I'm coming at it from the standpoint of implementing an AI model into a suite of applications. Which I have done. I have even trained a custom version of a model to fit our needs.

Plugging into an API is more or less trivial (as you said), but that's only a single aspect of an application. And that's assuming that you're using someone else's API and not running and implementing the model yourself.

[–] Phoenix@programming.dev 1 points 1 year ago (1 children)

You can make it as complicated as you want, of course.

Out of curiosity, what use-case did you find for it? I'm always interested to see how AI is actually applied in real settings.

[–] CeeBee@programming.dev 1 points 1 year ago

We weren't using LLMs, but object detection models.

We were doing facial recognition, patron counting, firearm detection, etc.