Are you over-investing in AI training time?
Longer training can mean better accuracy, but at what cost? Optimising AI means finding the balance between time, compute usage, and performance gains. Smart teams track diminishing returns and avoid overfitting. Efficient training leads to faster deployment and leaner models. Speed should never sacrifice stability.