I know the typical answer is “no because all the libs are in python”… but I am kind of baffled why more porting isn’t going on especially to Go given how Go like Python is stupid easy to learn and yet much faster to run. Truly not trying to start a flame war or anything. I am just a bigger fan of Go than Python and was thinking coming in to 2024 especially with all the huge money in AI now, we’d see a LOT more movement in the much faster runtime of Go while largely as easy if not easier to write/maintain code with. Not sure about Rust… it may run a little faster than Go, but the language is much more difficult to learn/use but it has been growing in popularity so was curious if that is a potential option.
There are some Go libs I’ve found but the few I have seem to be 3, 4 or more years old. I was hoping there would be things like PyTorch and the likes converted to Go.
I was even curious with the power of the GPT4 or DeepSeek Coder or similar, how hard would it be to run conversions between python libraries to go and/or is anyone working on that or is it pretty impossible to do so?
So are you (your company) building models very fine tuned for specific needs of your company (products)? That is what I am trying to learn… but knowing Go and not a big fan of Python (dont know it well), I was hoping I could utilize my knowledge of Go + the runtime speed/memory/etc to train my own custom models. I am NOT sure how all that works though. I feel like its just some loop that reads in the prepared data and puts it in a new format, and thats it. lol. I don’t quite understand what “training” does. How it works. Or the code behind training. Is it some iterative process… like keeps repeating the same thing so the AI “learns”… so like… you ask it “What is 2+2” and it says 8, 7, 9, 13, 6, 5, 4, 2, 3, 4, 5, 4, 4, 5, 4, 4, 4, 4, 4, 4, … ?? So eventually on some iteration it gets the right answer consistently… and at that point you say “trained” next question?