Awesome-Prompt-Engineering

Awesome-Prompt-Engineering - This repository includes resources for prompt engineering.

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Awesome-Prompt-Engineering

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Prompt engineering is a critical component of AI development that has become increasingly important in recent years. It involves the creation of effective prompts to help AI models understand user input, enabling them to generate more accurate and useful responses. As the capabilities of AI systems continue to expand, prompt engineering has emerged as a key area of focus for developers and researchers alike.

Effective, prompt engineering requires a deep understanding of natural language processing, machine learning, and user behaviour. By developing intelligent algorithms and techniques for generating relevant and informative prompts, AI developers can enhance the accuracy and usefulness of their systems. As AI continues to play an increasingly important role in our lives, the importance of prompt engineering is only set to grow, making it an area of significant interest for AI enthusiasts and professionals alike. So, if you're an AI enthusiast looking to stay at the forefront of this rapidly-evolving field, be sure to like, watch, and share this repository to stay up-to-date with the latest developments in prompt engineering and beyond.πŸ”₯


Contents

Name Description URL
Introduction An Introduction to designing and optimizing textual prompts used to generate or influence the output of Artificial Intelligence models. GitHub
Basic Prompting Beginner-level material about designing and optimizing textual prompts used to generate or influence the output of Artificial Intelligence models. GitHub
Intermediate Prompting Intermediate-level material about designing and optimizing textual prompts used to generate or influence the output of Artificial Intelligence models. GitHub
Advanced Prompting Advanced-level material about designing and optimizing textual prompts used to generate or influence the output of Artificial Intelligence models. GitHub
Image Prompting Material about a technique in which a machine learning model is used to generate images based on a given textual prompt. GitHub
Chatbot Provides resources on creating a chatbot. GITHub
AI Tools A collection of software, applications, frameworks, and libraries designed to support the development and implementation of Artificial Intelligence algorithms and applications. GitHub
Talks/Slides Presentations, speeches, or discussions that revolve around topics related to Artificial Intelligence. GitHub
Articles AI articles are written pieces of content that explore topics related to Artificial Intelligence. These articles cover various subjects such as AI technologies, applications, research, trends, challenges, and ethical considerations. GitHub
Resources A collection of resources that provide information, guidance, and tools related to the field of Artificial Intelligence. GitHub
Ethical Charter Ethical Charter GitHub
Glossary A collection of terms and definitions related to the field of Artificial Intelligence. GitHub

Announcements :eyes:

Watch this repository to keep up-to-date with the latest updates and announcements.
Topic Description Date URL
πŸ“˜eBook eBook published 17th April 2023 URL
πŸ“˜eBook eBook published 28th April 2023 URL
πŸ’»Website Website is live 2nd May 2013 URL
πŸ“„New Page Ethical Charter 14th May 2023 URL
πŸ“šGuide A - Z Machine Learning Guide 15th May 2023 URL
πŸ”Cheat Sheet ML CheatSheet 16th May 2023 URL

Prompt Engineering Ebooks, Guides and Cheat Sheets

EBook: The Creative Side of AI: Mastering the Art of Prompt Engineering
Mastering Prompt Engineering: A Free eBook
A - Z Machine Learning Guide
ML CheatSheet
100 Projects For Beginners Using Python
An Introduction to Prompt Engineering: Key Concepts & Tips For Beginners

Additional Resources

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Contributors

Natasha
Natasha

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Dea MarΓ­a LΓ©on
Dea MarΓ­a LΓ©on

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Bartolomeu Rodrigues
Bartolomeu Rodrigues

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ElitePete
ElitePete

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Jaimboh
Jaimboh

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Contributions ⭐

We believe that feedback and suggestions are crucial to improving our content and making it more useful for our readers. That's why we encourage you to share your thoughts with us and let us know what you think about our content.

Your feedback can help us identify areas where we can improve and provide more value to our readers. Whether you have suggestions for new topics, ideas for interactive elements, or feedback on our existing content, we would love to hear from you.

By sharing your thoughts and ideas with us, you can help shape the direction of our GitHub repo page and make it a more valuable resource for the prompt engineering community. So please don't hesitate to reach out and let us know what you think. We're looking forward to hearing from you!

This project follows the all-contributors specification. Contributions of any kind are welcome!

Many thanks to our contributors. Want to contribute? Visit the Workflow documentation. here.

License

See the LICENSE file for license rights and limitations (MIT).