How to Implement Functional Components of Transformer and Mini-GPT Model from Scratch Using Tinygrad to Understand Deep Learning Internals
In this tutorial, we discover how to construct neural networks from scratch utilizing Tinygrad whereas remaining absolutely hands-on with tensors, autograd, consideration mechanisms, and transformer architectures. We progressively construct each part ourselves, from fundamental tensor operations to multi-head consideration, transformer blocks, and, lastly, a working mini-GPT mannequin. Through every stage, we observe how Tinygrad’s simplicity…
