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That's not how LLMs work, They don't "learn anatomy". They approximate the images they've seen before, simple as. Like cutting up strips of magazines and glueing them onto paper.
You are correct! Absolutely 100% accurate!
That is not how LLMs learn anatomy!
What does that have to do with AI image generation models though?
Image generators are LLMs, with the Language part being loosely defined but that was already the case because they both tokenize everything and don't actually understand words to begin with.
No. LLMs and AI image models are fundamentally, a different technology. They use completely different mathematical models, data models, and target different platform spaces.
As a simple example, to train an LLM you need to feed it lots of text and not much else. To train an image model, you need to feed it billions of tagged images. That is, images that have every stupid little thing in the image "tagged" with a bounding box and text describing what's inside said bounding box.
Also, these terms might not mean anything to you, but LLMs use transformer decoders (autoregressive causal retention) while image models use diffusion networks. The way they work is different at a fundamental level. Text is 1-dimensional and an LLM acts as a word prediction machine whereas image models start with chaos (random garbage pixels) and refine it over and over again in n steps until the chaos starts looking like the prompt.
The way prompting works is also different.
lmfao