Raise AI Models. Learn How They Think.
A curious network that learns by example. It mimics the world by adjusting weights. Needs many epochs to learn, but capable of soft, fuzzy logic.
A precise logic tree. It follows strict if-then rules. Fast and efficient, but can get confused by complex data that doesn't fit its branches.
An imaginative model that creates from noise. It learns by removing chaos. It has a rich inner world but can be prone to hallucinations.