In this video I am offerring up a non-technical explaination of how AI takes your text input and generates images from your specification and description to provide the highest quality imagery that is possible with current Generatice AI models. These models are created ahead of time, but are continously refined overtime by user interaction, and choices users make when picking just the right image for them. I use the pronounciation JAN for GANs because GAN is an overloaded IT term, even though the previous use is obsolete there are some of us old guys still around who might confuse GANs. In case you are wondering...a GAN used to mean Global Area Network, GaN used to mean Gallium Nitride and was a type of Semi-conductor.
AI Generated Thumbnail: based on my real image
00:00 - Intro
00:14 - Step 1: The Front End
01:04 - How AI is Trained to Generate Images
02:40 - Refining the AI Model
03:53 - Ai generated Images
05:49 - AI Model Generation for Images
06:08 - How AI Evaluates Image Quality
08:47 - Neural Networks
09:23 - Human Evaluations
10:00 - Consistency Checks
12:07 - AI Image Creation
15:18 - Advanced Techniques
16:22 - AI Replacing Creatives?
19:07 - Conclusions
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