Building an LLM from Scratch: Automatic Differentiation (2023)

The article likely discusses the implementation of a Large Language Model (LLM) focusing on the mathematical technique of automatic differentiation. This suggests a technical deep dive into the inner workings of LLMs, potentially covering topics like gradient calculation and backpropagation. The 'from scratch' aspect implies a focus on understanding the fundamental building blocks rather than using pre-built libraries.