Hey Everyone. It's fantastic to see so many of you here and interested in AI. 😁 We have been a bit silent in this group, as we have been working on building out a platform with a personalized user experience. We started this group on Skool, as it was a simple way to start. We want to create a smooth and easily accessible learning experience. With the content and structure we have, we thought it best to build it out ourselves. We would love to invite you to the new platform: https://promptengineer.net/communities/groups/prompt-engineering-community/home?invite=667aa47f6dfacf150a731e3c We understand it's a bit of a hassle changing platforms. Not much will change from your side when you join. There will be a space for conversation and plenty of lessons to go through on the topic of AI. We would love to have you there and if you're not into it, no hard feelings. 🤗 Keep creating and always remember to have fun. ☀️

Hi all! How are you all doing? I am new in this community.

I'm sure we've all seen the latest AI software dropped by Luma AI. Have you had a chance to play with it yet? Their servers are definitely overloaded at the moment, as the queue is loooong. For those who haven't seen this yet: https://lumalabs.ai/dream-machine/creations

I wasn't sure if I should have written this tutorial. People may misunderstand. But I've spent over almost $10K a month in API calls in the last 27 months, and I am committed to showing my findings no matter what. One of these are the concept of Prompt Keywords or "magic words". Some are obvious, but some not so much. What are these Prompt Keywords? 💡 Prompt keywords act like "magic words" that guide the language model towards specific paths within its knowledge graph. ⚡️ Prompt keywords are categorized into general/generic and specific types, each serving distinct purposes in improving the model's output quality. 🧬 General keywords provide a broad framework, while specific keywords cater to particular domains or use cases. 🌠 Prompt keywords can highlight paths, skip steps, and provide contextual cues to steer the model towards less obvious but still valid connections. 🧠 Prompt keywords can take various forms, including contextual enhancers, task-specific cues, polarity indicators, disambiguators, and more. 🚀 The structure and length of the prompt can also act like magic words, influencing the model's behavior. https://promptengineering.org/what-are-prompt-keywords-or-magic-words/ Please review the article and let me know what you think! 0

I wanted to share something really cool that I think you'll love – it's called Noterz.com. I built it and I'd like to share it with you guys for testing and suggestions. If you're anything like me, you probably spend a lot of time on YouTube trying to sift through all those videos to find the gems. Well, Noterz.com makes that whole process a breeze (at least so far for me). You just paste the URL of any YouTube video here, and you’ll get a detailed summary sent straight to your inbox. It’s like having your own personal note-taker for all those tutorials, lectures, and how-to videos. No more wasting time on videos that aren't worth it, no more forgetting about something you heard in a video etc. just search your email. Why I’m hooked on Noterz.com: ✅ Save time with quick video summaries. ✅ AI gives you surprising insights on news topics etc. become more interesting lol ✅ Organize your learning with a personal repository. ✅ No extra apps – just your trusty email. As a bonus, it posts the summaries and notes to the main website so you can browse videos and notes that might be interesting. It's still in development so be gentle with it. Feedback and suggestions are welcomed.