Aside from Karpathy's videos, I'd say: Start by any book on traditional neural networks, so you get a decent understanding of what neural networks are, what is

Aside from Karpathy's videos, I'd say: Start by any book on traditional neural networks, so you get a decent understanding of what neural networks are, what is an activation function and what the backpropagation is. From then on, my path was: - numpy user manual, if you don't know it already - a book about pytorch - a book about transformers - a book from Wolfram about LLMs (forgot the names of books, but you can find plenty on Amazon) That's as far as reading / theoretical understanding works. As for understanding in practice (when you've read the theory), I'd say - implement a basic picoGPT/Llama/Mistral model from scratch in python & numpy. I don't know how good your college is in math, but matrix-vector multiplications, dot products and linear algebra in general is a must.