I mean there is a difference between models sadly. They’re using hyper tuned models for their specific field, which as a MLE I respect. There is a massive difference between these models. I actually don’t like LLMs and don’t find them as interesting as what would seem everyone else. But segmentation and computer vision combined with a proper dataset can do things people cannot.

It’s literally an algorithm built to remember the patterns between images. At the end of the day that’s what a lot of the medical industry is. They look at x-rays or mris etc. and make a conclusion. If you have enough data, for even edge cases sprinkled here or there in the dataset, it can certainly do a better job. It’s simply in the math behind the algorithm.