https://every.to/p/how-ai-image-models-work
By drawing an analogy to a children’s game where noise in sentences must be corrected to reveal coherent plots, Zicherman elucidates how AI models iteratively remove noise from images to generate clear visuals. The process involves training AI to recognize patterns in noisy data and directing it with specific textual prompts to produce desired images. This demystifies the complex mathematics and computing underlying modern AI image generation.
