to their own projects.
Whether you are a beginner or an expert, a researcher or a practitioner, a student or a teacher, you will find something useful and relevant in this repository. Here are some of the benefits of using Awesome Prompt Engineering:
- You can save time and effort by accessing a comprehensive and up-to-date list of prompt engineering resources in one place, instead of searching the web or browsing multiple websites.
- You can discover new and interesting resources that you might not have known about before, such as papers, tools, code, APIs, datasets, models, AI content detectors, educational materials, videos, books, or communities.
- You can learn from the best practices and examples of prompt engineering, and get inspired by the creative and innovative applications of large language models.
- You can improve your skills and knowledge of prompt engineering, and stay updated with the latest developments and trends in the field.
- You can join a community of prompt engineering enthusiasts, and share your feedback, questions, ideas, or suggestions with other users.
How can you use Awesome Prompt Engineering?
Awesome Prompt Engineering is easy to use and navigate. You will see a README file that contains the table of contents and the list of resources.
You can click on the links to go to the specific categories or subcategories of resources or scroll down to browse the whole list.
You can also use the search function to find the resources you are looking for.
You can use the resources in Awesome Prompt Engineering for various purposes, such as:
- Learning the basics and advanced concepts of prompt engineering, and understanding the challenges and opportunities in the field.
- Finding the best tools and code for prompt engineering, and using them to create, test, and optimize your prompts.
- Exploring the different APIs and models for prompt engineering, and using them to access and interact with large language models.
- Discovering the datasets and AI content detectors for prompt engineering, and using them to train, evaluate, and improve your prompts and outputs.
- Reading the papers and books on prompt engineering, and gaining insights and knowledge from the research and literature in the field.
- Watching the videos and tutorials on prompt engineering, and learning from the demonstrations and explanations of prompt engineering techniques and applications.
- Joining the communities and courses on prompt engineering, and connecting with other prompt engineering enthusiasts and experts.
You can also contribute to Awesome Prompt Engineering by following the guidelines in the contributing.md file. You can add new resources, suggest improvements, or report issues by creating pull requests or issues on GitHub.
