Show me I can save a considerable amount of time training a 70b parameter huggingface model by switching to Elixir, then we can talk about me learning a new language.
Most of the Elixir Nx efforts are on inference, especially on how you can embed and scale it using concurrent and distributed patterns (see this post/video [1]). It may not be what you are looking for but we have more folks deploying than training models, so maybe they will find incentives to give Elixir a try. :)
[1]: https://news.livebook.dev/distributed2-machine-learning-note...
> Why is Python not Sufficient?
It then proceeds to make a case why Python would not have enough speed or support for parallel processing, which is what I'm disputing.