RustGPT: A pure-Rust transformer LLM built from scratch

As someone who has spent days wrestling with Python dependency hell just to get a model running, a simple cargo run feels like a dream. But I'm wondering, what was the most painful part of NOT having a framework? I'm betting my coffee money it was debugging the backpropagation logic.

Have you tried uv [1]? It has removed 90% of the pain of running python projects for me.

[1] https://github.com/astral-sh/uv

uv is great, but I think the real fix is just abandoning Python.

The culture that language maintains is rather hostile to maintainable development, easier to just switch to Rust and just write better code by default.

Every tool for the right job. If you are doing tons of scripting (for e.g. tests on platforms different than Rust), Python can be a solid valid alternative.

Also, tons of CAE platforms have Python bindings, so you are "forced" to work on Python. Sometimes the solution is not just "abandoning a language".

If it fits your purpose, knock yourself out, for others that may be reading: uv is great for Python dependency management on development, I still have to test it for deployment :)

>Every tool for the right job. If you are doing tons of scripting (for e.g. tests on platforms different than Rust), Python can be a solid valid alternative.

I'd say Go is a better alternative if you want to replace python scripting. Less friction and much faster compilation times than Rust.

Go performance is terrible for numeric stuff though, no SIMD support.

That's not really true, but we're talking about a Python replacement for scripting tasks, not core compute tasks, anyway. It is not like Python is the paragon of SIMD support. Any real Python workloads end up being written in C for good reason, using Python only as the glue. Go can also interface with C code, and despite all the flack it gets for its C call overhead it is still significantly faster at calling C code than Python is.