Writing an LLM from scratch, part 10 – dropout

This article likely discusses the implementation of dropout regularization in a custom-built Large Language Model (LLM). Dropout is a technique used to prevent overfitting in neural networks by randomly deactivating neurons during training. The article's focus on 'writing an LLM from scratch' suggests a technical deep dive into the practical aspects of LLM development, likely covering code, implementation details, and the rationale behind using dropout.