A I Models Are Only as Good as the Quality of the Training Data

A i models are only as good as the fidelity and quality of training data. Having bad labels can wreck havoc on your training results. Ai is easily fooled by out of domain data, things it hasn't seen before. If a model cannot generalize well to new data, then it will not be able to perform classification or prediction tasks.