[AndrewKemendo]

How you parse and manage the inputs is significantly different between those types.

With NLP as one example, you need to determine when are you going to do tokenization? - aka break up the inputs into "tokens." So do you do this at ingest, in transit, at rest?

With CV you don't need to do tokenization at all (probably).

So the tools really come out of the use case and how/when you put them into the production chain.