Learn_Prompting VS Prompt-Engineering-Guide

- 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

Guides, papers, lecture, notebooks and resources for prompt engineering: https://github.com/dair-ai/Prompt-Engineering-Guide

this has been a great resource. approachable and great for practitioners. it's frequently updated with new papers and techniques https://www.promptingguide.ai/

The idea behind prompt engineering is to construct the queries given to the language models to optimise their performance. This helps to guide them to generate the desired output by fine-tuning their response. There is a plethora of research papers out there on different forms of prompt engineering. DAIR.AI published a guide on prompt engineering that you might find useful to get started.

Prompt Engineering Guide

Let's try to understand what is Prompt Engineering is all about. Here's the quote from Prompt Engineering Guide. DAIR-AI

I found this resource [0] handy for getting a grasp on all the different terms people use (zero/one-shot, tree of thoughts, RAG, etc). It's not super detailed, but was enough for me (a professional developer) to get started on some side projects with Mistral.

[0] https://www.promptingguide.ai/

There are better guides out there too

- https://www.promptingguide.ai/readings

- https://github.com/dair-ai/Prompt-Engineering-Guide/tree/mai...

- https://github.com/microsoft/promptbase (this one is less of a guide, but is likely the current SoTA)

- https://www.promptingguide.ai