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?
Interesting. I was thinking more the code that is used to train models. It seems the ability to run a model is pretty well covered with the likes of llamacpp and such. So not sure it makes much sense in that area. But I assume the team at OpenAI spent a lot of time wriiting code that is used for the training aspect? It can’t just be a couple lines of code that read in some vector data and train the model, then write it out. There must be a ton of logic/etc for that as well?
But then again, maybe that doesnt need to be fast either. I don’t know.