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https://github.com/natnew/Awesome-Prompt-Engineering

Awesome-Prompt-Engineering - This repository includes resources for prompt engineering.
https://github.com/natnew/Awesome-Prompt-Engineering

List: Awesome-Prompt-Engineering

awesome-list deep-learning firstcontributions gpt machine-learning prompt-engineering

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

Host: GitHub
URL: https://github.com/natnew/Awesome-Prompt-Engineering
Owner: natnew
License: mit
Created: 2023-04-09T19:47:46.000Z (over 1 year ago)
Default Branch: main
Last Pushed: 2023-09-05T18:01:04.000Z (over 1 year ago)
Last Synced: 2024-11-19T21:02:40.690Z (22 days ago)
Topics: awesome-list, deep-learning, firstcontributions, gpt, machine-learning, prompt-engineering
Homepage: https://natnew.github.io/Awesome-Prompt-Engineering/
Size: 447 KB
Stars: 56
Watchers: 1
Forks: 15
Open Issues: 4
Metadata Files:
- Readme: README.md
- Contributing: Contributing.md
- License: license.md
- Code of conduct: code-of-conduct.md

Awesome Lists containing this project

awesome_gpt_super_prompting - natnew/Awesome-Prompt-Engineering - More resources on awesome prompt engineering. (🛠️ Prompt Engineering / Hall Of Fame:)

README

        # Awesome-Prompt-Engineering 

[![Awesome](https://awesome.re/badge.svg)](https://awesome.re) [![All Contributors](https://img.shields.io/github/all-contributors/natnew/Awesome-Prompt-Engineering?color=success=flat-square)](#contributors) ![GitHub last commit](https://img.shields.io/github/last-commit/natnew/Awesome-Prompt-Engineering) ![GitHub Repo stars](https://img.shields.io/github/stars/natnew/Awesome-Prompt-Engineering?style=social) ![GitHub forks](https://img.shields.io/github/forks/natnew/Awesome-Prompt-Engineering?style=social) ![Static Badge](https://img.shields.io/badge/Maintained%20-%20Yes%20-%20lightgreen) ![Static Badge](https://img.shields.io/badge/Release%20-%20PROD%20-%20lightblue) ![Static Badge](https://img.shields.io/badge/License%20-%20MIT%20-%20orange) ![Static Badge](https://img.shields.io/badge/Language%20-%20MULTI%20-%20grey)

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.🔥

---

## 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](https://natnew.github.io/Awesome-Prompt-Engineering/Introduction.html)|

| **Basic Prompting**|   Beginner-level material about designing and optimizing textual prompts used to generate or influence the output of Artificial Intelligence models. | [GitHub](https://natnew.github.io/Awesome-Prompt-Engineering/Basic_Prompting.html)|

| **Intermediate Prompting**| Intermediate-level material about designing and optimizing textual prompts used to generate or influence the output of Artificial Intelligence models.     | [GitHub](https://natnew.github.io/Awesome-Prompt-Engineering/Intermediate_Prompting.html)|

| **Advanced Prompting**| Advanced-level material about designing and optimizing textual prompts used to generate or influence the output of Artificial Intelligence models.    | [GitHub](https://natnew.github.io/Awesome-Prompt-Engineering/Advanced_Prompting.html)|

| **Image Prompting**| Material about a technique in which a machine learning model is used to generate images based on a given textual prompt.    | [GitHub](https://natnew.github.io/Awesome-Prompt-Engineering/Image_Prompting.html)|

|**Chatbot** | Provides resources on creating a chatbot. | [GITHub](https://natnew.github.io/Awesome-Prompt-Engineering/Chatbot.html)

| **AI Tools**| A collection of software, applications, frameworks, and libraries designed to support the development and implementation of Artificial Intelligence algorithms and applications.    | [GitHub](https://natnew.github.io/Awesome-Prompt-Engineering/AI_Tools.html)|

| **Talks/Slides**| Presentations, speeches, or discussions that revolve around topics related to Artificial Intelligence.     | [GitHub](https://natnew.github.io/Awesome-Prompt-Engineering/Talks_Slides.html)|

| **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](https://natnew.github.io/Awesome-Prompt-Engineering/Articles.html)|

| **Resources**| A collection of resources that provide information, guidance, and tools related to the field of Artificial Intelligence.    | [GitHub](https://natnew.github.io/Awesome-Prompt-Engineering/Resources.html)|

| **Ethical Charter**| Ethical Charter   | [GitHub](https://natnew.github.io/Awesome-Prompt-Engineering/ethical_charter.html)|

| **Glossary**| A collection of terms and definitions related to the field of Artificial Intelligence.    | [GitHub](https://natnew.github.io/Awesome-Prompt-Engineering/AI_Glossary.html)|

