Awesome-Prompt-Engineering VS Learn_Prompting

Yes, there are a lot of different resources online, especially for generative AI. The Awesome Prompt Engineering github is probably a good place to start https://github.com/promptslab/Awesome-Prompt-Engineering. If you're focusing directly on OpenAI's models then the OpenAI Prompt Engineering Guide would be my recommendation https://help.openai.com/en/articles/6654000-best-practices-for-prompt-engineering-with-openai-api.

Awesome-Prompt-Engineering

For AI art generation, a good starting point are AI prompt libraries to see results of good prompts.

[0] - https://github.com/promptslab/Awesome-Prompt-Engineering

Resource list: https://github.com/promptslab/Awesome-Prompt-Engineering

Here you will find: - 📄 Papers in different categories such as Prompt Engineering Techniques, Text to Image Generation, Text Music/Sound Generation, Text Video Generation etc. - 🔧 Tools & code to build different GPT-based applications - 💻 Open-Source & Paid APIs - 💾 Datasets - 🧠 Prompt-Based Models - 📚 Tutorials from Beginner to Advanced level - 🎥 Videos - 🤝 Prompt-Engineering Communities and Groups for discussion Resource list: https://github.com/promptslab/Awesome-Prompt-Engineering We hope it will help you to get started & learn more about Prompt-Engineering. Prompt-Engineering Course: We are launching a free and open-source Prompt-Engineering Course Soon. Join our discord for Prompt-Engineering, LLMs and other latest research discussions https://discord.com/invite/m88xfYMbK6

- https://learnprompting.org

In May 2023, our team at Learn Prompting hosted HackAPrompt, the first-ever global prompt hacking competition aimed at improving AI safety! Over 3,000 hackers competed to outsmart and trick large language models (LLMs) for their share of over $35K which was sponsored by industry leaders such as OpenAI, Scale AI, Preamble, StabilityAI, Snorkel, and Hugging Face. Their support enabled our team to collect over 600,000 adversarial prompts, which we analyzed to enhance the overall safety of large language models (LLMs).

DeepLearning.AI Prompt engineering Learn Prompting

The HackAPrompt competition, organized by Learn Prompting, challenges participants to exploit the vulnerabilities of LLMs (Large Language Models) through a process known as prompt hacking. This involves tricking the AI into expressing unintended outputs, specifically the phrase "I have been PWNED", while abiding by strict rules regarding punctuation and additional characters.

I’m always curious in learning about how others uses ChatGPT. It’s awesome that there’re lots of online tutorials (eg book, website and course) teaching about prompt engineering. Most of them follow a single Q & A style, that’s one question followed by a single answer, which is great and useful. However, I’m more interested in seeing longer form of conversations with better context. And it’s great that ChatGPT added the feature to share chats. I created an directory website/community for this, so that we can all discover, share and be creative.

Solid website on prompting

Midjourney - An old dog in the new industry. Text to art, learn prompting to get better results.

https://learnprompting.org/ only thing you'll ever need...and all free

You can start here here