Designing with AI: ‘prompts’ are the new design tool

I am sure by now you have heard about AI image generators like <a href="https://www.midjourney.com/home/" rel="noopener ugc nofollow" target="_blank">Midjourney</a>, <a href="https://openai.com/dall-e-2/" rel="noopener ugc nofollow" target="_blank">Dall-E</a>, <a href="https://huggingface.co/spaces/stabilityai/stable-diffusion" rel="noopener ugc nofollow" target="_blank">Stable Diffusion</a>, <a href="https://nightcafe.studio/" rel="noopener ugc nofollow" target="_blank">Nightcafe</a> etc. Irrespective of which tool you use, what’s surprising is the fact that now you can give simple text instructions to a machine and it will generate some amazing images for you like the example above. But you must also be wondering, then why is it that not everyone is able to produce these stunning images we see from others on <a href="https://www.midjourney.com/showcase/" rel="noopener ugc nofollow" target="_blank">Midjourney showcase</a> or <a href="https://www.instagram.com/explore/tags/midjourney/" rel="noopener ugc nofollow" target="_blank">Instagram</a>. <h1>Introducing “Prompt Engineering”</h1> The answer lies in what is known as — Prompt Engineering. Prompt Engineering is the concept in Natural Language Processing (NLP). Usually machine learning models are trained using millions and millions of data points and they start forming their own knowledge base, so one can never really figure out what the machine has learned. The best way to know what the machine knows is to craft different prompts and see what output we get. The art of generating desired images through these Text-to-Image generators lies in gaining a good understanding of this knowledge. This is where Prompt Engineers come into the picture. <a href="https://uxdesign.cc/prompts-are-the-new-design-tool-caec29759f49">Click Here</a>