Build a Minimal Large Language Model from Scratch with Python and PyTorch

This tutorial walks through creating a simple bigram language model in pure Python, refactoring it into a PyTorch implementation, and explains core concepts such as tokenization, embedding layers, loss functions, gradient descent, training loops, and text generation, preparing you for building a full GPT model.

BigramLLMLanguageModel

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Build a Minimal Large Language Model from Scratch with Python and PyTorch