---

## Announcements :eyes:

##### Watch this repository to keep up-to-date with the latest updates and announcements.

|  Topic  |  Description  |  Date  | URL

| :-----:| :------------:| :----:|:--------:

|📘eBook | eBook published | 17th April 2023 | [URL](https://natashanewbold.gumroad.com/l/zctxdh)

|📘eBook | eBook published | 28th April 2023 | [URL](https://natashanewbold.gumroad.com/l/kjxpip)

|💻Website| Website is live | 2nd May 2013| [URL](https://natnew.github.io/Awesome-Prompt-Engineering/)

|📄New Page| Ethical Charter | 14th May 2023 | [URL](https://natnew.github.io/Awesome-Prompt-Engineering/ethical_charter.html)

|📚Guide|A - Z Machine Learning Guide | 15th May 2023| [URL](https://natnew.github.io/Awesome-Prompt-Engineering/ML_Guide.html)|

|🔍Cheat Sheet |ML CheatSheet | 16th May 2023| [URL](https://natnew.github.io/Awesome-Prompt-Engineering/ML_CheatSheet.html)|

---

## Prompt Engineering Ebooks, Guides and Cheat Sheets

##### [EBook: The Creative Side of AI: Mastering the Art of Prompt Engineering](https://natashanewbold.gumroad.com/l/zctxdh)

##### [Mastering Prompt Engineering: A Free eBook](https://natashanewbold.gumroad.com/l/kjxpip)

##### [A - Z Machine Learning Guide](https://natnew.github.io/Awesome-Prompt-Engineering/ML_Guide.html)

##### [ML CheatSheet](https://natnew.github.io/Awesome-Prompt-Engineering/ML_CheatSheet.html)

##### [100 Projects For Beginners Using Python](https://medium.com/@natashanewbold/100-projects-for-beginners-using-python-8b7f55bbd1ad?sk=ff4103731ceecffa845df3e632447964)

##### [An Introduction to Prompt Engineering: Key Concepts & Tips For Beginners](https://medium.com/ai-vanguard/ai-prompt-engineering-tips-for-beginners-9ccb5b54243?sk=b6a83e29c3fd82496b78f8e5849512eb)

---

## Additional Resources

  

    

         Join the Artificial Intelligence First newsletter today. You'll be kept informed about open source frameworks, carefully selected tutorials, and articles compiled by experts in artificial intelligence.

    

  

  

  

    

      Explore Awesome Data Science. A carefully curated list of awesome Data Science resources.

    

    

  

---

## More Awesome Lists

* [Awesome Data Science](https://github.com/natnew/Awesome-Data-Science)

* [Awesome ChatGPT](https://github.com/humanloop/awesome-chatgpt)

* [Awesome ChatGPT Prompts](https://github.com/f/awesome-chatgpt-prompts)

* [Awesome-LLM](https://github.com/Hannibal046/Awesome-LLM)

---

## Contributors

  

    

      
_Natasha
🎨 🐛 💻 🖋 📖 🤔 📆 💬 👀 🛡️ 🔧 🔬

      
_{Dea María Léon}
📖 🔬 💬 🤔 🔬 🖋 🤔

      
_{Bartolomeu Rodrigues}
🤔 📖 🐛

      
_ElitePete
🖋 🤔 💬 🔧

      
_Jaimboh
🔧 💬 🖋

    

  

## 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](https://allcontributors.org/) specification. Contributions of any kind are welcome!

##### Many thanks to our contributors. Want to contribute? Visit the Workflow documentation.  [here](https://github.com/natnew/Awesome-Prompt-Engineering/blob/main/Workflow.md).

## License

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