Learning guide

[zshn25]

This is great work. As a junior, it is overwhelming to go through the implementation for learning purpose. Where do I start? It would be great if the core team took some time to explain the foundations. Maybe something like a tutorial similar to Andrej's micrograd video or George's tinygrad video. This is in-general request for your other work on llama-cpp and whisper-cpp. I think these are great resources for learning real world inference optimizations

[Ronin825]

I would also like this. I was able to understand a good bit of it by reading the example code, But some tutorials; either by way of documentation and simple step by step example in increasing complexity or some videos would go a long way. Most of the information i have seen is either super long complex example or videos that simply call the examples application as system calls instead of using and integrating the library directly in their code.