Totally makes sense for C++ or Rust based AI models for inference instead of the over-bloated networks run on Python with sub-optimal inference and fine-tuning costs.
Minimal overhead or zero cost abstractions around deep learning libraries implemented in those languages gives some hope that people like ggerganov are not afraid of the 'don't roll your own deep learning library' dogma and now we can see the results as to why DL on the edge and local AI, is the future of efficiency in deep learning.
We'll see, but Python just can't compete on speed at all, henceforth Modular's Mojo compiler is another one that solves the problem properly with the almost 1:1 familiarity of Python.
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