Live public demonstration of the Autonomic AI Functor Model architecture. Autonomic AI micro-model architecture demonstrating one-shot learning and patch-based model evolution.
Try entering 2 as input and training the model with targets 0.9 and 0.1. Then run prediction on the same input. You should see scores very close to your targets, showing that the model updates immediately without full retraining.
Model state is deterministic and versioned. Training creates reversible patches.
Results will appear here