As a non-ML practitioner who has an interest in the field, I have a question I was hoping someone could answer.
Looking at the page this links to, it gives pretrained models for "common use cases", among other things. Can you actually do anything interesting or novel with those? I feel like any meaningful new use of ML will not be possible with such "beginner building blocks" and you would just wind up with a weaker version of existing offerings. Could someone give me any examples of meaningful ways this can be used?
Looking at the page this links to, it gives pretrained models for "common use cases", among other things. Can you actually do anything interesting or novel with those? I feel like any meaningful new use of ML will not be possible with such "beginner building blocks" and you would just wind up with a weaker version of existing offerings. Could someone give me any examples of meaningful ways this can be used?