Israel Ayliffe is a Visual Content Designer and AI Prompt Architect based in Atlanta, Georgia. As the Co-Founder of The Curiosity Co-Op, he specializes in transforming curiosity about AI into compelling visual storytelling.

We all have those moments when life feels a bit overwhelming. Whether it’s 2 AM existential dread or you’re just having a rough day, it’s okay to need a little support. But what if you could turn to ChatGPT for a quick boost of clarity, advice, or even just a listening ear?

Do you love AI generated images and also have someone you kinda sorta hate (or maybe a hot lover with an amazing sense of humor)? Send them a passive aggressive Valentine!

What if I told you there’s one tool that can help you with work, finances, parenting, mental health, and even meal planning—all without downloading a single app or buying a smart home device?

Learn how to befriend your chatbot, give it a name, teach it your vibe, and make every chat feel like a convo with a super-smart bestie.

In this interview, we speak with AI artist, Mario Müller, who began his journey in early 2023, blending design and digital art with cutting-edge generative tools. From experimenting with surreal compositions to refining a signature style through layered techniques, Mario shares his insights on the creative process, the challenges of working with AI models, and what’s next for him in the evolving world of AI art.

Back in the days of analog, if you wanted to watch TV, you had to manually flip through every channel to find something you might like. But now, you have streaming services like Netflix, which now seem to know exactly what movie you’d want to watch next. How does it do that?

Ever asked ChatGPT a question and gotten an answer so confidently wrong that you actually had to laugh out loud? Yup, same! It’s called an AI hallucination. Unlike the human kind (which might involve sleep deprivation and hard drugs), ChatGPT’s hallucinations happen for a few key reasons.

AI prompting is a powerful technique that influences the way generative models produce responses. By carefully structuring prompts, users can optimize the model's performance for different tasks. In this blog, we explore various prompting strategies and how they shape AI outputs, along with examples of both ineffective (bad) and effective (good) prompting.

Prompting is just a fancy word for “telling an AI what to do” in a way that makes sense to both you and the machine. Think of it like talking to a very literal genie—what you say determines what you get. The more detailed your prompt, the better the response.

Okay, buckle up, because we’re about to go on a journey through the magical world of Large Language Models (LLMs)—but don’t worry, I’m keeping this at the level of ‘barely awake before coffee’ comprehension.

DeepSeek, a new player in the artificial intelligence industry, has burst onto the scene, and let’s just say, it’s got everyone—from tech giants to casual AI users—talking. This Chinese AI startup hasn’t just disrupted the industry; it’s thrown a curveball at Nvidia and stirred up a pot of questions about technology, trust, and the future of AI. Let’s dive into why DeepSeek is either the hero we didn’t know we needed or the villain we never saw coming.

Welcome to 2024, where the world of AI prompt engineering is buzzing with innovation and excitement! If you're ready to dive into the art of crafting perfect prompts to get the best results from AI models, you're in the right place.