Implemented AlexNet from scratch using just the research paper as source. The notes discuss the fundamental concepts of CNN and showcase various problems Ifaced while coding the Alexnet architecture.

This is a very rustic blog post about the foundational aspect of building a GPT model from the ground up. The article covers essential topics such as tokenization, data chunking, batch processing, and the implementation of a Bigram language model using PyTorch.