

You’re welcome. :)
I just overcame my aversion to medium to read your article, then I read the rest. I have to admit I’m very impressed, not only with what you were doing back then, but the fact we were exploring the same corners before modern “data science” was even a thing! My parallel journey was on a different track from NLP though. I was exploring spike-train-based neural net architecture, unsupervised learning, and how to give neural networks “tools” to work with (not tool calls, actual tools like a paint brush and a virtual canvas, etc). Damn… I think I still have ancient videos of that on my YT channel.
My Intel Celeron™ CPU could never handle more than 4 layers of ~512 neurons maybe? I don’t really remember the specifics, but I think that’s why I stopped back then.
I think that’s why the 2000s were magical for me, although your “grandpa” comments are now hitting me right in the soul. Damn it. :P












If your goal is ease of use and scaling complexity along with your experience, and you’re planning to use Docker like you mentioned, then I recommend Traefic: https://doc.traefik.io/traefik/
If not, then I recommend Caddy or nginx.
Edit: ducking autocorrect changed “of” to “if”
The irony is delicious