Need to customize your models for specific use cases before you run them at scale?

AWS just released AWS Nova Forge, which allows you to customize(finetune/train) their foundation models for your specific use cases.

What is a foundation model? They have a wide variety of models, but most seem to be text and image.

I can see those being useful, but what really excites me is the embedding models, which could be used to create custom VectorDBs.

What does that mean from a business standpoint?

Let me go back to my torn bicep example:

You could train an embedding model on thousands of MRI images to rank the bicep on a 1 to 10 score from “Torn” to “Not Torn”. Furthermore, since biceps can tear from the top by the shoulder or the bottom by the elbow, you can classify that as well.

I am curious - Do you have a use case for customizing or fine-tuning your own models? If so, I would love to hear about it.