How can i Evaluate my unsupervised models

I am an AI beginner and on my first month of progressive overload on projects just after i finished the ML specialisation from coursera and the frequent issue i am having is on Evaluating Unsupervised ML models like Anomaly detection, even GPT is fumbling :upside_down_face:

Since there is no labeled data, an unsupervised model doesn’t provide much opportunity for evaluation. Its more like just a summary of the data set’s characteristics.

Maybe I’m misunderstanding your question. What sort of evaluation do you have in mind?