First of all, great job! I think the inference will become more and more important.
That being said, I have a question regarding the ease of use. How difficult it is for someone with python/c++ background to get used to zig and (re)write a model to use with zml?
Hi co-author here. Zig is way simpler than C++. Simple like in an afternoon I was able to onboard in the language and rewrote the core meat of a C++ algorithm and see speed gains (fastBPE for reference).
Coming from Python, the hardest part is learning memory management. What helps with ZML is that the model code is mostly meta programming, so we can be a bit flexible there.
We have a high level API, that should feel familiar to Pytorch user (as myself), but improves in a few ways
That being said, I have a question regarding the ease of use. How difficult it is for someone with python/c++ background to get used to zig and (re)write a model to use with zml?