How LLMs Work, Explained Without Math (miguelgrinberg.com)

The article explains how Large Language Models (LLMs) like GPT work without using advanced mathematics, describing their core functionality of predicting the next token in a text sequence based on the input provided. It covers the concepts of tokenization, probability prediction, and the use of neural networks with a focus on the Transformer architecture and its attention mechanism.

Visit Original Article →