Promptify VS Learn_Prompting

First up, a huge Thank You for making Promptify a hit with over 2.3k+ stars on Github ! 🌟

You're absolutely correct, and I agree that there's potentially a risk of quality loss. But likewise, since these are all intrinsically linked, it may be possible to leverage strength by combining these tasks. I'm unaware of a paper reviewing the reliability and/or performance of LLMs in this specific scenario. If you find any, do share :) With regards to generating JSON responses - there are simple ways to nudge the model and even validate it, using libraries such as https://github.com/promptslab/Promptify, https://github.com/eyurtsev/kor and https://github.com/ShreyaR/guardrails

Examples: https://github.com/promptslab/Promptify/tree/main/examples

In this blog, we are going to try to understand how promptify is going to be used along with LLMs(Large Language Models) to perform named entity recognition(NER).

Check Promptify for LLM https://github.com/promptslab/Promptify

Awesome project! I am working on something similar using Promptify (extending this PR -> https://github.com/promptslab/Promptify/issues/3)

- 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