![](https://lemmy.ml/pictrs/image/XgNXqS4XPe.png)
![](https://fry.gs/pictrs/image/c6832070-8625-4688-b9e5-5d519541e092.png)
That’s what I suspect, too, but I’m not entirely sure in my research so far. The question I am still unsure about: Is it as costly in running, or is the real costly part “just” the “training our model” part? I wondered that, because when I was messing around, things like generative text models could run on my potato PC with a bit of python scripting without too much issue, even if not ideally - as long as I had the already trained dataset downloaded.
You’ve got a great point there, actually