How to Implement Functional Components of Transformer and Mini-GPT Model from Scratch Using Tinygrad to Understand Deep Learning Internals
In this tutorial, we explore how to build neural networks from scratch using Tinygrad while remaining fully hands-on with tensors, autograd, attention mechanisms, and transformer architectures. We progressively build every component ourselves, from basic tensor operations to multi-head attention, transformer…
