Ai Cat cycling

"AI cat cycle" likely refers to a process where artificial intelligence is used in a repetitive or iterative manner, often in the context of training or improving machine learning models.

In this cycle, data is collected, the AI model is trained on this data, and then it is tested and evaluated. Feedback from the evaluation helps to refine the model further. This cycle continues, with the goal of enhancing the model's accuracy and performance over time